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A LARGE DEVIATION PRINCIPLE FOR THE STOCHASTIC GENERALIZED GINZBURG-LANDAU EQUATION DRIVEN BY JUMP NOISE
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作者 王冉 张贝贝 《Acta Mathematica Scientia》 SCIE CSCD 2023年第2期505-530,共26页
In this paper,we establish a large deviation principle for the stochastic generalized Ginzburg-Landau equation driven by jump noise.The main difficulties come from the highly non-linear coefficient and the jump noise.... In this paper,we establish a large deviation principle for the stochastic generalized Ginzburg-Landau equation driven by jump noise.The main difficulties come from the highly non-linear coefficient and the jump noise.Here,we adopt a new sufficient condition for the weak convergence criterion of the large deviation principle,which was initially proposed by Matoussi,Sabbagh and Zhang(2021). 展开更多
关键词 large deviation principle weak convergence method stochastic generalized Ginzburg-Landau equation Poisson random measure
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High Order IMEX Stochastic Galerkin Schemes for Linear Transport Equation with Random Inputs and Diffusive Scalings
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作者 Zheng Chen Lin Mu 《Communications on Applied Mathematics and Computation》 EI 2024年第1期325-339,共15页
In this paper,we consider the high order method for solving the linear transport equations under diffusive scaling and with random inputs.To tackle the randomness in the problem,the stochastic Galerkin method of the g... In this paper,we consider the high order method for solving the linear transport equations under diffusive scaling and with random inputs.To tackle the randomness in the problem,the stochastic Galerkin method of the generalized polynomial chaos approach has been employed.Besides,the high order implicit-explicit scheme under the micro-macro decomposition framework and the discontinuous Galerkin method have been employed.We provide several numerical experiments to validate the accuracy and the stochastic asymptotic-preserving property. 展开更多
关键词 stochastic Galerkin scheme linear transport equations generalized polynomial approach stochastic asymptotic-preserving property
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Exponential stability of stochastic generalized porous media equations with jump 被引量:1
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作者 郭柏灵 周国立 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2014年第8期1067-1078,共12页
Stochastic generalized porous media equation with jump is considered. The aim is to show the moment exponential stability and the almost certain exponential stability of the stochastic equation.
关键词 stochastic generalized porous media equation jump process stability
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Asymptotic behavior of 2D generalized stochastic Ginzburg-Landau equation with additive noise 被引量:1
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作者 李栋龙 郭柏灵 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 2009年第8期945-956,共12页
The 2D generalized stochastic Ginzburg-Landau equation with additive noise is considered. The compactness of the random dynamical system is established with a priori estimate method, showing that the random dynamical ... The 2D generalized stochastic Ginzburg-Landau equation with additive noise is considered. The compactness of the random dynamical system is established with a priori estimate method, showing that the random dynamical system possesses a random attractor in H^1 0. 展开更多
关键词 2D generalized stochastic Ginzburg-Landau equation random dynamical system random attractor
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SOME PROPERTIES OF SOLUTIONS OF ONE-DIMENSIONAL STOCHASTIC DIFFERENTIAL EQUATIONS WITH GENERAL COEFFICIENTS
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作者 丁晓东 《Journal of China Textile University(English Edition)》 EI CAS 1995年第1期75-80,共6页
In this paper, the one-dimensional time-homogenuous lto’s stochastic differential equations, which have degenerate and discontinuous diffusion coefficients, are considered. The non-confluent property of solutions is ... In this paper, the one-dimensional time-homogenuous lto’s stochastic differential equations, which have degenerate and discontinuous diffusion coefficients, are considered. The non-confluent property of solutions is showed under some local integrability condition on the diffusion and drift coefficients. The strong comparison theorem for solutions is also established. 展开更多
关键词 stochastic differential equation STRONG comparison THEOREM non-confluent generalized Ito’s rule.
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A General Converse Comparison Theorem for Backward Stochastic Differential Equation with Non-lipschitz Coefficient
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作者 LU Min WANG Zeng-wu 《Chinese Quarterly Journal of Mathematics》 CSCD 2009年第4期568-573,共6页
在这篇文章,我们首先经由向后的随机的微分方程的答案介绍 g 期望(BSDE 在短) 与 non-Lipschitz 系数,并且给 g 期望的性质,然后,我们建立一个将军交谈为有 non-Lipschitz 的向后的随机的微分方程的比较定理系数。
关键词 LIPSCHITZ系数 倒向随机微分方程 比较定理 期望
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A Limit Theorem for Solutions of Backward Stochastic Differential Equations
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作者 BAI Shan HE Jiao 《Journal of China University of Mining and Technology》 2005年第3期271-274,共4页
A limit theorem for solutions of backward stochastic differential equations was established. It extends aresult of Briand et al.
