
TL;DR
This paper explores the fundamental aspects of non-local variational principles, focusing on scalar, one-dimensional cases, revealing unexpected behaviors and establishing a foundation for analyzing more complex, higher-dimensional problems.
Contribution
It introduces a general perspective on non-local variational principles, highlighting key differences from classical problems, such as the use of fractional derivatives and integral equations for optimality.
Findings
Existence of minimizers without convexity of integrands
Optimality characterized by integral rather than differential equations
Different non-local derivatives like fractional Sobolev spaces
Abstract
Non-locality is being intensively studied in various PDE-contexts and in variational problems. The numerical approximation also looks challenging, as well as the application of these models to Continuum Mechanics and Image Analysis, among other areas. Even though there is a growing body of deep and fundamental knowledge about non-locality, for variational principles there are still very basic questions that have not been addressed so far. Taking some of these as a motivation, we describe a general perspective on distinct classes of non-local variational principles setting a program for the analysis of this kind of problems. We start such program with the simplest problem possible: that of scalar, uni-dimensional cases, under a particular class of non-locality. Even in this simple initial scenario, one finds quite unexpected facts to the point that our intuition about local, classic…
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