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Mathematics

arXiv preprints from January 1, 2026 through September 22, 2026 — 10:13:38 EST

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Posted in math.FA · 2026-01-03 · Tin T. Tran, Phung T. Huynh

On phase and norm retrieval by subspaces

This paper studies phase and norm retrieval by subspaces. We first investigate norm retrieval by hyperplanes. We show that if $N$ hyperplanes $\{\varphi_i^\perp\}_{i=1}^N\subset \mathbb{R}^N$ allow norm retrieval and the vectors $\{\varphi_i\}_{i=1}^N$ are linearly independent, then these vectors must be an orthonormal basis for...

💬 0 commentsarXiv:2601.01111v1PDF
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Posted in math-ph · 2026-01-03 · Kenichi Ito, Tomoya Tagawa

Low energy resolvent estimates for slowly decaying attractive potentials

We discuss the low energy resolvent estimates for the Schrödinger operator with slowly decaying attractive potential. The main results are Rellich's theorem, the limiting absorption principle and Sommerfeld's uniqueness theorem. For the proofs we employ an elementary commutator method due to Ito--Skibsted, for which neither of...

💬 0 commentsarXiv:2601.01102v1PDF
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Posted in math.AP · 2026-01-03 · Li Chen, Li Wang

Normalized Solutions for Schrödinger-Bopp-Podolsky Systems with Critical Choquard-Type Nonlinearity on Bounded Domains

In this paper, we study normalized solutions for the following critical Schrödinger-Bopp-Podolsky system: $$-Δu + q(x)φu = λu + |u|^{p-2}u + \bigl(I_α* |u|^{3+α}\bigr)|u|^{1+α}u,\quad \text{in } Ω_r,$$ $$-Δφ+ Δ^2φ= q(x)u^2, \ \qquad\qquad\qquad\qquad\qquad\qquad\qquad\ \text{ in } Ω_r,$$ where $Ω_r \subset \mathbb R^3$ is a smooth...

💬 0 commentsarXiv:2601.01098v1PDF
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Posted in math.SP · 2026-01-03 · Zeguang Liu, Xin-Jian Xu

The inverse eigenvalue problems for perturbed Bessel operator with mixed data

We consider inverse eigenvalue problems for the perturbed Bessel operator in $L^{2}(0,1)$. (1) For the case where the angular-momentum quantum number $\ell\in\mathbb{N}\cup\{0\}$, we establish a uniqueness result for the inverse spectral problem by utilizing the closedness condition of a certain function system constructed based on...

💬 0 commentsarXiv:2601.01093v1PDF
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Posted in math.HO · 2026-01-03 · Michael J. W. Hall

Matrices with integer eigenvalues for all permutations of coefficients (thanks to Pythagoras!)

It is shown that Pythagorean triples can be used to generate matrices that have integer eigenvalues for all permutations of their coefficients, via simple formulas. For example, each and every permutation of the $2\times2$ matrix coefficients $\{12,6,7,1\}$, generated by the Pythagorean triple $(5,12,13)$, yields a matrix with integer...

💬 0 commentsarXiv:2601.01083v2PDF
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Posted in math.NA · 2026-01-03 · Yuyang Liu, Hua Su, Zixiang Xiao, Lei Zhang, Jin Zhao

SaddleScape V1.0: A Python Package for Constructing Solution Landscapes via High-index Saddle Dynamics

We present SaddleScape V1.0, a Python software package designed for the exploration and construction of solution landscapes in complex systems. The package implements the High-index Saddle Dynamics (HiSD) framework and its variants, including the Generalized HiSD for non-gradient systems and the Accelerated HiSD. SaddleScape V1.0...

💬 0 commentsarXiv:2601.01081v1PDF
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Posted in math.GR · 2026-01-03 · Ihechukwu Chinyere

On the non-existence of finite groups with certain normal subgroups

Problem 20.21 of Mazurov and Khukhro (Unsolved Problems in Group Theory: The Kourovka Notebook, 20th Issue, 2022), contributed by M.~Conder and attributed to G.~Verret, asks whether there exists a finite group $G$ with two normal subgroups $K$ and $L$ of index $12$ such that $K \cong L$, but with non-isomorphic quotients $G/K \cong...

💬 0 commentsarXiv:2601.01080v2PDF
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Posted in math.NA · 2026-01-03 · Zhijun Zeng, Jianlong Chen

Flow Matching Transport for Quasi-Monte Carlo Integration

High-dimensional integration with respect to complex target measures remains a fundamental challenge in computational science. While Flow Matching (FM) offers a powerful paradigm for constructing continuous-time transport maps, its deployment in high-precision integration is severely limited by the discretization bias inherent to...

