Probing mass inflation in polymerized vacuum regular black holes via colliding null shells
Hongguang Liu, Ioannis Soranidis
TLDR
This paper investigates mass inflation in polymerized vacuum regular black holes, exploring the impact of quantum gravity's minimal length scale.
Key contributions
- Derived unique inner-extremal regular black hole solutions from polymerized vacuum, inspired by loop quantum gravity.
- Analyzed mass inflation in these black holes using colliding null shells near the inner horizon.
- Identified conditions for significant mass inflation and the impact of a minimal length scale (LQG motivated).
Why it matters
This paper offers new insights into black hole physics within quantum gravity, specifically regarding mass inflation. It helps understand the stability and properties of these exotic objects, connecting theoretical models with potential observable phenomena.
Original Abstract
We derive a class of inner-extremal regular black hole solutions characterized by a degenerate inner horizon. These geometries arise as polymerized vacuum configurations inspired by loop quantum gravity and constitute effective quantum-gravity solutions that admit a Birkhoff-type theorem, rendering them unique within the considered framework. We show that such inner-extremal horizon configurations exist only for a finely tuned value of the mass determined by the parameters of the theory. Building on this construction, together with the corresponding non-degenerate regular black hole solutions, we perform a generic analysis of the mass inflation phenomenon in four-dimensional spacetimes using a colliding null-shell setup near the inner horizon. We identify the conditions under which mass inflation becomes significant and examine how the presence of a minimal length scale affects this behavior, with particular emphasis on the case where such a scale is motivated by loop quantum gravity. Finally, we comment on the stability of these configurations under the null-shell perturbations considered in our analysis.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.