区间上分数阶热方程的初边值问题

IF 1.4 4区数学 Q2 MATHEMATICS, APPLIED IMA Journal of Applied Mathematics Pub Date : 2023-11-04 DOI:10.1093/imamat/hxad029

Y Peña Pérez, J Sánchez Ortíz, F J Ariza Hernández, M P Árciga Alejandre

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引用次数: 0

摘要

研究了一类分数阶热方程的Dirichlet问题，该方程在有限区间上具有Riemann-Liouville意义上的空间分数阶导数。采用Fokas方法的主要思想，利用Lax对得到解的积分表示。

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Initial-boundary value problem for a fractional heat equation on an interval

Abstract In this paper, we study a Dirichlet problem for a fractional heat equation, with spacial fractional derivative in the sense of Riemann–Liouville on a finite interval. The main ideas of Fokas method is employed, where the Lax pairs are used to obtain an integral representation of solutions.

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来源期刊

IMA Journal of Applied Mathematics 数学-应用数学

CiteScore

2.30

自引率

8.30%

发文量

审稿时长

24 months

期刊介绍： The IMA Journal of Applied Mathematics is a direct successor of the Journal of the Institute of Mathematics and its Applications which was started in 1965. It is an interdisciplinary journal that publishes research on mathematics arising in the physical sciences and engineering as well as suitable articles in the life sciences, social sciences, and finance. Submissions should address interesting and challenging mathematical problems arising in applications. A good balance between the development of the application(s) and the analysis is expected. Papers that either use established methods to address solved problems or that present analysis in the absence of applications will not be considered. The journal welcomes submissions in many research areas. Examples are: continuum mechanics materials science and elasticity, including boundary layer theory, combustion, complex flows and soft matter, electrohydrodynamics and magnetohydrodynamics, geophysical flows, granular flows, interfacial and free surface flows, vortex dynamics; elasticity theory; linear and nonlinear wave propagation, nonlinear optics and photonics; inverse problems; applied dynamical systems and nonlinear systems; mathematical physics; stochastic differential equations and stochastic dynamics; network science; industrial applications.