💬 0 commentsarXiv:2601.01072v1PDF
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Posted in math.AG · 2026-01-03 · Yusuke Ohmiya

Wall in the stability space of the gluing stability conditions on Hirzebruch surfaces

This paper investigates the wall structure of the space of stability conditions on Hirzebruch surfaces. Using the gluing construction of \cite{CP} and \cite{Uch} with respect to a fixed semiorthogonal decomposition, we focus on two main objectives: observing the intersection of the geometric chamber $U(S) \subset \mathrm{Stab}(Σ_e)$...

💬 0 commentsarXiv:2601.01063v2PDF
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Posted in math.GR · 2026-01-03 · Changqian Li

Finite Stature in Graphs of Cube Complexes with Cyclonormal Edges

Given a compact cube complex $X$ that splits as a graph of virtually special cube complexes. Suppose that the fundamental groups of edge spaces are cyclonormal in the fundamental groups of adjacent vertex spaces. We show that $π_1X$ has finite stature with respect to vertex groups in the sense of Huang-Wise. In particular, when vertex...

💬 0 commentsarXiv:2601.01057v1PDF
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Posted in math.ST · 2026-01-03 · Koustav Mallik

Quotient EM under Misspecification:Tight Local Rates and Finite-Sample Bounds in General Integral Probability Metrics

We study the expectation-maximization (EM) algorithm for general latent-variable models under (i) distributional misspecification and (ii) nonidentifiability induced by a group action. We formulate EM on the quotient parameter space and measure error using an arbitrary integral probability metric (IPM). Our main results give (a) a...

💬 0 commentsarXiv:2601.01051v1PDF
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Posted in math.FA · 2026-01-03 · Pablo Berná, Daniel Freeman, Timur Oikhberg, Mitchell Taylor

Maximal inequalities, frames and greedy algorithms

The aim of this article is to use Banach lattice techniques to study coordinate systems in function spaces. We begin by proving that the greedy algorithm of a basis is order convergent if and only if a certain maximal inequality is satisfied. We then show that absolute frames need not admit a reconstruction algorithm with respect to...

💬 0 commentsarXiv:2601.01047v1PDF
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Posted in math.PR · 2026-01-03 · Jürgen Angst, Oanh Nguyen, Guillaume Poly

Convergence of higher derivatives of random polynomials with independent roots

Let $μ$ be a probability measure on $\mathbb C$, and let $P_n$ be the random polynomial whose zeros are sampled independently from $μ$. We study the asymptotic distribution of zeros of high-order derivatives of $P_n$. We show that, for large classes of measures $μ$, the empirical distribution of zeros of the $k$-th derivative...

💬 0 commentsarXiv:2601.01212v1PDF
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Posted in math.CO · 2026-01-03 · H. Tracy Hall

The Delta Theorem: a dimension bound for faithful orthogonal graph representations

In 1987 Hiroshi Maehara conjectured that a graph can be represented by vectors considered adjacent when not orthogonal (a faithful orthogonal representation) in codimension the minimum degree of the graph. Without settling the conjecture, Làslò Lovàsz, Michael Saks, and Alexander Schrijver (LSS) showed that a codimension of vertex...

💬 0 commentsarXiv:2601.01211v1PDF
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Posted in math.SP · 2026-01-03 · Alexandru Chirvasitu

The combinatorics of permuting and preserving curve-bound spectra

We prove that continuous spectrum- and commutativity-preserving maps to $\mathcal{M}_n(\mathbb{C})$ from the space of normal (real or complex) $n\times n$, $n\ge 3$ matrices with spectra contained in a given continuous-injection interval image $Λ\subseteq \mathbb{C}$ or $\mathbb{R}$ are (a) conjugations; (b) transpose conjugations, or...

💬 0 commentsarXiv:2601.01208v2PDF
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Posted in math.CA · 2026-01-03 · Seung-Yeon Ryoo

On oscillator death in the Winfree model

We show that for the standard sinusoidal Winfree model, a coupling strength exceeding twice the maximal magnitude of the intrinsic frequencies guarantees the convergence of the system for Lebesgue almost every initial data. This is proven by first showing, via an order parameter bootstrapping argument, that the pathwise critical...

