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Monotone iterative technique for evolution equations with delay and nonlocal conditions in ordered Banach space 有序Banach空间中时滞非局部条件演化方程的单调迭代技术
4区 数学 Q2 Mathematics Pub Date : 2023-11-14 DOI: 10.1080/17442508.2023.2280693
Haide Gou
AbstractIn this paper, based on monotone iterative method in the presence of the lower and upper solutions, we investigate the existence and uniqueness of the S-asymptotically ω-periodic mild solutions to a class of nonlocal problems of evolution equations with delay in ordered Banach spaces. Firstly, we introduce the concept of lower S-asymptotically ω-periodic solution and upper S-asymptotically ω-periodic solution. Secondly, we construct monotone iterative method in the presence of the lower and upper solutions to evolution equations with delay, and obtain the existence of maximal and minimal S-asymptotically ω-periodic mild solutions for the mentioned system under wide monotone conditions and noncompactness measure condition of nonlinear term. Finally, as the application of abstract results, an example is given to illustrate our main results.Keywords: Evolution equationsdelaynonlocal problemsmonotone iterative techniqueC0-semigroupS-asymptotically ω-periodic mild solutionsMathematics Subject Classifications: 35R1235K9047D06 Data availability statementMy manuscript has no associate data.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research was supported by the National Natural Science Foundation of China [No. 12061062], Science Research Project for Colleges and Universities of Gansu Province [No. 2022A-010].
摘要本文利用有上下解存在的单调迭代方法,研究了有序Banach空间中一类时滞演化方程非局部问题s渐近ω-周期温和解的存在唯一性。首先,我们引入了下s渐近ω周期解和上s渐近ω周期解的概念。其次,构造了具有时滞演化方程上下解存在的单调迭代方法,得到了该系统在广义单调条件和非线性项的非紧性测度条件下最大最小s渐近ω周期温和解的存在性。最后,作为抽象结果的应用,给出了一个例子来说明我们的主要结果。关键词:进化方程;时滞非局部问题;单调迭代技术;0-半群;渐近ω-周期温和解;数学学科分类:35R1235K9047D06数据可用性声明我的稿件没有关联数据。披露声明作者未报告潜在的利益冲突。本研究由国家自然科学基金资助[No. 1];12061062],甘肃省高等学校科研项目[No. 12061062];2022 - 010年)。
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引用次数: 0
Well-posedness for anticipated backward stochastic Schrödinger equations 预期倒向随机Schrödinger方程的适定性
4区 数学 Q2 Mathematics Pub Date : 2023-11-09 DOI: 10.1080/17442508.2023.2279316
Zhang Chen, Li Yang
AbstractIn this paper, we consider the well-posedness for the anticipated backward stochastic Schrödinger equation in a bounded domain or the whole space Rd, which is associated to a stochastic control problem of nonlinear Schrödinger equations with time delay effect. The approach to establish the existence and uniqueness of adapted solutions are mainly based on the complex Itô's formula, the Galerkin's approximation method and the martingale representation theorem.Keywords: Stochastic Schrödinger equationanticipated backward stochastic differential equationswell-posednessGalerkin's approximation2010 Mathematics Subject Classifications: 60H0560H1560G99 AcknowledgmentsThe authors would like to thank the referees for a careful reading of the manuscript and for a number of useful comments and suggestions for improving the paper.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work is supported by NSFC [grant numbers 11471190 and 11971260].
