
We prove that the contraction coefficient for Jensen-Shannon divergence (JSD) achieves its supremum in the interior of the probability simplex, not at the vertices. This contradicts the long-standing folklore assumption that extremal behavior for f-divergences occurs at simplex vertices.
Jensen-Shannon divergence, binary channels, Dobrushin theorem, contraction coefficient, f-divergence, strong data processing inequality, information theory
Jensen-Shannon divergence, binary channels, Dobrushin theorem, contraction coefficient, f-divergence, strong data processing inequality, information theory
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
