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arXiv preprints from January 1, 2026 through September 11, 2026 — 18:54:15 EST

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Posted in math.AG · 2026-07-20 · Sanghoon Baek

Integral Weyl Invariants in Chow Characteristic Images of Spin and Special Clifford Groups

Let $G=\Spin(n)$ be the split spin group over an arbitrary field, with $n\ge7$. Extending a Steenrod-theoretic obstruction of Karpenko, we classify the recursively defined integral Weyl invariants $q_i$ in the Benson--Wood generating set that lie in the Chow characteristic image: the only such invariant is $q_3$ for $\Spin(10)$. We...

💬 0 commentsarXiv:2607.18188v1PDF
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Posted in math.PR · 2026-07-20 · Christopher D. Long

Small Counterexamples to the Gaussian Moments Conjecture

We give explicit complex polynomials $P,Q$ in three independent standard real Gaussian variables such that \[ {\mathbb E}(P^m)=0,\qquad {\mathbb E}(QP^m)=m!\neq0 \] for every $m\geq1$. In natural complex linear coordinates, $P$ has five terms and total degree $4$. Hence the Gaussian Moments Conjecture is false in every dimension...

💬 0 commentsarXiv:2607.18186v1PDF
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Posted in math.CA · 2026-07-20 · David Cruz-Uribe, Aapo Laukkarinen, Kabe Moen

On off-diagonal operators in matrix-weighted spaces

In this paper we prove matrix-weighted inequalities for fractional operators and their commutators. We do so by developing the theory of convex body domination for such operators. Using this approach we prove quantitative estimates for the fractional integral operator (or Riesz potential) and its commutators, and prove matrix-weighted...

💬 0 commentsarXiv:2607.18175v1PDF
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Posted in math.OC · 2026-07-20 · Lisha Chen

Improved Convergence Rate for Stochastic Multi-Gradient Descent: A Proof Discovered with AI

For smooth nonconvex stochastic multi-objective problems, stochastic multi-gradient descent (SMG) computes an approximate steepest common descent direction of the objectives from stochastic gradients. With unbiased, variance-bounded stochastic gradients, this note establishes a new convergence rate for SMG in terms of the squared...

💬 0 commentsarXiv:2607.18174v1PDF
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Posted in math.GR · 2026-07-20 · Matthew de Courcy-Ireland

Fricke's trace identity and spin groups

We give a proof of Fricke's trace identity using the exceptional spin double cover of an orthogonal group in four variables. We also explain how Fricke's identity is related to the double-angle formula from trigonometry as well as an identity for symplectic matrices.

💬 0 commentsarXiv:2607.18167v1PDF
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Posted in math.AT · 2026-07-20 · Jackson Morris

Periodic phenomena in stable motivic homotopy theory

In this survey, we study how tools from stable homotopy theory have manifested and impacted motivic homotopy theory. In particular, we discuss various motivic Adams spectral sequences, periodicity in the motivic stable homotopy groups of spheres, and synthetic spectra. We conclude with many problems for future investigation.

💬 0 commentsarXiv:2607.18165v1PDF
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Posted in cs.LG · 2026-07-20 · Yi-Ping Chen, Ying-Kuan Tsai, Vispi Karkaria, Seul Lee, Daniel Apley, Wei Chen

A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing

Digital Twins rely on surrogate models to mirror physical systems in real time, yet these models can degrade as operating conditions evolve, a phenomenon known as concept drift. Maintaining surrogate fidelity under drift, particularly when models must also capture aleatoric uncertainty, remains an open challenge. Existing adaptive...

💬 0 commentsarXiv:2607.18164v1PDF
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Posted in math.CA · 2026-07-20 · Agnieszka Hejna-Łyżwa, Joonil Kim, Bartosz Langowski, Mariusz Mirek, Hoyoung Song, James Wright

Discrete analogues in harmonic analysis: Multi-parameter Radon averages

In this paper we study maximal and oscillation inequalities for multi-parameter discrete Radon averaging operators. We develop a robust variant of the multi-parameter circle method within the framework of Discrete Analogues in Harmonic Analysis. In particular, this gives quantitative estimates for these averages and their underlying...

