Regularization of matrices in the covariant derivative interpretation of matrix models
Keiichiro Hattori, Yuki Mizuno, Asato Tsuchiya

TL;DR
This paper develops a regularization method for matrices representing covariant derivatives in matrix models, enabling nonperturbative calculations of curved spacetimes like spheres and tori.
Contribution
It introduces a Berezin-Toeplitz quantization-based regularization for covariant derivatives in two dimensions within matrix models.
Findings
Regularization applied to $S^2$ and $T^2$ cases.
Facilitates numerical simulations of curved spacetimes.
Provides a finite matrix approximation for differential operators.
Abstract
We study regularization of matrices in the covariant derivative interpretation of matrix models, a typical example of which is the type IIB matrix model. The covariant derivative interpretation provides a possible way in which curved spacetimes are described by matrices, which are viewed as differential operators. One needs to regularize the operators as matrices with finite size in order to apply the interpretation to nonperturbative calculations such as numerical simulations. We develop a regularization of the covariant derivatives in two dimensions by using the Berezin-Toeplitz quantization. As examples, we examine the cases of and in details.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMatrix Theory and Algorithms
