In mathematics, in particular in measure theory, an inner measure is a function on the power set of a given set, with values in the extended real numbers, satisfying some technical conditions. Intuitively, the inner measure of a set is a lower bound of the size of that set.

Definition edit

An inner measure is a set function

 
defined on all subsets of a set   that satisfies the following conditions:
  • Null empty set: The empty set has zero inner measure (see also: measure zero); that is,
     
  • Superadditive: For any disjoint sets   and  
     
  • Limits of decreasing towers: For any sequence   of sets such that   for each   and  
     
  • If the measure is not finite, that is, if there exist sets   with  , then this infinity must be approached. More precisely, if   for a set   then for every positive real number   there exists some   such that
     

The inner measure induced by a measure edit

Let   be a σ-algebra over a set   and   be a measure on   Then the inner measure   induced by   is defined by

 

Essentially   gives a lower bound of the size of any set by ensuring it is at least as big as the  -measure of any of its  -measurable subsets. Even though the set function   is usually not a measure,   shares the following properties with measures:

  1.  
  2.   is non-negative,
  3. If   then  

Measure completion edit

Induced inner measures are often used in combination with outer measures to extend a measure to a larger σ-algebra. If   is a finite measure defined on a σ-algebra   over   and   and   are corresponding induced outer and inner measures, then the sets   such that   form a σ-algebra   with  .[1] The set function   defined by

 
for all   is a measure on   known as the completion of  

See also edit

  • Lebesgue measurable set – Concept of area in any dimension

References edit

  1. ^ Halmos 1950, § 14, Theorem F
  • Halmos, Paul R., Measure Theory, D. Van Nostrand Company, Inc., 1950, pp. 58.
  • A. N. Kolmogorov & S. V. Fomin, translated by Richard A. Silverman, Introductory Real Analysis, Dover Publications, New York, 1970, ISBN 0-486-61226-0 (Chapter 7)