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Paley–Zygmund inequality : ウィキペディア英語版
Paley–Zygmund inequality
In mathematics, the Paley–Zygmund inequality bounds the
probability that a positive random variable is small, in terms of
its mean and variance (i.e., its first two moments). The inequality was
proved by Raymond Paley and Antoni Zygmund.
Theorem: If ''Z'' ≥ 0 is a random variable with
finite variance, and if 0 \le \theta \le 1, then
:
\operatorname( Z > \theta\operatorname() )
\ge (1-\theta)^2 \frac.

Proof: First,
:
\operatorname() = \operatorname + \operatorname.

The first addend is at most \theta \operatorname(), while the second is at most \operatorname()^ \operatorname( Z > \theta\operatorname())^ by the Cauchy–Schwarz inequality. The desired inequality then follows. ∎
== Related inequalities ==

The Paley–Zygmund inequality can be written as
:
\operatorname( Z > \theta \operatorname() )
\ge \frac()^2}.

This can be improved. By the Cauchy–Schwarz inequality,
:
\operatorname) \mathbf_} ]
\le \operatorname^ \operatorname( Z > \theta \operatorname() )^

which, after rearranging, implies that
:
\operatorname(Z > \theta \operatorname())
\ge \frac()^2}()^2}.

This inequality is sharp; equality is achieved if Z almost surely equals a positive constant, for example.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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