Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 33 tok/s Pro
GPT-5 High 30 tok/s Pro
GPT-4o 86 tok/s Pro
Kimi K2 173 tok/s Pro
GPT OSS 120B 438 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Finite element method for a constant time delay subdiffusion equation with Riemann-Liouville fractional derivative (2509.13052v1)

Published 16 Sep 2025 in math.NA and cs.NA

Abstract: This work considers to numerically solve a subdiffusion equation involving constant time delay $\tau$ and Riemann-Liouville fractional derivative. First, a fully discrete finite element scheme is developed for the considered problem under the symmetric graded time mesh, where the Caputo fractional derivative is approximated via the L1 formula, while the Riemann-Liouville integral is discretized using the fractional right rectangular rule. Under the assumption that the exact solution has low regularities at $t=0$ and $\tau$, the local truncation errors of both the L1 formula and the fractional right rectangular rule are analyzed. It is worth noting that, by setting the mesh parameter $r=1$, the symmetric graded time mesh will degenerate to a uniform mesh. Consequently, we proceed to discuss the stability and convergence of the proposed numerical scheme under two scenarios. For the uniform time mesh, by introducing a discrete sequence ${P_k}$, the unconditional stability and local time error estimate for the developed scheme is established. Conversely, on the symmetric graded time mesh, through the introduction of a discrete fractional Gronwall inequality, the stability and globally optimal time error estimate can be obtained. Finally, some numerical tests are presented to validate the theoretical results.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.