essential range

In mathematics, particularly measure theory, the essential range, or the set of essential values, of a function is intuitively the 'non-negligible' range of the function: It does not change between two functions that are equal almost everywhere. One way of thinking of the essential range of a function is the set on which the range of the function is 'concentrated'.

Formal definition

Let (X,{\cal A},\mu) be a measure space, and let (Y,{\cal T}) be a topological space. For any ({\cal A},\sigma({\cal T}))-measurable function f:X\to Y, we say the essential range of f to mean the set

:\operatorname{ess.im}(f) = \left\{y\in Y\mid0<\mu(f^{-1}(U))\text{ for all }U\in{\cal T} \text{ with } y \in U\right\}.{{cite book |last1=Zimmer |first1=Robert J. |author1-link=Robert Zimmer |title=Essential Results of Functional Analysis |date=1990 |publisher=University of Chicago Press |isbn=0-226-98337-4 |page=2}}{{rp|at=Example 0.A.5}}{{cite book |last1=Kuksin |first1=Sergei |author1-link=Sergei B. Kuksin |last2=Shirikyan |first2=Armen |date=2012 |title=Mathematics of Two-Dimensional Turbulence |publisher=Cambridge University Press |isbn=978-1-107-02282-9 |page=292}}{{cite book |last1=Kon |first1=Mark A. |title=Probability Distributions in Quantum Statistical Mechanics |date=1985 |publisher=Springer |isbn=3-540-15690-9 |pages=74, 84}}

Equivalently, \operatorname{ess.im}(f)=\operatorname{supp}(f_*\mu), where f_*\mu is the pushforward measure onto \sigma({\cal T}) of \mu under f and \operatorname{supp}(f_*\mu) denotes the support of f_*\mu.{{cite book |last1=Driver |first1=Bruce |title=Analysis Tools with Examples |date=May 7, 2012 |page=327 |url=https://mathweb.ucsd.edu/~bdriver/240C-S2018/Lecture_Notes/2012%20Notes/240Lecture_Notes_Ver8.pdf}} Cf. Exercise 30.5.1.

=Essential values=

The phrase "essential value of f" is sometimes used to mean an element of the essential range of f.{{cite book |last1=Segal |first1=Irving E. |author1-link=Irving Segal |last2=Kunze |first2=Ray A. |author2-link=Ray Kunze |title=Integrals and Operators |date=1978 |publisher=Springer |isbn=0-387-08323-5 |page=106 |edition=2nd revised and enlarged}}{{rp|at=Exercise 4.1.6}}{{cite book |last1=Bogachev |first1=Vladimir I. |last2=Smolyanov |first2=Oleg G. |title=Real and Functional Analysis |date=2020 |publisher=Springer |isbn=978-3-030-38219-3 |series=Moscow Lectures |issn=2522-0314 |page=283}}{{rp|at=Example 7.1.11}}

Special cases of common interest

=''Y'' = '''C'''=

Say (Y,{\cal T}) is \mathbb C equipped with its usual topology. Then the essential range of f is given by

:\operatorname{ess.im}(f) = \left\{z \in \mathbb{C} \mid \text{for all}\ \varepsilon\in\mathbb R_{>0}: 0<\mu\{x\in X: |f(x) - z| < \varepsilon\}\right\}.{{cite book |last1=Weaver |first1=Nik |date=2013 |title=Measure Theory and Functional Analysis |publisher=World Scientific |isbn=978-981-4508-56-8 |page=142}}{{rp|at=Definition 4.36}}{{cite book |last1=Bhatia |first1=Rajendra |author1-link=Rajendra Bhatia |title=Notes on Functional Analysis |date=2009 |publisher=Hindustan Book Agency |isbn=978-81-85931-89-0 |page=149}}{{cite book |last1=Folland |first1=Gerald B. |author1-link=Gerald Folland |title=Real Analysis: Modern Techniques and Their Applications |date=1999 |publisher=Wiley |isbn=0-471-31716-0 |page=187}}{{rp|at=cf. Exercise 6.11}}{{cite book |last1=Rudin |first1=Walter |title=Real and complex analysis |date=1987 |publisher=McGraw-Hill |location=New York |isbn=0-07-054234-1 |edition=3rd}}{{rp|at=Exercise 3.19}}{{cite book |last1=Douglas |first1=Ronald G. |title=Banach algebra techniques in operator theory |date=1998 |publisher=Springer |location=New York Berlin Heidelberg |isbn=0-387-98377-5 |edition=2nd}}{{rp|Definition 2.61}}

In other words: The essential range of a complex-valued function is the set of all complex numbers z such that the inverse image of each ε-neighbourhood of z under f has positive measure.

