Sequential selection of a monotone subsequence from a random permutation
Authors:
Peichao Peng and J. Michael Steele
Journal:
Proc. Amer. Math. Soc. 144 (2016), 4973-4982
MSC (2010):
Primary 60C05, 60G40, 90C40; Secondary 60F99, 90C27, 90C39
DOI:
https://doi.org/10.1090/proc/13104
Published electronically:
April 20, 2016
MathSciNet review:
3544544
Full-text PDF Free Access
Abstract | References | Similar Articles | Additional Information
Abstract: We find a two term asymptotic expansion for the optimal expected value of a sequentially selected monotone subsequence from a random permutation of length $n$. A striking feature of this expansion is that it tells us that the expected value of optimal selection from a random permutation is quantifiably larger than optimal sequential selection from an independent sequence of uniformly distributed random variables; specifically, it is larger by at least $(1/6) \log n +O(1)$.
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Additional Information
Peichao Peng
Affiliation:
Department of Statistics, The Wharton School, University of Pennsylvania, 3730 Walnut Street, Philadelphia, Pennsylvania 19104
MR Author ID:
1082870
Email:
ppeichao@wharton.upenn.edu
J. Michael Steele
Affiliation:
Department of Statistics, The Wharton School, University of Pennsylvania, 3730 Walnut Street, Philadelphia, Pennsylvania 19104
MR Author ID:
166615
Email:
steele@wharton.upenn.edu
Keywords:
Monotone subsequence problem,
sequential selection,
online selection,
Markov decision problem,
nonlinear recursion,
prophet inequality
Received by editor(s):
September 15, 2015
Received by editor(s) in revised form:
January 2, 2016, and January 14, 2016
Published electronically:
April 20, 2016
Communicated by:
David Levin
Article copyright:
© Copyright 2016
American Mathematical Society