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4 - Lipschitz functions and embeddings

Published online by Cambridge University Press:  05 February 2015

Pekka Koskela
Affiliation:
University of Jyväskylä, Finland
Nageswari Shanmugalingam
Affiliation:
University of Cincinnati
Jeremy T. Tyson
Affiliation:
University of Illinois, Urbana-Champaign
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Summary

In this chapter, we gather further miscellaneous basic results that will be used in later chapters. We discuss Lipschitz functions, extension and embedding theorems, Hausdorff measures, lower semicontinuous functions, and functions of bounded variation with values in an arbitrary metric space.

Lipschitz functions, extensions, and embeddings

A function f : XY from a metric space X = (X, dX) to a metric space Y = (Y, dY) is said to be L-Lipschitz if there exists a constant L ≥ 0 such that

dY(f(a), f(b)) ≤ LdX(a, b)

for each pair of points a, bX. We also say that a function is Lipschitz if it is L-Lipschitz for some L. The smallest L such that (4.1.1) holds for each pair of points a, bX is called the Lipschitz constant of f.

If f : XY is a Lipschitz bijection whose inverse is also Lipschitz, we say that f is a bilipschitz map between X and Y and that X and Y are bilipschitz equivalent. The term L-bilipschitz is self-explanatory. A 1-bilipschitz map is an isometry. Two metric spaces are isometric if there is an isometry between them. We also say that X admits a bilipschitz embedding into Y if there is a bilipschitz embedding of X into Y. Recall that an embedding is a map that is a homeomorphism onto its image; this concept was used earlier, in Section 3.3. A 1-bilipschitz embedding is called an isometric embedding. If X admits an isometric embedding into Y, we often suppress the embedding from the notation and write XY.

We say that a function f : XY is locally Lipschitz if every point in X has a neighborhood such that the restriction of f to this neighborhood is Lipschitz. The term locally L-Lipschitz means that these restrictions are L-Lipschitz.

Lipschitz functions play a central role in the theory of Sobolev spaces as developed in this book. In particular, in general spaces Lipschitz functions constitute an important substitute for smooth functions. We will prove, for example, that in many interesting cases locally Lipschitz functions are dense in a Sobolev space. To this end, in the present chapter we will study the density of Lipschitz functions in other situations.

Type
Chapter
Information
Sobolev Spaces on Metric Measure Spaces
An Approach Based on Upper Gradients
, pp. 98 - 120
Publisher: Cambridge University Press
Print publication year: 2015

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