Jensen's inequality states that, if , ..., are nonnegative real
numbers with sum 1, is a convex function
on an interval , and , then
(1)
If
is concave , then the inequality reverses, giving
(2)
The special case
and equal weights
with the concave function gives
(3)
which can be exponentiated to give the arithmetic
mean -geometric mean inequality
(4)
Here, equality holds iff .
For an integrable real random variable
taking values in an interval almost surely , let be a convex function
and assume
is also integrable . The expectation form is
(5)
where
denotes the expectation value (Viaclovsky 2003,
pp. 1-2; Boyd and Vandenberghe 2004, p. 77). The finite weighted form follows
by taking
for distinct
and combining weights when values coincide.
See also Concave Function ,
Convex
Function ,
Jensen's Formula
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References Boyd, S. and Vandenberghe, L. Convex Optimization. Cambridge, England: Cambridge University Press, 2004. https://web.stanford.edu/~boyd/cvxbook/bv_cvxbook.pdf . Gradshteyn,
I. S. and Ryzhik, I. M. Tables
of Integrals, Series, and Products, 6th ed. San Diego, CA: Academic Press,
p. 1101, 2000. Hardy, G. H.; Littlewood, J. E.; and Pólya,
G. "Some Theorems Concerning Monotonic Functions." §3.14 in Inequalities,
2nd ed. Cambridge, England: Cambridge University Press, pp. 83-84, 1988. Jensen,
J. L. W. V. "Sur les fonctions convexes et les inégalités
entre les valeurs moyennes." Acta Math. 30 , 175-193, 1906. Krantz,
S. G. "Jensen's Inequality." §9.1.3 in Handbook
of Complex Variables. Boston, MA: Birkhäuser, p. 118, 1999. Viaclovsky,
J. "Measure and Integration: Lecture 14." Notes prepared by E. Brown.
Cambridge, MA: Massachusetts Institute of Technology, Oct. 21, 2003. https://ocw.mit.edu/courses/18-125-measure-and-integration-fall-2003/6aa2562c8e9e459dd82775b0a4f01aea_18125_lec14.pdf . Referenced
on Wolfram|Alpha Jensen's Inequality
Cite this as:
Weisstein, Eric W. "Jensen's Inequality."
From MathWorld --A Wolfram Resource. https://mathworld.wolfram.com/JensensInequality.html
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