摘要本文研究了具有时滞效应的非线性Schrödinger方程的随机控制问题,研究了有界域或全空间Rd上期望倒向随机Schrödinger方程的适定性问题。建立自适应解的存在唯一性的方法主要是基于复Itô公式、伽辽金近似法和鞅表示定理。关键词:随机Schrödinger方程;预期后向随机微分方程;泛波完备性;伽辽金近似;2010数学学科分类:60H0560H1560G99致谢作者感谢审稿人对本文的认真阅读,并对本文的改进提出了许多有用的意见和建议。披露声明作者未报告潜在的利益冲突。本研究由国家自然科学基金资助[批准号:11471190和11971260]。
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引用次数: 0
Complete f -moment convergence for sums of asymptotically almost negatively associated random variables with statistical applications 渐近几乎负相关随机变量和的完全f矩收敛与统计应用
4区 数学 Q2 Mathematics Pub Date : 2023-10-04 DOI: 10.1080/17442508.2023.2263606
Houlin Zhou, Chao Lu, Xuejun Wang
AbstractIn this paper, we mainly study the complete f-moment convergence for sums of asymptotically almost negatively associated (AANA, for short) random variables and provide an application. A general result on complete f-moment convergence for arrays of rowwise AANA random variables is obtained. We also give an application to nonparametric regression models based on AANA errors by using the result on complete f-moment convergence that we have established. A sufficient and necessary moment condition for the complete consistency is presented. Finally, a numerical simulation is provided to verify the validity of the theoretical result.Keywords: Asymptotically almost negatively associated random variablescomplete f-moment convergencecomplete convergencenonparametric regression modelcomplete consistencyMathematical subject classifications: 60F1562G05 AcknowledgmentsThe authors are most grateful to the Editor and anonymous referee for carefully reading the manuscript and valuable suggestions which helped in improving an earlier version of this paper.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingSupported by the National Social Science Foundation of China (22BTJ059).
摘要本文主要研究渐近几乎负相关(AANA)随机变量和的完全f矩收敛性,并给出了一个应用。得到了行AANA随机变量阵列完全f矩收敛的一般结果。利用所建立的完全f矩收敛的结果,给出了基于AANA误差的非参数回归模型的一个应用。给出了完全一致性的充分必要矩条件。最后,通过数值仿真验证了理论结果的有效性。关键词:渐近几乎负相关随机变量完全f矩收敛完全收敛非参数回归模型完全一致性数学主题分类:60F1562G05致谢作者非常感谢编辑和匿名审稿人仔细阅读稿件并提出宝贵意见,帮助改进本文的早期版本。披露声明作者未报告潜在的利益冲突。附加信息国家社会科学基金项目(22BTJ059)资助。
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引用次数: 0
Infinite horizon impulse control of stochastic functional differential equations driven by Lévy processes lsamvy过程驱动的随机泛函微分方程的无限视界脉冲控制
4区 数学 Q2 Mathematics Pub Date : 2023-10-04 DOI: 10.1080/17442508.2023.2262666
M. Perninge
We consider impulse control of stochastic functional differential equations (SFDEs) driven by Lévy processes under an additional Lp-Lipschitz condition on the coefficients. Our results, which are first derived for a general stochastic optimization problem over infinite horizon impulse controls and then applied to the case of a controlled SFDE, apply to the infinite horizon as well as the random horizon settings. The methodology employed to show existence of optimal controls is a probabilistic one based on the concept of Snell envelopes.
在系数附加的Lp-Lipschitz条件下,研究由lsamvy过程驱动的随机泛函微分方程的脉冲控制问题。我们的结果,首先推导了一个一般的随机优化问题在无限视界脉冲控制,然后应用到一个受控的SFDE的情况下,适用于无限视界以及随机视界设置。证明最优控制存在性的方法是基于Snell包络概念的概率方法。
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引用次数: 1
A recursive representation for decoupling time-state dependent jumps from jump-diffusion processes 跃变扩散过程中时间状态相关跃变解耦的递归表示
4区 数学 Q2 Mathematics Pub Date : 2023-09-25 DOI: 10.1080/17442508.2023.2259534
Qinjing Qiu, Reiichiro Kawai
AbstractWe establish a recursive representation that fully decouples jumps from a large class of multivariate inhomogeneous stochastic differential equations with jumps of general time-state dependent unbounded intensity, not of Lévy-driven type that essentially benefits a lot from independent and stationary increments. The recursive representation, along with a few related ones, are derived by making use of a jump time of the underlying dynamics as an information relay point in passing the past on to a previous iteration step to fill in the missing information on the unobserved trajectory ahead. We prove that the proposed recursive representations are convergent exponentially fast in the limit, and can be represented in a similar form to Picard iterates under the probability measure with its jump component suppressed. On the basis of each iterate, we construct upper and lower bounding functions that are also convergent towards the true solution as the iterations proceed. We provide numerical results to justify our theoretical findings.Keywords: Jump-diffusion processestime-state dependent jump ratePicard iterationpartial integro-differential equationsfirst exit times2020 Mathematics Subject Classifications: 91B3060G5165M1565N15 Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work was partially supported by JSPS Grants-in-Aid for Scientific Research 20K22301 and 21K03347.