💬 0 commentsarXiv:2607.18160v1PDF
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Posted in math.GR · 2026-07-20 · Hussain AL-Rasheed

Coarsely Proper Actions of Topological Groups

We adapt the classical topological notions of properly discontinuous group actions to the framework of coarse geometry. By substituting the rigid constraints of local compactness and discreteness with uniform coarse equivalences, we systematically resolve the topological obstructions identified by Kapovich. We establish comprehensive...

💬 0 commentsarXiv:2607.18158v1PDF
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Posted in cs.LG · 2026-07-20 · Tiago Closs, Leandro Farina

Totally Positive Matrices and the Highest-Order Coefficients of the Characteristic Polynomial

We investigate the extent to which totally positive matrices can be distinguished through the highest-order coefficients of their characteristic polynomials. To identify the most informative coefficients, we also employed neural-network classifiers together with feature-attribution methods. Using datasets built from several structured...

💬 0 commentsarXiv:2607.18148v1PDF
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Posted in math.CO · 2026-07-20 · Petr Hladík, Jiří Fink

The realization graph of every degree sequence has a Hamilton path

Given a degree sequence $d$, the realization graph $\mathcal{G_F}(d)$ is the graph whose vertices are all labeled realizations of $d$, where two realizations are adjacent if they differ by a single $2$-switch. We prove that $\mathcal{G_F}(d)$ admits a Hamilton path for every degree sequence $d$. The problem was initiated by Arikati...

💬 0 commentsarXiv:2607.18146v1PDF
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Posted in math.DS · 2026-07-20 · Jorge Iglesias, Aldo Portela, Álvaro Rovella, Juliana Xavier

Non-locally connected spaces I: Coverings and branched coverings on metric spaces

We give a definition of coverings and branched coverings on general (non-locally connected) metric spaces and study their lifting properties. Instead of lifting curves the theory is developed by lifting continua. An alternative homotopy theory is depicted and versions generalizing the classical results are given. We study applications...

💬 0 commentsarXiv:2607.18143v1PDF
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Posted in math.DS · 2026-07-20 · Dipo Aldila, Joseph Páez Chávez, Aytül Gökçe, Thomas Götz, Burcu Gürbüz

A Mathematical Model of Dengue Transmission Incorporating Hospital Capacity and Threshold-Based Fogging Interventions

Dengue remains a major public health challenge in tropical regions, and recurring outbreaks suggest that current intervention strategies are not yet fully effective. Existing mathematical models typically assume unlimited hospital capacity and continuously applied fogging, neglecting practical constraints that strongly influence...

💬 0 commentsarXiv:2607.18140v1PDF
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Posted in eess.SP · 2026-07-16 · Wendong Cheng, Li Chen, Weidong Wang

Achievable-Rate Analysis of MISO Systems with Transmit-Side Multiport Matching Networks

Characterizing communication performance under the physical constraints imposed by radio frequency front-end circuits is essential for bridging communication-theoretic analysis and practical circuit design. In this work, we investigate the achievable-rate upper bound of a multiple-input single-output (MISO) system with a...

💬 0 commentsarXiv:2607.14992v1PDF
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Posted in q-fin.PM · 2026-07-20 · Boris Belyakov

AlphaZeroBeta: Deep Reinforcement Learning for Market-Neutral Portfolios

Market-neutral portfolios aim to generate consistent returns while offsetting systematic market risk. Traditional approaches based on factor models or convex optimization often underperform during market regime shifts or when structural assumptions break down. We propose AlphaZeroBeta, a deep reinforcement learning framework designed...

💬 0 commentsarXiv:2607.18001v1PDF
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Posted in q-fin.TR · 2026-07-20 · Dominik Feil, Max Nendel

Optimal Market Making in Prediction Markets

Prediction markets are attracting growing attention as trading volumes rise and their practical relevance increases. To ensure efficient price discovery, liquidity provision becomes ever more important. Due to the binary settlement structure in prediction markets, optimal market making leads to an optimization problem that is...

