论文标题
通过流动诱导的超译本修改动态黑洞的鹰温度
Modification to the Hawking temperature of a dynamical black hole by a flow-induced supertranslation
论文作者
论文摘要
解决黑洞信息损失悖论的一个有趣的提议是无需修改一般相对论或量子场理论的一个有趣的建议,即柔软的头发,这是一种记录渐近区域各向异性辐射的差异性电荷。但是,该提案已受到挑战,鉴于远离来源,软头发的表现是形成Abelian群体的坐标转换,因此无法存储任何信息。为了保持柔软的头发的精神,但要绕过这些障碍,我们认为霍克的辐射是对黑洞蒸发的整个历史敏感的探针,在该探测器上,柔软的头发在地平线上是通过吸收无效的各向异性流动的吸收,从而概括了Hawking等人认为震惊的波。为此,我们引入了与柔软的头发相关的两种不同时间依赖性的膨胀,其中一个是各向异性无效的无效的反应,另一个是坐标转换,会产生异型效应和多普勒向鹰派转移。它们一起在整个歧管上形成了精确的BMS电荷发生器,该发生器允许对黑洞地平线进行非扰动分析,该分析的表面重力(即鹰温度温度)已被修改。修改取决于衰减率为4M的零流动的各向异性的指数平均值,这表明出现了新的2-D自由度,这可能是摆脱信息损失悖论的一种方式。
One interesting proposal to solve the black hole information loss paradox without modifying either general relativity or quantum field theory, is the soft hair, a diffeomorphism charge that records the anisotropic radiation in the asymptotic region. This proposal, however, has been challenged, given that away from the source the soft hair behaves as a coordinate transformation that forms an Abelian group, thus unable to store any information. To maintain the spirit of the soft hair but circumvent these obstacles, we consider Hawking radiation as a probe sensitive to the entire history of the black hole evaporation, where the soft hairs on the horizon are induced by the absorption of a null anisotropic flow, generalizing the shockwave considered by Hawking et al. To do so we introduce two different time-dependent extensions of the diffeomorphism associated with the soft hair, where one is the backreaction of the anisotropic null flow, and the other is a coordinate transformation that produces the Unruh effect and a Doppler shift to the Hawking spectrum. Together, they form an exact BMS charge generator on the entire manifold that allows the nonperturbative analysis of the black hole horizon, whose surface gravity, i.e. the Hawking temperature, is found to be modified. The modification depends on an exponential average of the anisotropy of the null flow with a decay rate of 4M, suggesting the emergence of a new 2-D degree of freedom on the horizon, which could be a way out of the information loss paradox.