摘要我们建立了一个递归表示,它完全解耦了一大类多元非齐次随机微分方程的跳变,这些方程的跳变具有一般时间状态相关的无界强度,而不是由独立和平稳增量驱动的lsamv驱动型。递归表示以及一些相关的表示是通过利用底层动态的跳跃时间作为信息中继点,将过去传递到前一个迭代步骤,以填补前面未观察到的轨迹上的缺失信息而导出的。我们证明了所提出的递归表示在极限下是指数级快速收敛的,并且可以用类似于概率测度下抑制跳跃分量的Picard迭代的形式表示。在每次迭代的基础上,我们构造上界和下界函数,随着迭代的进行,它们也收敛于真解。我们提供数值结果来证明我们的理论发现。关键词:跳跃-扩散过程时间-状态依赖跳跃率ard迭代偏积分-微分方程首次退出时间2020数学学科分类:91B3060G5165M1565N15披露声明作者未报告潜在利益冲突。本研究得到了JSPS科学研究资助项目20K22301和21K03347的部分资助。
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引用次数: 1
Averaging principles for two-time-scale neutral stochastic delay partial differential equations driven by fractional Brownian motions 分数布朗运动驱动的双时标中性随机时滞偏微分方程的平均原理
4区 数学 Q2 Mathematics Pub Date : 2023-09-16 DOI: 10.1080/17442508.2023.2258250
Bin Pei, Yong Xu, Min Han
AbstractWe prove the validity of averaging principles for two-time-scale neutral stochastic delay partial differential equations (NSDPDEs) driven by fractional Brownian motions (fBms) under two-time-scale formulation. Firstly, in the sense of mean-square convergence, we obtain not only the averaging principles for NSDPDEs involving two-time-scale Markov switching with a single weakly recurrent class but also for the case of two-time-scale Markov switching with multiple weakly irreducible classes. Secondly, averaging principles for NSDPDEs driven by fBms with random delay modulated by two-time-scale Markovian switching are established. We proved that there is a limit process in which the fast changing noise is averaged out. The limit process is substantially simpler than that of the original full fast–slow system.Keywords: Averaging principlesneutral stochastic delay partial differential equationsrandom delayfractional Brownian motionstwo-time-scale Markov switching2010 Mathematics Subject Classifications: Primary: 60G22Secondary: 60H15 Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingPei's work was partially supported by National Natural Science Foundation of China (NSFC) [grant number 12172285], NSFC-Chongqing [grant number cstc2021jcyj-msxmX0296], Shaanxi Fundamental Science Research Project for Mathematics and Physics [grant number 22JSQ027], Fundamental Research Funds for the Central Universities, Young Talent Fund of the University Association for Science and Technology in Shaanxi, China. Xu's work was partially supported by NSFC [grant number 12072264], and NSFC Key International (Regional) Joint Research Program [grant number 12120101002].
