On elliptic solutions of the cubic complex one-dimensional Ginzburg-Landau equation

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好奇心是科学突破的秘诀英语作文

好奇心是科学突破的秘诀英语作文

好奇心是科学突破的秘诀英语作文Curiosity is the key to scientific breakthroughs. Throughout history, countless discoveries and innovations have been made possible by individuals who were driven by a relentless curiosity to explore the unknown. From the invention of the light bulb to the discovery of penicillin, curiosity has played a fundamental role in pushing the boundaries of human knowledge and understanding.One of the greatest examples of the power of curiosity in driving scientific breakthroughs is the story of Sir Isaac Newton. As a young student, Newton was constantly asking questions and seeking answers to the mysteries of the world around him. His curiosity led him to develop the laws of motion and gravitation, revolutionizing our understanding of the universe and laying the foundation for modern physics.In a similar vein, the pioneering research of Marie Curie in the field of radioactivity was fueled by her insatiable curiosity. Despite facing numerous obstacles and challenges as a woman in a male-dominated field, Curie's relentless pursuit of knowledge ultimately led to groundbreaking discoveries that transformed our understanding of the nature of matter and energy.More recently, the curiosity of scientists like Jane Goodall has led to new insights into the behavior of chimpanzees and other primates. Through decades of observation and research, Goodall has challenged conventional thinking and deepened our understanding of the complex social structures and behaviors of these animals.In today's rapidly evolving world, curiosity continues to drive scientific progress in fields ranging from space exploration to biotechnology. The Mars Curiosity rover, for example, is a testament to humanity's insatiable desire toexplore and discover new horizons. By analyzing the Martian surface and collecting valuable data, the rover is helping scientists unlock the mysteries of the Red Planet and pave the way for future missions to Mars.In conclusion, curiosity remains a powerful force that propels scientific breakthroughs and drives innovation. By embracing our natural inclination to question, explore, and discover, we can unlock the secrets of the universe and push the boundaries of human knowledge further than ever before. As the famous physicist Richard Feynman once said, "I would rather have questions that can't be answered than answers that can't be questioned." It is this spirit of curiosity that will continue to inspire and guide us on our quest for understanding and discovery.。

Advanced Mathematical Modeling Techniques

Advanced Mathematical Modeling Techniques

Advanced Mathematical ModelingTechniquesIn the realm of scientific inquiry and problem-solving, the application of advanced mathematical modeling techniques stands as a beacon of innovation and precision. From predicting the behavior of complex systems to optimizing processes in various fields, these techniques serve as invaluable tools for researchers, engineers, and decision-makers alike. In this discourse, we delve into the intricacies of advanced mathematical modeling techniques, exploring their principles, applications, and significance in modern society.At the core of advanced mathematical modeling lies the fusion of mathematical theory with computational algorithms, enabling the representation and analysis of intricate real-world phenomena. One of the fundamental techniques embraced in this domain is differential equations, serving as the mathematical language for describing change and dynamical systems. Whether in physics, engineering, biology, or economics, differential equations offer a powerful framework for understanding the evolution of variables over time. From classical ordinary differential equations (ODEs) to their more complex counterparts, such as partial differential equations (PDEs), researchers leverage these tools to unravel the dynamics of phenomena ranging from population growth to fluid flow.Beyond differential equations, advanced mathematical modeling encompasses a plethora of techniques tailored to specific applications. Among these, optimization theory emerges as a cornerstone, providing methodologies to identify optimal solutions amidst a multitude of possible choices. Whether in logistics, finance, or engineering design, optimization techniques enable the efficient allocation of resources, the maximization of profits, or the minimization of costs. From linear programming to nonlinear optimization and evolutionary algorithms, these methods empower decision-makers to navigate complex decision landscapes and achieve desired outcomes.Furthermore, stochastic processes constitute another vital aspect of advanced mathematical modeling, accounting for randomness and uncertainty in real-world systems. From Markov chains to stochastic differential equations, these techniques capture the probabilistic nature of phenomena, offering insights into risk assessment, financial modeling, and dynamic systems subjected to random fluctuations. By integrating probabilistic elements into mathematical models, researchers gain a deeper understanding of uncertainty's impact on outcomes, facilitating informed decision-making and risk management strategies.The advent of computational power has revolutionized the landscape of advanced mathematical modeling, enabling the simulation and analysis of increasingly complex systems. Numerical methods play a pivotal role in this paradigm, providing algorithms for approximating solutions to mathematical problems that defy analytical treatment. Finite element methods, finite difference methods, and Monte Carlo simulations are but a few examples of numerical techniques employed to tackle problems spanning from structural analysis to option pricing. Through iterative computation and algorithmic refinement, these methods empower researchers to explore phenomena with unprecedented depth and accuracy.Moreover, the interdisciplinary nature of advanced mathematical modeling fosters synergies across diverse fields, catalyzing innovation and breakthroughs. Machine learning and data-driven modeling, for instance, have emerged as formidable allies in deciphering complex patterns and extracting insights from vast datasets. Whether in predictive modeling, pattern recognition, or decision support systems, machine learning algorithms leverage statistical techniques to uncover hidden structures and relationships, driving advancements in fields as diverse as healthcare, finance, and autonomous systems.The application domains of advanced mathematical modeling techniques are as diverse as they are far-reaching. In the realm of healthcare, mathematical models underpin epidemiological studies, aiding in the understanding and mitigation of infectious diseases. From compartmental models like the SIR model to agent-based simulations, these tools inform public health policies and intervention strategies, guiding efforts to combat pandemics and safeguard populations.In the domain of climate science, mathematical models serve as indispensable tools for understanding Earth's complex climate system and projecting future trends. Coupling atmospheric, oceanic, and cryospheric models, researchers simulate the dynamics of climate variables, offering insights into phenomena such as global warming, sea-level rise, and extreme weather events. By integrating observational data and physical principles, these models enhance our understanding of climate dynamics, informing mitigation and adaptation strategies to address the challenges of climate change.Furthermore, in the realm of finance, mathematical modeling techniques underpin the pricing of financial instruments, the management of investment portfolios, and the assessment of risk. From option pricing models rooted in stochastic calculus to portfolio optimization techniques grounded in optimization theory, these tools empower financial institutions to make informed decisions in a volatile and uncertain market environment. By quantifying risk and return profiles, mathematical models facilitate the allocation of capital, the hedging of riskexposures, and the management of investment strategies, thereby contributing to financial stability and resilience.In conclusion, advanced mathematical modeling techniques represent a cornerstone of modern science and engineering, providing powerful tools for understanding, predicting, and optimizing complex systems. From differential equations to optimization theory, from stochastic processes to machine learning, these techniques enable researchers and practitioners to tackle a myriad of challenges across diverse domains. As computational capabilities continue to advance and interdisciplinary collaborations flourish, the potential for innovation and discovery in the realm of mathematical modeling knows no bounds. By harnessing the power of mathematics, computation, and data, we embark on a journey of exploration and insight, unraveling the mysteries of the universe and shaping the world of tomorrow.。

高中生英语作文科学探究与创新

高中生英语作文科学探究与创新

高中生英语作文科学探究与创新(中英文版)Title: The Importance of Scientific Inquiry and InnovationIn the contemporary world, scientific inquiry and innovation play a pivotal role in shaping the progress and development of society.As high school students, it is essential for us to understand the significance of these two aspects and integrate them into our academic and personal lives.Scientific inquiry is the systematic process of investigating and understanding natural phenomena.It encourages critical thinking, problem-solving skills, and a deep appreciation for the mysteries of the world.By engaging in scientific inquiry, we develop a curiosity-driven mindset that fosters creativity and intellectual growth.It allows us to question existing knowledge, explore new possibilities, and discover groundbreaking ideas that can lead to innovative solutions.Innovation, on the other hand, is the application of creative ideas and scientific knowledge to improve existing products, services, or processes.It is the engine of progress and economic growth, driving industries forward and transforming the way we live.Through innovation, we can address societal challenges, create sustainable solutions, and enhance the quality of life for people around the world.The integration of scientific inquiry and innovation in education iscrucial for our future success.It equips us with the necessary skills and mindset to navigate the rapidly changing world and contribute meaningfully to society.By engaging in hands-on experiments, conducting research projects, and participating in innovation challenges, we can develop a deeper understanding of scientific concepts and their real-world applications.Moreover, scientific inquiry and innovation encourage collaboration and interdisciplinary learning.They promote communication skills, teamwork, and the ability to work effectively in diverse environments.These skills are essential for success in today's interconnected world, where complex problems require collaborative solutions.In conclusion, scientific inquiry and innovation are vital components of our education and personal growth.They cultivate critical thinking, creativity, and problem-solving skills, and prepare us for future challenges.By embracing these concepts, we can contribute to the advancement of society and make a positive impact on the world.Therefore, it is crucial for high school students like us to actively engage in scientific inquiry and foster a culture of innovation in our academic and personal lives.。

