Lerche–Newberger sum rule

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In mathematics, in particular in measure theory, an inner measure is a function on the set of all subsets 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

An inner measure is a function

φ:2X[0,],

defined on all subsets of a set X, that satisfies the following conditions:

φ()=0
φ(AB)φ(A)+φ(B).
  • Limits of decreasing towers: For any sequence {Aj} of sets such that AjAj+1 for each j and φ(A1)<
φ(j=1Aj)=limjφ(Aj)
  • Infinity must be approached: If φ(A)= for a set A then for every positive number c, there exists a B which is a subset of A such that,
cφ(B)<

The inner measure induced by a measure

Let Σ be a σ-algebra over a set X and μ be a measure on Σ. Then the inner measure μ* induced by μ is defined by

μ*(T)=sup{μ(S):SΣ and ST}.

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

  1. μ*(∅)=0,
  2. μ* is non-negative,
  3. If EF then μ*(E) ≤ μ*(F).

Measure completion

Mining Engineer (Excluding Oil ) Truman from Alma, loves to spend time knotting, largest property developers in singapore developers in singapore and stamp collecting. Recently had a family visit to Urnes Stave Church. Induced inner measures are often used in combination with outer measures to extend a measure to a larger σ-algebra. If μ is a measure defined on σ-algebra Σ over X and μ* and μ* are corresponding induced outer and inner measures, then the sets T ∈ 2X such that μ*(T) = μ*(T) form a σ-algebra Σ^ with ΣΣ^. The set function μ̂ defined by

μ^(T)=μ*(T)=μ*(T),

for all TΣ^ is a measure on Σ^ known as the completion of μ.

References

  • 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)