When considering controversial thermodynamic scenarios such as Maxwell’s demon, it is often necessary to consider probabilistic mixtures of states. This raises the question of how, if at all, to assign entropy to them. The information-theoretic entropy is often used in such cases; how-ever, no general proof of the soundness of doing so has been given, and indeed some arguments against doing so have been presented. We offer a general proof of the applicability of the information-theoretic entropy to probabilistic mixtures of macrostates, making clear the as-sumptions on which it depends, in particular a probabilistic version of the Kelvin statement of the Second Law. We briefly discuss the interpretation of our result. 1
This book is the first one that provides a solid bridge between algorithmic information theory and s...
It is well known that the statistical mechanical theory of liquids has been lagging far behind the t...
Entropy in thermodynamics is an extensive quantity, whereas standard methods in statistical mechanic...
When considering controversial thermodynamic scenarios such as Maxwell's demon, it is often necessar...
In this paper, we analyze the relationship between entropy and information in the context of the mix...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics...
We investigate the concept of entropy in probabilistic theories more general than quantum mechanics,...
It is well known that a Shannon-based definition of information entropy leads in the classical case ...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics....
We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynam...
We apply a certain unifying physical description of the results of Information Theory. Assuming that...
We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynam...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
latex InfoStatPhys-unix.tex, 3 files, 2 figures, 32 pages http://www-spht.cea.fr/articles/T04/185Int...
Entropy in the Maxwell-Boltzmann example of a gas with no potential may be mapped into a set of tria...
This book is the first one that provides a solid bridge between algorithmic information theory and s...
It is well known that the statistical mechanical theory of liquids has been lagging far behind the t...
Entropy in thermodynamics is an extensive quantity, whereas standard methods in statistical mechanic...
When considering controversial thermodynamic scenarios such as Maxwell's demon, it is often necessar...
In this paper, we analyze the relationship between entropy and information in the context of the mix...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics...
We investigate the concept of entropy in probabilistic theories more general than quantum mechanics,...
It is well known that a Shannon-based definition of information entropy leads in the classical case ...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics....
We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynam...
We apply a certain unifying physical description of the results of Information Theory. Assuming that...
We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynam...
There are at least three distinct ways to conceptualize entropy: entropy as an extensive thermodynam...
latex InfoStatPhys-unix.tex, 3 files, 2 figures, 32 pages http://www-spht.cea.fr/articles/T04/185Int...
Entropy in the Maxwell-Boltzmann example of a gas with no potential may be mapped into a set of tria...
This book is the first one that provides a solid bridge between algorithmic information theory and s...
It is well known that the statistical mechanical theory of liquids has been lagging far behind the t...
Entropy in thermodynamics is an extensive quantity, whereas standard methods in statistical mechanic...