信息安全导论课程-ch10-密钥管理及其他公钥体制

信息安全导论课程-ch10-密钥管理及其他公钥体制
• Pohlig-Hellman algorithm – 如果p-1是小素数的乘积,则易求 – 因此,p-1应含有大素因子
B
Diffie-Hellman密钥交换协议
• DH76,Diffie-Hellman • 步骤
– 选取大素数q和它的一个生成元g,这些数Xb
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密码编码学与网络安全
电子工业出版社 2006 - 2007
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第10章 公钥密钥管理及其他公钥体制
• • * * • • 10.1 密钥管理 10.2 Diffie-Hellman密钥交换 10.a PKCS#3 & RFC 10.b ElGamal 10.3 椭圆曲线 10.4 椭圆曲线密码学ECC ↓ ↓ ↓ ↓ ↓ ↓
B
RFC 5114
B
10.b ElGamal加密
• 准备
– 素数p,Zp*中本原元g,公开参数 – 私钥a,公钥b=ga mod p
• 加密
– 对明文1<=m<=p-1,选随机数k – 密文(c1, c2) c1=gk mod p, c2=mbk mod p
• 解密
– m=c2 (c1a)-1=mbk ((gk)a)-1 =m(ga)k (g-ka) =m mod p
• 在线中心容易成为单点故障和性能瓶颈
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公钥授权:在线中心

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4. 证书:离线中心
Certificate Authentication
• CA是受信任的权威机构,有一对公钥私钥。 • 每个用户自己产生一对公钥和私钥,并把公钥提交 给CA申请证书。 • CA以某种可靠的方式核对申请人的身份及其公钥, 并用自己的私钥“签发”证书。 • 证书主要内容:用户公钥,持有人和签发人的信息 ,用途,有效期间,签名等。 • 证书在需要通信时临时交换,并用CA的公钥验证。 • 有了经CA签名保证的用户公钥,则可进行下一步的 身份验证和交换会话密钥等。

hl定理证明 -回复

hl定理证明 -回复

hl定理证明-回复Hilbert's Last Theorem Proof JourneyIn the late 19th century, the renowned mathematician David Hilbert proposed a groundbreaking conjecture that would go on to captivate mathematicians for decades to come. Known as Hilbert's Last Theorem, this conjecture states that there are no non-trivial integral solutions to the equation a^n + b^n = c^n for n>2. The theorem remained unproven for almost a century until it was finally proved by the mathematician Andrew Wiles in 1994. In this article, we will embark on a journey through the proof of Hilbert's Last Theorem, exploring the key ideas and mathematical concepts behind this monumental accomplishment.1. Background and Early Attempts:To understand the significance of Hilbert's Last Theorem, it is essential to delve into the history of number theory and the various attempts made to prove this conjecture. The study of Diophantine equations, named after the ancient Greek mathematician Diophantus, deals with finding integer solutions for polynomial equations. Hilbert's Last Theorem, a specific type of Diophantine equation, garnered attention due to its profound implications fornumber theory.Attempts to prove Hilbert's Last Theorem were made by several mathematicians over the years. Notable among them was Ernst Eduard Kummer, who made significant progress by introducing the concept of ideal numbers and applying them to investigate certain cases of the theorem. However, Kummer's approach was limited in scope and did not provide a complete proof for all values of n. Other mathematicians continued to explore various avenues, but the elusive proof remained just out of reach.2. Andrew Wiles and His Strategy:Andrew Wiles, an accomplished mathematician, dedicated a significant portion of his career to solving Hilbert's Last Theorem. His approach involved connecting the theorem to another mathematical concept known as elliptic curves. Elliptic curves are a type of cubic curve defined by an equation of the form y^2 = x^3 + ax + b. They had been extensively studied in mathematics and held potential connections to Hilbert's Last Theorem.Wiles realized that proving Hilbert's Last Theorem would require demonstrating a connection between elliptic curves and a specificobject called modular forms. Modular forms are complex functions that possess certain symmetries and are deeply intertwined with number theory. By establishing this connection, Wiles hypothesized that he could leverage the tools and techniques of modular forms to unlock the secrets of Hilbert's Last Theorem.3. Tackling the Main Obstacle:Wiles faced a major challenge in proving the conjecture. He discovered that he needed to prove a conjecture within a conjecture, known as the Taniyama-Shimura-Weil conjecture. This conjecture proposed that every elliptic curve is mathematically linked to a modular form. Proving this conjecture was crucial in connecting the elliptic curves to the modular forms and thus providing a possible pathway to Hilbert's Last Theorem.Wiles dedicated years of intensive research to proving the Taniyama-Shimura-Weil conjecture, eventually succeeding with the help of mathematician Richard Taylor. Their achievement, known as the Modularity Theorem, marked a significant breakthrough in mathematics. Wiles had established the link between elliptic curves and modular forms, opening new doors in the journey towards Hilbert's Last Theorem.4. Concluding the Proof:With the Modularity Theorem in hand, Wiles proceeded to complete the proof of Hilbert's Last Theorem. By combining the concepts of elliptic curves and modular forms, he was able to demonstrate that there are no non-trivial integral solutions for the equation a^n + b^n = c^n when n>2. This groundbreaking achievement marked the end of a century-long quest and solidified Wiles' place in mathematical history.In conclusion, the proof of Hilbert's Last Theorem is an incredible journey through the depths of number theory, elliptic curves, and modular forms. Andrew Wiles' brilliant strategy, culminating in the Modularity Theorem, paved the way to the completion of the proof. This achievement not only solved a long-standing problem but also expanded our understanding of the intricate connections between different areas of mathematics. Hilbert's Last Theorem stands as a testament to the power of human intellect, persistence, and the beauty of mathematical exploration.。

On the M{o}ller's energy complex of the charged dilaton black hole

On the M{o}ller's energy complex of the charged dilaton black hole

a r X i v :g r -q c /9707044v 1 19 J u l 1997NCKU-HEP/97-01On the Møller’s energy complex of the charged dilatonblack holeI-Ching Yang 1,Wei-Fui Lin 2,and Rue-Ron Hsu3Department of Physics,National Cheng Kung UniversityTainan,Taiwan 701,Republic of ChinaABSTRACTUsing Møller’s energy complex ,we obtain the energy distributions of GHS solution and dyonic dilaton black hole solution in the dilaton gravity theory.It is confirmed that the Møller’s energy complex is indeed a 3-scalar under purely spatial transformation in these energy distributions.Some interested properties of the energy distribution of dyonic black hole are disscussed.PASC:04.20.-q,04.50,+hkeywords:Møller’s energy complex,dilaton gravity theory,GHS solution,dy-onic dilaton solutionThe well-known Einstein’s energy complex is the foremost definition of energy complex.This idea comes from that the continuity equation∂Tµν√−gTµν)2∂gµσIn the dilaton gravity theory in which the gravity is coupled to the elec-tromagnetic and dilaton fields can be described by the four -dimensional effective string action [4].The action can be expressed asI =d 4x√∼r)dt 2−1∼r)d ∼r 2−(1−αMe 2φ0,(4)e−2φ=e−2φ0(1−Q 2e∼r2e 2φ.(6)The properties of the GHS solutions are characterized by the mass M ,electric charge Q e and asympotic value of the dilaton φ0.On the other hand,by using a standard spherical coordinate formds 2=∆2dt 2−σ2r 2√r 2,(8)3σ2=r22M(Q2e e2φ0−Q2m e−2φ0),(10)β=(Q2e e2φ0+Q2m e−2φ0),(11)e2φ=e2φ0(1−2λr2+λ2+λ),(12)F01=Q er2.(14) The properties of the CLH solutions are characterized by the mass M,electric charge Q e,magnetic charge Q m and asympotic value of the dilatonφ0.These solutions are related to the GHS solutions by a coordinate transformation∼r= 4M2e4φ0+Q2eMe2φ0whose area is zero,to the essential singularity r=0.Recently,the energy distribution according to the Einstein’s energy-mo-mentum pseudotensor was studied.Based on the GHS solutions,Virbhadra et.al.[6]found a charge independent resultE(r)=M,(16) in which the positive energy is confined to the interior of the black hole.On the other hand,based on the CLH solutions,we obtained a charge dependent4result[7]which is different from Virbhadra’sE(r)=M+Mλ22√r2+λ2+β ,(17)By comparing Eq.(16)and(17),wefind that the different coordinates choosen will induce the same total energy but differents energy distributions without any relation.This shortcoming can be overcome by using Møller’s energy-momentum pseudotensor.Møller’s energy-momentum pseudotensor[2]isΘµν=1∂xσ,(18)whereχµσν=√∂xβ−∂gνβ8π∂χ0k0In the case of the GHS solutions,we obtain the nonvanishing components χ0k0in Eq.(20),χ010=(2M−2Mα8π r(2M−2Mα∼r e2φ0.(23) In the case of the CLH solutions,the nonvanishing componentsχ0k0in (19)areχ010=(2M+4Mλ2r2√r2−βr2+λ2.(25)The energy distributions are shared both by the interior and by the exterior of those charged dilaton black hole.We plot the energy distributions of the dyonic black holes or the extremal dyonic black holes by”GNUPLOT”. For the dyonic black hole or the extremal dyonic black hole,see Fig.1and Fig.4,wefind that the energy distribution can be positive or negative,but they are both positive in the region r>r H.For the pure electric or pure6magnetic charged black hole,i.e.Q m=0or Q e=0,wefind the remarkable property that the energy distributions are always positive except at singular point r=0,see Fig.2,3,5,6.These results indicate that the physical charged black hole solution is either pure electric or pure magnetic when the positive definite condition,all the energy distribution function are positive definite expect the singularity,is imposed.Comparing the Møller’energy distributions of the GHS solutions and the CLH solutions,wefind that the results of the CHL solutions seem to be different from the GHS solutions.But they are related by scratching the magnetic charge Q m of CHL solution and by the coordinate transformation (15)which is a purely spatial transformation.Therefore,it will be the same energy distributions of the CLH solutions and the GHS solutions.Then we confirm that the statement in Møller’s paper,”the property of the Møller’s energy complex is that transforms as3-scalar with respect to the group of purely spatial transformation”,is still valid for the dilaton gravity theory.AcknowledgementsI.C.Yang would like to thanks Prof.K.S.Virbhadra and Prof.J.M.Nester for useful comments and discussions.This work is supported in part by the National Science Council of the Republic of China under grants NSC-86-2112-M006-003.7References[1]ndau and E.M.Lifshitz,The Classical Theory of Fields,(Perg-amon,Oxford,1975).[2]C.Møller,Ann.Phys.(NY)4,347(1958).[3]C.Møller,Ann.Phys.(NY)12,118(1961).[4]D.Garfinkle,G.T.Horowitz and A.Strominger,Phys.Rev.D43,3140(1991).[5]G.J.Cheng,W.F.Lin and R.R.Hsu,J.Math.Phys.35,4839(1994).[6]K.S.Virbhadra and J.C.Parikh,Phys.Lett.B317,312(1993).[7]I.C.Yang,C.T.Yeh,R.R.Hsu and C.R.Lee,to appear in Int.J.Mod.Phys.D,gr-qc/9609038.8-8-6-4-2020.511.522.533.544.55E(r)rThe position of horizon atr H =2.97160.511.5212345E(r)rThe position of horizon atr H =3.742?Figure3:The energy distribution of pure magnetic black hole withφ0=0, M=2,Q e=0and Q m=1.Figure4:The energy distribution of extremal dyonic black hole withφ0=0,√ 2.Q e=102.2and Q m=0. 11。