关键词 随机微分方程 极限理论 数学理论 随机过程
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ON THE NECESSARY AND SUFFICIENT CONDITIONS TO SOLVE A HEAT EQUATION WITH GENERAL ADDITIVE GAUSSIAN NOISE 被引量:2
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作者 胡耀忠 刘阳辉 Samy TINDEL 《Acta Mathematica Scientia》 SCIE CSCD 2019年第3期669-690,共22页
In this note, we consider stochastic heat equation with general additive Gaussian noise. Our aim is to derive some necessary and sufficient conditions on the Gaussian noise in order to solve the corresponding heat equ... In this note, we consider stochastic heat equation with general additive Gaussian noise. Our aim is to derive some necessary and sufficient conditions on the Gaussian noise in order to solve the corresponding heat equation. We investigate this problem invoking two differen t met hods, respectively, based on variance compu tations and on pat h-wise considerations in Besov spaces. We are going to see that, as anticipated, both approaches lead to the same necessary and sufficient condition on the noise. In addition, the path-wise approach brings out regularity results for the solution. 展开更多
关键词 stochastic heat equation general Gaussian noise L^(2) solution sufficient and necessary condition Wong-Zakai approximation pathwise solution Holder continuity Besov space
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Analysis of Nonlinear Stochastic Systems with Jumps Generated by Erlang Flow of Events
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作者 Alexander S. Kozhevnikov Konstantin A. Rybakov 《Open Journal of Applied Sciences》 2013年第1期1-7,共7页
In this paper we consider the stochastic systems with jumps (random impulses) generated by Erlang flow of events that lead to discontinuities in paths. These systems may be used in various applications such as a contr... In this paper we consider the stochastic systems with jumps (random impulses) generated by Erlang flow of events that lead to discontinuities in paths. These systems may be used in various applications such as a control of complex technical systems, financial mathematics, mathematical biology and medicine. We propose to use a spectral method formalism to the probabilistic analysis problem for the stochastic systems with jumps. This method allows to get a solution of the analysis problem in an explicit form. 展开更多
关键词 ANALYSIS ERLANG FLOW of EVENTS generalized Fokker-Planck equations Random Impulses JUMP-DIFFUSION Process SPECTRAL Characteristic SPECTRAL Method Formalism stochastic System
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Deterministic and Stochastic Schistosomiasis Models with General Incidence
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作者 Stanislas Ouaro Ali Traoré 《Applied Mathematics》 2013年第12期1682-1693,共12页
In this paper, deterministic and stochastic models for schistosomiasis involving four sub-populations are developed. Conditions are given under which system exhibits thresholds behavior. The disease-free equilibrium i... In this paper, deterministic and stochastic models for schistosomiasis involving four sub-populations are developed. Conditions are given under which system exhibits thresholds behavior. The disease-free equilibrium is globally asymptotically stable if R0 ?and the unique endemic equilibrium is globally asymptotically stable when R0 >?1. The populations are computationally simulated under various conditions. Comparisons are made between the deterministic and the stochastic model. 展开更多
关键词 Computational Simulation general INCIDENCE REPRODUCTION Number SCHISTOSOMIASIS Model stochastic Differential equation
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On the Generalized 2-D Stochastic Ginzburg-Landau Equation
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作者 De Sheng YANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2010年第8期1601-1612,共12页
This paper proves the existence and uniqueness of solutions in a Banach space for the generalized stochastic Ginzburg-Landau equation with a multiplicative noise in two spatial dimensions. The noise is white in time a... This paper proves the existence and uniqueness of solutions in a Banach space for the generalized stochastic Ginzburg-Landau equation with a multiplicative noise in two spatial dimensions. The noise is white in time and correlated in spatial variables. The condition on the parameters is the same as in the deterministic case. The Banach contraction principle and stochastic estimates in Banach spaces are used as the main tool. 展开更多
