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20232026
most citedThe Edge of Random Tensor Eigenvalues with Deviation

1 citations · 1 across the 8 of their papers we have counts for

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hep-th2026

Joint distributions of eigenvectors of symmetric random tensors

Naoki Sasakura

We compute the joint distributions of arbitrary numbers of eigenvectors of real and complex symmetric random tensors by the quantum field theoretical methods which were previously…

hep-th2025

Real eigenvalue/vector distributions of random real antisymmetric tensors

Nicolas Delporte, Giacomo La Scala, Naoki Sasakura +1

Real eigenpairs of a real antisymmetric tensor of order and dimension can be defined as pairs of a real eigenvalue and orthonormal -dimensional real eigenvectors. We…

hep-th2025

Renormalization group-like flows in randomly connected tensor networks

Naoki Sasakura

Randomly connected tensor networks (RCTN) are the dynamical systems defined by summing over all the possible networks of tensors. Because of the absence of fixed lattice structure,…

hep-th2024

Three cases of complex eigenvalue/vector distributions of symmetric order-three random tensors

Swastik Majumder, Naoki Sasakura

Random tensor models have applications in a variety of fields, such as quantum gravity, quantum information theory, mathematics of modern technologies, etc., and studying their sta…

hep-th2024★ 1 cited

The Edge of Random Tensor Eigenvalues with Deviation

Nicolas Delporte, Naoki Sasakura

The largest eigenvalue of random tensors is an important feature of systems involving disorder, equivalent to the ground state energy of glassy systems or to the injective norm of…

hep-th2024

Signed eigenvalue/vector distribution of complex order-three random tensor

Naoki Sasakura

We compute the signed distribution of the eigenvalues/vectors of the complex order-three random tensor by computing a partition function of a four-fermi theory, where signs are fro…

hep-th2024

Usefulness of signed eigenvalue/vector distributions of random tensors

Max Regalado Kloos, Naoki Sasakura

Quantum field theories can be applied to compute various statistical properties of random tensors. In particular signed distributions of tensor eigenvalues/vectors are the easiest,…

hep-th2023

Real eigenvector distributions of random tensors with backgrounds and random deviations

Naoki Sasakura

As in random matrix theories, eigenvector/value distributions are important quantities of random tensors in their applications. Recently, real eigenvector/value distributions of Ga…