艺术与科学交汇英语作文

艺术与科学交汇英语作文

艺术与科学交汇英语作文Art and Science ConvergenceThe relationship between art and science has long been a subject of fascination and debate. These two seemingly disparate fields have often been viewed as separate and distinct, with art representing the realm of creativity and subjective expression, and science representing the pursuit of objective truth and empirical knowledge. However, a closer examination reveals that the boundaries between art and science are far more blurred than they might initially appear. In fact, the convergence of these two disciplines has given rise to a rich and dynamic interplay that has profoundly shaped our understanding of the world and our place within it.One of the most compelling examples of the convergence of art and science can be found in the field of architecture. Architects, often referred to as the "master builders," must possess a deep understanding of engineering principles, materials science, and structural design in order to create functional and aesthetically pleasing structures. At the same time, they must also possess a keen artistic sensibility, an ability to envision and translate abstract concepts into tangible forms. The result is a synthesis of technicalexpertise and creative vision that has produced some of the most iconic and innovative buildings in the world.Similarly, the field of industrial design has long been a testament to the fruitful collaboration between art and science. Industrial designers must not only consider the functional requirements of a product, but also its aesthetic appeal and user experience. They must balance the practical demands of engineering with the subjective preferences of consumers, creating products that are not only efficient and durable, but also visually striking and emotionally engaging.In the realm of visual arts, the influence of science can be seen in the development of new media and technologies. The advent of digital art, for instance, has transformed the way artists create and interact with their work. Digital artists can now manipulate images, create animations, and even generate entirely new forms of visual expression using sophisticated software and hardware. Similarly, the field of biotechnology has given rise to a new genre of "bio-art," in which artists use living organisms, such as bacteria or cells, as the medium for their creations.The convergence of art and science is not limited to the physical world, but can also be found in the realm of human expression and cognition. The field of neuroaesthetics, for example, explores theneurological underpinnings of our aesthetic experiences, examining how the brain processes and responds to various forms of art. By studying the neural mechanisms that govern our appreciation of beauty, researchers in this field are gaining new insights into the fundamental nature of human creativity and perception.Furthermore, the collaboration between art and science has also had a profound impact on our understanding of the natural world. Artists have long been inspired by the beauty and complexity of the natural environment, and have used their creative talents to capture and interpret these phenomena in ways that complement and enhance the findings of scientific research. Conversely, the discoveries of science have often inspired artists to explore new avenues of creative expression, leading to the emergence of innovative artistic movements and styles.In conclusion, the convergence of art and science is a testament to the inherent interconnectedness of human knowledge and experience. By embracing the synergies between these two seemingly disparate fields, we can unlock new pathways of understanding, innovation, and creative expression that have the power to transform our world and enrich our lives. As we continue to navigate the challenges and opportunities of the 21st century, the integration of art and science will undoubtedly play a crucial role in shaping our collective future.。

后香农时代的十大数学问题

后香农时代的十大数学问题

后香农时代的十大数学问题Throughout history, mathematicians have always been fascinated by unsolved problems that challenge the limits of human knowledge and ingenuity. The ten mathematical problems proposed by the Clay Mathematics Institute in 2000, known as the Millennium Prize Problems, are some of the most difficult and significant challenges in the field of mathematics today. These problems, which include the Riemann Hypothesis, the P vs NP Problem, and the Birch and Swinnerton-Dyer Conjecture, represent the cutting edge of mathematical research and have the potential to revolutionize our understanding of the natural world.在数学史上,数学家们总是被未解之谜所吸引,这些问题挑战着人类知识和智慧的极限。

克莱数学研究所于2000年提出的十大数学问题,被称为千禧年大奖问题,它们是当今数学领域中最困难和重要的挑战之一。

这些问题包括黎曼假设、P vs NP问题和伯奇-斯温顿-戴尔猜想,代表着数学研究的前沿,并有可能彻底改变我们对自然界的理解。

One of the most famous of these problems is the Riemann Hypothesis, which concerns the distribution of prime numbers andhas baffled mathematicians for over 150 years. The hypothesis states that all non-trivial zeros of the Riemann zeta function have a real part equal to 1/2. If proven true, the Riemann Hypothesis would have far-reaching implications for number theory, cryptography, and computer science. Many mathematicians have tried and failed to prove the hypothesis, making it one of the most tantalizing unsolved problems in mathematics.其中最著名的问题之一是黎曼假设,它涉及素数的分布,困扰了数学家150多年。

Geometric Modeling

Geometric Modeling

Geometric ModelingGeometric modeling is a fundamental concept in the field of computer graphics and design. It involves the creation and manipulation of digital representations of objects and environments using geometric shapes and mathematical equations. This process is essential for various applications, including animation, virtual reality, architectural design, and manufacturing. Geometric modeling plays a crucial role in bringing creative ideas to life and enabling the visualization of complex concepts. In this article, we will explore the significance of geometric modeling from multiple perspectives, including its technical aspects, creative potential, and real-world applications. From a technical standpoint, geometric modeling relies on mathematical principles to define and represent shapes, surfaces, and volumes in a digital environment. This involves the use of algorithms to generate and manipulate geometric data, enabling the creation of intricate and realistic 3D models. The precision and accuracy of geometric modeling are essential for engineering, scientific simulations, and industrial design. Engineers and designers utilize geometric modeling software to develop prototypes, analyze structural integrity, and simulate real-world scenarios. The ability to accurately model physical objects and phenomena in a virtual space is invaluable for testing and refining concepts before they are realized in the physical world. Beyond its technical applications, geometric modeling also offers immense creative potential. Artists and animators use geometric modeling tools to sculpt, texture, and animate characters and environments for films, video games, and virtual experiences. The ability to manipulate geometric primitives and sculpt organic forms empowers creatives to bring their imaginations to life in stunning detail. Geometric modeling software provides a canvas for artistic expression, enabling artists to explore new dimensions of creativity and visual storytelling. Whether it's crafting fantastical creatures or architecting futuristic cityscapes, geometric modeling serves as a medium for boundless creativity and artistic innovation. In the realm of real-world applications, geometric modeling has a profound impact on various industries and disciplines. In architecture and urban planning, geometric modeling software is used to design and visualize buildings, landscapes, and urban developments. This enables architects and urban designers toconceptualize and communicate their ideas effectively, leading to the creation of functional and aesthetically pleasing spaces. Furthermore, geometric modelingplays a critical role in medical imaging and scientific visualization, allowing researchers and practitioners to study complex anatomical structures and visualize scientific data in meaningful ways. The ability to create accurate and detailed representations of biological and physical phenomena contributes to advancementsin healthcare, research, and education. Moreover, geometric modeling is integral to the manufacturing process, where it is used for product design, prototyping,and production. By creating digital models of components and assemblies, engineers can assess the functionality and manufacturability of their designs, leading tothe development of high-quality and efficient products. Geometric modeling also facilitates the implementation of additive manufacturing technologies, such as 3D printing, by providing the digital blueprints for creating physical objects layer by layer. This convergence of digital modeling and manufacturing technologies is revolutionizing the production landscape and enabling rapid innovation across various industries. In conclusion, geometric modeling is a multifaceteddiscipline that intersects technology, creativity, and practicality. Its technical foundations in mathematics and algorithms underpin its applications in engineering, design, and scientific research. Simultaneously, it serves as a creative platform for artists and animators to realize their visions in virtual spaces. Moreover,its real-world applications extend to diverse fields such as architecture, medicine, and manufacturing, where it contributes to innovation and progress. The significance of geometric modeling lies in its ability to bridge the digital and physical worlds, facilitating the exploration, creation, and realization of ideas and concepts. As technology continues to advance, geometric modeling will undoubtedly play an increasingly pivotal role in shaping the future of design, visualization, and manufacturing.。

