LARGE DEVIATIONS FOR RANDOM PROJECTIONS OF lp BALLS

被引:23
作者
Gantert, Nina [1 ]
Kim, Steven Soojin [2 ]
Ramanan, Kavita [2 ]
机构
[1] Tech Univ Munich, Fak Math, Boltzmannstr 3, D-85748 Garching, Germany
[2] Brown Univ, Div Appl Math, Box F, Providence, RI 02912 USA
基金
美国国家科学基金会;
关键词
Large deviations; random projections; l(p)-balls; annealed and quenched large deviations; self-normalized large deviations; central limit theorem for convex sets; variational formula; EXCHANGEABLE RANDOM-VARIABLES; MODERATE DEVIATIONS; EMPIRICAL PROCESSES; RANDOM ENVIRONMENT; HIGH DIMENSION; RANDOM-WALKS; CONVEX-SETS; DISTRIBUTIONS; STABILITY; THEOREM;
D O I
10.1214/16-AOP1169
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Let p is an element of[ 1,infinity]. Consider the projection of a uniform random vector from a suitably normalized l(p) ball in R-n onto an independent random vector from the unit sphere. We show that sequences of such random projections, when suitably normalized, satisfy a large deviation principle (LDP) as the dimension n goes to infinity, which can be viewed as an annealed LDP. We also establish a quenched LDP (conditioned on a fixed sequence of projection directions) and show that for p is an element of (1,infinity] ( but not for p = 1), the corresponding rate function is "universal," in the sense that it coincides for " almost every" sequence of projection directions. We also analyze some exceptional sequences of directions in the "measure zero" set, including the sequence of directions corresponding to the classical Cramer's theorem, and show that those sequences of directions yield LDPs with rate functions that are distinct from the universal rate function of the quenched LDP. Lastly, we identify a variational formula that relates the annealed and quenched LDPs, and analyze the minimizer of this variational formula. These large deviation results complement the central limit theorem for convex sets, specialized to the case of sequences of l(p) balls.
引用
收藏
页码:4419 / 4476
页数:58
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