关键词 generalized stochastic Ginzburg-Landau equation multiplicative noise stochastic partial differential equation
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The Cauchy problem for the stochastic generalized Benjamin-Ono equation
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作者 Wei Yan Jianhua Huang Boling Guo 《Science China Mathematics》 SCIE CSCD 2021年第2期331-350,共20页
The current paper is devoted to the Cauchy problem for the stochastic generalized Benjamin-Ono equation.By establishing the bilinear and trilinear estimates in some Bourgain spaces,we prove that the Cauchy problem for... The current paper is devoted to the Cauchy problem for the stochastic generalized Benjamin-Ono equation.By establishing the bilinear and trilinear estimates in some Bourgain spaces,we prove that the Cauchy problem for the stochastic generalized Benjamin-Ono equation is locally well-posed for the initial data u0(x,w)∈L^(2)(Ω;H^(s)(R))which is F0-measurable with s≥1/2-α/4 andΦ∈L20,s.In particular,whenα=1,we prove that it is globally well-posed for the initial data u0(x,w)∈L2(Ω;H1(R))which is F0-measurable andΦ∈L20,1.The key ingredients that we use in this paper are trilinear estimates,the Ito formula and the Burkholder-Davis-Gundy(BDG)inequality as well as the stopping time technique. 展开更多
关键词 Cauchy problem stochastic generalized Benjamin-Ono equation bilinear estimate trilinear estimate
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MAXIMUM PRINCIPLE FOR STOCHASTIC OPTIMAL CONTROL PROBLEM WITH DISTRIBUTED DELAYS
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作者 张启侠 《Acta Mathematica Scientia》 SCIE CSCD 2021年第2期437-449,共13页
This paper is concerned with a Pontryagin's maximum principle for the stochastic optimal control problem with distributed delays given by integrals of not necessarily linear functions of state or control variables... This paper is concerned with a Pontryagin's maximum principle for the stochastic optimal control problem with distributed delays given by integrals of not necessarily linear functions of state or control variables.By virtue of the duality method and the generalized anticipated backward stochastic differential equations,we establish a necessary maximum principle and a sufficient verification theorem.In particular,we deal with the controlled stochastic system where the distributed delays enter both the state and the control.To explain the theoretical results,we apply them to a dynamic advertising problem. 展开更多
关键词 Distributed delay generalized anticipated backward stochastic differential equations optimal control maximum principle
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New Solutions for an Elliptic Equation Method and Its Applications in Nonlinear Evolution Equations
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作者 Minghuan Liu Yuanguang Zheng 《Journal of Applied Mathematics and Physics》 2022年第8期2415-2431,共17页
In this paper, we study an elliptic equation with four distinct real roots and obtain five new solutions to this type of elliptic equation. Using these obtained new elliptic function solutions we can construct a serie... In this paper, we study an elliptic equation with four distinct real roots and obtain five new solutions to this type of elliptic equation. Using these obtained new elliptic function solutions we can construct a series of explicit exact solutions for many nonlinear evolution equations. As examples, we choose combined KdV-MKdV equation, a fourth-order integrable nonlinear Schr&#246;dinger equation and generalized Dullin-Gottwald-Holm equation to demonstrate the effectiveness of these new elliptic function solutions. These new elliptic function solutions can be applied to many other nonlinear evolution equations. 展开更多
关键词 Elliptic equation Periodic Wave Solution Singular Wave Solution Combined kdv-mkdv equation generalized Dullin-Gottwald-Holm equation
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General Decay Pathwise Stability of Neutral Stochastic Differential Equations with Unbounded Delay 被引量:3
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作者 Yang Zi HU Fu Ke WU Cheng Ming HUANG 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2011年第11期2153-2168,共16页
