arXiv · 1808.06929
Features of constrained entropic functional variational problems
Abstract
We describe in great generality features concerning constrained entropic, functional variational problems that allow for a broad range of applications. Our discussion encompasses not only entropies but, potentially, any functional of the probability distribution, like Fisher-information or relative entropies, etc. In particular, in dealing with generalized statistics in straightforward fashion one may sometimes find that the first thermal law $\frac{dS}{d\beta}=\beta\frac{d }{d\beta}$ seems to be not respected. We show here that, on the contrary, it is indeed obeyed by any system subject to a Legendre extremization process, i.e., in all constrained entropic variational problems.
Explore related subjects
Keep this discovery
A. R. Plastino, A. Plastino, M. C. Rocca. 2018-08-19. Features of constrained entropic functional variational problems. https://doi.org/10.1142/s0217984918502676
Cite the original work for its findings. Save a collection to share your selection of sources.