Dust collapse and bounce in spherically symmetric quantum-inspired gravity models
Douglas M. Gingrich
TL;DR
This work develops a covariant, dust-coupled, quantum-inspired gravity model for spherically symmetric collapse and derives modified LT B dynamics by solving the Hamiltonian constraints under dust-time and areal gauges. It provides a density evolution equation that generally yields inhomogeneous dust distributions and shows how quantum corrections can halt collapse, leading to a bounce at a finite radius and avoiding singularities. The authors analyze several representative metrics—Schwarzschild, loop-quantum-inspired variants, Simpson-Visser, and covariant loop black holes—to illustrate the bounce behavior and horizon structure, including cases with multiple apparent horizons. These results demonstrate that quantum-inspired corrections can convert black-hole formation into a non-singular black-hole to white-hole-like transition, with implications for covariant formulations of quantum gravity and the interpretation of horizons in highly curved spacetimes.
Abstract
We study the collapse and possible bounce of dust in quantum-inspired gravity models with spherical symmetry. Starting from a wide class of spherically symmetric spacetimes, we write down the covariant Hamiltonian constraints that under dynamical flow give rise to metrics of many spherically symmetric gravity models. Gravity is minimally coupled to a dust field. The constraint equations are solved for the Hamiltonian evolution and simple equations for the location of the outer boundary of the dust versus time and the apparent horizons in terms of shape functions are obtained. The dust density is not assumed to be homogeneous inside the collapsing ball. In many cases, the effective quantum gravity effects stop the collapse of the dust matter field, then causes the dust field to expand thus creating a bounce at a minimum radius and avoiding the classical singularity. Using this formalism, we examine several quantum-inspired gravity metrics to obtain bounce results either previously obtained by different methods or new results.