Without the linear growth condition, by the use of Lyapunov function, this paper estab- lishes the existence^and-uniqueness theorem of global solutions to a class of neutral stochastic differen- tim equations with unb... Without the linear growth condition, by the use of Lyapunov function, this paper estab- lishes the existence^and-uniqueness theorem of global solutions to a class of neutral stochastic differen- tim equations with unbounded delay, and examines the pathwise stability of this solution with general decay rate. As an application of our results, this paper also considers in detail a two-dimensional unbounded delay neutral stochastic differential equation with polynomial coefficients. 展开更多
关键词 Pathwise stability neutral stochastic differential equations unbounded delay M-MATRIX general decay rate
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生成扩散模型研究综述 被引量:1
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作者 闫志浩 周长兵 李小翠 《计算机科学》 CSCD 北大核心 2024年第1期273-283,共11页
扩散模型在生成模型领域具有高质量的样本生成能力,一经推出就不断地刷新图像生成评价指标FID分数的记录,成为了该领域的研究热点,而此类相关综述在国内还鲜有介绍。因此,文中对相关扩散生成模型的研究进行汇总与分析。首先,对去噪扩散... 扩散模型在生成模型领域具有高质量的样本生成能力,一经推出就不断地刷新图像生成评价指标FID分数的记录,成为了该领域的研究热点,而此类相关综述在国内还鲜有介绍。因此,文中对相关扩散生成模型的研究进行汇总与分析。首先,对去噪扩散概率模型、基于分数的扩散生成模型和随机微分方程的扩散生成模型这3类通用模型的特点和原理进行了论述,就每一类基本扩散模型中以优化模型内部算法、高效采样为改进目标的相关衍生模型进行分析。其次,对当下扩散模型在计算机视觉、自然语言处理、时间序列、多模态和跨学科领域等方面的应用进行总结。最后,基于上述论述,分别就目前扩散生成模型存在的采样步骤多、采样时间长等局限性提出了相关建议,并结合前述研究对未来扩散生成模型的发展方向进行了研判。 展开更多
关键词 深度学习 生成模型 去噪扩散概率模型 基于分数的扩散模型 随机微分方程 图像生成
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Backward stochastic differential equations and backward stochastic Volterra integral equations with anticipating generators
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作者 Hanxiao Wang Jiongmin Yong Chao Zhou 《Probability, Uncertainty and Quantitative Risk》 2022年第4期301-332,共32页
For a backward stochastic differential equation(BSDE,for short),when the generator is not progressively measurable,it might not admit adapted solutions,shown by an example.However,for backward stochastic Volterra inte... For a backward stochastic differential equation(BSDE,for short),when the generator is not progressively measurable,it might not admit adapted solutions,shown by an example.However,for backward stochastic Volterra integral equations(BSVIEs,for short),the generators are allowed to be anticipating.This gives,among other things,an essential difference between BSDEs and BSVIEs.Under some proper conditions,the well-posedness of such BSVIEs is established.Further,the results are extended to path-dependent BSVIEs,in which the generators can depend on the future paths of unknown processes.An additional finding is that for path-dependent BSVIEs,in general,the situation of anticipating generators is not avoidable,and the adaptedness condition similar to that imposed for anticipated BSDEs by Peng−Yang[22]is not necessary. 展开更多
关键词 Backward stochastic Volterra integral equation Backward stochastic differential equation Anticipating generator PATH-DEPENDENCE
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非平稳随机激励下高维非线性系统可靠度分析的概率密度全局演化方法
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作者 律梦泽 陈建兵 《振动工程学报》 EI CSCD 北大核心 2024年第6期903-914,共12页
实际工程结构遭受的灾害性动力作用(如强风、地震等)往往具有显著的随机性和非平稳性。对复杂随机激励下高维非线性系统的动力可靠度进行精细化分析,对于实际工程结构的抗灾设计和优化具有重要意义。基于一般连续随机过程的降维概率密... 实际工程结构遭受的灾害性动力作用(如强风、地震等)往往具有显著的随机性和非平稳性。对复杂随机激励下高维非线性系统的动力可靠度进行精细化分析,对于实际工程结构的抗灾设计和优化具有重要意义。基于一般连续随机过程的降维概率密度演化方程,给出了一类非平稳随机激励下的高维非线性系统动力可靠度分析方法。具体地,若仅针对系统某一感兴趣物理量在给定安全域下的首次超越问题,则可以构造该物理量在安全域内的吸收边界过程,并建立其瞬时概率密度函数满足的二维偏微分方程,即降维概率密度演化方程。方程中的本征漂移系数是驱动概率密度演化的全局性物理驱动力,可以通过对原系统有限次代表性确定性动力分析获取的数据进行数值构造。采用数值方法求解降维概率密度演化方程,即可获得系统的动力可靠度解答。文中通过两个算例验证了该方法的有效性,并讨论了需要进一步研究的问题。 展开更多
关键词 降维概率密度演化方程 高维非线性随机动力系统 非平稳随机激励 动力可靠度分析 物理驱动
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Wick类型随机广义Kdv-MKdv方程的精确解 被引量:2
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作者 黄伟祥 宋先发 《吉林大学学报(理学版)》 CAS CSCD 北大核心 2007年第4期529-534,共6页
通过埃尔米特变换将W ick类型的随机广义Kdv-MKdv方程变成广义系数Kdv-MKdv方程,利用截断展开法求出广义系数Kdv-MKdv方程的精确解,并通过埃尔米特逆变换得到了随机广义Kdv-MKdv方程的精确解.
关键词 随机广义kdv-mkdv方程 随机精确解 白色噪音 截断展开法 埃尔米特变换
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一类Wick型随机KdV-MKdV方程的白噪声泛函解 被引量:2
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作者 朱宏 刘雄 《山东大学学报(理学版)》 CAS CSCD 北大核心 2008年第5期45-49,53,共6页
利用埃尔米特变换求出了Wick类型的随机广义KdV-MKdV方程的精确解,这种方法的基本思想是通过埃尔米特变换把Wick类型的随机广义KdV-MKdV方程变成广义系数KdV,利用一种变换方法求出方程的精确解,然后通过埃尔米特的逆变换求出方程的精确解。
关键词 wick类型的随机广义KdV—MKdV方程 随机精确解 白色噪音 埃尔米特变换
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