A prophet inequality for -bounded dependent random variables

被引:0
|
作者
Osekowski, Adam [1 ]
机构
[1] Univ Warsaw, Dept Math Informat & Mech, PL-02097 Warsaw, Poland
关键词
Prophet inequality; Optimal stopping; Bellman function; Best constants; INDEPENDENT RANDOM-VARIABLES; STOP RULE; EXPECTATIONS; TRANSFORMS; SEQUENCES; GAMBLER;
D O I
10.1007/s11117-014-0295-3
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Let X = (X-n)(n >= 1) be a sequence of arbitrarily dependent nonnegative random variables satisfying the boundedness condition sup(tau)EX(tau)(p) <= t, where t > 0,1 < p < infinity are fixed numbers and the supremum is taken over all finite stopping times of X. Let M = E sup(n) X-n and V = sup(tau) EX tau denote the expected supremum and the optimal expected return of the sequence X, respectively. We establish the prophet inequality M <= V + V/p - 1 log (te/V-p) and show that the bound on the right is the best possible. The proof of the inequality rests on Burkholder's method and exploits properties of certain special functions. The proof of the sharpness is somewhat indirect, but we also provide an indication how the extremal sequences can be constructed.
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页码:289 / 303
页数:15
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