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arXiv 2512.05045hep-thgr-qc
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关于三维引力的随机矩阵统计

On random matrix statistics of 3d gravity

Jefferson Physical Laboratory, Harvard University(杰斐逊物理实验室,哈佛大学)

Daniel L. Jafferis, Liza Rozenberg, Debmalya Sarkar, Diandian Wang

AI总结:

本文研究了三维引力在特定流形上的随机矩阵模型,揭示了其与Virasoro最小弦模型的关系,并通过路径积分验证了随机矩阵表达式。

摘要:

我们展示三维引力在拓扑上为黎曼面乘以区间Σ_{g,n}×I的流形上,可通过随机矩阵模型,即Virasoro最小弦模型描述。由于这些流形具有n个环形渐近边界,路径积分自然对应于开放弦的谱相关函数。对于g=0和n=2的情况,我们进行了显式路径积分并发现与通用随机矩阵表达式有精确的一致性。对于欧拉特征数为负的黎曼面,我们评估路径积分为两个Virasoro TQFT制备状态之间的引力内积。在此过程中,我们澄清了规范化映射类群的效果及其与chiral 3d引力的联系。

英文摘要:

We show that 3d gravity on manifolds that are topologically a Riemann surface times an interval $Σ_{g,n}\times I$ with end-of-the-world branes at the ends of the interval is described by a random matrix model, namely the Virasoro minimal string. Because these manifolds have $n$ annular asymptotic boundaries, the path integrals naturally correspond to spectral correlators of open strings upon inverse Laplace transforms. For $g=0$ and $n=2$, we carry out an explicit path integration and find precise agreement with the universal random matrix expression. For Riemann surfaces with negative Euler characteristic, we evaluate the path integral as a gravitational inner product between states prepared by two copies of Virasoro TQFT. Along the way, we clarify the effects of gauging the mapping class group and the connection to chiral 3d gravity.

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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