BOUNDS ON THE EXPECTATION OF A CONVEX FUNCTION OF A RANDOM VARIABLE,

Abstract

Suppose that f is a convex function defined on the interval I = (a, b) where b>a. Let X be a random variable defined on I whose expectation E(X) is finite. Upper and lower bounds for the expectation E(f(X)) are derived using the theory of moment spaces. The lower bound obtained agrees with that of classical analysis, while the upper bound is believed to be a new result. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 09, 1957
Accession Number
AD0605117

Entities

People

  • H. P. Edmundson

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Intervals
  • Mathematics
  • Random Variables

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.

Technology Areas

  • Space