TY - GEN
T1 - Entropy under Additive Bernoulli and Spherical Noises
AU - Ordentlich, Or
AU - Polyanskiy, Yury
N1 - Publisher Copyright: © 2018 IEEE.
PY - 2018/8/15
Y1 - 2018/8/15
N2 - Let Z^{n} be iid Bernoulli (\delta) and U^{n} be uniform on the set of all binary vectors of weight \delta n (Hamming sphere). As is well known, the entropies of Z^{n} and U^{n} are within O(\log n). However, if X^{n} is another binary random variable independent of Z^{n} and U^{n}, we show that H(X^{n}+U^{n}) and H(X^{n}+Z^{n}) are within O(\sqrt{n}) and this estimate is tight. The bound is shown via coupling method. Tightness follows from the observation that the channels x^{n}\mapsto x^{n}+U^{n} and x^{n}\mapsto x^{n}+Z^{n} have similar capacities, but the former has zero dispersion. Finally, we show that despite the \sqrt{n} slack in general, the Mrs. Gerber Lemma for H(X^{n}+U^{n}) holds with only an O(\log n) correction compared to its brethren for H(X^{n}+Z^{n}).
AB - Let Z^{n} be iid Bernoulli (\delta) and U^{n} be uniform on the set of all binary vectors of weight \delta n (Hamming sphere). As is well known, the entropies of Z^{n} and U^{n} are within O(\log n). However, if X^{n} is another binary random variable independent of Z^{n} and U^{n}, we show that H(X^{n}+U^{n}) and H(X^{n}+Z^{n}) are within O(\sqrt{n}) and this estimate is tight. The bound is shown via coupling method. Tightness follows from the observation that the channels x^{n}\mapsto x^{n}+U^{n} and x^{n}\mapsto x^{n}+Z^{n} have similar capacities, but the former has zero dispersion. Finally, we show that despite the \sqrt{n} slack in general, the Mrs. Gerber Lemma for H(X^{n}+U^{n}) holds with only an O(\log n) correction compared to its brethren for H(X^{n}+Z^{n}).
UR - https://www.scopus.com/pages/publications/85052445492
U2 - 10.1109/ISIT.2018.8437589
DO - 10.1109/ISIT.2018.8437589
M3 - Conference contribution
SN - 9781538647806
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 521
EP - 525
BT - 2018 IEEE International Symposium on Information Theory, ISIT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Symposium on Information Theory, ISIT 2018
Y2 - 17 June 2018 through 22 June 2018
ER -