Integrable semi-discretization of the coupled nonlinear Schr{o}dinger equations

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Integrable sigma models with theta=pi

Integrable sigma models with theta=pi

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Introduction
One very interesting property of field theories is that they can have critical points which are completely unseen in standard weak-coupling perturbation theory. To prove the existence of these fixed points requires using alternative perturbative methods (such as the large-N or largespin expansion), or relying on non-perturbative methods. One of the remarkable features of twodimensional field theories is that in some cases these non-trivial critical points can be understood non-perturbatively. A famous example arose in the study of integer and half-integer spin chains [1]. The spin-1/2 Heisenberg quantum spin chain is exactly solvable, and from Bethe’s exact solution it is known that the spectrum is gapless. The obvious guess for the field theory describing the spin chain in the continuum limit is the sphere sigma model. This sigma model is an SU (2)-symmetric field theory where the field takes values on a two-sphere. The two-sphere can be parametrized by three fields (v1 , v2 , v3 ) obeying the constraint (v1 )2 + (v2 )2 + (v3 )2 = 1. The Euclidean action is 1 g

经济学研究范式的英文

经济学研究范式的英文

经济学研究范式的英文Economic research paradigms have evolved significantlyover the years, reflecting the complexity and dynamism of the field. The paradigms serve as frameworks that guideeconomists in their quest to understand and explain economic phenomena.One of the earliest and most influential paradigms is the Classical Economics paradigm, which emerged during the Industrial Revolution. It was characterized by a belief inthe self-regulating market and the 'invisible hand' that guides economic activity towards societal welfare. This paradigm emphasized the importance of laissez-faire policies and minimal government intervention.In contrast, the Keynesian Economics paradigm, which gained prominence in the mid-20th century, shifted the focus towards the role of government in managing economic cyclesand addressing unemployment. Keynes argued that aggregate demand, rather than market forces alone, determined the level of economic activity.The Neoclassical Economics paradigm, which emerged in the late 19th century, introduced the concept of marginal utility and the importance of individual choice in economic decisions. This paradigm also emphasized the role of equilibrium in markets and the efficiency of market outcomes.Behavioral Economics, a more recent paradigm, challenges the traditional assumptions of rationality in economic agents. It incorporates insights from psychology to explain anomalies in decision-making that deviate from the predictions of standard economic models.Another significant development is the Post-Keynesian Economics paradigm, which extends Keynes' insights to include issues of income distribution, financial instability, and the role of money and credit in the economy.The Institutional Economics paradigm, meanwhile, focuses on the role of social institutions and their impact on economic behavior and outcomes. It emphasizes the importanceof historical context and the evolution of economic systems.Finally, the Ecological Economics paradigm addresses the interdependence of economic systems with the environment, advocating for sustainable development and the integration of ecological concerns into economic policy.Each of these paradigms offers a unique lens throughwhich to view and interpret economic events and trends. The diversity of these paradigms reflects the multifaceted nature of economics as a discipline and the ongoing quest for a more comprehensive understanding of economic processes.。

双碳 伪概念

双碳 伪概念

双碳伪概念【中英文实用版】Title: Double Carbon - A False ConceptDouble carbon, a term that has been heating up the global discourse, is a pseudo concept created by netizens to describe a situation where a person duplicates their carbon footprint by engaging in environmentally irresponsible behavior.While the idea behind the term may be amusing, it masks a serious issue - the need for accurate and informed discussions about climate change and carbon neutrality.伪概念“双碳”最近在全球讨论中越来越热。

这个由网民创造的概念,用来描述一个人通过从事环境不负责任的行为,复制了自己的碳排放。

虽然这个想法可能很有趣,但它掩盖了一个严重的问题——我们需要对气候变化和碳中和进行准确和有根据的讨论。

The double carbon concept has gained traction, especially in China, as the country accelerates its efforts to achieve carbon neutrality by 2060.However, the term has been criticized for its simplistic view of the complex issue of climate change.It fails to recognize the importance of reducing carbon emissions at the source and the need for a comprehensive approach to tackling climate change.“双碳”概念在中国尤其流行,因为该国正在加快实现2060年碳中和的目标。

Boundary S-matrix of the $O(N)$-symmetric Non-linear Sigma Model

Boundary S-matrix of the $O(N)$-symmetric Non-linear Sigma Model
Rutgers University P.O.Box 849, Piscataway, NJ 08855-0849
Abstract We conjecture that the O(N )-symmetric non-linear sigma model in the semi-infinite (1 + 1)-dimensional space is “integrable” with respect to the “free” and the “fixed” boundary conditions. We then derive, for both cases, the boundary S-matrix for the reflection of massive particles of this model off the boundary at x = 0.
An integrable “bulk” field theory enjoys the property that its multi-particle S-matrix amplitude factorizes into a product of an appropriate number of two-particle S-matrix amplitudes. The latter satisfy several constraints, namely, Yang-Baxter equation, unitarity
1 E-mail: GHOSHAL@
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and crossing symmetry [6]. These constraints enable one to compute the exact S-matrix up to the so-called “CDD”-factors. It has been known for quite some time how to generalise this factorizable structure of the S-matrix in the presence of a reflecting boundary [1]. In addition to the “bulk” two-particle S-matrices one needs to introduce specific “boundary reflection amplitudes” describing reflections of various particles in the theory when they fall on the boundary. The latter have to satisfy appropriate generalisations of the constraints of the bulk theory − the “boundary Yang-Baxter equation”, the “boundary unitarity condition” and the “boundary cross-unitarity condition”. The last of these was introduced in [5]. Thus, one can in a way similar to the bulk case, pin down the factorizable boundary S-matrix, again, up to the “CDD”-factors.