创新是智能未来的关键英语作文

创新是智能未来的关键英语作文

创新是智能未来的关键英语作文Innovation as the Key to the Intelligent Future.In today's rapidly evolving world, innovation has become the driving force behind the intelligent future. It is the engine that powers progress, pushing the boundaries of technology, science, and society to new heights. The future is intelligent not just because of the advancements in technology but also because of the innovative ways we use these technologies to solve problems, enhance lives, and create new opportunities.The role of innovation in shaping the intelligentfuture is multifaceted. Firstly, it is responsible for the development of new technologies that are shaping the way we live, work, and communicate. Artificial intelligence (AI), for instance, is revolutionizing various industries by automating complex tasks, enhancing decision-making, and improving efficiency. Similarly, the internet of things (IoT) is connecting devices and systems, enabling seamlessdata exchange and intelligent control. These technologies, powered by innovation, are paving the way for a more connected, intelligent, and efficient world.Moreover, innovation is driving the advancement of science and research, leading to breakthroughs that are reshaping our understanding of the world. Fields like neuroscience, genomics, and nanotechnology are making incredible progress, thanks to innovative research methods and collaborations. These advancements are not just theoretical; they have the potential to revolutionize healthcare, energy production, and many other areas, leading to a more sustainable and healthy future.Innovation is also crucial in addressing the challenges of the modern world. Climate change, resource scarcity, and social inequality are among the pressing issues that require innovative solutions. Technologies like renewable energy, smart cities, and inclusive finance are being developed to address these challenges, and it is innovation that is driving their development. By thinking outside the box and challenging traditional paradigms, we can createsolutions that are not just effective but also sustainable and equitable.However, it is important to recognize that innovation is not a one-size-fits-all solution. It needs to be inclusive, ethical, and sustainable to truly benefit society. We must ensure that the benefits of innovation are accessible to all, and not just a privileged few. We must also ensure that innovation is used responsibly, takinginto account its potential impact on society, the environment, and future generations.In conclusion, innovation is the key to the intelligent future. It is driving the development of new technologies, advancing science and research, and providing solutions to the challenges of the modern world. However, to truly realize the potential of innovation, we must approach it with a sense of responsibility and inclusivity, ensuring that its benefits are accessible and sustainable for all. As we move forward into the intelligent future, let us remember that it is not just the technology that matters;it is the innovative spirit that drives us to create a better, more inclusive, and more sustainable world.。

黎曼的就职资格论文(几何基础假设英文版)

黎曼的就职资格论文(几何基础假设英文版)

