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Minimum KL-divergence on complements of L1 balls

    Research output: Contribution to journalArticlepeer-review

    12 Scopus citations

    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.

    Original languageEnglish
    Article number6746175
    Pages (from-to)3172-3177
    Number of pages6
    JournalIEEE Transactions on Information Theory
    Volume60
    Issue number6
    DOIs
    StatePublished - 1 Jan 2014

    Keywords

    • McDiarmid's inequality
    • Pinsker's inequality
    • Sanov's theorem

    ASJC Scopus subject areas

    • Information Systems
    • Computer Science Applications
    • Library and Information Sciences

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