Well-Posedness of Problems for the Heat Equation with a Fractional-Loaded Term and Memory

We investigate the Cauchy problem for a heat equation incorporating variable diffusion coefficients and fractional memory effects modeled by a separable convolution kernel. By employing the fundamental solution of the associated parabolic equation, the problem is reformulated as a Volterra-type integral equation. Under appropriate regularity assumptions, we establish existence and uniqueness of classical solutions. Furthermore, we address an inverse problem aimed at simultaneously recovering the memory kernel and the solution. Using a differentiability-based approach, we derive a stable and well-posed formulation that enables the identification of memory effects in fractional heat models.

Authors

Institutions

Publication Details

Journal
Dynamics
Published
2025-10-14
DOI
https://doi.org/10.3390/dynamics5040044
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Well-Posedness of Problems for the Heat Equation with a Fractional-Loaded Term and Memory

Umida Baltaeva, Omongul Egamberganova, B. A. Khasanov, Hamrobek Hayitbayev
Dynamics
Fractional Differential Equations Solutions
article

Well-Posedness of Problems for the Heat Equation with a Fractional-Loaded Term and Memory

Umida Baltaeva, Omongul Egamberganova, B. A. Khasanov, Hamrobek Hayitbayev
article en

Abstract

We investigate the Cauchy problem for a heat equation incorporating variable diffusion coefficients and fractional memory effects modeled by a separable convolution kernel. By employing the fundamental solution of the associated parabolic equation, the problem is reformulated as a Volterra-type integral equation. Under appropriate regularity assumptions, we establish existence and uniqueness of classical solutions. Furthermore, we address an inverse problem aimed at simultaneously recovering the memory kernel and the solution. Using a differentiability-based approach, we derive a stable and well-posed formulation that enables the identification of memory effects in fractional heat models.

DynamicsVol. 5(4)
Academy of Sciences Republic of Uzbekistan (UZ), Urgench State University (UZ), National University of Uzbekistan (UZ), Tashkent State University of Economics (UZ)
Openalex Percentile: Top 67%
Fractional Differential Equations Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.