摘要证明了分数布朗运动驱动的双时间尺度中立型随机时滞偏微分方程(NSDPDEs)在双时间尺度下的平均原理的有效性。首先,在均方收敛的意义上,我们不仅得到了包含单个弱循环类的两时间尺度马尔可夫切换的NSDPDEs的平均原理,而且得到了包含多个弱不可约类的两时间尺度马尔可夫切换的NSDPDEs的平均原理。其次,建立了由双时间尺度马尔可夫切换调制的随机延迟fBms驱动的NSDPDEs的平均原理。我们证明了存在一个极限过程,在这个过程中快速变化的噪声被平均掉。极限过程比原来的全快慢系统要简单得多。关键词:平均原理中性随机延迟偏微分方程随机延迟分数布朗运动双时间尺度马尔可夫切换2010数学学科分类:初级:60g22次级:60H15披露声明作者未报告潜在利益冲突。项目资助:国家自然科学基金项目[批准号12172285]、重庆市自然科学基金项目[批准号cstc2021jcyj-msxmX0296]、陕西省数学与物理基础科学研究项目[批准号22JSQ027]、中央高校基本科研业务费专项资金、陕西省高校科协青年人才基金。徐的工作得到了国家自然科学基金委[批准号12072264]和国家自然科学基金委重点国际(地区)联合研究计划[批准号12120101002]的部分支持。
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引用次数: 0
Asymptotics and criticality for a space-dependent branching process 空间相关分支过程的渐近性和临界性
4区 数学 Q2 Mathematics Pub Date : 2023-09-13 DOI: 10.1080/17442508.2023.2256922
Ilie Grigorescu, Min Kang
AbstractWe investigate a non-conservative semigroup (St)t≥0 determined by a branching process tracing the evolution of particles moving in a domain in Rd. When a particle is killed at the boundary, a new generation of particles with mean number K¯ is born at a random point in the domain. Between branching, the particles are driven by a diffusion process with Dirichlet boundary conditions. According to the sign of K¯−1, we distinguish super/sub-critical regimes and determine the exact exponential rate for the total number of particles n(t)∼exp⁡(α∗t), with α∗ depending explicitly on K¯. We prove the Yaglom limit St/n(t)→ν, where the quasi-stationary distribution ν is determined by the resolvent of the Dirichlet kernel at the point α∗. The main application is in particle systems, where the normalization of the semigroup by its total mass gives the hydrodynamic limit of the Bak-Sneppen branching diffusions (BSBD). Since ν is the asymptotic profile under equilibrium, and the family of quasi-stationary distributions ν is indexed by K¯, the model provides an explicit example of self-organized criticality.Keywords: SemigroupYaglom limitbranching processessupercriticalqsdBak-SneppenFleming-ViotDirichlet kernelKey Words and Phrases: Primary: 60J3560J80Secondary: 47D0760K35 Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要研究了一个非保守半群(St)t≥0,该半群是由在Rd域中运动的粒子的分支过程确定的。当一个粒子在边界处被杀死时,在该区域的随机点上产生了平均数为K¯的新一代粒子。在分支之间,粒子由具有狄利克雷边界条件的扩散过程驱动。根据K¯−1的符号,我们区分了超/次临界状态,并确定了粒子总数n(t) ~ exp (α∗t)的确切指数率,其中α∗显式依赖于K¯。证明了Yaglom极限St/n(t)→ν,其中拟平稳分布ν由Dirichlet核在点α∗处的解决定。主要应用于粒子系统,其中半群的总质量归一化给出了贝克-斯奈彭分支扩散(BSBD)的流体动力学极限。由于ν是平衡状态下的渐近剖面,而拟平稳分布族ν由K¯索引,因此该模型提供了一个明确的自组织临界性的例子。关键词:SemigroupYaglom限制分支过程supercriticalqsdbak - sneppenflefleming - viotdirichlet核关键词:一级:60j3560j80二级:47D0760K35披露声明作者未报告潜在利益冲突。
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引用次数: 1
Solving stochastic equations with unbounded nonlinear perturbations 求解具有无界非线性扰动的随机方程
4区 数学 Q2 Mathematics Pub Date : 2023-09-13 DOI: 10.1080/17442508.2023.2258248
Mohamed Fkirine, Said Hadd
AbstractThis paper is interested in semilinear stochastic equations having unbounded nonlinear perturbations in the deterministic part and/or in the random part. Moreover, the linear part of these equations is governed by a not necessarily analytic semigroup. The main difficulty with these equations is how to define the concept of mild solutions due to the chosen type of unbounded perturbations. To overcome this problem, we first proved a regularity property of the stochastic convolution with respect to the domain of ‘admissible’ unbounded linear operators (not necessarily closed or closable). This is done using Yosida extensions of such unbounded linear operators. After proving the well-posedness of these equations, we also establish the Feller property for the corresponding transition semigroups. Several examples like heat equations and Schrödinger equations with nonlocal perturbations terms are given. Finally, we give an application to a general class of semilinear neutral stochastic equations.Keywords: Semilinear stochastic equationsunbounded nonlinear perturbationHilbert spacesemigroupequations with delays Disclosure statementNo potential conflict of interest was reported by the author(s).
