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arXiv preprints from January 1, 2026 through September 7, 2026 — 08:45:14 EST

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Posted in math.GT · 2026-08-31 · Christian Kremer

On the Nielsen realisation problem for cyclic groups of prime order

We solve the Nielsen realisation problem for high-dimensional aspherical manifolds in a new class of special cases. Mainly, we focus on actions of cyclic groups of prime order. A novelty is that it gives topological solutions to the problem with certain high-dimensional fixed point sets, whereas previous solutions of this type were...

💬 0 commentsarXiv:2608.30620v1PDF
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Posted in math.OC · 2026-08-31 · Adil Bagirov, Vivek Laha, Juan Enrique Martínez-Legaz

A method for global minimization of nonconvex quadratic functions

The problem of global minimization of nonconvex quadratic functions subject to box constraints is studied. Applying Gershgorin theorem we reduce the main matrix A to its diagonal form which is used to obtain difference of convex representation of the quadratic function. Then ε-subdifferentials of DC components are studied and used to...

💬 0 commentsarXiv:2608.30611v1PDF
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Posted in math.NT · 2026-08-31 · Ruida Di

Joint Equidistribution of Subspaces of Bounded Height in Rigid Adelic Spaces

For every $1\le d<n$, we prove joint equidistribution, as the height tends to infinity, of $d$-dimensional $K$-subspaces in a rigid adelic space over a number field $K$, together with their archimedean Grassmannian images and the $K$-linear isometry classes of the normalized subspace and quotient. We identify the leading constant,...

💬 0 commentsarXiv:2608.30608v1PDF
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Posted in math.CO · 2026-08-31 · Samuil Petkov

A Full-Sequence Quantitative Gap Between the Chromatic and Cochromatic Numbers of a Random Graph

Let $ζ(G)$ denote the minimum number of parts in a partition of $V(G)$ in which every part induces either a clique or an independent set. Erdős and Gimbel asked whether, for $G_n\sim G(n,1/2)$, the difference $χ(G_n)-ζ(G_n)$ tends to infinity with high probability. We resolve this problem along the full sequence $n\to\infty$ and prove...

💬 0 commentsarXiv:2608.30604v1PDF
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Posted in math.AP · 2026-08-31 · Han Cheng, Changxing Miao, Xiaohua Yao

Endpoint Mapping Properties of Wave Operators for Two-Dimensional Schrödinger Operators

We establish sharp endpoint mapping properties for the wave operators $W_\pm(H,-Δ)$ of two-dimensional Schrödinger operators $H=-Δ+V$ with real-valued decaying potentials $V$. Together with the known non-endpoint $L^p$ theory, our results give a complete classification of the $L^p$ mapping properties of the two-dimensional wave...

💬 0 commentsarXiv:2608.30602v1PDF
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Posted in math.CO · 2026-08-31 · Anshu Agarwal, Biplab Basak

The Homotopy Types of the Independence and Perfect Matching Complex of Möbius Ladder Graph

The independence complex and the perfect matching complex of a graph are simplicial complexes encoding, respectively, its independent sets and perfect matchings. Determining the homotopy types and other topological properties of these complexes is, in general, a difficult problem, and explicit descriptions are known only for...

💬 0 commentsarXiv:2608.30601v1PDF
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Posted in math.CV · 2026-08-31 · Molla Basir Ahamed, Rajesh Hossain

Schwarzian norm estimates for some classes of analytic and harmonic mappings

Let $\mathcal{A}$ be the normalized class of analytic functions $f$ in the unit disc $\mathbb{D} := \{z \in \mathbb{C} : \vert{}z\vert{} < 1\}$. For $β> 1$, let $\mathcal{N}(β)$ denote the subclass of $\mathcal{A}$ satisfying $\text{Re}\{1 + z f''(z)/f'(z)\} < β$ for $z \in \mathbb{D}$. The main purpose of this paper is to establish...

💬 0 commentsarXiv:2608.30595v1PDF
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Posted in math.FA · 2026-08-31 · Hassan Hedayati Rad, Tayebe Lal Shateri

Infinite Matrix Operators and $E$-Frames in Hilbert Spaces

The concept of an $E$-frame, recently introduced in frame theory, is obtained by applying an infinite invertible complex matrix to a sequence of elements of a Hilbert space $\mathcal{H}$. Here, $E$ is considered as a matrix mapping on the sequence space $\bigoplus_{n=1}^{\infty}\mathcal{H}$. A natural question is to determine the...