=(''Y'',''T'') is discrete=

Say (Y,{\cal T}) is discrete, i.e., {\cal T}={\cal P}(Y) is the power set of Y, i.e., the discrete topology on Y. Then the essential range of f is the set of values y in Y with strictly positive f_*\mu-measure:

:\operatorname{ess.im}(f)=\{y\in Y:0<\mu(f^\text{pre}\{y\})\}=\{y\in Y:0<(f_*\mu)\{y\}\}.Cf. {{cite book |last1=Tao |first1=Terence |author1-link=Terence Tao |title=Topics in Random Matrix Theory |date=2012 |publisher=American Mathematical Society |isbn=978-0-8218-7430-1 |page=29}}{{rp|at=Example 1.1.29}}Cf. {{cite book |last1=Freedman |first1=David |author1-link=David A. Freedman |title=Markov Chains |date=1971 |publisher=Holden-Day |page=1}}Cf. {{cite book |last1=Chung |first1=Kai Lai |author1-link=Chung Kai-lai |title=Markov Chains with Stationary Transition Probabilities |date=1967 |publisher=Springer |page=135}}

Properties

  • The essential range of a measurable function, being the support of a measure, is always closed.
  • The essential range ess.im(f) of a measurable function is always a subset of \overline{\operatorname{im}(f)}.
  • The essential image cannot be used to distinguish functions that are almost everywhere equal: If f=g holds \mu-almost everywhere, then \operatorname{ess.im}(f)=\operatorname{ess.im}(g).
  • These two facts characterise the essential image: It is the biggest set contained in the closures of \operatorname{im}(g) for all g that are a.e. equal to f:

::\operatorname{ess.im}(f) = \bigcap_{f=g\,\text{a.e.}} \overline{\operatorname{im}(g)}.

  • The essential range satisfies \forall A\subseteq X: f(A) \cap \operatorname{ess.im}(f) = \emptyset \implies \mu(A) = 0.
  • This fact characterises the essential image: It is the smallest closed subset of \mathbb{C} with this property.
  • The essential supremum of a real valued function equals the supremum of its essential image and the essential infimum equals the infimum of its essential range. Consequently, a function is essentially bounded if and only if its essential range is bounded.
  • The essential range of an essentially bounded function f is equal to the spectrum \sigma(f) where f is considered as an element of the C*-algebra L^\infty(\mu).

Examples

  • If \mu is the zero measure, then the essential image of all measurable functions is empty.
  • This also illustrates that even though the essential range of a function is a subset of the closure of the range of that function, equality of the two sets need not hold.
  • If X\subseteq\mathbb{R}^n is open, f:X\to\mathbb{C} continuous and \mu the Lebesgue measure, then \operatorname{ess.im}(f)=\overline{\operatorname{im}(f)} holds. This holds more generally for all Borel measures that assign non-zero measure to every non-empty open set.

Extension

The notion of essential range can be extended to the case of f : X \to Y, where Y is a separable metric space.

If X and Y are differentiable manifolds of the same dimension, if f\in VMO(X, Y) and if \operatorname{ess.im} (f) \ne Y, then \deg f = 0.{{cite journal |last1=Brezis |first1=Haïm |last2=Nirenberg |first2=Louis |title=Degree theory and BMO. Part I: Compact manifolds without boundaries |journal=Selecta Mathematica |date=September 1995 |volume=1 |issue=2 |pages=197–263 |doi=10.1007/BF01671566}}

See also

References

{{reflist}}

  • {{cite book

| author = Walter Rudin

| author-link = Walter Rudin

| year = 1974

| title = Real and Complex Analysis

| url = https://archive.org/details/realcomplexanaly00rudi_0

| url-access = registration

| edition = 2nd

| publisher = McGraw-Hill

| isbn = 978-0-07-054234-1

}}

{{Measure theory}}

{{DEFAULTSORT:Essential Range}}

Category:Real analysis

Category:Measure theory