On the Hypotheses which lie at the Bases ofGeometry.Bernhard RiemannTranslated by William Kingdon Clifford [Nature,Vol.VIII.Nos.183,184,pp.14–17,36,37.]Transcribed by D.R.WilkinsPreliminary Version:December1998On the Hypotheses which lie at the Bases ofGeometry.Bernhard RiemannTranslated by William Kingdon Clifford[Nature,Vol.VIII.Nos.183,184,pp.14–17,36,37.]Plan of the Investigation.It is known that geometry assumes,as things given,both the notion of space and thefirst principles of constructions in space.She gives definitions of them which are merely nominal,while the true determinations appear in the form of axioms.The relation of these assumptions remains consequently in darkness;we neither perceive whether and how far their connection is necessary,nor a priori,whether it is possible.From Euclid to Legendre(to name the most famous of modern reform-ing geometers)this darkness was cleared up neither by mathematicians nor by such philosophers as concerned themselves with it.The reason of this is doubtless that the general notion of multiply extended magnitudes(in which space-magnitudes are included)remained entirely unworked.I have in thefirst place,therefore,set myself the task of constructing the notion of a multiply extended magnitude out of general notions of magnitude.It will follow from this that a multiply extended magnitude is capable of different measure-relations,and consequently that space is only a particular case of a triply extended magnitude.But henceflows as a necessary consequence that the propositions of geometry cannot be derived from general notions of magnitude,but that the properties which distinguish space from other con-ceivable triply extended magnitudes are only to be deduced from experience. Thus arises the problem,to discover the simplest matters of fact from which the measure-relations of space may be determined;a problem which from the nature of the case is not completely determinate,since there may be several systems of matters of fact which suffice to determine the measure-relations of space—the most important system for our present purpose being that which Euclid has laid down as a foundation.These matters of fact are—like all1matters of fact—not necessary,but only of empirical certainty;they are hy-potheses.We may therefore investigate their probability,which within the limits of observation is of course very great,and inquire about the justice of their extension beyond the limits of observation,on the side both of the infinitely great and of the infinitely small.I.Notion of an n-ply extended magnitude.In proceeding to attempt the solution of thefirst of these problems,the development of the notion of a multiply extended magnitude,I think I may the more claim indulgent criticism in that I am not practised in such under-takings of a philosophical nature where the difficulty lies more in the notions themselves than in the construction;and that besides some very short hints on the matter given by Privy Councillor Gauss in his second memoir on Biquadratic Residues,in the G¨o ttingen Gelehrte Anzeige,and in his Jubilee-book,and some philosophical researches of Herbart,I could make use of no previous labours.§1.Magnitude-notions are only possible where there is an antecedent general notion which admits of different specialisations.According as there exists among these specialisations a continuous path from one to another or not,they form a continuous or discrete manifoldness;the individual special-isations are called in thefirst case points,in the second case elements,of the manifoldness.Notions whose specialisations form a discrete manifoldness are so common that at least in the cultivated languages any things being given it is always possible tofind a notion in which they are included.(Hence mathematicians might unhesitatingly found the theory of discrete magni-tudes upon the postulate that certain given things are to be regarded as equivalent.)On the other hand,so few and far between are the occasions for forming notions whose specialisations make up a continuous manifoldness, that the only simple notions whose specialisations form a multiply extended manifoldness are the positions of perceived objects and colours.More fre-quent occasions for the creation and development of these notions occurfirst in the higher mathematic.Definite portions of a manifoldness,distinguished by a mark or by a boundary,are called Quanta.Their comparison with regard to quantity is accomplished in the case of discrete magnitudes by counting,in the case of continuous magnitudes by measuring.Measure consists in the superposition of the magnitudes to be compared;it therefore requires a means of using one magnitude as the standard for another.In the absence of this,two magnitudes can only be compared when one is a part of the other;in which2case also we can only determine the more or less and not the how much.The researches which can in this case be instituted about them form a general division of the science of magnitude in which magnitudes are regarded not as existing independently of position and not as expressible in terms of a unit, but as regions in a manifoldness.Such researches have become a necessity for many parts of mathematics,e.g.,for the treatment of many-valued analytical functions;and the want of them is no doubt a chief cause why the celebrated theorem of Abel and the achievements of Lagrange,Pfaff,Jacobi for the general theory of differential equations,have so long remained unfruitful.Out of this general part of the science of extended magnitude in which nothing is assumed but what is contained in the notion of it,it will suffice for the present purpose to bring into prominence two points;thefirst of which relates to the construction of the notion of a multiply extended manifoldness,the second relates to the reduction of determinations of place in a given manifoldness to determinations of quantity,and will make clear the true character of an n-fold extent.§2.If in the case of a notion whose specialisations form a continuous manifoldness,one passes from a certain specialisation in a definite way to another,the specialisations passed over form a simply extended manifold-ness,whose true character is that in it a continuous progress from a point is possible only on two sides,forwards or backwards.If one now supposes that this manifoldness in its turn passes over into another entirely different,and again in a definite way,namely so that each point passes over into a definite point of the other,then all the specialisations so obtained form a doubly extended manifoldness.In a similar manner one obtains a triply extended manifoldness,if one imagines a doubly extended one passing over in a definite way to another entirely different;and it is easy to see how this construction may be continued.If one regards the variable object instead of the deter-minable notion of it,this construction may be described as a composition of a variability of n+1dimensions out of a variability of n dimensions and a variability of one dimension.§3.I shall show how conversely one may resolve a variability whose region is given into a variability of one dimension and a variability of fewer dimen-sions.To this end let us suppose a variable piece of a manifoldness of one dimension—reckoned from afixed origin,that the values of it may be compa-rable with one another—which has for every point of the given manifoldness a definite value,varying continuously with the point;or,in other words, let us take a continuous function of position within the given manifoldness, which,moreover,is not constant throughout any part of that manifoldness.3Every system of points where the function has a constant value,forms then a continuous manifoldness of fewer dimensions than the given one.These man-ifoldnesses pass over continuously into one another as the function changes; we may therefore assume that out of one of them the others proceed,and speaking generally this may occur in such a way that each point passes over into a definite point of the other;the cases of exception(the study of which is important)may here be left unconsidered.Hereby the determination of position in the given manifoldness is reduced to a determination of quantity and to a determination of position in a manifoldness of less dimensions.It is now easy to show that this manifoldness has n−1dimensions when the given manifold is n-ply extended.By repeating then this operation n times, the determination of position in an n-ply extended manifoldness is reduced to n determinations of quantity,and therefore the determination of position in a given manifoldness is reduced to afinite number of determinations of quantity when this is possible.There are manifoldnesses in which the deter-mination of position requires not afinite number,but either an endless series or a continuous manifoldness of determinations of quantity.Such manifold-nesses are,for example,the possible determinations of a function for a given region,the possible shapes of a solidfigure,&c.II.Measure-relations of which a manifoldness of n dimensions is capable on the assumption that lines have a length independent of position,and consequently that every line may be measured by every other.Having constructed the notion of a manifoldness of n dimensions,and found that its true character consists in the property that the determina-tion of position in it may be reduced to n determinations of magnitude,we come to the second of the problems proposed above,viz.the study of the measure-relations of which such a manifoldness is capable,and of the condi-tions which suffice to determine them.These measure-relations can only be studied in abstract notions of quantity,and their dependence on one another can only be represented by formulæ.On certain assumptions,however,they are decomposable into relations which,taken separately,are capable of geo-metric representation;and thus it becomes possible to express geometrically the calculated results.In this way,to come to solid ground,we cannot,it is true,avoid abstract considerations in our formulæ,but at least the results of calculation may subsequently be presented in a geometric form.The foun-dations of these two parts of the question are established in the celebrated memoir of Gauss,Disqusitiones generales circa superficies curvas.§1.Measure-determinations require that quantity should be independent of position,which may happen in various ways.The hypothesis whichfirst4presents itself,and which I shall here develop,is that according to which the length of lines is independent of their position,and consequently every line is measurable by means of every other.Position-fixing being reduced to quantity-fixings,and the position of a point in the n -dimensioned manifold-ness being consequently expressed by means of n variables x 1,x 2,x 3,...,x n ,the determination of a line comes to the giving of these quantities as functions of one variable.The problem consists then in establishing a mathematical expression for the length of a line,and to this end we must consider the quan-tities x as expressible in terms of certain units.I shall treat this problem only under certain restrictions,and I shall confine myself in the first place to lines in which the ratios of the increments dx of the respective variables vary continuously.We may then conceive these lines broken up into elements,within which the ratios of the quantities dx may be regarded as constant;and the problem is then reduced to establishing for each point a general expression for the linear element ds starting from that point,an expression which will thus contain the quantities x and the quantities dx .I shall sup-pose,secondly,that the length of the linear element,to the first order,is unaltered when all the points of this element undergo the same infinitesimal displacement,which implies at the same time that if all the quantities dx are increased in the same ratio,the linear element will vary also in the same ratio.On these suppositions,the linear element may be any homogeneous function of the first degree of the quantities dx ,which is unchanged when we change the signs of all the dx ,and in which the arbitrary constants are continuous functions of the quantities x .To find the simplest cases,I shall seek first an expression for manifoldnesses of n −1dimensions which are everywhere equidistant from the origin of the linear element;that is,I shall seek a continuous function of position whose values distinguish them from one another.In going outwards from the origin,this must either increase in all directions or decrease in all directions;I assume that it increases in all directions,and therefore has a minimum at that point.If,then,the first and second differential coefficients of this function are finite,its first differential must vanish,and the second differential cannot become negative;I assume that it is always positive.This differential expression,of the second order remains constant when ds remains constant,and increases in the duplicate ratio when the dx ,and therefore also ds ,increase in the same ratio;it must therefore be ds 2multiplied by a constant,and consequently ds is the square root of an always positive integral homogeneous function of the second order of the quantities dx ,in which the coefficients are continuous functions of the quantities x .For Space,when the position of points is expressed by rectilin-ear co-ordinates,ds = (dx )2;Space is therefore included in this simplest5case.The next case in simplicity includes those manifoldnesses in which the line-element may be expressed as the fourth root of a quartic differential ex-pression.The investigation of this more general kind would require no really different principles,but would take considerable time and throw little new light on the theory of space,especially as the results cannot be geometrically expressed;I restrict myself,therefore,to those manifoldnesses in which the line element is expressed as the square root of a quadric differential expres-sion.Such an expression we can transform into another similar one if we substitute for the n independent variables functions of n new independent variables.In this way,however,we cannot transform any expression into any other;since the expression contains 12n (n +1)coefficients which are arbitrary functions of the independent variables;now by the introduction of new vari-ables we can only satisfy n conditions,and therefore make no more than n of the coefficients equal to given quantities.The remaining 1n (n −1)are then entirely determined by the nature of the continuum to be represented,and consequently 12n (n −1)functions of positions are required for the determina-tion of its measure-relations.Manifoldnesses in which,as in the Plane and in Space,the line-element may be reduced to the form √ dx 2,are therefore only a particular case of the manifoldnesses to be here investigated;they re-quire a special name,and therefore these manifoldnesses in which the square of the line-element may be expressed as the sum of the squares of complete differentials I will call flat .In order now to review the true varieties of all the continua which may be represented in the assumed form,it is necessary to get rid of difficulties arising from the mode of representation,which is ac-complished by choosing the variables in accordance with a certain principle.§2.For this purpose let us imagine that from any given point the system of shortest limes going out from it is constructed;the position of an arbitrary point may then be determined by the initial direction of the geodesic in which it lies,and by its distance measured along that line from the origin.It can therefore be expressed in terms of the ratios dx 0of the quantities dx in this geodesic,and of the length s of this line.Let us introduce now instead of the dx 0linear functions dx of them,such that the initial value of the square of the line-element shall equal the sum of the squares of these expressions,so that the independent varaibles are now the length s and the ratios of the quantities dx .Lastly,take instead of the dx quantities x 1,x 2,x 3,...,x n proportional to them,but such that the sum of their squares =s 2.When we introduce these quantities,the square of the line-element is dx 2for infinitesimal values of the x ,but the term of next order in it is equal to a homogeneous function of the second order of the 1n (n −1)quantities (x 1dx 2−x 2dx 1),(x 1dx 3−x 3dx 1)...an infinitesimal,therefore,of the fourth order;so that6we obtain a finite quantity on dividing this by the square of the infinitesimal triangle,whose vertices are (0,0,0,...),(x 1,x 2,x 3,...),(dx 1,dx 2,dx 3,...).This quantity retains the same value so long as the x and the dx are included in the same binary linear form,or so long as the two geodesics from 0to x and from 0to dx remain in the same surface-element;it depends therefore only on place and direction.It is obviously zero when the manifold represented is flat,i.e.,when the squared line-element is reducible to dx 2,and may therefore be regarded as the measure of the deviation of the manifoldness from flatness at the given point in the given surface-direction.Multiplied by −34it becomes equal to the quantity which Privy Councillor Gauss has called the total curvature of a surface.For the determination of the measure-relations of a manifoldness capable of representation in the assumed form we found that 12n (n −1)place-functions were necessary;if,therefore,the curvature at each point in 1n (n −1)surface-directions is given,the measure-relations of the continuum may be determined from them—provided there be no identical relations among these values,which in fact,to speak generally,is not the case.In this way the measure-relations of a manifoldness in which the line-element is the square root of a quadric differential may be expressed in a manner wholly independent of the choice of independent variables.A method entirely similar may for this purpose be applied also to the manifoldness in which the line-element has a less simple expression,e.g.,the fourth root of a quartic differential.In this case the line-element,generally speaking,is no longer reducible to the form of the square root of a sum of squares,and therefore the deviation from flatness in the squared line-element is an infinitesimal of the second order,while in those manifoldnesses it was of the fourth order.This property of the last-named continua may thus be called flatness of the smallest parts.The most important property of these continua for our present purpose,for whose sake alone they are here investigated,is that the relations of the twofold ones may be geometrically represented by surfaces,and of the morefold ones may be reduced to those of the surfaces included in them;which now requires a short further discussion.§3.In the idea of surfaces,together with the intrinsic measure-relations in which only the length of lines on the surfaces is considered,there is al-ways mixed up the position of points lying out of the surface.We may,however,abstract from external relations if we consider such deformations as leave unaltered the length of lines—i.e.,if we regard the surface as bent in any way without stretching,and treat all surfaces so related to each other as equivalent.Thus,for example,any cylindrical or conical surface counts as equivalent to a plane,since it may be made out of one by mere bend-ing,in which the intrinsic measure-relations remain,and all theorems about7a plane—therefore the whole of planimetry—retain their validity.On the other hand they count as essentially different from the sphere,which cannot be changed into a plane without stretching.According to our previous in-vestigation the intrinsic measure-relations of a twofold extent in which the line-element may be expressed as the square root of a quadric differential, which is the case with surfaces,are characterised by the total curvature.Now this quantity in the case of surfaces is capable of a visible interpretation,viz., it is the product of the two curvatures of the surface,or multiplied by the area of a small geodesic triangle,it is equal to the spherical excess of the same.Thefirst definition assumes the proposition that the product of the two radii of curvature is unaltered by mere bending;the second,that in the same place the area of a small triangle is proportional to its spherical excess. To give an intelligible meaning to the curvature of an n-fold extent at a given point and in a given surface-direction through it,we must start from the fact that a geodesic proceeding from a point is entirely determined when its initial direction is given.According to this we obtain a determinate surface if we prolong all the geodesics proceeding from the given point and lying initially in the given surface-direction;this surface has at the given point a definite curvature,which is also the curvature of the n-fold continuum at the given point in the given surface-direction.§4.Before we make the application to space,some considerations about flat manifoldness in general are necessary;i.e.,about those in which the square of the line-element is expressible as a sum of squares of complete differentials.In aflat n-fold extent the total curvature is zero at all points in every direction;it is sufficient,however(according to the preceding investigation), for the determination of measure-relations,to know that at each point thecurvature is zero in12n(n−1)independent surface directions.Manifoldnesseswhose curvature is constantly zero may be treated as a special case of those whose curvature is constant.The common character of those continua whose curvature is constant may be also expressed thus,thatfigures may be viewed in them without stretching.For clearlyfigures could not be arbitrarily shifted and turned round in them if the curvature at each point were not the same in all directions.On the other hand,however,the measure-relations of the man-ifoldness are entirely determined by the curvature;they are therefore exactly the same in all directions at one point as at another,and consequently the same constructions can be made from it:whence it follows that in aggregates with constant curvaturefigures may have any arbitrary position given them. The measure-relations of these manifoldnesses depend only on the value of the curvature,and in relation to the analytic expression it may be remarked8that if this value is denoted byα,the expression for the line-element may be written1 1+1αx2dx2.§5.The theory of surfaces of constant curvature will serve for a geometric illustration.It is easy to see that surface whose curvature is positive may always be rolled on a sphere whose radius is unity divided by the square root of the curvature;but to review the entire manifoldness of these surfaces,let one of them have the form of a sphere and the rest the form of surfaces of revolution touching it at the equator.The surfaces with greater curvature than this sphere will then touch the sphere internally,and take a form like the outer portion(from the axis)of the surface of a ring;they may be rolled upon zones of spheres having new radii,but will go round more than once. The surfaces with less positive curvature are obtained from spheres of larger radii,by cutting out the lune bounded by two great half-circles and bringing the section-lines together.The surface with curvature zero will be a cylinder standing on the equator;the surfaces with negative curvature will touch the cylinder externally and be formed like the inner portion(towards the axis)of the surface of a ring.If we regard these surfaces as locus in quo for surface-regions moving in them,as Space is locus in quo for bodies,the surface-regions can be moved in all these surfaces without stretching.The surfaces with positive curvature can always be so formed that surface-regions may also be moved arbitrarily about upon them without bending,namely(they may be formed)into sphere-surfaces;but not those with negative-curvature. Besides this independence of surface-regions from position there is in surfaces of zero curvature also an independence of direction from position,which in the former surfaces does not exist.III.Application to Space.§1.By means of these inquiries into the determination of the measure-relations of an n-fold extent the conditions may be declared which are neces-sary and sufficient to determine the metric properties of space,if we assume the independence of line-length from position and expressibility of the line-element as the square root of a quadric differential,that is to say,flatness in the smallest parts.First,they may be expressed thus:that the curvature at each point is zero in three surface-directions;and thence the metric properties of space are determined if the sum of the angles of a triangle is always equal to two right angles.9Secondly,if we assume with Euclid not merely an existence of lines in-dependent of position,but of bodies also,it follows that the curvature is everywhere constant;and then the sum of the angles is determined in all triangles when it is known in one.Thirdly,one might,instead of taking the length of lines to be independent of position and direction,assume also an independence of their length and direction from position.According to this conception changes or differences of position are complex magnitudes expressible in three independent units.§2.In the course of our previous inquiries,wefirst distinguished between the relations of extension or partition and the relations of measure,and found that with the same extensive properties,different measure-relations were conceivable;we then investigated the system of simple size-fixings by which the measure-relations of space are completely determined,and of which all propositions about them are a necessary consequence;it remains to discuss the question how,in what degree,and to what extent these assumptions are borne out by experience.In this respect there is a real distinction between mere extensive relations,and measure-relations;in so far as in the former, where the possible cases form a discrete manifoldness,the declarations of experience are indeed not quite certain,but still not inaccurate;while in the latter,where the possible cases form a continuous manifoldness,every deter-mination from experience remains always inaccurate:be the probability ever so great that it is nearly exact.This consideration becomes important in the extensions of these empirical determinations beyond the limits of observation to the infinitely great and infinitely small;since the latter may clearly become more inaccurate beyond the limits of observation,but not the former.In the extension of space-construction to the infinitely great,we must distinguish between unboundedness and infinite extent,the former belongs to the extent relations,the latter to the measure-relations.That space is an unbounded three-fold manifoldness,is an assumption which is developed by every conception of the outer world;according to which every instant the region of real perception is completed and the possible positions of a sought object are constructed,and which by these applications is for ever confirming itself.The unboundedness of space possesses in this way a greater empirical certainty than any external experience.But its infinite extent by no means follows from this;on the other hand if we assume independence of bodies from position,and therefore ascribe to space constant curvature,it must necessarily befinite provided this curvature has ever so small a positive value.If we prolong all the geodesics starting in a given surface-element, we should obtain an unbounded surface of constant curvature,i.e.,a surface which in aflat manifoldness of three dimensions would take the form of a10。

