Lecture
This lecture covers the definition and properties of Gibbs's entropy, its relation to Shannon information entropy, and the connection with information theory. It explores how to define entropy in non-equiprobable scenarios, the Gibbs entropy formula in the canonical ensemble, and the information content of events. The lecture also discusses the implications of Gibbs's entropy as a principle, considering non-interacting subsystems and the overall Gibbs entropy.