Dirac-Bergmann algorithm and canonical quantization of $k$-essence cosmology
Andrés Lueiza, Andronikos Paliathanasis, Nikolaos Dimakis
TL;DR
The paper develops a general canonical quantization scheme for $k$-essence cosmology using the Dirac-Bergmann algorithm to identify and classify constraints, perform a Dirac-bracket reduction, and obtain a reduced Hamiltonian that is purely kinetic. This leads to a Wheeler-DeWitt equation of massless Klein-Gordon type in a two-dimensional minisuperspace, illustrating a universal structure across $k$-essence theories. The tachyon sector with a constant potential is analyzed in detail, yielding analytic classical solutions and a tractable quantum problem; the choice of boundary conditions critically affects singularity avoidance and the possibility of phantom crossing via quantum tunneling. The work highlights the robustness of the quantum description across $k$-essence models while emphasizing the pivotal role of coordinate choices and boundary conditions in determining physical outcomes, with prospects for extending to nonconstant potentials.
Abstract
We develop a general canonical quantization scheme for $k$-essence cosmology in scalar-tensor theory. Utilizing the Dirac-Bergmann algorithm, we construct the Hamiltonian associated with the cosmological field equations and identify the first- and second-class constraints. The introduction of appropriate canonically conjugate variables with respect to Dirac brackets, allows for the canonical quantization of the model. In these new variables, the Hamiltonian constraint reduces to a quadratic function with no potential term. Its quantum realization leads to a Wheeler-DeWitt equation reminiscent of the massless Klein-Gordon case. As an illustrative example, we consider the action of a tachyonic field and investigate the conditions under which a phantom crossing can occur as a quantum tunneling effect. For the simplified constant potential case, we investigate the consequences of different boundary conditions on the singularity avoidance and to the mean expansion rate.