遇事不决量子力学 英语

遇事不决量子力学 英语

遇事不决量子力学英语Quantum Mechanics in Decision-MakingIn the face of complex and uncertain situations, traditional decision-making approaches often fall short. However, the principles of quantum mechanics, a field of physics that explores the behavior of matter and energy at the subatomic level, can provide valuable insights and a new perspective on problem-solving. By understanding and applying the fundamental concepts of quantum mechanics, individuals and organizations can navigate challenging scenarios with greater clarity and effectiveness.One of the key principles of quantum mechanics is the idea of superposition, which suggests that particles can exist in multiple states simultaneously until they are observed or measured. This concept can be applied to decision-making, where the decision-maker may be faced with multiple possible courses of action, each with its own set of potential outcomes. Rather than prematurely collapsing these possibilities into a single decision, the decision-maker can embrace the superposition and consider the various alternatives in a more open and flexible manner.Another important aspect of quantum mechanics is the principle of uncertainty, which states that the more precisely one property of a particle is measured, the less precisely another property can be known. This principle can be applied to decision-making, where the decision-maker may be faced with incomplete or uncertain information. Instead of trying to eliminate all uncertainty, the decision-maker can acknowledge and work within the constraints of this uncertainty, focusing on making the best possible decision based on the available information.Furthermore, quantum mechanics introduces the concept of entanglement, where two or more particles can become inextricably linked, such that the state of one particle affects the state of the other, even if they are physically separated. This idea can be applied to decision-making in complex systems, where the actions of one individual or organization can have far-reaching and unpredictable consequences for others. By recognizing the interconnectedness of the various elements within a system, decision-makers can better anticipate and navigate the potential ripple effects of their choices.Another key aspect of quantum mechanics that can inform decision-making is the idea of probability. In quantum mechanics, the behavior of particles is described in terms of probability distributions, rather than deterministic outcomes. This probabilistic approach can be applied to decision-making, where the decision-maker canconsider the likelihood of different outcomes and adjust their strategies accordingly.Additionally, quantum mechanics emphasizes the importance of observation and measurement in shaping the behavior of particles. Similarly, in decision-making, the act of observing and gathering information can influence the outcomes of a situation. By being mindful of how their own observations and interventions can impact the decision-making process, decision-makers can strive to maintain a more objective and impartial perspective.Finally, the concept of quantum entanglement can also be applied to the decision-making process itself. Just as particles can become entangled, the various factors and considerations involved in a decision can become deeply interconnected. By recognizing and embracing this entanglement, decision-makers can adopt a more holistic and integrated approach, considering the complex web of relationships and dependencies that shape the outcome.In conclusion, the principles of quantum mechanics offer a unique and compelling framework for navigating complex decision-making scenarios. By embracing the concepts of superposition, uncertainty, entanglement, and probability, individuals and organizations can develop a more nuanced and adaptable approach to problem-solving. By applying these quantum-inspired strategies, decision-makers can navigate the challenges of the modern world with greater clarity, resilience, and effectiveness.。

