Subsystems and time in quantum mechanics

TL;DR

This paper develops a framework where subsystems and time are defined internally within a closed quantum system, using a variational principle to derive deterministic subsystem dynamics without external time references.

Contribution

It introduces a novel approach to defining time as a functional of subsystem changes and derives subsystem dynamics from a stability principle, differing from existing interpretations.

Findings

Subsystem states can be unentangled tensor products in multiple ways

Time is defined internally as a functional of subsystem changes

Subsystem dynamics are deterministic and derived from a variational principle

Abstract

This paper investigates the relationship between subsystems and time in a closed nonrelativistic system of interacting bosons and fermions. It is possible to write any state vector in such a system as an unentangled tensor product of subsystem vectors, and to do so in infinitely many ways. This requires the superposition of different numbers of particles, but the theory can describe in full the equivalence relation that leads to a particle-number superselection rule in conventionally defined subsystems. Time is defined as a functional of subsystem changes, thus eliminating the need for any reference to an external time variable. The dynamics of the unentangled subsystem decomposition is derived from a variational principle of dynamical stability, which requires the decomposition to change as little as possible in any given infinitesimal time interval, subject to the constraint that the state of the total system satisfy the Schroedinger equation. The resulting subsystem dynamics is deterministic. This determinism is regarded as a conceptual tool that observers can use to make inferences about the outside world, not as a law of nature. The experiences of each observer define some properties of that observer's subsystem during an infinitesimal interval of time (i.e., the present moment); everything else must be inferred from this information. The overall structure of the theory has some features in common with quantum Bayesianism, the Everett interpretation, and dynamical reduction models, but it differs significantly from all of these. The theory of information described here is largely qualitative, as the most important equations have not yet been solved. The quantitative level of agreement between theory and experiment thus remains an open question.