线性系统理论-中英文对照

线性系统理论-中英文对照

[Linear system theory and design] Absolutely integrable 绝对可积Adder 加法器Additivity 可加性Adjoint 伴随Aeronautical航空的Arbitrary 任意的Asymptotic stability渐近稳定Asymptotic tracking 渐近跟踪Balanced realization 平衡实现Basis 基BIBO stability 有界输入有界输出稳定Black box 黑箱Blocking zero 阻塞零点Canonical decomposition 规分解Canonical规Capacitor 电容Causality 因果性Cayley-Hamilton theorem 凯莱-哈密顿定理Characteristic polynominal 特征多项式Circumflex 卷积Coefficient 系数Cofactor 余因子Column degree 列次数Column-degree-coefficient matrix 列次数系数矩阵Column echelon form 列梯形Column indices 列指数集Column reduced 列既约Common Divisor公共因式Companion-form matrix 规型矩阵Compensator 调节器,补偿器Compensator equation补偿器方程Control configuration 控制构型Controllability 能控性Convolution 卷积Conventional常规的Coprimeness互质Corollary推论Cyclic matrix 循环矩阵Dead beat design 有限拍设计Decoupling 解耦Degree of rational function有理矩阵的次数Description of system系统描述Derivative 导数Determinant 行列式Diagonal对角型Discretization 离散化Disturbance rejectionDivisor 因式Diverge分叉Duality 对偶Eigenvalue特征值Eigenvextor 特征向量Empirical 经验Equivalence 等价Equivalence transformation等价变换Exhaustive 详细的Exponential function 指数函数Extensively广泛地Filter 滤波Finite time有限时间Finite 有限的Fraction 分式Polynomial fraction 多项式分式Fundamental cutest 基本割集Fundamental loop 基本回路Fundamental matrix 基本解阵Gramian 格拉姆Geometric几何的Hankel matrix Hankel 矩阵Hankel singular valueHomogeneity奇次性Hurwitz polynomial Hurwitz 多项式Implementable transfer function 可实现的传递函数Impulse response 脉冲响应Impulse response matrix 脉冲响应矩阵Impulse response sequence 脉冲响应序列Index指数Inductance 自感系数Inductor 电感Integrator 积分器Internal model principle 模原理Intuitively 直观的Inverse 逆Jacobian 雅可比Jordan block约当块Jordan form matrix 约当型矩阵Lapalace expansion 拉普拉斯展开Lapalace transform 拉普拉斯变换Left multiple 左倍式Linear algebraic equation线性代数方程Linear space 线性空间Linearity 线性性Linearization 线性化Linearly dependent 线性相关Linearly independent 线性无关Lumpedness 集中(参数)性Lyapunov equation Lyapunov方程Lyapunov theorem Lyapunov定理Lyapunov transform Lyapunov变换Markov parameter 马尔科夫参数Magnitude 模Manuscript 手稿,原稿Marginal stability 稳定Matrix 矩阵Minimal polynomial 最小多项式Minimal realization 最小实现Minimum energy control 最小能量控制Minor 子行列式Model matching 模型匹配Model reduction 模型降维Monic 首1的Monic polynomial首1的多项式Multiple 倍式Multiplier 乘法器Nilpotent matrix 幂为零的矩阵Nominal equation 标称(名义)方程Norm 数Nonsingular非奇异Null space 零空间Nullity 零度(零空间的维数)Observability 能观性Observer 观测器Op-amp circuit 运算发大器Orthogonal 正交的Orthogonal matrix正交矩阵Orthogonality of vectors 向量的正交性Orthonormal set 规正交集Orthonormalization 规正交化Oscillator振荡器Parenthesis圆括号Parameterization 参数化Pendulum钟摆Periodic 周期的Periodic state system 周期状态系统Pertinent 相关的Plant被控对象Pole 极点Pole placement 极点配置Pole-zero cancellation 零极点对消Pole-zero excess inequalityPolynomial多项式Polynomial matrix 多项式矩阵Column degree 列次数Column degree 列次数Column-degree-coefficient matrix 列次数系数矩阵Column echelon form 列梯形Column indices 列指数集Column reduced 列既约Echelon formLeft divisor 左因式Left multiple 左倍式Right divisor 右因式Right multiple 右倍式Row degree 行次数Row-degree-coefficient matrix 行次数系数矩阵Row reduced行既约Unimodular 幺模Positive正的Positive definite matrix正定矩阵Positive semidefinite matrix正定矩阵Power series 幂级数Primary dependent column 主相关列Primary dependent column 主相关行Prime素数的Principal minor 主子行列式Pseudoinverse 伪逆Pseudostate 伪状态QR decomposition QR 分解Quadratic二次的Quadratic form二次型Range space 值域空间Rank秩Rational function 有理函数Biproper双真Improper 不真Proper 真Strictly proper 严格真Rational matrix 有理矩阵Biproper双真Improper 不真Proper 真Strictly proper 严格真Reachability 可达性Realization 状态空间可实现性Balanced 平衡的(实现)Companion form 规型(实现)Controllable form能控型(实现)Input-normal 输入规(实现)Minimal 最小(实现)Observable-form能控型(实现)Output-normal 输出规(实现)Time-varying 时变(实现)Reduced 既约的Regulator problem 调节器问题Relaxedness 松弛Response 响应Impulse 脉冲Zero-input 零输入Zero-state 零状态Remainder 余数Resistor 电阻Resultant 结式Generalized Resultant 广义结式Sylvester Resultant Sylvester(西尔维斯特)结式Right divisor右因子Robust design 鲁棒设计Robust tracking 鲁棒跟踪Row indices 行指数集Saturate 使饱和Scalar 标量Schmidt orthonormalizationSemidefinite 半正定的Similar matrices 相似矩阵Separation property 分离原理Servomechanism 司服机制Similar transformation 相似变换Singular value 奇异值Singular value decomposition奇异值分解Spectrum 谱Stability 稳定Asymptotic stability 渐近稳定BIBO stability 有界输入有界输出稳定Stability in the sense of Lyapunov 雅普诺夫意义下的稳定Marginal stability 临界稳定Total stability 整体稳定Stabilization镇定(稳定化)State 状态State variable 状态变量State equation 状态方程Discrete-time State equation 离散时间状态方程Discretization State equation 离散化状态方程Equivalent State equation 等价状态方程Periodic State equation 周期状态方程Reduction State equation 状态方程Solution of State equation 状态方程的解Time-varying State equation 时变状态方程State estimator 状态估计器Asymptotic State estimator 渐近状态估计器Closed-loop State estimator 闭环状态估计器Full-dimentional State estimator 全维状态估计器Open-loop State estimator 开环状态估计器Reduced-dimentional State estimator 降维状态估计器State feedback 状态反馈State-space equation 状态空间模型State transition matrix 状态转移矩阵Superposition property 叠加性Sylvester resultant (西尔维斯特)结式Sylvester’s inequality (西尔维斯特)不等式System 系统Superposition叠加Terminology 术语Total stability 整体稳定Trace of matrix 矩阵的迹Tracking 跟踪Transfer function 传递函数Discrete Transfer function离散传递函数Pole of Transfer function传递函数的极点Zero of Transfer function传递函数的零点Transfer matrix 传递函数矩阵Blocking zero of matrix 传递函数矩阵的阻塞零点Pole of Transfer function传递函数矩阵的极点Transmission Zero of Transfer function传递函数矩阵的传输零点Transistor 晶体管Transmission zero 传输零点Tree 树Truncation operator 截断算子Trajectory 轨迹Transpose 转置Triangular 三角形的Unimodular matrix 么模阵Unit-time-delay element 单位时间延迟单元Unity-feedback 单位反馈Vandermonde matrix Vandermonde矩阵Vector 向量well posed 适定的well-posedness 适定性Yield 等于,得出Zero 零点Blocking zero 阻塞零点Minimum-phase zero 最小相位零点nonminimum-phase zero 非最小相位零点transmission zero 传输零点zero-input response 零输入响应zero-pole-gain form 零极点增益形式zero-state equivalence零状态等价zero-state response零状态响应z-transform z-变换。

化工专业英语例句摘录(3)-电极材料

化工专业英语例句摘录(3)-电极材料

化工专业英语例句摘录(3)-电极材料原文:Benzidine i s a sort of raw material that is cheaply affordable and commerciallyavailable, the biphenyl structure of which can be carbonized at lower temperatures.翻译:联苯胺是一种价格便宜且可商购的原料,其联苯结构可在较低温度下碳化。

出处:DOI: 10.1021/acsami.0c03775原文:Due to the strong crosslinking between metal ions and polymer chains, theresulted hybrids have intact carbon-confined structures, leading to the formation of ultra-small active nanoparticles without agglomeration and the strong coupling interaction between the nanoparticles and carbon supports.翻译:由于金属离子与聚合物链之间的强交联作用,所得的杂化物具有完整的碳限制结构,从而产生了无团聚的超小活性纳米颗粒以及纳米颗粒与碳载体之间的强耦合作用。

出处:DOI: 10.1016/j.nanoen.2019.104222原文:One effective strategy is reducing the size of the particles to the nanoscale,which could shorten the diffusion length for Li ions, leading to high-rate capability, and mitigate the absolute strain during lithiation/delithiation, retarding the fracturing, and pulverization from significant volume changes.翻译:一种有效的策略是将颗粒尺寸减小到纳米级,这可以缩短锂离子的扩散距离,从而实现高倍率性能,并减轻锂化/脱锂过程中的绝对应变,阻止粉化和明显的体积变化。

