Concavity conjecture for entropy along normalized sums of log-concave variables
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.
References
Primary source
Keith Ball, Piotr Nayar and Tomasz Tkocz, “A reverse entropy power inequality for log-concave random vectors”, arXiv:1509.05926 (2015).
Progress summary
Never refreshed
Nothing recorded yet. Refresh searches the literature and the public web for attempts on this problem, and writes the first summary here.
Solutions 0
No solutions have been posted yet.