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We consider the Laplacian on a periodic metric graph and obtain its decomposition into a direct fiber integral in terms of the corresponding discrete Laplacian. Eigenfunctions and eigenvalues of the fiber metric Laplacian are expressed…

Spectral Theory · Mathematics 2020-04-02 Evgeny Korotyaev , Natalia Saburova

Gapped fracton phases constitute a new class of quantum states of matter which connects to topological orders but does not fit easily into existing paradigms. They host unconventional features such as sub-extensive and robust ground state…

Strongly Correlated Electrons · Physics 2025-05-14 Yuan Xue , Pranay Gorantla , Zhu-Xi Luo

We prove the simplicity and analyticity of the eigenvalues of the cubic oscillator Hamiltonian,$H(\beta)=-d^2/dx^2+x^2+i\sqrt{\beta}x^3$,for $\beta$ in the cut plane $\C_c:=\C\backslash (-\infty, 0)$. Moreover, we prove that the spectrum…

Mathematical Physics · Physics 2015-06-03 Vincenzo Grecchi , André Martinez

We present a computer-assisted approach to coarse-graining the evolutionary dynamics of a system of nonidentical oscillators coupled through a (fixed) network structure. The existence of a spectral gap for the coupling network graph…

Statistical Mechanics · Physics 2015-05-28 Karthikeyan Rajendran , Ioannis G. Kevrekidis

Recent models for discrete euclidean quantum gravity incorporate a sum over simplicial triangulations. We describe an algorithm for simulating such models in general dimensions. As illustration we show results from simulations in four…

High Energy Physics - Lattice · Physics 2009-10-22 S. Catterall

To address the peculiarities of directed and/or signed graphs, new Laplacian operators have emerged. For instance, in the case of directionality, we encounter the magnetic operator, dilation (which is underexplored), operators based on…

Social and Information Networks · Computer Science 2024-06-04 Bruno Messias Farias de Resende

The Hodgkin-Huxley equations have described neuronal excitability for seventy years, yet their mathematical structure-gating exponents m3h and n4, exponential voltage dependencies, and bounded activation variables, has remained empirically…

Biological Physics · Physics 2026-01-22 Robert F. Melendy , Daniel H. Blue

We analyze the long distance behavior of the two-point functions for an interacting scalar $O(N)$ model in de Sitter spacetime. Following our previous work, this behavior is analyzed by analytic continuation of the Euclidean correlators,…

High Energy Physics - Theory · Physics 2018-10-05 Diana López Nacir , Francisco D. Mazzitelli , Leonardo G. Trombetta

Motivated by the theory of quantum waveguides, we investigate the spectrum of the Laplacian, subject to Dirichlet boundary conditions, in a curved strip of constant width that is defined as a tubular neighbourhood of an infinite curve in a…

Mathematical Physics · Physics 2009-11-07 David Krejcirik

We construct via usual graph theory a class of associative dialgebras as well as a class of coassociative L-coalgebras. Tiling of the (n^2,1)-De bruijn graphs are also obtained and constructions of cubical trialgebras, (notion defined by…

Quantum Algebra · Mathematics 2007-05-23 Philippe Leroux

It is shown that the square of the Dirac Hamiltonian with the isotropic mass-hedgehog potential in d dimensions is the number operator of fictitious bosons and fermions over d quantum states. This result allows one to obtain the complete…

Mesoscale and Nanoscale Physics · Physics 2015-03-17 Igor F. Herbut , Chi-Ken Lu

Based on the recent breakthrough of Huang (2019), we show that for any total Boolean function $f$, the deterministic query complexity, $D(f)$, is at most quartic in the quantum query complexity, $Q(f)$: $D(f) = O(Q(f)^4)$. This matches the…

Quantum Physics · Physics 2020-04-29 Scott Aaronson , Shalev Ben-David , Robin Kothari , Avishay Tal

Some mechanisms of cardiac arrhythmias can be presented as a composition of elementary acts of block and reflection on the contacts of homogeneous areas of the conducting tissue. For study this phenomena we use an axiomatic one-dimensional…

Other Quantitative Biology · Quantitative Biology 2021-07-06 Sergii Kovalchuk

We introduce a new family of closed differential forms naturally associated with minimal graphical submanifolds in Euclidean space, defined in arbitrary codimension. For each minimal graph, we construct an explicit closed form whose…

Differential Geometry · Mathematics 2026-04-07 Chung-Jun Tsai , Mu-Tao Wang

We have developed a deep neural network that reconstructs the shape of a polygonal domain given the first hundred of its Laplacian eigenvalues. Having an encoder-decoder structure, the network maps input spectra to a latent space and then…

Sound · Computer Science 2022-04-27 Yueqi Zhao , Michael M. Fogler

A digit function is presented which provides the $i$th-digit in base $p$ of any real number $x$. By means of this function, formulated within $\mathcal{B}$-calculus, the local, nonlocal and global dynamical behaviors of cellular automata…

Mathematical Physics · Physics 2015-02-04 Vladimir Garcia-Morales

We classify the cohomology classes of Lagrangian 4-planes $\P^4$ in a smooth manifold $X$ deformation equivalent to a Hilbert scheme of 4 points on a $K3$ surface, up to the monodromy action. Classically, the cone of effective curves on a…

Algebraic Geometry · Mathematics 2013-08-27 Benjamin Bakker , Andrei Jorza

The spectral properties of the Laplacian operator on ``small-world'' lattices, that is mixtures of unidimensional chains and random graphs structures are investigated numerically and analytically. A transfer matrix formalism including a…

Disordered Systems and Neural Networks · Physics 2009-10-31 Remi Monasson

We discuss spectral properties of the Laplacian with multiple ($N$) point interactions in two-dimensional bounded regions. A mathematically sound formulation for the problem is given within the framework of the self-adjoint extension of a…

Quantum Physics · Physics 2007-05-23 T. Shigehara , H. Mizoguchi , T. Mishima , Taksu Cheon

We study the space of functions computed by random-layered machines, including deep neural networks and Boolean circuits. Investigating the distribution of Boolean functions computed on the recurrent and layer-dependent architectures, we…

Machine Learning · Computer Science 2020-10-15 Alexander Mozeika , Bo Li , David Saad
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