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In this paper we provide a finite-sample and an infinite-sample representer theorem for the concatenation of (linear combinations of) kernel functions of reproducing kernel Hilbert spaces. These results serve as mathematical foundation for…

Machine Learning · Computer Science 2018-06-08 Bastian Bohn , Michael Griebel , Christian Rieger

In our previous article [arXiv:2307.12552], we introduced local topological order (LTO) axioms for quantum spin systems which allowed us to define a physical boundary manifested by a net of boundary algebras in one dimension lower. This…

Mathematical Physics · Physics 2025-06-26 Corey Jones , Pieter Naaijkens , David Penneys

We review recent work on holography for finite area causal diamonds and explore its implications for the description of such diamonds in the Anti-deSitter space Conformal Field Theory correspondence. We argue that the algebra of operators…

High Energy Physics - Theory · Physics 2023-08-28 Tom Banks

We present a machine learning framework to study the dynamics of entropy vectors and quantum resources, including entanglement and magic, focusing on violations of entropy inequalities. Using a reinforcement learning agent formulated as a…

Quantum Physics · Physics 2025-11-24 Nothando Khumalo , Aman Mehta , William Munizzi , Prineha Narang

Some quantum field theories show, in a fundamental or an effective manner, an alternative between a loss of duality for algebras of operators corresponding to complementary regions, or a loss of additivity. In this latter case, the algebra…

High Energy Physics - Theory · Physics 2020-03-18 Horacio Casini , Marina Huerta , Javier M. Magan , Diego Pontello

We consider the inverse problem for countable, locally finite electrical networks with edge weights in an arbitrary field. The electrical inverse problem seeks to determine the weights of the edges knowing only the potential and current…

Combinatorics · Mathematics 2016-05-31 David Jekel

Information theory provides principled ways to analyze different inference and learning problems such as hypothesis testing, clustering, dimensionality reduction, classification, among others. However, the use of information theoretic…

Machine Learning · Computer Science 2014-09-03 Luis G. Sanchez Giraldo , Murali Rao , Jose C. Principe

We consider quantum algebras of observables associated with subregions in theories of Einstein gravity coupled to matter in the $G_N\rightarrow 0$ limit. When the subregion is spatially compact or encompasses an asymptotic boundary, we…

High Energy Physics - Theory · Physics 2024-02-07 Kristan Jensen , Jonathan Sorce , Antony Speranza

We introduce a class of J-self-adjoint causal operator pencils whose spectral determinants exactly encode the local Euler factors of L-functions. Driven by a fractional causal kernel z^{-1/2}, these operators manifest a rigid arithmetic…

Number Theory · Mathematics 2026-05-20 Kejun Liu

We consider the problem of recovering the topology and the edge conductance value, as well as characterizing a set of electrical networks that satisfy the limitedly available Thevenin impedance measurements. The measurements are obtained…

Systems and Control · Electrical Eng. & Systems 2024-12-05 Shivanagouda Biradar , Deepak U Patil

We study the Hamiltonian truncation for the two-dimensional $\lambda\phi^4$ theory within the framework of Hamiltonian truncation effective theory, where truncation artifacts are mitigated through a systematic inclusion of corrective terms…

High Energy Physics - Phenomenology · Physics 2026-02-16 Andrea Maestri , Simone Rodini , Barbara Pasquini

We elucidate how Chern and topological insulators fulfill an area law for the entanglement entropy. By explicit construction of a family of lattice Hamiltonians, we are able to demonstrate that the area law contribution can be tuned to an…

Quantum Physics · Physics 2015-06-17 J. C. Budich , J. Eisert , E. J. Bergholtz

Tensor networks, $T\bar{T}$, and broader notions of a holographic principle all motivate the idea that some notion of gravitational holography should persist in the presence of a radial cutoff. But in the absence of time-reflection…

High Energy Physics - Theory · Physics 2021-02-03 Brianna Grado-White , Donald Marolf , Sean J. Weinberg

We obtain new invariants of topological link concordance and homology cobordism of 3-manifolds from Hirzebruch-type intersection form defects of towers of iterated p-covers. Our invariants can extract geometric information from an arbitrary…

Geometric Topology · Mathematics 2008-06-16 Jae Choon Cha

We introduce a family of reproducing kernel Hilbert spaces $\mathcal A_\Lambda$ of holomorphic functions defined on an infinite--dimensional domain in a separable Hilbert space, $\mathbb{H}$. The reproducing kernel of $\mathcal A_\Lambda$…

Mathematical Physics · Physics 2026-05-05 Dimitrios Giannakis , Mohammad Javad Latifi Jebelli , Michael Montgomery

Phase retrieval in real or complex Hilbert spaces is the task of recovering a vector, up to an overall unimodular multiplicative constant, from magnitudes of linear measurements. In this paper, we assume that the vector is normalized, but…

Probability · Mathematics 2019-11-19 Dylan Domel-White , Bernhard G. Bodmann

For an $m$-order $n-$dimensional Hilbert tensor (hypermatrix) $\mathcal{H}_n=(\mathcal{H}_{i_1i_2\cdots i_m})$, $$\mathcal{H}_{i_1i_2\cdots i_m}=\frac1{i_1+i_2+\cdots+i_m-m+1},\ i_1,\cdots, i_m=1,2,\cdots,n$$ its spectral radius is not…

Spectral Theory · Mathematics 2014-01-22 Yisheng Song , Liqun Qi

The isotropic harmonic oscillator and the Kepler-Coulomb system are pivotal models in the Sciences. They are two examples of second-order (maximally) superintegrable (Hamiltonian) systems. These systems are classified in dimension two. A…

Differential Geometry · Mathematics 2026-01-21 Jeremy Nugent , Andreas Vollmer

We establish endpoint bounds on a Hardy space $H^1$ for a natural class of multiparameter singular integral operators which do not decay away from the support of rectangular atoms. Hence the usual argument via a Journ\'e-type covering lemma…

Classical Analysis and ODEs · Mathematics 2018-03-06 Odysseas Bakas , Eric Latorre , Diana Cristina Rincón Martínez , James Wright

Network (or matrix) reconstruction is a general problem which occurs if the margins of a matrix are given and the matrix entries need to be predicted. In this paper we show that the predictions obtained from the iterative proportional…

Methodology · Statistics 2019-09-05 Michael Lebacher , Göran Kauermann