Peskin1

Peskin1

Acta Numerica(2002),pp.479–517c Cambridge University Press,2002 DOI:10.1017/S0962492902000077Printed in the United Kingdom The immersed boundary methodCharles S.PeskinCourant Institute of Mathematical Sciences,New York University,251Mercer Street,New York,NY10012-1185,USAE-mail:peskin@To Dora and VolodyaThis paper is concerned with the mathematical structure of the immersed boundary(IB)method,which is intended for the computer simulation of fluid–structure interaction,especially in biologicalfluid dynamics.The IB formulation of such problems,derived here from the principle of least ac-tion,involves both Eulerian and Lagrangian variables,linked by the Dirac delta function.Spatial discretization of the IB equations is based on afixed Cartesian mesh for the Eulerian variables,and a moving curvilinear mesh for the Lagrangian variables.The two types of variables are linked by interaction equations that involve a smoothed approximation to the Dirac delta function. Eulerian/Lagrangian identities govern the transfer of data from one mesh to the other.Temporal discretization is by a second-order Runge–Kutta method. Current and future research directions are pointed out,and applications of the IB method are briefly discussed.CONTENTS1Introduction4802Equations of motion4803Fluid–structure interaction4894Spatial discretization4915Eulerian/Lagrangian identities4946Construction ofδh4987Temporal discretization5058Research directions5089Applications51010Conclusions512Acknowledgement513References513480 C.S.Peskin1.IntroductionThe immersed boundary (IB)method was introduced to study flow patterns around heart valves and has evolved into a generally useful method for prob-lems of fluid–structure interaction.The IB method is both a mathematical formulation and a numerical scheme.The mathematical formulation em-ploys a mixture of Eulerian and Lagrangian variables.These are related by interaction equations in which the Dirac delta function plays a prominent role.In the numerical scheme motivated by the IB formulation,the Eu-lerian variables are defined on a fixed Cartesian mesh,and the Lagrangian variables are defined on a curvilinear mesh that moves freely through the fixed Cartesian mesh without being constrained to adapt to it in any way at all.The interaction equations of the numerical scheme involve a smoothed approximation to the Dirac delta function,constructed according to certain principles that we shall discuss.This paper is concerned primarily with the mathematical structure of the IB method.This includes both the IB form of the the equations of motion and also the IB numerical scheme.Details of implementation are omitted,and applications are discussed only in summary fashion,although references to these topics are provided for the interested reader.2.Equations of motionOur purpose in this section is to derive the IB formulation of the equations of motion of an incompressible elastic material.The approach that we take is similar to that of Ebin and Saxton (1986,1987).The starting point of this derivation is the principle of least action.Although we begin in Lagrangian variables,the key step is to introduce Eulerian variables along the way,and to do so in a manner that brings in the Dirac delta function.Roughly speaking,our goal here is to make the equations of elasticity look as much as possible like the equations of fluid dynamics.Once we have done that,fluid–structure interaction will be easier to handle.Consider,then,an elastic incompressible material filling three-dimensional space.Let (q,r,s )be curvilinear coordinates attached to the material,so that fixed values of (q,r,s )label a material point.Let X (q,r,s,t )be the position at time t in Cartesian coordinates of the material point whose label is (q,r,s ).Let M (q,r,s )be the mass density of the material in the sense that Q M (q,r,s )d q d r d s is the mass of the part of the material defined by (q,r,s )∈Q .Note that M is independent of time,since mass is conserved.Note that X (,,,t )describes the configuration in space of the whole ma-terial at the particular time t .We assume that this determines the elastic (potential)energy of the material according to an energy functional E [X ]such that E [X (,,,t )]is the elastic energy stored in the material at time t .The immersed boundary method 481A prominent role in the following will be played by the Fr´e chet derivative of E ,which is implicitly defined as follows.Consider a perturbation ℘X (,,,t )of the configuration X (,,,t ).(We denote perturbations by the symbol ℘instead of the traditional calculus-of-variations symbol δ.That is because we need δfor the Dirac delta function that will soon make its appearance.)Up to terms of first order,the resulting perturbation in elastic energy will be a linear functional of the perturbation in configuration of the material.Such a functional can always be put in the form ℘E [X (,,,t )]=(−F (q,r,s,t ))·℘X (q,r,s,t )d q d r d s(2.1)The function −F (,,,t )which appears in this equation is the Fr´e chet deriv-ative of E evaluated at the configuration X (,,,t ).The physical interpret-ation of the foregoing is that F is the force density (with respect to q,r,s )generated by the elasticity of the material.This is essentially the principle of virtual work.As shorthand for (2.1)we shall writeF =−℘E℘X.(2.2)We digress here to give an example of an elastic energy functional E and the elastic force F that it generates.Consider a system of elastic fibres,with the fibre direction τvarying smoothly as a function of position.Let q,r,s be material (Lagrangian)curvilinear coordinates chosen in such a manner that q,r =constant along each fibre.We assume that the elastic energy is of the form E = E∂X ∂sd q d r d s.(2.3)The meaning of this is that the elastic energy depends only on the strain inthe fibre direction,and not at all on the cross-fibre strain.In other words,we have an extreme case of an anisotropic material.Also,since there is no restriction on |∂X /∂s |,which determines the local fibre strain,and since the local energy density E is an arbitrary function of this quantity,we are dealing here with a case of nonlinear elasticity.To evaluate F ,we apply the perturbation operator ℘to E and then use integration by parts with respect to s to put the result in the following form:℘E =−∂∂s E ∂X ∂s ∂X /∂s |∂X /∂s | ·℘X d q d r d s,(2.4)where E is the derivative of E .By definition,then,F =∂∂s E ∂X ∂s ∂X /∂s |∂X /∂s |.(2.5)482 C.S.PeskinLetT =E∂X ∂s =fibre tension ,(2.6)andτ=∂X /∂s|∂X /∂s |=unit tangent to the fibres .(2.7)ThenF =∂∂s(T τ).(2.8)This formula can also be derived without reference to the elastic energy,by starting from the assumption that ±T τd q d r is the force transmitted by the bundle of fibres d q d r ,and by considering force balance on an arbitrary segment of such a bundle given by s ∈(s 1,s 2).Expanding the derivative in (2.8),we reach the important conclusion that the elastic force density generated by a system of elastic fibres is locally parallel to the osculating plane of the fibres,that is,the plane spanned by τand ∂τ/∂s .There is no elastic force density in the binormal direction.Returning to our main task,we consider the constraint of incompressibil-ity.LetJ (q,r,s,t )=det ∂X ∂q ,∂X ∂r ,∂X∂s .(2.9)The volume occupied at time t by the part of the material defined by (q,r,s )∈Q is given by Q J (q,r,s,t )d q d r d s .Since the material is incom-pressible,this should be independent of time for every choice of Q ,which is only possible if∂J∂t=0.(2.10)From now on,we shall write J (q,r,s )instead of J (q,r,s,t ).The principle of least action states that our system will evolve over the time interval (0,T )in such a manner as to minimize the action S defined byS = T 0L (t )d t,(2.11)where L is the Lagrangian (defined below).The minimization is to be donesubject to the constraint of incompressibility (equation (2.10),above),and also subject to given initial and final configurations:X (q,r,s,0)=X 0(q,r,s ),(2.12)X (q,r,s,T )=X T (q,r,s ).(2.13)In general,the Lagrangian L is the difference between the kinetic andThe immersed boundary method 483potential energies.In our case,this readsL (t )=12M (q,r,s ) ∂X ∂t(q,r,s,t ) 2d q d r d s −E [X (,,,t )].(2.14)Thus,for arbitrary ℘X consistent with the constraints,we require0=−℘S =T 0M ∂2X∂t 2−F ·℘X d q d r d s d t.(2.15)To arrive at this result,we have used integration by parts with respect to tin the first term.In the second term we have made use of the definition of −F as the Fr´e chet derivative of the elastic energy E .At this point,if ℘X were arbitrary we would be done,and the con-clusion would be nothing more than Newton’s law that force equals mass times acceleration.But ℘X is not arbitrary:it must be consistent with the constraints,in particular with the constraint of incompressibility (equa-tions (2.9)–(2.10)).This constraint seems difficult to deal with in its present form.Perhaps we can overcome this difficulty by introducing Eulerian variables.As is well known,the constraint of incompressibility takes on a very simple form in terms of the Eulerian velocity field u (x ,t ),namely ∇·u =0.The following definitions of Eulerian variables are mostly standard.The new feature,however,is to introduce a pseudo-velocity v that corresponds to the perturbation ℘X in the same way as the physical velocity field u corresponds to the rate of change of the material’s configuration ∂X /∂t .More precisely,let u and v be implicitly defined as follows:u (X (q,r,s,t ),t )=∂X∂t(q,r,s,t ),(2.16)v (X (q,r,s,t ),t )=℘X (q,r,s,t ).