DocumentCode
109956
Title
Minimum KL-Divergence on Complements of
Balls
Author
Berend, Daniel ; Harremoes, Peter ; Kontorovich, Aryeh
Author_Institution
Dept. of Math. & Comput. Sci., Ben-Gurion Univ., Beer-Sheva, Israel
Volume
60
Issue
6
fYear
2014
fDate
Jun-14
Firstpage
3172
Lastpage
3177
Abstract
Pinsker´s widely used inequality upper-bounds the total variation distance ∥P - Q∥1 in terms of the Kullback-Leibler divergence D(P∥Q). Although, in general, a bound in the reverse direction is impossible, in many applications the quantity of interest is actually D*(v, Q)-defined, for an arbitrary fixed Q, as the infimum of D(P∥Q) over all distributions P that are at least v-far away from Q in total variation. We show that D*(v, Q) ≤ Cv2 + O(v3), where C = C(Q) = 1/2 for balanced distributions, thereby providing a kind of reverse Pinsker inequality. Some of the structural results obtained in the course of the proof may be of independent interest. An application to large deviations is given.
Keywords
information theory; probability; KL-divergence; Kullback-Leibler divergence; reverse Pinsker inequality; total variation distance; Abstracts; Atomic measurements; Equations; Extraterrestrial measurements; History; Information theory; Standards; McDiarmid´s inequality; Pinsker´s inequality; Sanov´s theorem;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2014.2301446
Filename
6746175
Link To Document