An existence theory for nonlinear superposition operators of mixed fractional order
Serena Dipierro, Kanishka Perera, Caterina Sportelli, Enrico Valdinoci

TL;DR
This paper proves the existence of multiple solutions for a broad class of nonlinear fractional problems involving superpositions of different fractional Laplacians, extending previous results to more general and complex operator combinations.
Contribution
It introduces a general existence framework for nonlinear superpositions of fractional Laplacians of mixed orders, including infinitely many operators with signed measures.
Findings
Established multiple solutions for critical fractional problems
Extended results to sums of multiple fractional p-Laplacians
Handled superpositions with signed measures and dominance conditions
Abstract
We establish the existence of multiple solutions for a nonlinear problem of critical type. The problem considered is fractional in nature, since it is obtained by the superposition of -fractional Laplacians of different orders. The results obtained are new even in the case of the sum of two different fractional -Laplacians, or the sum of a fractional -Laplacian and a classical -Laplacian, but our framework is general enough to address also the sum of finitely, or even infinitely many, operators. In fact, we can also consider the superposition of a continuum of operators, modulated by a general signed measure on the fractional exponents. When this measure is not positive, the contributions of the individual operators to the whole superposition operator is allowed to change sign. In this situation, our structural assumption is that the positive measure on the higher…
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
TopicsNonlinear Partial Differential Equations · Advanced Mathematical Modeling in Engineering · Nonlinear Differential Equations Analysis
