Carleman estimates for higher order partial differential operators and its applications
Xiaoyu Fu, Yuan Gao

TL;DR
This paper introduces a new back-propagation method to derive Carleman estimates for higher order partial differential operators, enabling applications like proving stability in fractional diffusion equations.
Contribution
A novel back-propagation method for establishing Carleman estimates for complex differential operators, with potential for broader applications and numerical analysis.
Findings
Developed a new back-propagation method for Carleman estimates
Proved conditional stability of a Cauchy problem for fractional diffusion
Method applicable to other PDE operators
Abstract
In this paper, we obtain a Carleman estimate for the higher order partial differential operator. In the process of establishing this estimate, we developed a new method, which is called the back-propagation method (the BPM, for short). This method can also be used to build up Carleman estimates for some other partial differential operators, and might provide assistance with corresponding numerical analyses. As an application of the above-mentioned Carleman estimate, we proved the conditional stability of a Cauchy problem for a time fractional diffusion equation.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Numerical methods in inverse problems · Differential Equations and Boundary Problems
