Discrete dynamical models: combinatorics, statistics and continuum approximations

TL;DR

This paper explores how combinatorial and discrete models of dynamical systems can approximate continuous physics and quantum mechanics, providing constructive insights and explanations for complex quantum phenomena.

Contribution

It introduces a framework linking combinatorial models to continuous physics concepts and offers a constructive approach to quantum behavior and gauge theories.

Findings

Continuous symmetries emerge from large combinatorial structures

Quantum mechanics' complex numbers can be naturally explained

Discrete models can approximate quantum evolution

Abstract

This essay advocates the view that any problem that has a meaningful empirical content, can be formulated in constructive, more definitely, finite terms. We consider combinatorial models of dynamical systems and approaches to statistical description of such models. We demonstrate that many concepts of continuous physics --- such as continuous symmetries, the principle of least action, Lagrangians, deterministic evolution equations --- can be obtained from combinatorial structures as a result of the large number approximation. We propose a constructive description of quantum behavior that provides, in particular, a natural explanation of appearance of complex numbers in the formalism of quantum mechanics. Some approaches to construction of discrete models of quantum evolution that involve gauge connections are discussed.