Quantization of Constrained Systems
John R. Klauder

TL;DR
This paper reviews a projection-operator approach to quantize constrained systems, emphasizing a path-integral method that avoids common ambiguities and auxiliary variables, applicable to various types of constraints.
Contribution
It introduces a novel quantization procedure for constrained systems using path integrals with specific measures, eliminating the need for gauge fixing, delta functionals, and auxiliary variables.
Findings
Unified treatment of first- and second-class constraints
Elimination of gauge fixing and auxiliary variables
Application to reparameterization invariant models
Abstract
The present article is primarily a review of the projection-operator approach to quantize systems with constraints. We study the quantization of systems with general first- and second-class constraints from the point of view of coherent-state, phase-space path integration, and show that all such cases may be treated, within the original classical phase space, by using suitable path-integral measures for the Lagrange multipliers which ensure that the quantum system satisfies the appropriate quantum constraint conditions. Unlike conventional methods, our procedures involve no -functionals of the classical constraints, no need for dynamical gauge fixing of first-class constraints nor any average thereover, no need to eliminate second-class constraints, no potentially ambiguous determinants, as well as no need to add auxiliary dynamical variables expanding the phase space beyond its…
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Taxonomy
TopicsConstraint Satisfaction and Optimization
