Concavity conjecture for entropy along normalized sums of log-concave variables
Concavity conjecture for entropy along normalized sums of log-concave variables
From papers
Let and be independent copies of a log-concave random variable, and let . Define
Concavity conjecture. The function is concave on . This conjecture proposes a stronger form of regularity for entropy under normalized sums of independent identically distributed log-concave variables. The source gives no evidence of resolution.
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Sources & referencesView supporting material
Primary source
Keith Ball, Piotr Nayar and Tomasz Tkocz, “A reverse entropy power inequality for log-concave random vectors”, arXiv:1509.05926 (2015).
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