(2.17)Thus u (x ,t )is the velocity of whatever material point happens to be at po-sition x at time t ,and v (x ,t )is the perturbation experienced by whatever material point happens to be at position x at time t (according to the unper-turbed motion).We shall also make use of the familiar material derivative defined as follows:D u Dt =∂u∂t+u ·∇u ,(2.18)for which we have the identityD u Dt (X (q,r,s,t ),t )=∂2X∂t 2(q,r,s,t ).(2.19)Thus D uDt (x ,t )is the acceleration of whatever material point happens to be at position x at time t .484 C.S.PeskinIn the following,we shall need the form taken by the constraints in the new variables.There is no difficulty about the initial and final value constraints,(2.12)–(2.13).Since the perturbation must vanish at the initial and final times to be consistent with these constraints,we simply have v (x ,0)=v (x ,T )=0.The incompressibility constraint requires further discussion,however.The perturbations that we consider are required to be volume-preserving (for every piece of the material,not just for the material as a whole).This means that,if X +℘X is substituted for X in the formula for J ,equation (2.9),then the value of J (q,r,s )should be unchanged,at any particular q,r,s ,up to terms of first order in ℘X .To see what this implies about v ,it is helpful to use matrix notation.Thus,leta =(q,r,s ),(2.20)and let ∂X /∂a be the 3×3matrix whose entries are the components of Xdifferentiated with respect to q ,r ,or s .In this notationJ =det ∂X∂a .(2.21)Now,we need to apply the perturbation operator ℘to both sides of this equation,but to do so we need the following identity involving the perturb-ation of the determinant of an arbitrary nonsingular square matrix A :℘log (det(A ))=trace (℘A )A −1.(2.22)Although this identity is well known,we give a brief derivation of it forcompleteness.The starting point is the familiar formula for the inverse of a matrix in terms of determinants,written in the following possibly unfamiliar way:A −1 ji =1det(A)∂det(A )∂A ij ,(2.23)where we have written the signed cofactor of A ij as ∂det(A )/∂A ij .That we may do so follows from the expansion of the determinant by minors of row i (or column j ).Making use of this formula (in the next-to-last step,below),we find℘log (det(A ))= ij(℘A )ij∂log (det(A ))∂A ij= ij (℘A )ij1det(A )∂det(A )∂A ij=ij (℘A )ij (A −1)ji =trace(℘A )A−1.(2.24)The immersed boundary method 485This establishes the identity in (2.22).Now consider the equation that implicitly defines v ,(2.17).Differentiating on both sides with respect to q ,r ,or s and using the chain rule,we get (in matrix notation)∂℘X ∂a =∂v ∂x ∂X ∂a.(2.25)Now interchange the order of the operators ℘and ∂/∂a ,and then multiplyboth sides of this equation on the right by the inverse of ∂X /∂a .The result is℘∂X ∂a ∂X ∂a −1=∂v ∂x .(2.26)Taking the trace of both sides,and making use of the identity derived above(equation (2.22))as well as the definition of J (equation (2.21)),we see that℘log (J (q,r,s ))=∇·v (X (q,r,s,t ),t ).(2.27)Thus,the constraint of incompressibility (℘J =0)is equivalent to∇·v =0.(2.28)An argument that is essentially identical to the foregoing yields the famil-iar expression of the incompressibility constraint in terms of the Eulerian velocity field:∇·u =0.(2.29)This completes the discussion of the Eulerian form of the constraint of in-compressibility.We are now ready to introduce Eulerian variables into our formula for the variation of the action ℘S .We do so by using the defining property of the Dirac delta function,that one can evaluate a function at a point by multiplying it by an appropriately shifted delta function and integrating over all of space.We use this twice,once for the perturbation in configuration of the elastic body,and once for the dot product of that perturbation with the acceleration of the elastic body:℘X (q,r,s,t )=v (x ,t )δ(x −X (q,r,s,t ))d x ,(2.30)∂2X ∂t 2(q,r,s,t )·℘X (q,r,s,t )=D uDt ·v (x ,t )δ(x −X (q,r,s,t ))d x .(2.31)In these equations (and throughout this paper),δ(x )denotes the three-dim-ensional delta function δ(x 1)δ(x 2)δ(x 3),where x 1,x 2,x 3are the Cartesian components of the vector x .486 C.S.PeskinSubstituting (2.30)–(2.31)into (2.15),we get0= T 0M (q,r,s )D uDt (x ,t )−F (q,r,s,t ) ·v (x ,t )δ(x −X (q,r,s,t ))d x d q d r d s d t.(2.32)Note that this expression contains a mixture of Lagrangian and Eulerian variables.The Lagrangian variables that remain in it are the mass density M (q,r,s )and the elastic force density F (q,r,s,t ).We can eliminate these (and get rid of the integral over q,r,s )by making the following definitions:ρ(x ,t )=M (q,r,s )δ(x −X (q,r,s,t ))d q d r d s,(2.33)f (x ,t )=F (q,r,s,t )δ(x −X (q,r,s,t ))d q d r d s.(2.34)To see the meaning of the Eulerian variables ρ(x ,t )and f (x ,t )defined bythese two equations,integrate both sides of each equation over an arbitrary region Ω.Since Ωδ(x −X (q,r,s,t ))d x is equal to 1or 0depending on whether or not X (q,r,s,t )∈Ω,the results areΩρ(x ,t )d x = X (q,r,s,t )∈ΩM (q,r,s )d q d r d s,(2.35) Ωf (x ,t )d x = X (q,r,s,t )∈ΩF (q,r,s,t )d q d r d s.(2.36)These equations show that ρis the Eulerian mass density and that f is theEulerian density of the elastic force.Making use of the definitions of ρand f ,we see that (2.32)can be rewritten0=−℘S = T 0ρ(x ,t )D u Dt (x ,t )−f (x ,t ) ·v (x ,t )d x d t.(2.37)This completes the transition from Lagrangian to Eulerian variables.Equation (2.37)holds for arbitrary v (x ,t )subject to the constraints.As shown above,the constraints on v (x ,t )are that v (x ,0)=v (x ,T )=0and that ∇·v =0.Otherwise,v is arbitrary.We now appeal to the Hodge decomposition:an arbitrary vector field may be written as the sum of a gradient and a divergence-free vector field.In particular,it is always possible to writeρD uDt−f =−∇p +w ,(2.38)where∇·w =0.(2.39)The immersed boundary method 487We shall show that w =0.To do so,we make use of the freedom in the choice of v by settingv (x ,t )=φ(t )w (x ,t ).(2.40)Clearly,this satisfies all of the constraints on v provided that φ(0)=φ(T )=0.This leaves a lot of freedom in the choice of φ,and we use this freedom to make φ(t )>0for all t ∈(0,T ).With these choices,(2.37)becomes0= T 0φ(t ) (−∇p (x ,t )+w (x ,t ))·w (x ,t )d x d t.(2.41)Now the term involving ∇p drops out,as can easily be shown using integ-ration by parts,since ∇·w =0.This leaves us with0= T 0φ(t ) |w (x ,t )|2d x d t.(2.42)Recalling that φis positive on (0,T ),we conclude that w =0,as claimed.In conclusion,we have the IB form of the equations of motion of an incom-pressible elastic material.We shall collect these equations here,taking the liberty of adding a viscous term which was omitted in the derivation (since the principle of least action applies to conservative systems)but which is important in applications.We assume a uniform viscosity of the kind that appears in a Newtonian fluid,although this could of course be generalized.Thus,the viscous term that we add is of the form µ∆u ,where µis the (dy-namic)viscosity,and ∆is the Laplace operator (which is applied separately to each Cartesian component of the velocity field u ).The equations of motion with the viscous term thrown in but otherwise as derived above read as follows:ρ ∂u ∂t+u ·∇u +∇p =µ∆u +f ,(2.43)∇·u =0,(2.44)ρ(x ,t )=M (q,r,s )δ(x −X (q,r,s,t ))d q d r d s,(2.45)f (x ,t )=F (q,r,s,t )δ(x −X (q,r,s,t ))d q d r d s,(2.46)∂X∂t (q,r,s,t )=u (X (q,r,s,t ),t )=u (x ,t )δ(x −X (q,r,s,t ))d x ,(2.47)F =−℘E℘X.(2.48)488 C.S.PeskinIn these equations,M(q,r,s)is a given function,the Lagrangian mass dens-ity of the material,and E[X]is a given functional,the elastic potential energy of the material in configuration X.The notation℘E/℘X is short-hand for the Fr´e chet derivative of E.Note that(2.43)–(2.44)are completely in Eulerian form.In fact,they are the equations of a viscous incompressiblefluid of non-uniform mass density ρ(x,t)subject to an applied body force(i.e.,a force per unit volume)f(x,t). Equation(2.48)is completely in Lagrangian form.It expresses the elasticity of the material.Equations(2.45)–(2.47)are interaction equations.They convert from Lagrangian to Eulerian variables(equations(2.45)–(2.46))and vice versa (equation(2.47)).Thefirst line of(2.47)is just the definition of the Eu-lerian velocityfield,and the second line uses nothing more than the defining property of the Dirac delta function.All of the interaction equations involve integral operators with the same kernelδ(x−X(q,r,s,t))but there is this subtle difference between(2.45)–(2.46)and(2.47).The interaction equa-tions that defineρand f are relationships between corresponding densities: the numerical values ofρand M are not the same at corresponding points, and similarly the numerical values of f and F are not the same at corres-ponding points.But the numerical value of∂X/∂t and u(x,t)are the same at corresponding points,as stated explicitly on thefirst line of(2.47).This difference comes about because of the mapping(q,r,s)→X(q,r,s,t),which appears within the argument of the Dirac delta function.This complicates the integrals over q,r,s in(2.45)–(2.46);there is no such complication in the integral over x in(2.47).The distinction that we have just described is especially important in a special case that we shall discuss later,in which the elastic material is confined to a surface immersed in a three-dimensional fluid.Thenρand f become singular,while∂X/∂t remainsfinite.A feature of the foregoing equations of motion that the reader mayfind puzzling is that they do not include the equation∂ρ∂t+u·∇ρ=0,(2.49)which asserts that the mass density at any given material point is independ-ent of time,i.e.,that Dρ/Dt=0.In fact(2.49)is a consequence of(2.44), (2.45)and(2.47),as we now show.Applying∂/∂t to both sides of(2.45),we get∂ρ∂t =−M(q,r,s)∂X∂t(q,r,s,t)·∇δ(x−X(q,r,s,t))d q d r d s=−M(q,r,s)u(X(q,r,s,t),t)·∇δ(x−X(q,r,s,t))d q d r d s.