Entropy estimation and information theory form the bedrock of our understanding of uncertainty and complexity in both natural and engineered systems. At its core, entropy quantifies the ...

This is a preview. Log in through your library . Abstract A gas relaxing into equilibrium is often taken to be a process in which a system moves from an “improbable” to a “probable” state. Given that ...

Information theory provides the fundamental framework for understanding and designing data compression algorithms. At its core lies the concept of entropy, a quantitative measure that reflects the ...

In this paper we consider drift and entropy growth for symmetric finitary random walks on finitely generated groups. We construct examples of various intermediate asymptotics of the drift for such ...