💬 0 commentsarXiv:2608.30592v1PDF
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Posted in math.FA · 2026-08-31 · Hicham Tarif, Nadir Maaroufi

Vector-Valued Wavelet Bases as Hilbert $\mathbb{M}_m(\mathbb{R})$-Module Bases: A Construction from Scalar Wavelets

Vector-valued multiscale representations are essential when signals or fields take values in $\mathbb{R}^m$ and component interactions carry meaningful information. Most multiwavelet and super-wavelet constructions are formulated in scalar Hilbert-space settings and typically produce channelwise scalar coefficients followed by...

💬 0 commentsarXiv:2608.30589v1PDF
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Posted in math.KT · 2026-08-31 · Eugenio Landi

An Abstract Index Theorem via Rees Algebras

We develop a purely algebraic framework for index-type theorems based on the Rees construction for filtered differential graded algebras (FDGAs). Alongside the classical Rees module we introduce a smooth variant $C^ω_{\mathcal{R}}A$, adapted to analytic arguments, and we study traces and their pointwise and coefficient-wise extensions...

💬 0 commentsarXiv:2608.30587v1PDF
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Posted in math.AP · 2026-08-31 · Zhenxin Liu, Wenhu Zhong

The flexible part of intermittent Onsager theorem for the two-dimensional stochastic incompressible Euler equations

This work is concerned with the flexible part of Onsager theorem for the two-dimensional stochastic incompressible Euler equations. We develop a stochastic and intermittent variant of the Newton--Nash iteration scheme, which incorporates new stochastic pressure, Reynolds stress and intermittency perturbations to formalize the...

💬 0 commentsarXiv:2608.30582v1PDF
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Posted in math.PR · 2026-08-31 · Tong Ye, Liu-Quan Yao, Shuai Yuan, Guanghui Wang

A Finite-Entropy Criterion for the Entropic Conditional Central Limit Theorem

We prove a finite-entropy criterion for the entropic conditional central limit theorem. Let $(ξ_i,η_i)_{i\geq 1}$ be independent copies of a pair $(ξ,η)$, and set $W_n=n^{-1/2}\sum_{i=1}^n ξ_i$ and $\boldsymbolη_n=(η_1,\ldots,η_n)$. Under the assumptions that $\mathbb{E}\operatorname{Var}(ξ\midη)<\infty$ and that the conditional law...

💬 0 commentsarXiv:2608.30579v1PDF
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Posted in math.AP · 2026-08-31 · J. I. Dıaz, J. Hernandez, Y. Ilyasov

Compactly Supported Solutions near a Nehari Critical Value

We study non-negative solutions of the indefinite sublinear Dirichlet problem $$ \left \{\ \begin{array}{ll} -Δu=λu+m(x)|u|^{α-1}u&\quad\hbox{ in $Ω$},\\ u=0&\quad \hbox{ on $\partial Ω$}, \end{array} \right . $$ where $Ω\subset \mathbb{R}^{N}$ is a smooth bounded domain, $0<α<1$, $m\in L^{\infty }(Ω)$ is a sign-changing or...

💬 0 commentsarXiv:2608.30578v1PDF
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Posted in math.AG · 2026-08-31 · Yifan Li, Zijia Li, Ke Ye

Kempe factorizations for rational curves on $\operatorname{SO}_4(\mathbb{R})$

We study constructive Kempe factorizations for rational curves on $\operatorname{SO}_4(\mathbb{R})$. Motivated by motion-polynomial factorization and rational matrix curves on real classical groups, we prove that every rational curve of degree $2d$ with $d\ge1$ first factors into $d$ quadratic rational curves and then into a product...

💬 0 commentsarXiv:2608.30577v1PDF
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Posted in math.NT · 2026-08-31 · Antonio Cauchi, Eric Yen-Yo Chen, Armando Gutierrez Terradillos

Relative Langlands duality of the Bump-Friedberg-Ginzburg $\mathrm{GSO}_6$-integral

We provide a new instance of singular relative Langlands duality, underlying a Rankin-Selberg integral on $\mathrm{GSO}_6$ due to Bump-Friedberg-Ginzburg. We conclude that this integral represents an essentially self-dual object in the relative Langlands program, and we demonstrate that the Langlands dual automorphic integral computes...

💬 0 commentsarXiv:2608.30576v1PDF
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Posted in math.CA · 2026-08-31 · Ushangi Goginava

A Counterexample to Belinsky's Conjecture on Cesàro Means at Lebesgue Points

In 1997, Belinsky conjectured that, for convex subsequences, the logarithmic growth condition of Carleson, Trigub, and Zagorodniĭ is necessary and sufficient for the arithmetic means of subsequential Fourier partial sums to converge at every Lebesgue point of every integrable function. We disprove the sufficiency part of this...

