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相关论文: Strong dissipativity of generalized time-fractiona…

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This paper is devoted to the study of generalised time-fractional evolution equations involving Caputo type derivatives. Using analytical methods and probabilistic arguments we obtain well-posedness results and stochastic representations…

偏微分方程分析 · 数学 2022-05-03 M. E. Hernández-Hernández , V. N. Kolokoltsov , L. Toniazzi

In this paper we develop a method to solve evolution equations on Gelfand triples with time-fractional derivative based on monotonicity techniques. Applications include deterministic and stochastic quasi-linear partial differential…

偏微分方程分析 · 数学 2018-05-31 Wei Liu , Michael Röckner , José Luís da Silva

In this paper we investigate existence of solutions for the system: \begin{equation*} \left\{ \begin{array}{l} D^{\alpha}_tu=\textrm{div}(u \nabla p),\\ D^{\alpha}_tp=-(-\Delta)^{s}p+u^{2}, \end{array} \right. \end{equation*} in…

偏微分方程分析 · 数学 2021-06-24 Esther S. Daus , Maria Pia Gualdani , Jingjing Xu , Nicola Zamponi , Xinyu Zhang

In this work, we consider a time-fractional Allen-Cahn equation, where the conventional first order time derivative is replaced by a Caputo fractional derivative with order $\alpha\in(0,1)$. First, the well-posedness and (limited) smoothing…

数值分析 · 数学 2019-06-18 Qiang Du , Jiang Yang , Zhi Zhou

In honor of the great Russian mathematician A. N. Kolmogorov, we would like to draw attention in the present paper to a curious mathematical observation concerning fractional differential equations describing physical systems, whose time…

In this note, we prove or re-prove several important results regarding one dimensional time fractional ODEs following our previous work \cite{fllx17}. Here we use the definition of Caputo derivative proposed in \cite{liliu17frac1,liliu2017}…

经典分析与常微分方程 · 数学 2018-04-03 Yuanyuan Feng , Lei Li , Jian-Guo Liu , Xiaoqian Xu

We introduce an $L_q(L_p)$-theory for the quasi-linear fractional equations of the type $$ \partial^{\alpha}_t u(t,x)=a^{ij}(t,x)u_{x^i x^j}(t,x)+f(t,x,u), \quad t>0, \,x\in \mathbf{R}^d. $$ Here, $\alpha\in (0,2)$, $p,q>1$, and…

偏微分方程分析 · 数学 2015-05-11 Ildoo Kim , Kyeong-Hun Kim , Sungbin Lim

We consider a discretization of Caputo derivatives resulted from deconvolving a scheme for the corresponding Volterra integral. Properties of this discretization, including signs of the coefficients, comparison principles, and stability of…

数值分析 · 数学 2019-08-19 Lei Li , Jian-Guo Liu

In this paper we investigate the following fractional order in time Cauchy problem \begin{equation*} \begin{cases} \mathbb{D}_{t}^{\alpha }u(t)+Au(t)=f(u(t)), & 1<\alpha <2, u(0)=u_{0},\,\,\,u^{\prime }(0)=u_{1}. & \end{cases}%…

偏微分方程分析 · 数学 2018-08-08 Edgardo Alvarez , Ciprian Gal , Valentin Keyantuo , Mahamadi Warma

We introduce a notion of weak solution for abstract fractional differential equations, motivated by the definition of Caputo derivative. We prove existence results for weak and strong solutions. We also give two examples as application of…

偏微分方程分析 · 数学 2021-06-15 Paola Loreti , Daniela Sforza

We consider the Cauchy problem for stochastic fractional evolution equations with Caputo time fractional derivative of order $1<\alpha<2$ and space variable coefficients on an unbounded domain. The space derivatives that appear in the…

概率论 · 数学 2025-10-28 Miloš Japundžić , Danijela Rajter-Ćirić

We consider a class of porous medium type of equations with Caputo time derivative. The prototype problem reads as $\Dc u=-\A u^m$ and is posed on a bounded Euclidean domain $\Omega\subset\mathbb{R}^N$ with zero Dirichlet boundary…

偏微分方程分析 · 数学 2024-04-03 Matteo Bonforte , Maria Gualdani , Peio Ibarrondo

In this paper, we first propose an unconditionally stable implicit difference scheme for solving generalized time-space fractional diffusion equations (GTSFDEs) with variable coefficients. The numerical scheme utilizes the $L1$-type formula…

数值分析 · 数学 2021-09-15 Xian-Ming Gu , Ting-Zhu Huang , Yong-Liang Zhao , Pin Lyu , Bruno Carpentieri

We study operators that are generalizations of the classical Riemann-Liouville fractional integral, and of the Riemann-Liouville and Caputo fractional derivatives. A useful formula relating the generalized fractional derivatives is proved,…

经典分析与常微分方程 · 数学 2012-10-29 Tatiana Odzijewicz , Agnieszka B. Malinowska , Delfim F. M. Torres

In this work, we introduce a novel variational framework for the study of the unsteady Stokes equations in a bounded open Lipschitz domain in R^n, involving a Caputo fractional derivative in time. The nonlocal nature of the fractional…

偏微分方程分析 · 数学 2025-11-19 Juan Carlos Oyola Ballesteros , Paulo M. Carvalho-Neto

We establish trace and extension theorems for evolutionary equations with the Caputo fractional derivatives in (weighted) $L_p$ spaces. To achieve this, we identify weighted Sobolev and Besov spaces with mixed norms that accommodate…

偏微分方程分析 · 数学 2023-08-28 Doyoon Kim , Kwan Woo

Space-time fractional evolution equations are a powerful tool to model diffusion displaying space-time heterogeneity. We prove existence, uniqueness and stochastic representation of classical solutions for an extension of Caputo evolution…

偏微分方程分析 · 数学 2018-09-03 Lorenzo Toniazzi

We study a class of stochastic time-fractional equations on $\mathbb{R}^d$ driven by a centered Gaussian noise, involving a Caputo time derivative of order $\beta>0$, a fractional (power) Laplacian of order $\alpha>0$, and a…

概率论 · 数学 2026-02-06 Le Chen , Cheuk Yin Lee , Panqiu Xia

We consider a class of time-fractional phase field models including the Allen-Cahn and Cahn-Hilliard equations. We establish several weighted positivity results for functionals driven by the Caputo time-fractional derivative. Several novel…

偏微分方程分析 · 数学 2021-06-22 Dong Li , Chaoyu Quan , Jiao Xu

In this work, we provide the first strong convergence result of numerical approximation of a general second order semilinear stochastic fractional order evolution equation involving a Caputo derivative in time of order $\alpha\in(\frac 34,…

数值分析 · 数学 2021-09-08 Aurelien Junior Noupelah , Antoine Tambue
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