Cocompact imbeddings and structure of weakly convergent sequences
Kyril Tintarev

TL;DR
This paper develops a functional-analytic framework for the concentration compactness method in Banach spaces, introducing dislocation spaces and D-weak convergence to analyze minimizers in cocompact embeddings, especially in Sobolev spaces.
Contribution
It generalizes the concentration compactness method to Banach spaces using dislocation spaces and D-weak convergence, extending applicability to non-compact Sobolev embeddings.
Findings
Decomposition of bounded sequences into profiles with D-weak convergence.
Extension of weak convergence arguments to cocompact embeddings.
Application to Sobolev spaces on unbounded domains and manifolds.
Abstract
Concentration compactness method is a powerful techniques for establishing existence of minimizers for inequalities and of critical points of functionals in general. The paper gives a functional-analytic formulation for the method in Banach space, generalizing the Hilbert space case elaborated in \cite{ccbook}. The key object is a dislocation space - a triple , where is a convex functional that defines a norm on Banach space , and is a group of isometries on . Bounded sequences in dislocation spaces admit a decomposition into an asymptotic sum "profiles" dislocated by actions of , that is, a sum of the form , , while the remainder term converges weakly under actions of any sequence ({\em -weak convergence}). This decomposition allows to extend the weak convergence argument from variational…
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Taxonomy
TopicsApproximation Theory and Sequence Spaces · Analytic and geometric function theory · Fuzzy and Soft Set Theory