💬 0 commentsarXiv:2608.30575v1PDF
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Posted in math.OC · 2026-08-31 · Min-Chi Wang, Ruey-Lin Sheu, Huu-Quang Nguyen

Last two pieces of the puzzle for unsolvability of a system of two quadratic (in)equalities

Given two quadratic functions \( f(x) = x^T Ax + 2a^T x + a_0 \) and \( g(x) = x^T Bx + 2b^T x + b_0 ,\) each associated with either the strict inequality ($<0$); non-strict inequality ($\leq 0$); or the equality ($=0$), it is a fundamental question to ask whether or not the joint system has a solution. For homogeneous quadratic...

💬 0 commentsarXiv:2608.30571v1PDF
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Posted in stat.AP · 2026-08-31 · Manganaw N'Daam, Edoh Katchekpele, Tchilabalo Abozou Kpanzou

Long-Memory Estimation and Fractionally Integrated Modeling of White Maize Prices in Togo

Agricultural commodity prices often exhibit strong temporal persistence, which may limit the performance of conventional time series models. This study investigates long memory in logarithmic monthly white maize prices from six major markets in Togo between January 2001 and June 2022. Long memory is examined using the...

💬 0 commentsarXiv:2608.30569v1PDF
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Posted in stat.ML · 2026-08-31 · Fariborz Setoudehtazang, Geoffrey J. McLachlan

Informative Label Missingness in Multiclass Classification Information Geometry and Excess Risk

Informative label missingness can change the usual efficiency ordering between completely and partially labelled classifiers because the pattern of missing labels may itself carry information about the classification model. We develop a general likelihood-based theory for this phenomenon in parametric multiclass classification. An...

💬 0 commentsarXiv:2608.30561v1PDF
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Posted in cs.LG · 2026-08-31 · Weijia Han, Lisha Qu

When the Martingale Never Stops Firing: Anytime-Valid Gating on Real Forecast Streams

Machine learning systems are increasingly corrected while they run, and the decision of when to intervene is increasingly delegated to statistical monitors. Anytime-valid inference promises evidence that can be acted on at any moment, exactly the guarantee this setting needs, and it is moving from theory into deployed monitoring....

💬 0 commentsarXiv:2608.30502v1PDF
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Posted in cs.LG · 2026-08-31 · Kihun Rhee

Confounding Masquerading as Improvement: A Systematic Evaluation of Offline Reinforcement Learning for Stroke Antithrombotic Treatment in a 129,000-Patient Registry

Recent offline reinforcement learning (RL) studies report policies that outperform physician decisions on clinical outcomes. We conduct a systematic, partially crossed evaluation of five offline RL algorithm families and 14 reward designs in 44,894 post-2018 acute ischemic stroke patients from a nationwide registry (N = 129,033). ...

💬 0 commentsarXiv:2608.30442v1PDF
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Posted in stat.ME · 2026-08-31 · Bosen Cui, Yuhong Yang, Fan Yang

Power and sample size calculations for causal mediation analysis with a binary mediator in randomized trials

Mediation analyses are increasingly conducted in randomized trials, but a sample size adequate for the total treatment effect may leave the natural indirect effect (NIE) or natural direct effect (NDE) substantially underpowered. Randomization does not extend to the mediator, so precision depends on the conditional mediator...

💬 0 commentsarXiv:2608.30412v1PDF
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Posted in cs.LG · 2026-08-31 · Esha Saha, Hao Wang

Learning PDE Time-Stepping with Neural Cellular Automata

Classical numerical solvers for partial differential equations (PDEs) are computationally expensive to solve repeatedly across varying initial conditions, motivating the need for learned surrogates. In this paper, we propose a trainable Neural Cellular Automata (NCA) based surrogate model for learning long time PDE dynamics. Rather...

💬 0 commentsarXiv:2608.30328v1PDF
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Posted in stat.ML · 2026-08-31 · Mingzhi Song

Estimating Population-Risk Curves Along Nonconvex Gradient Flows from the Training Sample

We estimate the conditional population-risk curve of a realized smooth nonconvex gradient flow from the training sample. Flow approximate leave-one-out (Flow-ALO) propagates a deletion response and evaluates omitted observations at approximate deleted paths. The risk-curve error decomposes into response approximation, exact-LOO...

💬 0 commentsarXiv:2608.30261v1PDF