摘要本文研究了在确定性部分和(或)随机部分具有无界非线性扰动的半线性随机方程。此外,这些方程的线性部分不一定由解析半群控制。这些方程的主要困难是如何定义由于所选择的无界扰动类型而产生的温和解的概念。为了克服这个问题,我们首先证明了随机卷积在“可容许的”无界线性算子(不一定是闭的或可闭的)域中的正则性。这是使用Yosida扩展的无界线性算子完成的。在证明了这些方程的适定性之后,我们还建立了相应转移半群的Feller性质。给出了一些具有非局部扰动项的热方程和Schrödinger方程的例子。最后,我们给出了一类一般的半线性中立型随机方程的一个应用。关键词:半线性随机方程;有界非线性摄动;希尔伯特空间;
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引用次数: 0
The asymptotic equipartition property for a special Markov random field 一类特殊马尔可夫随机场的渐近均分性质
4区 数学 Q2 Mathematics Pub Date : 2023-09-11 DOI: 10.1080/17442508.2023.2255340
Zhiyan Shi, Xiaoyu Zhu
The asymptotic equipartition property (AEP) plays an important role in establishing lossless source coding theorems and asymptotic coding theorems through the concepts of typical sets and typical sequences in information theory. In this paper, we study the generalized asymptotic equipartition property in the form of moving average for N bifurcating Markov chains indexed by an N-branch Cayley tree, which is a special case of Markov Urandom fields. Firstly, we construct a class of random variables containing a parameter with means of 1, and establish a strong limit theorem for the moving average of multivariate functions of such chains using the Borel–Cantelli lemma. Secondly, we present the strong law of large numbers for the frequencies of occurrence of states of the moving average, as well as the generalized asymptotic equipartition property for N bifurcating Markov chains indexed by an N-branch Cayley tree. As corollaries, we also generalize some known results.
渐近均分性(AEP)在利用信息论中的典型集和典型序列的概念建立无损源编码定理和渐近编码定理方面起着重要的作用。本文研究了以N支Cayley树为索引的N个分岔马尔可夫链的移动平均形式的广义渐近均分性质,这是马尔可夫随机域的一种特殊情况。首先构造了一类参数均值为1的随机变量,利用Borel-Cantelli引理建立了该类链多元函数移动平均的强极限定理。其次,我们给出了移动平均状态出现频率的强大数律,以及以N支Cayley树为索引的N个分岔Markov链的广义渐近均分性质。作为推论,我们也推广了一些已知的结果。
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引用次数: 0
Malliavin derivative of Teugels martingales and mean-field type stochastic maximum principle Teugels鞅的Malliavin导数与平均场型随机极大值原理
4区 数学 Q2 Mathematics Pub Date : 2023-09-11 DOI: 10.1080/17442508.2023.2256506
Gaofeng Zong
We study the mean-field type stochastic control problem where the dynamics is governed by a general Lévy process with moments of all orders. For this, we introduce the power jump processes and the related Teugels martingales and give the Malliavin derivative with respect to Teugels martingales. We derive necessary and sufficient conditions for optimality of our control problem in the form of a mean-field stochastic maximum principle.
研究了一类平均场型随机控制问题,该问题的动力学由具有所有阶矩的一般lsamvy过程控制。为此,我们引入幂跃过程和相关的Teugels鞅,并给出对Teugels鞅的Malliavin导数。我们以平均场随机极大值原理的形式导出了控制问题的最优性的充分必要条件。
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引用次数: 0
期刊
Stochastics-An International Journal of Probability and Stochastic Processes
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