What is the current status of Tsallis entropy in entropy modeling?

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Tsallis entropy is currently viewed with skepticism due to its failure to satisfy the Second Law of Thermodynamics for q ≠ 1 and issues with defining it for systems at different temperatures. Despite this, the concept of transitioning from a Gaussian to a power-law perspective in statistical mechanics is considered significant. There is renewed interest in nonextensive statistics, particularly in relation to scale-free models and their applications in various fields, including economics. The discussion highlights the potential relevance of Tsallis's ideas in understanding complex systems with self-similar microstates. Overall, while Tsallis entropy has faced criticism, its foundational concepts may still hold value in contemporary entropy modeling discussions.
apeiron
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Anyone up with what is happening with Tsallis entropy?

I read intriguing but opaque accounts of his ideas a few years back but heard little since. Can anyone give a simple explanation where he fits in entropy modelling at the moment and how he is being received?
 
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apeiron said:
Anyone up with what is happening with Tsallis entropy?

I read intriguing but opaque accounts of his ideas a few years back but heard little since. Can anyone give a simple explanation where he fits in entropy modelling at the moment and how he is being received?

Well, as far as I understand and remember, that line of thought failed. Many objections were raised, in particular q-generalisation of entropy does not satisfy Second Law for q != 1 nor can it be defined for two systems with different temperature, or something like that - I can't remember exactly, but I have special issue of EPJ dedicated to nonextensive statistics, maybe there is some discussion there ... I'll be back =)
 
That might explain why things went quiet.

I could not follow Tsallis's own exposition clearly enough to even begin to see if it was flawed. But the general principle of switching from a gaussian static system perspective to a powerlaw expanding system one seems to be an important one in statistical mechanics.

It is an idea whose time may be ripe. For instance, there is the very entertaining Nassim Nicholas Taleb books on the economics of "mediocristan" and "extremistan". There is the rise of scalefree network models.

I had the impression that Tsallis (and Renyi?) were working on a scalefree model of entropy, so to speak.

Normal ideal gas type entropy models have a single scale (a single temperature, a gaussian average of microstates).

So what would be the story for entropy with microstates self-similar over all scales? A powerlaw expression of temperatures.
 
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