Cocompact embedding

In mathematics, cocompact embeddings are embeddings of normed vector spaces possessing a certain property similar to but weaker than compactness. Cocompactness has been in use in mathematical analysis since the 1980s, without being referred to by any name [1](Lemma 6),[2](Lemma 2.5),[3](Theorem 1), or by ad-hoc monikers such as vanishing lemma or inverse embedding.[4]

Cocompactness property allows to verify convergence of sequences, based on translational or scaling invariance in the problem, and is usually considered in the context of Sobolev spaces. The term cocompact embedding is inspired by the notion of cocompact topological space.

Definitions

Let G be a group of isometries on a normed vector space X. One says that a sequence (x_k)\subset X converges to x\in X G-weakly, if for every sequence (g_k)\subset G, the sequence g_k(x_k-x) is weakly convergent to zero.

A continuous embedding of two normed vector spaces, X\hookrightarrow Y is called cocompact relative to a group of isometries G on X if every G-weakly convergent sequence (x_k)\subset X is convergent in Y.[5]

An elementary example: cocompactness for \ell^\infty\hookrightarrow\ell^\infty

Embedding of the space \ell^\infty(\mathbb Z) into itself is cocompact relative to the group G of shifts (x_n)\mapsto (x_{n-j}), j\in\mathbb Z. Indeed, if (x_n)^{(k)}, k=1,2,\dots, is a sequence G-weakly convergent to zero, then x_{n_k}^{(k)}\to 0 for any choice of n_k. In particular one may choose n_k such that 2|x_{n_k}^{(k)}|\ge  \sup_n|x_n^{(k)}|=\|(x_n)^{(k)}\|_\infty, which implies that (x_{n})^{(k)}\to 0 in \ell^\infty.

Some known embeddings that are cocompact but not compact

References

  1. 1 2 E. Lieb, On the lowest eigenvalue of the Laplacian for the intersection of two domains. Invent. Math. 74 (1983), 441–448.
  2. 1 2 V. Benci, G. Cerami, Existence of positive solutions of the equation −Δu+a(x)u=u(N+2)/(N−2) in RN, J. Funct. Anal. 88 (1990), no. 1, 90–117.
  3. 1 2 S. Solimini, A note on compactness-type properties with respect to Lorentz norms of bounded subsets of a Sobolev space. Ann. Inst. H. Poincaré Anal. Non Linéaire 12 (1995), 319–337.
  4. 1 2 Terence Tao, A pseudoconformal compactification of the nonlinear Schrödinger equation and applications, New York J. Math. 15 (2009), 265–282.
  5. C. Tintarev, Concentration analysis and compactness, in: Adimuri, K. Sandeep, I. Schindler, C. Tintarev, editors, Concentration Analysis and Applications to PDE ICTS Workshop, Bangalore, January 2012, ISBN 978-3-0348-0372-4, Birkhäuser, Trends in Mathematics (2013), 117–141.
  6. 1 2 S. Jaffard, Analysis of the lack of compactness in the critical Sobolev embeddings. J. Funct. Anal. 161 (1999).
  7. Adimurthi, C. Tintarev, On compactness in the Trudinger–Moser inequality, Annali SNS Pisa Cl. Sci. (5) Vol. XIII (2014), 1–18.
  8. H. Bahouri, A. Cohen, G. Koch, A general wavelet-based profile decomposition in the critical embedding of function spaces, Confluentes Matematicae 3 (2011), 387–411.
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