探索的好奇心:驱动发现与创新的力量

探索的好奇心:驱动发现与创新的力量

探索的好奇心:驱动发现与创新的力量Title: The Curiosity Explorer: Harnessing the Power of Discovery and Innovation1. 英文版: "Unleash your inner explorer! With an insatiable thirst for knowledge, curiosity becomes the compass that steers innovation. It's the spark that ignites ideas into groundbreaking discoveries."中文版: "释放你内心的探索者!对知识的无尽渴望,使好奇心成为指引创新的罗盘。

它是一把点燃新知火花的火种,推动着我们超越常规。

"2. 英文版: "Curiosity is the fertile ground where creativity takes root, nurturing the seeds of invention that transform our world."中文版: "好奇心是创意的肥沃土壤,滋养着创新的种子,它们悄然改变我们的世界。

”3. 英文版: "Each question asked is a step towards unraveling life's mysteries, revealing hidden potential in the realm of discovery."中文版: "每一次提问都是解开生活谜团的关键,揭示出隐藏在发现领域中的无限潜能。

”4. 英文版: "Innovators are not born, but cultivated by their relentless pursuit of understanding through exploration."中文版: "创新者并非天生,而是通过不懈的探索,不断挖掘理解,逐渐培养而成的。

谈谈好奇心对科技创新的影响英语作文

谈谈好奇心对科技创新的影响英语作文

谈谈好奇心对科技创新的影响英语作文The Magic of Being CuriousHave you ever wondered how things work? Like how a remote control can change the channels on your TV from across the room? Or how an airplane can fly way up in the sky? I think about questions like that all the time because I'm really curious about the world around me. And you know what? That curiosity is actually a super power! It helps drive scientific discoveries and technological innovations that make our lives better.Being curious means you don't just accept how things are, you want to understand the why and how behind it all. Famous scientists like Albert Einstein and Marie Curie were insanely curious people. Einstein questioned the basics of how the universe works, which led him to develop amazing theories about space, time, energy and matter that nobody had realized before. Marie Curie had a curious mind that drove her to unlock the mysteries of radiation, discovering new elements like radium and polonium along the way.Curiosity doesn't just help scientists though. It also gives engineers and inventors the spark to create new technologies that can change the world. Can you imagine someone looking ata marble and deciding "Hey, I wonder if I can use this small round rock to help me calculate stuff?" That's basically what happened way back in the 1600s with the world's first computer - just a really curious person playing around with marbles and numbers!More recently, lots of modern technologies we use every day started because someone decided to pursue their curiosity. The microwave oven was invented accidentally by a curious scientist who noticed that the radiation from radar could reheat food. The World Wide Web that connects the internet was created by curious computer scientists who wanted to find a better way to share information. Even Velcro was discovered by a curious guy who went for a walk in the woods and got some prickly seed coverings stuck to his clothes!So next time you find yourself wondering "why?" or think "I wonder how that works?" - don't ignore that curiosity! It could lead you to ask more questions, study harder, and make observations that eventually solve mysteries or create something amazing that helps people. We're lucky to live in a time with so much incredible technology. But you can bet that it all started with curious kids and adults who refused to stop asking questions about the world.Maybe you'll be the next great scientist who revolutionizes our understanding of the human body or outer space. Maybe you'll engineer a new device or computer program that brings people together in ways we can't even imagine yet. Or who knows, maybe you'll look at something super ordinary one day and think "I wonder if I can reinvent this to work in amind-blowing new way?"The greatest innovators and visionaries are always the ones who stay curious. So keep exploring, keep questioning, and never lose that sense of wonder about the world. Your curiosity just might lead to the next big breakthrough!。

《科学探究与创新》高中生英语作文

《科学探究与创新》高中生英语作文

《科学探究与创新》高中生英语作文Title: The Power of Scientific Inquiry and InnovationIn the pursuit of knowledge, scientific inquiry and innovation play a pivotal role in shaping our understanding of the world and driving progress.As high school students, we are the beneficiaries of these processes, which not only enrich our learning experience but also equip us with the skills necessary for a successful future.Scientific inquiry begins with curiosity, that innate human desire to explore and understand the world around us.It is through this curiosity that great minds throughout history have made significant discoveries and advancements.For instance, the scientific method, which is the foundation of all scientific inquiry, was developed through a process of trial and error, leading to a deeper understanding of the natural world.Innovation, on the other hand, is the application of scientific knowledge to create new solutions, products, or services that improve our lives.It is a critical component of progress and development in any field.From the invention of the internet to the development of life-saving medical treatments, innovation has been the driving force behind many of the advancements we enjoy today.For high school students, engaging in scientific inquiry and innovation means more than just learning facts and figures.It means developing a mindset of curiosity, critical thinking, and problem-solving.It means learning to ask questions, to investigate, and to think creatively.And it means understanding that the process of learning is as important as the end result.In conclusion, scientific inquiry and innovation are essential components of education and progress.By fostering a love of learning and encouraging curiosity and creativity, we can ensure that future generations will continue to make strides in understanding and improving our world.As high school students, we have the opportunity to embrace these principles and to become the innovators and problem-solvers of tomorrow.中文翻译:标题:科学探究与创新的力量在追求知识的过程中,科学探究和创新在塑造我们对世界的理解和发展方面发挥着关键作用。

超导合金英文作文

超导合金英文作文

超导合金英文作文Superconducting alloys are a fascinating area of study in materials science. These alloys possess unique properties that make them highly valuable in various applications. For instance, they exhibit zero electrical resistance at low temperatures, allowing for efficient energy transmission. This characteristic alone opens up a world of possibilities for the development of advanced technologies.One interesting aspect of superconducting alloys is their ability to generate strong magnetic fields. This property is particularly useful in applications such as magnetic resonance imaging (MRI) machines, where powerful magnetic fields are required to produce detailed images of the human body. The use of superconducting alloys in MRI machines not only improves the quality of the images but also reduces the power consumption, making the technology more sustainable.Another advantage of superconducting alloys is their high critical current density. This means that they can carry a large amount of electrical current without any loss of energy. This property is crucial in the development of high-speed trains, where the use of superconducting alloys in the magnetic levitation system allows for faster and more efficient transportation. The high critical current density of these alloys ensures that the trains can carry heavy loads while maintaining a high speed.Superconducting alloys also have potential applications in the field of energy storage. By using these alloys in the construction of high-capacity batteries, it is possible to store large amounts of energy in a compact and efficient manner. This could revolutionize the way we store andutilize energy, making renewable sources more viable and reducing our dependence on fossil fuels.In addition to their practical applications, superconducting alloys also hold great scientific interest. The study of these materials allows researchers to explore the fundamental principles of quantum mechanics andunderstand the behavior of electrons in extreme conditions. This knowledge not only contributes to the advancement of materials science but also has implications for otherfields such as physics and engineering.In conclusion, superconducting alloys are a fascinating class of materials with a wide range of applications and scientific significance. Their unique properties, such as zero electrical resistance and high critical current density, make them invaluable in various industries. From energy transmission to transportation and energy storage, these alloys have the potential to revolutionize the way we live and work. The study of superconducting alloys not only contributes to technological advancements but also deepens our understanding of the fundamental laws of nature.。

一类丢番图方程(英)

一类丢番图方程(英)

CN : N (a + b)(b + c)(c + a) = a(a + b)(c + a) + b(b + c)(a + b) + c(c + a)(b + c)
in projective 2-dimensional space which has a rational point, for example, (a, b, c) = (1, −1, 0). The curve is therefore elliptic, and a cubic model is readily computed in the form
In this note, we shall study the representation problem
N
=
b
a +
c
+
c
b +
a
+
a
c +
b
,
(1.1)
29
30
A. Bremner, A. Macleod
where a, b, c are rationals. Equivalently, by homogeneity, we may consider a, b, c ∈ Z.
MSC: Primary 11D25 11G05, Secondary 11Y50
1. Introduction
Several authors have considered the problem of representing integers N (and in particular, positive integers N ) by a homogeneous cubic form in three variables. See, for example, the papers of Bremner & Guy [1], Bremner, Guy, and Nowakowski [2], Brueggeman [3]. Analysis for cubic forms is made possible by the fact the the resulting equation is that of a cubic curve, and hence in general is of genus one.

