Distance in Information and Statistical Physics III

Dear Colleagues,

The distance measures are fundamental tools in science, especially in information sciences and statistical physics. We need to quantify the extent of the approach of nonequilibrium states to an equilibrium one by using a divergence measure between the two states. Thus, the relative entropy helps our understanding of the asymptotic process of systems and serves to identify the difference. In information theory, much effort has been done to clarify information structures between various distance measures (entropies and divergences). To reflect growing interests and ongoing recent insights in these areas, we invite researchers to contribute to this renewed edition (Please see the previous edition at https://www.mdpi.com/si/entropy/distance-info-stat-physics). We use the term “distance”; however, you may regard it in a broad sense; geometry, divergence, discrimination, degree of irreversibility, the arrow of time, and all the rest. This Special Issue should provide a forum to present and discuss recent progress on topics listed in the keywords below and related areas.

Dr. Takuya Yamano
Guest Editor

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