2008/03/24 by Kyril Tintarev, Tintarev, Kyril
Decision Sciences · Mathematics · #35H20 #35H30 #35J20 #35J60 #35J70 #Analysis of PDEs (math.AP) #Analytic and geometric function theory #Approximation Theory and Sequence Spaces #FOS: Mathematics #Fuzzy and Soft Set Theory #math.AP #msc:35H20 #msc:35H30 #msc:35J20 #msc:35J60 #msc:35J70
paper · pdf · doi:10.48550/arxiv.0803.3326
arxiv created 2008/03/24 · openalex publication_date 2008/03/24 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 \citeccbook. The key object is a dislocation space - a triple (X,F,D), where F is a convex functional that defines a norm on Banach space X, and D is a group of isometries on X. Bounded sequences in dislocation spaces admit a decomposition into an asymptotic sum "profiles" w(n)∈ X dislocated by actions of D, that is, a sum of the form ∑ng(n)kw(n), g(n)k∈ D, while the remainder term converges weakly under actions of any sequence gk∈ D (\em D-weak convergence). This decomposition allows to extend the weak convergence argument from variational problems with compactness to problems where X is \em cocompactly (relatively to the group D) imbedded into a Banach space Y, that is, when every sequence D-weakly convergent in X is convergent in the norm of Y. We prove a general statement on existence of minimizers in cocompact imbeddings that applies, in particular to Sobolev imbeddings which lack compactness (unbounded domain, critical exponent) including the subelliptic Sobolev spaces and spaces over Riemannian manifolds.