View text source at Wikipedia


Prevalent and shy sets

In mathematics, the notions of prevalence and shyness are notions of "almost everywhere" and "measure zero" that are well-suited to the study of infinite-dimensional spaces and make use of the translation-invariant Lebesgue measure on finite-dimensional real spaces. The term "shy" was suggested by the American mathematician John Milnor.

Definitions

[edit]

Prevalence and shyness

[edit]

Let be a real topological vector space and let be a Borel-measurable subset of is said to be prevalent if there exists a finite-dimensional subspace of called the probe set, such that for all we have for -almost all where denotes the -dimensional Lebesgue measure on Put another way, for every Lebesgue-almost every point of the hyperplane lies in

A non-Borel subset of is said to be prevalent if it contains a prevalent Borel subset.

A Borel subset of is said to be shy if its complement is prevalent; a non-Borel subset of is said to be shy if it is contained within a shy Borel subset.

An alternative, and slightly more general, definition is to define a set to be shy if there exists a transverse measure for (other than the trivial measure).

Local prevalence and shyness

[edit]

A subset of is said to be locally shy if every point has a neighbourhood whose intersection with is a shy set. is said to be locally prevalent if its complement is locally shy.

Theorems involving prevalence and shyness

[edit]

In the following, "almost every" is taken to mean that the stated property holds of a prevalent subset of the space in question.

References

[edit]