💬 0 commentsarXiv:2601.01203v2PDF
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Posted in math.FA · 2026-01-03 · Valentin V. Andreev, Miron B. Bekker, Joseph A. Cima

Remark Concerning Cesáro Operator on the Hardy Space $H^p(\mathbb{C}_+)$ in the Upper Half-Plane

We consider Cesáro operator on the Hardy space $H^p(\mathbb{C}_+)$ in the upper half-plane for $1<p<\infty$. In \cite{AS} it was proved that for all $1<p<\infty$ the spectrum of the operator $V=\frac{2(p-1)}{p}C-I$ is located on the unit circle and in \cite{ABC1} the authors of this note showed that for $p=2$ operator $V$ is unitary....

💬 0 commentsarXiv:2601.01201v1PDF
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Posted in math.FA · 2026-01-03 · Zhangjian Hu, Xiaofen Lv

Absolutely summing Hankel operators on Fock spaces and the Berger-Coburn phenomenon

In this paper, for $1 \leq p, r < \infty$ we characterize those symbols $f$ so that the induced Hankel operators $H_f$ are $r$-summing from Fock spaces $F^p_α$ to $L^p_α$. The main result shows that the $r$-summing norm of $H_f$ is equivalent to the $\mathrm{IDA}^{κ, p}$-norm of $f$, where $κ$ is a positive number determined by $p$...

💬 0 commentsarXiv:2601.01197v1PDF
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Posted in math.CO · 2026-01-03 · S. P. Leka Amruthavarshini, R. Rajkumar

Adjacency-diametrical matrix of a graph

The adjacency-diametrical matrix (AD matrix) of a connected graph $G$ with diameter $d$, denoted by $AD(G)$, is the matrix indexed by the vertices of $G$ in which the $(i,j)$-entry of $AD(G)$ is $1$ if $d_G(v_i,v_j)=1$, is $d$ if $d_G(v_i,v_j)=d$, and $0$ otherwise, where $d_G(v_i,v_j)$ denotes the distance between the vertices $v_i$...

💬 0 commentsarXiv:2601.01193v1PDF
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Posted in math.PR · 2026-01-03 · Chenguang Liu, Liping Xu, An Zhang

Central limit theorem for a partially observed interacting system of Hawkes processes I: subcritical case

We consider a system of $N$ Hawkes processes and observe the actions of a subpopulation of size $K \le N$ up to time $t$, where $K$ is large. The influence relationships between each pair of individuals are modeled by i.i.d.Bernoulli($p$) random variables, where $p \in [0,1]$ is an unknown parameter. Each individual acts at a {\it...

💬 0 commentsarXiv:2601.01189v1PDF
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Posted in math.RT · 2026-01-03 · Zhenxing Di, Liping Li, Li Liang

Representations of generalized linear Reedy categories and abelian model structures

In this paper we consider representations of generalized $k$-linear Reedy categories $\underline{\mathscr{C}}$, a common generalization of $k$-linear Reedy categories introduced by Georgiois-Št'ovíček and $k$-linearizations of generalized Reedy categories introduced by Berger-Moerdijk, and construct abelian model structures on...

💬 0 commentsarXiv:2601.01187v1PDF
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Posted in math.OC · 2026-01-03 · Zhongyuan Cao, Kaustav Das, Nicolas Langrené, Mathieu Laurière

Scalable method for mean field control with kernel interactions via random Fourier features

We develop a scalable algorithm for mean field control problems with kernel interactions by combining particle system simulations with random Fourier feature approximations. The method replaces the quadratic-cost kernel evaluations by linear-time estimates, enabling efficient stochastic gradient descent for training feedback controls...

💬 0 commentsarXiv:2601.01175v2PDF
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Posted in math.LO · 2026-01-03 · Lorenzo Notaro

Open Colorings and Baumgartner's Axiom

We construct a model of $\mathsf{MA_{\aleph_1}}+\mathsf{OCA}_T$ where Baumgartner's Axiom fails, settling a question of Farah. Moreover, in the same model there is an $\aleph_1$-dense set of reals which is neither reversible nor increasing, answering a question of Marun, Shelah, and Switzer.

💬 0 commentsarXiv:2601.01166v2PDF
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Posted in math.DS · 2026-01-03 · Małgorzata Moczurad, Piotr Zgliczyński

Central Configurations with Unequal Masses: Finiteness in Several Exceptional Cases of Five Bodies

We provide a computer-assisted proof of the exact count of classes of central configurations for five bodies for several sets of mass values that are exceptional from the point of view of the finiteness results of Albouy and Kaloshin in the planar case and of Hampton and Jensen in the spatial case.

💬 0 commentsarXiv:2601.01165v1PDF