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

Prevalence and shyness

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

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

  • If   is shy, then so is every subset of   and every translate of  
  • Every shy Borel set   admits a transverse measure that is finite and has compact support. Furthermore, this measure can be chosen so that its support has arbitrarily small diameter.
  • Any finite or countable union of shy sets is also shy. Analogously, countable intersection of prevalent sets is prevalent.
  • Any shy set is also locally shy. If   is a separable space, then every locally shy subset of   is also shy.
  • A subset   of  -dimensional Euclidean space   is shy if and only if it has Lebesgue measure zero.
  • Any prevalent subset   of   is dense in  
  • If   is infinite-dimensional, then every compact subset of   is shy.

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

  • Almost every continuous function from the interval   into the real line   is nowhere differentiable; here the space   is   with the topology induced by the supremum norm.
  • Almost every function   in the   space   has the property that
     
    Clearly, the same property holds for the spaces of  -times differentiable functions  
  • For   almost every sequence   has the property that the series
     
    diverges.
  • Prevalence version of the Whitney embedding theorem: Let   be a compact manifold of class   and dimension   contained in   For   almost every   function   is an embedding of  
  • If   is a compact subset of   with Hausdorff dimension     and   then, for almost every   function     also has Hausdorff dimension  
  • For   almost every   function   has the property that all of its periodic points are hyperbolic. In particular, the same is true for all the period   points, for any integer  

References

  • Hunt, Brian R. (1994). "The prevalence of continuous nowhere differentiable functions". Proc. Amer. Math. Soc. 122 (3). American Mathematical Society: 711–717. doi:10.2307/2160745. JSTOR 2160745.
  • Hunt, Brian R. and Sauer, Tim and Yorke, James A. (1992). "Prevalence: a translation-invariant "almost every" on infinite-dimensional spaces". Bull. Amer. Math. Soc. (N.S.). 27 (2): 217–238. arXiv:math/9210220. doi:10.1090/S0273-0979-1992-00328-2. S2CID 17534021.{{cite journal}}: CS1 maint: multiple names: authors list (link)