Gamma convergence and asymptotic behavior for eigenvalues of nonlocal problems
Juli\'an Fern\'andez Bonder, Anal\'ia Silva, Juan F. Spedaletti

TL;DR
This paper uses Gamma-convergence to analyze the asymptotic behavior of fractional eigenvalue problems, unifying various cases and extending known results for the fractional Laplacian as parameters vary.
Contribution
It introduces a unified Gamma-convergence framework to study the asymptotics of fractional eigenvalues, including new cases not previously analyzed.
Findings
Recovered known eigenvalue behaviors as fractional parameter s approaches 1.
Extended results for eigenvalues as p approaches infinity.
Analyzed new eigenvalue problems not previously covered.
Abstract
In this paper we analyze the asymptotic behavior of several fractional eigenvalue problems by means of Gamma-convergence methods. This method allows us to treat different eigenvalue problems under a unified framework. We are able to recover some known results for the behavior of the eigenvalues of the fractional laplacian when the fractional parameter goes to 1, and to extend some known results for the behavior of the same eigenvalue problem when goes to . Finally we analyze other eigenvalue problems not previously covered in the literature.
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.
