Part 8 - Elliott Lieb: "Understanding entropy without probability"

Probabilistic models can be very effective for calculating entropy. Examples include the awesome agreement between Pauling's model of the residual entropy of ice and the careful experiment of Giauque and Stout. Nevertheless, it is important to realize that models are not needed to understand the definition and properties of thermodynamic entropy, especially the remarkable fact of 'additivity', which relates the entropies of totally unrelated systems. A fundamental theory of entropy as an indicator of the possibility of adiabatic processes was provided by Jakob Yngvason and myself in the last century and will be reviewed briefly.
Elliott Lieb is professor for mathematics and physics at the Princeton University.
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1. Lead 00:00:00
2. Basics of entropy 00:00:08
3. Adiabatic accessibility. The entropy principle 00:09:15
4. The miracle of additivity. Axioms needed 00:16:22
5. Construction of the entropy function S 00:28:19

[@tolifeandlearning3919]

Great lecture

[@hmmob3956]

23:32 He states that gravity is not additive with much gravity (in particular at 23:38).