(2.50)The immersed boundary method 489On the other hand,u ·∇ρ(x ,t )=M (q,r,s )u (x ,t )·∇δ(x −X (q,r,s,t ))d q d r d s.(2.51)To complete the proof,we need the equationu (x )·∇δ(x −X )=u (X )·∇δ(x −X ).(2.52)This is actually not true in general,but it is true when ∇·u =0.In that case we have,for any suitable test function φ,∇·(u φ)=u ·∇φ,(2.53)∇·(u φ)(X )=u (X )·∇φ(X ),(2.54) ∇·(u φ)(x )δ(x −X )d x =u (X )·∇φ(x )δ(x −X )d x ,(2.55)− φ(x )u (x )·∇δ(x −X )d x =−u (X )·φ(x )∇δ(x −X )d x .(2.56)Since φis arbitrary,this implies (2.52).Then,with the help of (2.52),it is easy to combine (2.50)–(2.51)to yield (2.49).3.Fluid–structure interactionIn the previous section,we envisioned a viscoelastic incompressible material filling all of space.Let us now consider the situation in which only part of space is filled by the viscoelastic material and the rest by a viscous in-compressible fluid.(As before,we assume that the viscosity µis constant everywhere.)This actually requires no change at all in the equations of motion as we have formulated them.The only change is in the elastic en-ergy functional E [X (,,,t )],which now includes no contribution from those points (q,r,s )that are in the fluid regions.As a result of this,the Lagrangian elastic force density F =−℘E/℘X is zero at such fluid points (q,r,s ),and the Eulerian elastic force density f (x ,t )is zero at all space points x that happen to lie in fluid regions at time t .Note that the Lagrangian coordinates (q,r,s )are still used in the fluid regions,since they carry the mass density M (q,r,s ),from which ρ(x ,t )is computed.This formulation allows for the possibility of a stratified fluid,in which ρ(x ,t )is non-uniform,even in the fluid regions.If,on the other hand,the fluid has a uniform mass density ρ0,then we can dispense with the Lagrangian variables in the fluid regions and let the Lagrangian coordinates (q,r,s )correspond to elastic material points only.In that case,in the spirit of Archimedes,we replace the Lagrangian mass490 C.S.Peskindensity M (q,r,s )by the excess Lagrangian mass density ˜M(q,r,s )such that ρ(x ,t )=ρ0+˜M (q,r,s )δ(x −X (q,r,s,t ))d q d r d s.(3.1)Note that ˜Mmay be negative;that would represent elastic material that is less dense than the ambient fluid.The integral of ˜Mover any part of the elastic material is the difference between the mass of that elastic material and the mass of the fluid displaced by it.Now we come to the important special case that gives the immersed bound-ary method its name.Suppose that all or part of the elastic material is confined to certain surfaces that are immersed in fluid.Examples include heart valve leaflets,parachute canopies,thin airfoils (including bird,insect,or bat wings),sails,kites,flags,and weather vanes.For any such surface,only two Lagrangian parameters,say (r,s )are needed.Then the interaction equations becomeρ(x ,t )=ρ0+M (r,s )δ(x −X (r,s,t ))d r d s,(3.2)f (x ,t )=F (r,s,t )δ(x −X (r,s,t ))d r d s,(3.3)∂X∂t=u (X (r,s,t ),t )=u (x ,t )δ(x −X (r,s,t ))d x .(3.4)Note that there is no distinction here between M (r,s )and ˜M(r,s ),since the volume displaced by an elastic material surface is zero,by definition,so the excess mass of the immersed boundary is simply its mass.In (3.2)and (3.3),the delta function δ(x )=δ(x 1)δ(x 2)δ(x 3)is still three-dimensional,but there are only two integrals d r d s .As a result of this discrepancy,ρ(x ,t )and f (x ,t )are each singular like a one-dimensional delta function,the singularity being supported on the immersed elastic boundary.Although ρ(x ,t )and f (x ,t )are infinite on the immersed boundary,their integrals over any finite volume are finite.Specifically,the integral of ρ(x ,t )over such a volume is the sum of the mass of the fluid contained within that volume and the mass of that part of the elastic boundary that is contained within that volume.Similarly,the integral of f (x ,t )over such a volume is the total force applied to the fluid by the part of the immersed boundary contained within the volume in question.Unlike (3.2)and (3.3),the integral in (3.4)is three-dimensional and gives a finite result,the velocity of the immersed elastic boundary.Here again we see an important distinction between the interaction equations that convert from Lagrangian to Eulerian variables and the interaction equation that converts in the other direction.An important remark is that the equations of motion that we have just derived for a viscous incompressible fluid containing an immersed elasticThe immersed boundary method491 boundary are mathematically equivalent to the conventional equations that one would write down involving the jump in thefluid stress across that boundary.This can be shown by integrating the Navier–Stokes equation across the boundary and noting the contribution from the delta function layers given by(3.2)and(3.3).For proofs of this kind,albeit in the case of a massless boundary,see Peskin and Printz(1993)and Lai and Li(2001). In summary,the equations of motion derived in the previous section are easily adapted to problems offluid–structure interaction,including problems involving stratifiedfluids(with or without structures)and also problems involving immersed elastic boundaries as well as immersed elastic solids.4.Spatial discretizationThis section begins the description of the numerical IB method.We shall present this method in the context of the equations of motion of an in-compressible viscoelastic material,as derived above:see(2.43)–(2.48).The modifications of these equations needed forfluid–structure interaction have been described in the previous section and require corresponding minor changes in the numerical IB method.These will not be written out,since they are straightforward.The plan that we shall follow in presenting the numerical IB method is to discuss spatial discretizationfirst.Then(in the next section)we shall derive some identities satisfied by the spatially discretized scheme.Some of these motivate requirements that should be imposed on the approximate form of the Dirac delta function that is used in the interaction equations. The construction of that approximate delta function is discussed next,and finally we consider the temporal discretization of the scheme.The spatial discretization that we shall describe employs two independent grids,one for the Eulerian and the other for the Lagrangian variables.The Eulerian grid,denoted g h,is the set of points of the form x=j h,where j= (j1,j2,j3)is a3-vector with integer components.Similarly,the Lagrangian grid,denoted G h is the set of(q,r,s)of the form(k q∆q,k r∆r,k s∆s),where (k q,k r,k s)=k has integer components.To avoid leaks,we impose therestriction that|X(q+∆q,r,s,t)−X(q,r,s,t)|<h2(4.1)for all(q,r,s,t),and similarly for∆r and∆s.In the continuous formulation,the elastic energy functional E[X]is typ-ically an integral over a local energy density E.Corresponding to this,we have in the discrete caseE h=kE k (···X k···)∆q∆r∆s.(4.2)492 C.S.Peskin Perturbing this,wefind℘E h=kk∂E k∂X k·℘X k∆q∆r∆s,(4.3)where∂/∂X k denotes the gradient with respect to X k.This is of the form℘E h=−kF k·℘X k∆q∆r∆s,(4.4) provided that we setF k=−k ∂E k∂X k.(4.5)Note that this is equivalent toF k∆q∆r∆s=−∂E h∂X k.(4.6)Thus F k is the discrete Lagrangian force density associated with the ma-terial point k=(k q∆q,k r∆r,k s∆s),and F k∆q∆r∆s is the actual force associated with that point.In a similar way,if M k is the given Lagrangian mass density at the point k,then M k∆q∆r∆s is the actual mass associated with that point in the discrete formulation.Let us now consider the spatialfinite difference operators that are used on the Eulerian grid g h.For the most part,these are built from the central difference operators D0h,β,β=1,2,3,defined as follows:D0h,β(x)=φ(x+h eβ)−φ(x−h eβ)2h,(4.7)where e1,e2,e3are the standard basis vectors.We shall also use the notation that D0h is the vector difference operator whose components are D0h,β.Thus, D0hφis the central difference approximation to the gradient ofφ,and D0h·u is the central difference approximation to the divergence of u.For the Laplacian that appears in the viscous terms,however,we do not use D0h·D0h,since this would entail a staggered stencil of total width equal to4meshwidths.Instead,we use the‘tight’Laplacian L h defined as follows:(L hφ)(x)=3β=1φ(x+h eβ)+φ(x−h eβ)−2φ(x)h2.(4.8)Finally,we consider the operator u·∇which appears in the nonlinear terms of the Navier–Stokes equations.Since∇·u=0,we have the identityu·∇φ=∇·(uφ).(4.9)。