The-Future-of-Energy-Sustainable-Solutions (1)

The-Future-of-Energy-Sustainable-Solutions (1)

The Future of Energy SustainableSolutionsThe future of energy sustainable solutions is a topic of great importance in today's world. As the global population continues to grow and the demand for energy increases, it is crucial to find sustainable and renewable sources of energy to meet these needs. In this essay, I will explore the various perspectives on the future of energy sustainable solutions, including the challenges and opportunities that lie ahead. One of the most pressing issues in the energy sector is the need to reduce our reliance on fossil fuels. These non-renewable sources of energy not only contribute to environmental degradation but also pose a threat to global energy security. The transition to renewable energy sources such as solar, wind, and hydroelectric power is essential for mitigating the impacts of climate change and ensuring a sustainable energy future. However, this transition is not without its challenges. One of the main obstacles to the widespread adoption of renewable energy is the high initial cost of infrastructure and technology. While the long-term benefits of renewable energy are clear, the upfront investment required can be a significant barrier for many countries and communities. Additionally, the intermittent nature of renewable energy sources such as solar and wind power presents challenges in terms of energy storage and distribution. Without effective energy storage solutions, it can be difficult to ensure a reliable and consistent energy supply from renewable sources. Despite these challenges, there are also numerous opportunities for the future of energy sustainable solutions. Technological advancements in the field of renewable energy are rapidly reducing the costs of solar panels, wind turbines, and energy storage systems. As a result, renewable energy is becoming increasingly competitive with traditional fossil fuels, making it a more attractive option for both developed and developing countries. Furthermore, the decentralization of energy production through small-scale solar installations and community wind farms is empowering individuals and communities to take control of their energy consumption and reduce their reliance on centralized power grids. Another promising development in the future of energy sustainable solutions is the emergence of innovative energystorage technologies. From advanced battery systems to grid-scale energy storage solutions, there is a growing focus on developing efficient and cost-effective methods for storing renewable energy. These advancements not only address the intermittency of renewable energy sources but also have the potential to revolutionize the way we produce and consume energy. In addition to technological advancements, policy and regulatory frameworks play a crucial role in shaping the future of energy sustainable solutions. Governments around the world are increasingly recognizing the importance of transitioning to renewable energy and are implementing a range of incentives and regulations to support this shift. From feed-in tariffs to carbon pricing mechanisms, these policies are driving investment in renewable energy and encouraging the development of innovative sustainable solutions. In conclusion, the future of energy sustainable solutions is a complex and multifaceted issue that requires a holistic approach. While there are certainly challenges to overcome, the opportunities for advancing renewable energy are significant. By investing in technological innovation, addressingpolicy barriers, and empowering communities to participate in the energy transition, we can work towards a more sustainable and secure energy future for generations to come.。

自然科学对话英语作文

自然科学对话英语作文

In the realm of natural sciences, dialogues often serve as a critical tool for the exchange of ideas, hypotheses, and discoveries. Here is a fictional dialogue between two scientists, Dr. Amelia Thompson, a biologist, and Dr. James Carter, a physicist, discussing their respective fields and the potential for interdisciplinary collaboration. Dr. Amelia Thompson: Good morning, James. Ive been reading about your latest research on quantum mechanics. Its fascinating how it ties into the very fabric of our universe.Dr. James Carter: Good morning, Amelia. I appreciate that. Ive always been intrigued by the parallels between the microscopic world and the macroscopic phenomena we observe in biology. Your work on cellular respiration is quite groundbreaking.Dr. Thompson: Thank you, James. Ive been pondering how the efficiency of cellular respiration could be influenced by quantum effects. Do you think theres a possibility for quantum mechanics to play a role in biological processes?Dr. Carter: Its an emerging field, Amelia. Quantum biology is exploring just thathow quantum phenomena might be at play in photosynthesis, bird navigation, and even human vision. The efficiency of energy transfer in photosynthesis, for instance, seems to defy classical explanations.Dr. Thompson: Thats right. Ive been considering the role of quantum coherence in the lightharvesting complexes of plants. It could explain the remarkably high efficiency of energy transfer.Dr. Carter: Absolutely. And in my field, were exploring quantum entanglement and its potential applications in secure communication and computing. I wonder if theres a way we could collaborate, perhaps by applying quantum principles to enhance our understanding of biological systems.Dr. Thompson: I like the sound of that. We could start by examining the quantum effects in photosynthetic organisms and see if we can draw parallels to quantum computing principles.Dr. Carter: Great idea. We could also look into the quantum behavior of molecules during enzyme catalysis. Its known that enzymes speed up reactions, but the exact mechanism is still a mystery.Dr. Thompson: Enzyme kinetics is a complex field. If we can understand the quantum aspects, it could revolutionize drug design and our approach to metabolic disorders.Dr. Carter: Agreed. Lets set up a meeting with our teams to brainstorm. I believe that by combining our expertise in physics and biology, we could make significant strides in both fields.Dr. Thompson: Im looking forward to it. This could be the start of an exciting interdisciplinary project. Who knows what discoveries await us when we bridge the gap between the quantum world and the biological one?Dr. Carter: Indeed, Amelia. The possibilities are as vast as the universe itself. Lets not waste any time and dive into this quantum adventure.This dialogue showcases the potential for collaboration between different scientific fields and the excitement that comes with exploring the unknown. The fusion of quantum mechanics and biology could lead to new insights and technologies that we have yet to imagine.。

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has been shown that single-valued solutions can depend on only one arbitrary parameter. Equation (7) is autonomous, so this parameter is ξ0 : if M = f (ξ ) is a solution, then M = f (ξ − ξ0 ), where ξ0 ∈ C has to be a solution. Special solutions in terms of elementary functions have been found in [5,8,19,23]. All known exact solutions of the CGLE are elementary (rational, trigonometric or hyperbolic) functions. The full list of these solutions is presented in [18,21]. In [21] a new method to search single-valued particular solutions has been developed. Rather than looking for an explicit, closed form expression, R. Conte and M. Musette look for the first order polynomial autonomous ODE for M (ξ ). This method allows to find either elliptic or elementary solutions. It is based on the Painlev´ e analysis [24] and uses the formal Laurent-series solutions. Using these solutions A.N.W. Hone [18] has proved that a necessary condition for eq. (7) to admit elliptic solutions is c = 0. The goal of this paper is to prove that eq. (7) does not admit elliptic solutions in the case c = 0 as well. In other words, neither travelling nor standing wave solutions are elliptic functions. In contrast to [21,18] we consider system (3) instead of eq. (7). Below we show that this choice has some preferences. We consider not only generic (non-zero) values of parameters but also these zero values. The condition (8) gives only one restriction: di = 0.

(3)
ϕ M , M ′ ≡ dd , six real parameters dr , di , gr , gi , sr and si are where ψ ≡ ϕ′ ≡ d dξ ξ given in terms of c, p, q , γ and ω as
q dr + idi = , p
1 sr − isi = , p
gr + igi =
γ + iω 1 2 i + c si sr + c2 s2 . p 2 4 r
(4)
Using (3) one can express ψ in terms of M and its derivatives: csr G′ − 2csi G ψ= + , 2 2 M 2 (g r − d i M ) where 1 1 csi G ≡ MM ′′ − M ′2 − MM ′ + dr M 3 + gi M 2 , 2 4 2 and obtain the third order equation in M : (G′ − 2csi G)2 − 4GM 2 (di M − gr )2 = 0. We will consider the case p ∈ R. q (8) (7) (6) (5)
which defines the following third order system M ′2 csr 2 csi M ′ M ′′ − − ψ − + d r M + g i = 0, − 2M 4M 2 2 2M csr M′ ′ ψ + ψ − − csi + di M − gr = 0, 2 M
1
Introduction
The one-dimensional cubic complex Ginzburg–Landau equation (CGLE) [11] is one of the most-studied nonlinear equations (see [4] and references therein). It is a generic equation which describes many physical phenomena, such as pattern formation near a supercritical Hopf bifurcation [4,10], the propagation of a signal in an optical fiber [2], spatiotemporal intermittency in spatially extended dissipative systems [15,20]. The CGLE iAt + pAxx + q |A|2 A − iγA = 0,
2
Elliptic functions
The function ̺(z ) of the complex variable z is a doubly-periodic function if there exist two numbers ω1 and ω2 with ω1 /ω2 ∈ R, such that for all z ∈ C ̺(z ) = ̺(z + ω1 ) = ̺(z + ω2 ). (9)
2
(1)
A , Axx ≡ ∂ , p ∈ C, where subscribes denote partial derivatives: At ≡ ∂A ∂t ∂x2 q ∈ C and γ ∈ R is not integrable if pqγ = 0. In the case q/p ∈ R, γ = 0 the
arXiv:nlin/0503009v2 [nlin.PS] 30 Apr 2005
Abstract The cubic complex one-dimensional Ginzburg–Landau equation is considered. Using the Hone’s method, based on the use the Laurent-series solutions and the residue theorem, we have proved that this equation has neither elliptic standing wave nor elliptic travelling wave solutions. This result amplifies Hone’s result, that this equation has no elliptic travelling wave solutions. Key words: Standing wave, elliptic function, residue theorem, the cubic complex one-dimensional Ginzburg–Landau equation PACS: 05.04.-a, 02.30.-f, 02.70.Wz, 47.27.-i
By definition a double-periodic meromorphic function is called an elliptic function. These periods define the period parallelograms with vertices z0 , z0 +N1 ω1 , z0 + N2 ω2 and z0 + N1 ω1 + N2 ω2 , where N1 and N2 are arbitrary natural numbers and z0 is an arbitrary complex number. The classical theorems for elliptic functions (see, for example [12,17]) prove that • If an elliptic function has no poles then it is a constant. • The number of elliptic function poles within any finite period parallelogram is finite. • The sum of residues within any finite period parallelogram is equal to zero (the residue theorem). • If ̺(z ) is an elliptic function then any rational function of ̺(z ) and its derivatives is an elliptic function as well. 3
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