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; however, 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 assumptions 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
We investigate the concept of entropy in probabilistic theories more general than quantum mechanics,...
In statistical thermodynamics the 2nd law is properly spelled out in terms of conditioned probabilit...
Thermodynamic entropy, as defined by Clausius, characterizes macroscopic observations of a system ba...
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...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics....
Entropy in thermodynamics is an extensive quantity, whereas standard methods in statistical mechanic...
We apply a certain unifying physical description of the results of Information Theory. Assuming that...
Entropy in the Maxwell-Boltzmann example of a gas with no potential may be mapped into a set of tria...
We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynam...
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...
We investigate the concept of entropy in probabilistic theories more general than quantum mechanics,...
In statistical thermodynamics the 2nd law is properly spelled out in terms of conditioned probabilit...
Thermodynamic entropy, as defined by Clausius, characterizes macroscopic observations of a system ba...
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...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
Entropy is ubiquitous in physics, and it plays important roles in numerous other disciplines ranging...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics...
In this thesis we study the informational underpinnings of thermodynamics and statistical mechanics....
Entropy in thermodynamics is an extensive quantity, whereas standard methods in statistical mechanic...
We apply a certain unifying physical description of the results of Information Theory. Assuming that...
Entropy in the Maxwell-Boltzmann example of a gas with no potential may be mapped into a set of tria...
We start with a clear distinction between Shannon’s Measure of Information (SMI) and the Thermodynam...
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...
We investigate the concept of entropy in probabilistic theories more general than quantum mechanics,...
In statistical thermodynamics the 2nd law is properly spelled out in terms of conditioned probabilit...
Thermodynamic entropy, as defined by Clausius, characterizes macroscopic observations of a system ba...