学术英语(社科)Unit2二单元原文及翻译

学术英语(社科)Unit2二单元原文及翻译

UNIT 2 Economist1.Every field of study has its own language and its own way of thinking. Mathematicians talk about axioms, integrals, and vector spaces. Psychologists talk about ego, id, and cognitive dissonance. Lawyers talk about venue, torts, and promissory estoppel.每个研究领域都有它自己的语言和思考方式。

数学家谈论定理、积分以及向量空间。

心理学家谈论自我、本能、以及认知的不一致性。

律师谈论犯罪地点、侵权行为以及约定的禁止翻供。

2.Economics is no different. Supply, demand, elasticity, comparative advantage, consumer surplus, deadweight loss—these terms are part of the economist’s language. In the co ming chapters, you will encounter many new terms and some familiar words that economists use in specialized ways. At first, this new language may seem needlessly arcane. But, as you will see, its value lies in its ability to provide you a new and useful way of thinking about the world in which you live.经济学家也一样。

be an Euclidean space, and let

be an Euclidean  space, and let

Another popular discretization scheme for lines, called grid intersection digitization [18,23], does guarantee that the discretization of a straight line δ is a digital curve, in the sense of the digital topology [17]. A proof of this property can be found in [16]. The drawback of this discretization scheme is its lack of symmetry: for any intersection of δ with a pixel boundary, the pixel vertex which is closest to this intersection is chosen as an element of the discretization of δ , and if the intersection is at equal distance between two vertices, then an arbitrary choice is made (for example, the rightmost or upmost vertex). This drawback is shared by other discrete models for straight lines and planes, the Bresenham’s model [7], the naive model [20] and the standard model [1]. On the other hand, the supercover does not suffer from this lack of symmetry. 2