💬 0 commentsarXiv:2607.17991v1PDF
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Posted in q-fin.MF · 2026-07-20 · Masashi Sekine

Mean-field equilibrium price formation under single-default risk

We study equilibrium price formation in an incomplete financial market with a large population of agents, where stock prices are subject to a single-default event. Agents are assumed to be heterogeneous in their risk aversion and terminal liabilities, and maximize exponential utility of terminal net wealth. We first characterize each...

💬 0 commentsarXiv:2607.17502v1PDF
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Posted in q-fin.TR · 2026-07-19 · Ciamac C. Moallemi, Dan Robinson, Brian Zhu

Uniform-Loss Automated Market Making for Prediction Markets

Automated market makers (AMMs) for prediction markets descend from market scoring rules, where a mechanism operator subsidizes a market to aggregate beliefs about uncertain events. The existing literature has focused on bounding the total worst-case loss to the subsidizer, but has not addressed how that loss is distributed across...

💬 0 commentsarXiv:2607.17428v1PDF
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Posted in cs.LG · 2026-07-19 · Aleksander Fafuła

Abliteration Is Not a Scalpel: Off-Target Effects of Refusal Removal on Decision Disposition Across Model Families

Abliteration - deleting a model's refusal direction from its weights - is the standard recipe behind popular "uncensored" open-weight models. We show the surgery is not clean. As a disposition probe we use 21,600 decisions under uncertainty - weekly up/down calls on 60 Warsaw Stock Exchange equities over 18 weeks, replayed through a...

💬 0 commentsarXiv:2607.17427v1PDF
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Posted in q-fin.RM · 2026-07-19 · Nader Karimi, Davood Ahmadian

Determining Insolvency Regions in Banks: A Stochastic Dynamic Approach Integrating Liquidity and Credit Risk

We develop a continuous-time structural dynamic model to determine the exact insolvency regions of banks arising from the non-linear interaction between liquidity and credit risk. While existing literature predominantly treats these risks in isolation or via reduced-form specifications, we explicitly model the feedback loop where...

💬 0 commentsarXiv:2607.17381v1PDF
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Posted in q-fin.MF · 2026-07-19 · Jaeyoung Sung, Jianfeng Zhang, Zimu Zhu

A General Model for Continuous Time Principal-Agent Problem Under Hidden Action

In this paper, we study a general continuous-time Principal-Agent (PA) problem, where the agent privately makes effort and consumption decisions over time under a contract with payment schemes both in continuous time and in lump sums. In particular, we allow the continuous payment process to be a controlled diffusion, which is...

💬 0 commentsarXiv:2607.17212v1PDF
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Posted in q-fin.MF · 2026-07-19 · Henrik Karlholm, Marlon Moresco, Marcelo Righi

Risk Measures on Lipschitz Spaces

This paper develops a theory of monetary risk measures on metric state spaces. We propose the space of Lipschitz functions vanishing at a reference state as a natural domain for financial positions. The associated Lipschitz-free space provides its canonical predual, linking anchored Lipschitz payoffs to transport-based dual variables...

💬 0 commentsarXiv:2607.17020v1PDF
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Posted in q-fin.TR · 2026-07-18 · Jan Novotny

Herding and Liquidity in Order-Book Markets. II. Fundamental Anchoring and the Resilience of Liquidity

An order-book market whose liquidity provision is anchored to a fundamental value carries a restoring force: the price mean-reverts to value and the book refills after a shock. We show this restoring force is a robust intrinsic stabiliser and identify it causally-dialling the anchor down removes the mean-reversion, and a...

💬 0 commentsarXiv:2607.16970v1PDF
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Posted in math.OC · 2026-07-18 · Sascha Desmettre, Philipp C. Hornung

Robust Control for Marked Point Processes under Transition-Rate Uncertainty

We consider a novel robust utility maximisation problem under bounded cumulative transition rate uncertainty within the class of non-Markovian marked point processes on a finite state-space. Utility is maximised over the class of admissible controls, while Nature chooses a worst-case biometric scenario from the class of admissible,...

💬 0 commentsarXiv:2607.16935v1PDF