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arXiv 2007.01315gr-qchep-th
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粗粒化自旋泡沫量子引力--综述

Coarse graining spin foam quantum gravity -- a review

Sebastian Steinhaus

摘要:

在量子引力中,我们设想重整化是弥合微观模型和可观测尺度之间差距的关键工具。对于自旋泡沫量子引力,它是在类似于格点规范理论的离散化上定义的,目标是从较细的离散化动力学中推导出较粗的离散化的有效理论,在这个过程中粗粒化系统,从而在不同尺度上关联物理。在这篇综述中,我将讨论研究自旋泡沫量子引力中的重整化的动机,例如,为了恢复量子态对称性,并解释如何定义重整化的背景独立设置制定它的边界数据。我将通过研究一个具体示例的粗粒化并将其扩展到自旋泡沫设置来激发边界数据的重要性。这将很自然地引导我到目前用于重整化自旋泡沫量子引力的方法,如张量网络重整化,以及对最近结果的讨论。最后,我将概述未来的前景和研究方向。

英文摘要:

In quantum gravity, we envision renormalization as the key tool for bridging the gap between microscopic models and observable scales. For spin foam quantum gravity, which is defined on a discretisation akin to lattice gauge theories, the goal is to derive an effective theory on a coarser discretisation from the dynamics on the finer one, coarse graining the system in the process and thus relating physics at different scales. In this review I will discuss the motivation for studying renormalization in spin foam quantum gravity, e.g. to restore diffeomorphism symmetry, and explain how to define renormalization in a background independent setting by formulating it in terms of boundary data. I will motivate the importance of the boundary data by studying coarse graining of a concrete example and extending this to the spin foam setting. This will naturally lead me to the methods currently used for renormalizing spin foam quantum gravity, such as tensor network renormalization, and a discussion of recent results. I will conclude with an overview of future prospects and research directions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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