哥达纲领批判的英语

哥达纲领批判的英语

哥达纲领批判的英语The Critique of the Goda Manifesto: Unmasking its Fallacies and InconsistenciesIntroductionThe Goda Manifesto, a controversial document advocating for a radical overhaul of societal structures, has garnered attention and support in certain circles. However, it is crucial to subject this manifesto to critical examination in order to uncover its fallacies and inconsistencies. This article aims to provide an in-depth critique of the Goda Manifesto and address its key arguments and proposed solutions in order to shed light on the limitations and shortcomings of its content.AnalysisOne of the key tenets of the Goda Manifesto is the call for the abolition of private property. According to the manifesto, private property is the root cause of social inequality and injustice. While it is true that wealth disparities exist in our society, the declaration that private property is solely responsible for these disparities is an oversimplification. Private property rights provide incentives for individuals to work, innovate, and invest, driving economic growth and prosperity. The abolition of private property would disregard the fundamental principles of individual liberty and freedom of choice.Moreover, the Goda Manifesto proposes a form of collective ownership characterized by communal sharing. While this may sound utopian in theory, history has shown that such systems often lead to inefficiency, lack of motivation, and a decline in overall productivity. Without the sense of personal ownership and the opportunity for individuals to enjoy the fruits of their labor, there would be little incentive for innovation and progress. The Goda Manifesto fails to address this fundamental flaw in its proposed restructuring of societal structures.Furthermore, the manifesto criticizes the market economy and advocates for a centralized planning system. However, numerous examples from history, such as theSoviet Union and Maoist China, have demonstrated the inefficiencies and failures of centrally planned economies. Market economies, while not perfect, have proven to be more adaptable, efficient, and responsive to the needs of individuals and society. The Goda Manifesto provides no convincing argument for why a centralized planning system would be superior and fails to acknowledge the substantial drawbacks it entails.The Goda Manifesto also proposes the establishment of a universal basic income (UBI) as a solution to poverty and inequality. While the idea of providing a guaranteed income to all citizens is appealing, the practical implementation of UBI raises significant concerns. Who will bear the financial burden of funding such a program and how will it be sustained? Moreover, the potential adverse effects on workforce participation and productivity have not been sufficiently addressed. The Goda Manifesto lacks a comprehensive analysis of the potential consequences and trade-offs associated with UBI.In addition, the manifesto criticizes the current education system and calls for a complete overhaul. While it is true that improvements can be made to our education system, the sweeping reforms advocated by the manifesto are unrealistic and ignore the complexities involved. Quality education requires significant resources, expertise, and careful planning. Simply advocating for free education for all without considering the implications and feasibility undermines the credibility of the Goda Manifesto's proposals.ConclusionThe Goda Manifesto, although it raises important questions about societal structures and economic systems, is plagued by fallacies and inconsistencies. Its blanket condemnation of private property, inadequate analysis of alternative economic systems, and unrealistic proposals for sweeping reforms discredit its overall credibility. While it is important to critically examine existing systems and strive for improvements, the Goda Manifesto falls short in providing a coherent and feasible alternative. It is through robust and evidence-based analysis that we can generate meaningful progress towards a more equitable and just society.。

经合组织风险认识工具OECD Risk Awareness tool

经合组织风险认识工具OECD Risk Awareness tool
OECD Risk Awareness Tool for Multinational Enterprises in Weak
Governance Zones
ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT
ORGANISATION FOR ECONOMIC CO-OPERATION AND DEVELOPMENT

Foreword
The OECD Risk Awareness Tool for Multinational Enterprises in Weak
Governance Zones aims to help companies that invest in countries where governments are unwilling or unable to assume their responsibilities. It addresses risks and ethical dilemmas that companies are likely to face in such weak governance zones, including obeying the law and observing international instruments, heightened care in managing investments, knowing business partners and clients and dealing with public sector officials, and speaking out about wrongdoing.
© OECD 2006
No reproduction, copy, transmission or translation of this publication may be made without written permission. Applications should be sent to OECD Publishing: rights@ or by fax (33 1) 45 24 13 91. Permission to photocopy a portion of this work should be addressed to the Centre français d'exploitation du droit de copie, 20, rue des Grands-Augustins, 75006 Paris, France (contact@).

2020年诚信辩论赛辩题

2020年诚信辩论赛辩题

2020年诚信辩论赛辩题## 英文回答:In the wake of a year marked by both unprecedented challenges and transformative societal shifts, the significance of integrity has taken on a profound new dimension. As we navigate the complexities of the post-pandemic world, it is imperative that we embrace honesty, transparency, and ethical conduct as the cornerstones of our actions.The erosion of trust in institutions and the rampant spread of misinformation have cast a shadow over our collective discourse. It is more important than ever to foster a culture of truth-telling and accountability. By speaking up against falsehoods, holding leaders to account, and demanding transparency in decision-making, we can restore faith in our systems and institutions.Integrity extends beyond the realm of public discourse.It is a personal virtue that shapes our character andguides our interactions with others. In an age where self-promotion and self-interest often dominate, it is essential to prioritize honesty, empathy, and respect. By treating others with dignity and kindness, even when it is difficult, we build stronger relationships and create a more harmonious society.Moreover, integrity is not merely an abstract concept but has tangible consequences for our communities. When businesses operate with integrity, they inspire trust and loyalty from customers and employees alike. When governments act with honesty and transparency, they fostera sense of trust and legitimacy among their citizens. And when individuals live their lives with integrity, they create a ripple effect that benefits society as a whole.In conclusion, integrity is an indispensable virtuethat serves as the foundation for a just and prosperous society. By embracing honesty, transparency, and ethical conduct, we can rebuild trust, strengthen our institutions, and create a more harmonious and equitable world.## 中文回答:2020年,世界经历了前所未有的挑战与深刻的社会变革,诚信的意义也变得更加重大。

2025年的数字鸿沟弥合包容性增长的差距的英语作文

2025年的数字鸿沟弥合包容性增长的差距的英语作文

2025年的数字鸿沟弥合包容性增长的差距的英语作文Title: Bridging the Digital Divide for Inclusive Growth in 2025In the dawn of 2025, the world stands at a pivotal juncture where technology, more than ever, has the potential to redefine our economic landscapes and societal structures. Yet, amidst this digital revolution, a daunting challenge persists: the ever-widening digital divide, threatening to exacerbate inequalities and hinder inclusive growth. Addressing this divide is imperative for fostering a more equitable, prosperous, and interconnected global community.The digital divide, essentially, is the gap between those who have access to and effectively use digital technology, and those who are left behind. This disparity not only restricts access to information, education, and employment opportunities but also stunts economic progress, as entire populations are excluded from the benefits of the digital economy.To bridge this divide and achieve inclusive growth by 2025, several strategic initiatives must be undertaken. Firstly, universal and affordable internet access must become a global priority. Governments, private sectors, and international organizations must collaborate to roll outinfrastructure, especially in remote and underserved areas, ensuring that no one is left offline.Secondly, digital literacy programs must be scaled up and tailored to diverse needs. Education systems must integrate digital skills training into curricula, empowering individuals with the knowledge and abilities to navigate the digital world confidently. Additionally, targeted interventions for marginalized groups, including women, children, and the elderly, are crucial to ensure no one is left behind in the digital literacy race.Thirdly, promoting digital entrepreneurship and innovation can be a potent force for bridging the divide. By providing funding, mentorship, and market access to startups and small businesses in underrepresented communities, we can unleash their potential to create jobs, drive economic growth, and contribute to a more inclusive digital economy.Moreover, fostering international cooperation is vital. No country can bridge the digital divide alone; sharing best practices, technological advancements, and financial resources across borders can significantly accelerate progress.Lastly, addressing the ethical and security concerns associated with digitalization is imperative. Ensuring data privacy, preventing cybercrime, and promoting ethical use of technology are cornerstones for building trust in the digital ecosystem, which is fundamental for its widespread adoption and the realization of inclusive growth.In conclusion, bridging the digital divide and fostering inclusive growth in 2025 necessitates a concerted global effort. By prioritizing universal internet access, enhancing digital literacy, promoting entrepreneurship, fostering international cooperation, and addressing ethical concerns, we can harness the full potential of digital technology to create a more equitable and prosperous world for all.Translation:标题:2025年弥合数字鸿沟,促进包容性增长在2025年的曙光中,世界正站在一个关键的十字路口,技术比以往任何时候都更有潜力重新定义我们的经济格局和社会结构。

