Discrete mechanics: a sequential growth dynamics for causal sets, and a self-organization of particles

Abstract

A model of a discrete pregeometry on a microscopic scale is introduced. This model is a finite network of finite elementary processes. The mathematical description is a d-graph that is a generalization of a graph. This is the particular case of a causal set. The aim of this study is to construct the particles as emergent structures. The particles in this model must be cyclic processes. The general dynamics and several examples are given. A simple dynamics generates a hierarchy of cyclic processes. An algebraic representation of this dynamics is given. It is based on the algebra of creation and destruction operators. Loops are described by bosonic operators and causal connections are described by fermionic operators.

46 pages, 23 figures

References in corpus (5)

• A Classical Sequential Growth Dynamics for Causal Sets
• The causal set approach to quantum gravity
• Causal Sets: Discrete Gravity (Notes for the Valdivia Summer School)
• Spacelike distance from discrete causal order
• Quantum amplitudes are a consequence of elementary probability theory

Cited by in corpus (5)

• Discrete mechanics: a kinematics for a particular case of causal sets
• Discrete mechanics: a sequential growth dynamics for causal sets that is based on binary alternatives
• Unfaithful embedding of causal sets
• A sequential growth dynamics for a directed acyclic dyadic graph
• The dynamics of binary alternatives for a discrete pregeometry