Spontaneous Vectorization in the Einstein-Maxwell-Vector Model
Guang-Zai Ye, Chong-Ye Chen, GuoYang Fu, Chao Niu, Cheng-Yong Zhang, and Peng Liu

TL;DR
This paper explores spontaneous vectorization in the Einstein-Maxwell-Vector model, introducing a new coordinate approach to resolve divergences, extending solution domains, and proposing a combined charge concept that enhances understanding of black hole thermodynamics and observable features.
Contribution
It presents a novel mechanism for vectorization, resolves divergence issues near horizons, and introduces a combined charge framework for analyzing black hole solutions in the EMV model.
Findings
Extended the domain of vectorized Reissner-Nordstr"om black holes.
Proposed a combined charge that captures black hole physics more effectively.
Found enhanced thermodynamic preference and distinctive light ring features.
Abstract
We investigate spontaneous vectorization in the Einstein-Maxwell-Vector (EMV) model, introducing a novel mechanism driven by the interplay between electromagnetic and vector fields. A key innovation in our work is the resolution of an apparent divergence in the vector field near the event horizon, achieved by employing a generalized coordinate transformation. This not only extends the domain of existence for vectorized Reissner-Nordstr\"om black holes (VRNBHs), but also refines the theoretical understanding of such solutions. We introduce a new concept of combined charge , which better captures the underlying physics of these black holes and provides a unified framework for analyzing thermodynamics and observable phenomena such as light ring structures. Our findings suggest that VRNBHs exhibit enhanced thermodynamic preference and distinctive light ring…
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Taxonomy
TopicsCosmology and Gravitation Theories · Relativity and Gravitational Theory · Advanced Thermodynamics and Statistical Mechanics