分散主义英语

分散主义英语

分散主义英语Decentralism, also known as decentralization, is a political and socio-economic ideology that advocates the dispersion or distribution of power, authority, and decision-making processes away from a central authority or government. It emphasizes the importance of local control and autonomy, promoting the idea of self-governance and grassroots democracy.In a decentralized system, power and responsibilities are shared among multiple smaller units or local communities rather than concentrated in a single authority. This allows for better representation of diverse interests and needs of different regions or groups within a society. Decentralism aims to empower individuals and local communities, enabling them to have a greater say in matters that directly affect them.One of the key advantages of decentralism is that it helps to foster innovation and creativity. By empoweringlocal communities to make decisions and solve problems on their own, there is greater potential for experimentation and the development of unique solutions that are tailored tolocal contexts. Decentralized systems can encourage entrepreneurship and local economic development by providing opportunities for individuals and communities to take charge of their own affairs.Decentralism also promotes accountability and transparency. When power is distributed among multiple units, it becomes easier to hold decision-makers accountable for their actions. Local communities have a better understanding of their own needs and can closely monitor the actions of their representatives. This helps to prevent corruption and ensure that decisions are made in the best interest of the community.Furthermore, decentralism can foster social cohesion and harmony. By giving individuals and local communities greater control over their own affairs, it encourages active participation in the decision-making process and promotes a sense of ownership and responsibility. This can enhancesocial bonds and cooperation among community members, leading to stronger and more resilient societies.However, it is important to strike a balance between decentralization and the need for coordination and unity at higher levels. While decentralism promotes local autonomy, it should not undermine the overall functioning of a larger system. Cooperation and collaboration between different units are necessary to address issues that require collective action, such as national defense, environmental protection, and economic stability.In conclusion, decentralism promotes the dispersion of power and decision-making, empowering local communities andindividuals. It fosters innovation, accountability, social cohesion, and participation in the decision-making process. However, it should be implemented with care, ensuring that coordination and cooperation are maintained at higher levels to address common challenges and ensure the smooth functioning of the overall system.。

学术英语(社科)8单元A翻译

学术英语(社科)8单元A翻译

UNIT8 Hard Power, Soft Power, Smart Power硬实力,软实力,巧实力People often associate power of a nation with military might or economic strenght.Is these s omething more to the concept of power? The answer is in the affirmative,at least to some who study political science.This unit explores the complex nature of power and how it impacts international relations.人们常把权力一个国家军事实力和经济实力。

这些东西更是对权力的概念吗?答案是肯定的,至少对一些学习政治科学的人来说是肯定的。

本单位探讨了权力的复杂性及其对国际关系的影响。

The complex nature of power权力的复杂性1.“Until human nature change,power and force will remain at the heart of international relatio ns,”according to a top U.S.official.Not everyone will agree with such a gloomy realpolitik assessment,but it underlines the crucial role that power plays in diplomacy.When the goals and interest of states conflict,which side will prevail is often decided by who has the most p ower.一位美国高级官员表示:“直到人类的本质变化,力量和力量将留在国际关系的核心。

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Department of Physics, Graduate School of Science, University of Tokyo, Hongo 7–3–1, Bunkyo-ku, Tokyo 113–0033, Japan Received 29 April 1998, in final form 25 November 1998 Abstract. A system of semi-discrete coupled nonlinear Schr¨ odinger equations is studied. To show the complete integrability of the model with multiple components, we extend the discrete version of the inverse scattering method for the single-component discrete nonlinear Schr¨ odinger equation proposed by Ablowitz and Ladik. By means of the extension, the initial-value problem of the model is solved. Further, the integrals of motion and the soliton solutions are constructed within the framework of the extension of the inverse scattering method.
Integrable semi-discretization of the coupled nonlinear Schr¨ odinger equations [28]
3
∂qn + (qn+1 + qn−1 − 2qn ) − qn rn (qn+1 + qn−1 ) = 0 ∂t (1.4) ∂rn − (rn+1 + rn−1 − 2rn ) + rn qn (rn+1 + rn−1 ) = 0 i ∂t has been studied extensively because of its simplicity and physical significance. They solved (1.4) under the rapidly decreasing boundary conditions, qn , rn → 0 at n → ±∞. The model (1.4) was also solved under other integrable boundary conditions [30, 31, 32]. The sd-NLS equation has attracted researchers to studies on various subjects, such as nonlinear lattices in condensed matter physics [33], phase plane patterns [34], breather solutions [35], B¨ acklund transformations [36], numerical experiments and homoclinic structure [37, 38, 39], the dynamics of a discrete curve [40] and surfaces [41], Hamiltonian structure and the classical r -matrix representation [42, 43, 44] and the quantization of the model [42]. In an analogous way to the continuous theory, it is natural to consider a generalization of the sd-NLS equation (1.4) with multiple components, namely, i i
m ∂qj ∂ 2 qj + −2 qk rk · qj = 0 i ∂t ∂x2 k =1 m ∂rj ∂ 2 rj i − + 2 rk qk · rj = 0 ∂t ∂x2 k =1
j = 1, 2 , . . . , m
(1.2)
is particularly remarkable in describing diverse physical phenomena [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]. Manakov [8] considered the two-component CNLS ∗ equations ((1.2) with m = 2) with rj = −qj (j = 1, 2) as a model for propagation of two polarized electromagnetic waves and applied the ISM to the model for the first time. Interest has recently focused on the two-component CNLS equations in studying explicit solutions [10, 11], the stability of solitary waves [14] and interactions between solitons in birefringent optical fibers [18, 19] from a physical point of view. Very recently, the authors proposed a new extension of the ISM and solved the coupled modified KdV (cmKdV) equations [2ss: tsuchida@monet.phys.s.u-tokyo.ac.jp
Integrable semi-discretization of the coupled nonlinear Schr¨ odinger equations 1. Introduction
2
m (j ) ∂qn (j ) (j ) (j ) (j ) (j ) (k ) (k ) + (qn+1 + qn−1 − 2qn )− qn rn · (qn+1 + qn−1 ) = 0 ∂t k =1
m ∂r (j ) (j ) (j ) (j ) (j ) (j ) (k ) (k ) i n − (rn+1 + rn−1 − 2rn )+ rn qn · (rn+1 + rn−1 ) = 0 ∂t k =1
Integrable semi-discretization of the coupled nonlinear Schr¨ odinger equations
arXiv:solv-int/9903013v1 18 Mar 1999
Takayuki Tsuchida†, Hideaki Ujino and Miki Wadati
M −1
Cjk uj uk
j,k =0
∂ui ∂ 3 ui + =0 ∂x ∂x3
i = 0, 1 , . . . , M − 1
(1.3)
in the self-focusing case, which had been investigated by alternative approaches [21, 22]. By a transformation of variables, this model is cast into a new coupled version of the Hirota equation [23], which describes wave propagation in optical fibers, including higher-order effects. On the other hand, some discrete versions of the ISM have been constructed and applied to some discrete models [24, 25, 26, 27, 28, 29]. Among those models, the semi-discrete nonlinear Schr¨ odinger (sd-NLS) equation found by Ablowitz and Ladik
j = 1, 2, . . . , m.
(1.5)
We call this model the semi-discrete coupled NLS (sd-CNLS) equations. The model is expected to be important in various applications, e.g. numerical simulations of the CNLS equations (1.2). Hisakado [45] showed that the system (1.5) is connected with the two-dimensional Toda lattice. An N -soliton solution was obtained by Ohta [46]. It is noted that another scheme of integrable semi-discretization of the CNLS equations was reported by Merola, Ragnisco and Gui-Zhang [47]. In [48], the authors proposed a new extension of the discrete version of the ISM by Ablowitz and Ladik. Applying the extension, they solved the initial-value problem of the semi-discrete coupled modified KdV (sd-cmKdV) equations, or the coupled modified Volterra equations [45],
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