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

  • 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 edit

  • 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)