Boundary Value Problem for the Fractional Diffusion Equation with the Right-Sided Liouville Operator in a Triangular Domain

2026

Closed access Metadata (CSL-JSON)
DOI 10.1134/s199508022561389x
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

We study the first Dirichlet boundary-value problem for a time-fractional diffusion equation with the right-sided Liouville derivative of order strictly between zero and one, posed in a degenerate triangular domain with a moving boundary. A fundamental solution in the half-space is derived using the sine Fourier transform and the Laplace transform, yielding an explicit Green function written through the Wright and Mittag-Leffler special functions. The solution inside the domain is represented by fractional-diffusion layer potentials with unknown densities, which are determined from a system of Volterra integral equations of the second kind with weakly singular kernels. We establish jump relations for the double-layer potential on both the fixed and the slanted boundaries, and we obtain kernel estimates based on the asymptotics of the Wright function, thereby justifying passage to the limit under the integral sign. For continuous, bounded data we prove existence and uniqueness of a solution and show that the boundary densities are computable by the method of successive approximations. Explicit integral representations are provided, along with conditions ensuring the applicability of the derived estimates.