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Stochastic difference equations and a stochastic partial differential equation (SPDE) are simultaneously derived for the time-dependent neutron angular density in a general three-dimensional medium where the neutron angular density is a…

Numerical Analysis · Mathematics 2010-04-16 Edward J. Allen

In this article the authors present stochastic first integrals (SFI), the generalized It\^o-Wentzell formula and its application for obtaining the equations for SFI, for kernel functions for integral invariants and the Kolmogorov equations,…

Probability · Mathematics 2014-01-06 Valery Doobko , Elena Karachanskaya

For charged particle transport the linear Boltzmann transport equation (BTE) turns out to be a partial hyper-singular integro-differential operator. This is due to the fact that the related differential cross-sections…

Analysis of PDEs · Mathematics 2019-02-15 Jouko Tervo

We study convergence in variation of probability solutions of nonlinear Fokker-Planck-Kolmogorov equations to stationary solutions. We obtain sufficient conditions for the exponential convergence of solutions to the stationary solution in…

Probability · Mathematics 2018-01-09 V. I. Bogachev , M. Röckner , S. V. Shaposhnikov

Solving high-dimensional partial differential equations necessitates methods free of exponential scaling in the dimension of the problem. This work introduces a tensor network approach for the Kolmogorov backward equation via approximating…

Numerical Analysis · Mathematics 2024-04-24 Xun Tang , Leah Collis , Lexing Ying

In this article we present the stochastic first integrals (SFI), the generalized It\^o-Wentzell formula and its application for obtaining the equations for SFI, for kernel functions for integral invariants and the Kolmogorov equations,…

Probability · Mathematics 2013-12-17 Valery Doobko , Elena Karachanskaya

In this paper we show that Markov uniqueness for symmetric pre-Dirichlet operators $L$ follows from the uniqueness of the corresponding Fokker-Planck-Kolmogorov equation (FPKE). Since in recent years a considerable number of uniqueness…

Analysis of PDEs · Mathematics 2021-09-21 Sergio Albeverion , Vladimir I. Bogachev , Michael Röckner

Using the original advanced version of the direct method, we efficiently compute the equivalence groupoids and equivalence groups of two peculiar classes of Kolmogorov backward equations with power diffusivity and solve the problems of…

Mathematical Physics · Physics 2025-09-18 Serhii D. Koval , Elsa Dos Santos Cardoso-Bihlo , Roman O. Popovych

In this paper, we study the regularities of solutions of nonlinear stochastic partial differential equations in the framework of Hilbert scales. Then we apply our general result to several typical nonlinear SPDEs such as stochastic Burgers…

Probability · Mathematics 2008-01-28 Xicheng Zhang

We study a reaction-diffusion evolution equation perturbed by a space-time L\'evy noise. The associated Kolmogorov operator is the sum of the infinitesimal generator of a $C_0$-semigroup of strictly negative type acting in a Hilbert space…

Probability · Mathematics 2012-12-27 Sergio Albeverio , Elisa Mastrogiacomo , Boubaker Smii

In this article, we deal with fractional stochastic differential equations, so-called Caputo type fractional backward stochastic differential equations (Caputo fBSDEs, for short), and study the well-posedness of an adapted solution to…

Probability · Mathematics 2022-10-05 Nazim I. Mahmudov , Arzu Ahmadova

The Monte Carlo (MC) trajectory sampling of stochastic differential equations (SDEs) based on the quasiprobabilities, such as the Glauber-Sudarshan P, Wigner, and Husimi Q functions, enables us to investigate bosonic open quantum many-body…

Quantum Gases · Physics 2025-12-24 Toma Yoneya , Kazuya Fujimoto , Yuki Kawaguchi

Given a probability-measure-valued process $(\mu_t)$, we aim to find, among all path-continuous stochastic processes whose one-dimensional time marginals coincide almost surely with $(\mu_t)$ (if there is any), a process that minimizes a…

Probability · Mathematics 2025-07-21 Ehsan Abedi

This paper investigates a Stochastic Partial Differential Equation (SPDE) derived from the Fokker-Planck equation associated with Score-based Generative Models. We modify the standard Fokker-Planck equation to better represent practical…

Analysis of PDEs · Mathematics 2025-09-08 Junsu Seo

We extend Krylov and R\"{o}ckner's result \cite{KR} to the drift coefficients in critical Lebesgue space, and prove the existence and uniqueness of weak solutions for a class of SDEs. To be more precise, let $b: [0,T]\times{\mathbb…

Analysis of PDEs · Mathematics 2017-11-15 Jinlong Wei , Guangying Lv , Jiang-Lun Wu

We study a new class of McKean-Vlasov stochastic differential equations (SDEs), possibly with common noise, applying the theory of time-inhomogeneous polynomial processes. The drift and volatility coefficients of these SDEs depend on the…

Probability · Mathematics 2025-02-27 Christa Cuchiero , Janka Möller

In this paper we focus on nonlinear SPDEs with singularities included in both drift and noise coefficients, for which the Gelfand-triple argument developed for (local) monotone SPDEs turns out to be invalid. We propose a general framework…

Analysis of PDEs · Mathematics 2023-06-06 Hao Tang , Feng-Yu Wang

We consider linear scalar wave equations with a hereditary integral term of the kind used to model viscoelastic solids. The kernel in this Volterra integral is a sum of decaying exponentials (The so-called Maxwell, or Zener model) and this…

Numerical Analysis · Mathematics 2021-12-23 Yongseok Jang , Simon Shaw

This paper presents a new type of Gronwall-Bellman inequality, which arises from a class of integral equations with a mixture of nonsingular and singular integrals. The new idea is to use a binomial function to combine the known…

Classical Analysis and ODEs · Mathematics 2015-11-03 Qiong Wu

We consider a class of degenerate equations satisfying a parabolic H\"ormander condition, with coefficients that are measurable in time and H\"older continuous in the space variables. By utilizing a generalized notion of strong solution, we…

Analysis of PDEs · Mathematics 2023-05-04 Giacomo Lucertini , Stefano Pagliarani , Andrea Pascucci
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