Irregular parameter dependence of numerical results in tensor renormalization group analysis

Abstract

We study the parameter dependence of numerical results obtained by the tensor renormalization group. We often observe an irregular behavior as the parameters are varied with the method, which makes it difficult to perform the numerical derivatives in terms of the parameter. With the use of two-dimensional Ising model we explicitly show that the sharp cutoff used in the truncated singular value decomposition causes this unwanted behavior when the level crossing happens between singular values below and above the truncation order as the parameters are varied. We also test a smooth cutoff, instead of the sharp one, as a truncation scheme and discuss its effects.

arXiv comment14 pages, 7 figures

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Cited by in corpus (1)

• Tensor network simulation for the frustrated $J_1$-$J_2$ Ising model on the square lattice