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Mathematics Preprint PDF DOI

Noise-induced enhancement of regime lifetimes -- A data-driven approach using deterministic trajectories

Henry Schoeller, Robin Chemnitz, Peter Koltai, Maximilian Engel, Stephan Pfahl · 2026

We investigate the lifetime of dynamical regimes under the impact of noise motivated by low-dimensional models of the atmosphere. One may expect that the inclusion of noise tends to make the system le…

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Mathematics Preprint PDF DOI

Fibonacci numbers and the probability of polygon formation using random length sticks

Mark Brennana, Noah Callow, Tian Cao Lin · 2026

We present two complementary proofs that, if the lengths of $n$ sticks are sampled at random, then the probability that no $p+1$ sticks can form a $(p+1)$-sided polygon can be expressed as the product…

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Mathematics Preprint PDF DOI

Characterizations of amorphic association schemes in terms of fusing triples

Yanzhen Xiong · 2026

Let $\mathcal{R}$ be an association scheme with nontrivial relations $A_1,\ldots,A_d$. We call $\mathcal{R}$ amorphic if every possible fusion of its nontrivial relations gives rise to a fusion scheme…

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Mathematics Preprint PDF DOI

Reliability-based Topology Optimization using Large Deviation Theory

Maryam Maghazeh, Ayyappan Unnikrishna Pillai, Mohammad Masiur Rahaman, Subhayan De · 2026

Reliability-based topology optimization (RBTO) requires repeated estimation of small failure probabilities and their gradients, making conventional nested Monte Carlo approaches computationally prohib…

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Mathematics Preprint PDF DOI

Data assimilation for slightly compressible flow

Aytekin C{i}b{i}k, Rui Fang · 2026

Continuous data assimilation (CDA) nudges observational data into governing equations to recover the underlying flow and improve predictions. Existing rigorous CDA analyses focus primarily on incompre…

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Mathematics Preprint PDF DOI

On the binary relations defined using GD1 and 1GD inverses over infinite dimensional vector spaces

Diego Alba Alonso, Javier Sanchez Gonzalez · 2026

The purpose of this article is to study certain binary relations of endomorphisms over infinite dimensional vector spaces defined by GD1 and 1GD generalized inverses. In order to do so, these generali…

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Mathematics Preprint PDF DOI

Approximations of the Mortensen observer using higher order extended Kalman filters

Tobias Breiten, Justus Ramme, Jesper Schroder · 2026

A polynomial approximation of the minimum energy estimator, also called Mortensen observer, is discussed. The method relies on successive differentiations of an underlying value function and the Hamil…

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Mathematics Preprint PDF DOI

Reconfiguring flexibility in renewable power-to-ammonia systems using molten-salt thermal energy storage in the ammonia synthesis loop: A coordinated electro-hydrogen-thermal scheduling approach

Yiwei Qiu, Qingjie Sun, Yangjun Zeng, Ge Chen, Longjie Yang, Ge He, Xu Ji, Shi Chen, Buxiang Zhou, Kaigui Xie · 2026

In renewable power-to-ammonia (ReP2A) systems, the intermittency of wind and solar generation propagates through electrolytic hydrogen production and induces thermal instability in the ammonia synthes…

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Mathematics Preprint PDF DOI

On a Keller-Segel type equation to model Brain Microvascular Endothelial Cells growth's patterns

B Ambrosio, A Garroudji, S Fitzsimons, H Zaag, F.M. Elahi · 2026

This article presents a partial differential equation (PDE) of Keller-Segel (KS) type that reproduces patterns commonly observed during the growth of brain microvasculature. We provide mathematical in…

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Mathematics Preprint PDF DOI

Chemotaxis compressible Navier-Stokes equations with density-dependent viscosity modeling vascular network formation

Ansgar Jungel, Flora Philipp · 2026

The existence of global weak solutions to the compressible Navier-Stokes equations for the density of endothelial cells and their velocity, coupled to a reaction-diffusion equation for the concentrati…

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Mathematics Preprint PDF DOI

Numerical Analysis of a Variable-Order Time-Fractional Incompressible Magnetohydrodynamics System

Abdumauvlen Berdyshev, Dossan Baigereyev, Aibek Bakishev, Nurlana Alimbekova, Talgat Farkhadov · 2026

We consider an incompressible magnetohydrodynamics (MHD) model in which the classical first-order time derivatives in the momentum and magnetic induction equations are replaced by variable-order Caput…

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Mathematics Preprint PDF DOI

Study of Air Pollution Impact on Human Health in Major Cities in India using Fractal Analysis

Santanu Nandi · 2026

This study aims to examine the historical air pollution data from major Indian cities using fractal analysis to measure environmental risk. The fractal dimension of the major air pollutants is compute…

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Mathematics Preprint PDF DOI

Computational Method for Desensitized Optimal Guidance Using Direct Collocation

Katrina Winkler, Anil Rao · 2026

A computational method is developed for desensitized optimal guidance using adaptive Gaussian quadrature collocation. The method computes a reference trajectory that reduces the sensitivity to uncerta…

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Mathematics Preprint PDF DOI

Burning Graph Powers and Branching Trees

Jesper Jansson, Shashanka Kulamarva, Yukihiro Murakami, Nikolaas Verhulst · 2026

Graph burning is a discrete-time process that models the spread of social contagion. Initially, all vertices are unburned. In each round, one unburned vertex is selected and burned, while any unburned…

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Mathematics Preprint PDF DOI

Relaxation-Informed Training of Neural Network Surrogate Models

Calvin Tsay · 2026

ReLU neural networks trained as surrogate models can be embedded exactly in mixed-integer linear programs (MILPs), enabling global optimization over the learned function. The tractability of the resul…

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Mathematics Preprint PDF DOI

Analysis of an Inhomogeneous Random Walk with Spatial Decay of Transition Probabilities and Parameter Renewal per Excursion

Naohiro Yoshida · 2026

In this paper, we propose and analyze a novel one-dimensional inhomogeneous random walk model that combines spatial decay of transition probabilities with a temporal renewal structure for each excursi…

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Mathematics Preprint PDF DOI

Computational Control of Nonlinear Partial Differential Equations Using Machine Learning

Maximilian Kurbanov, Minh-Nhat Phung, Minh-Binh Tran · 2026

The numerical reconstruction of controls for nonlinear partial differential equations remains a challenging and relatively underdeveloped problem, despite the extensive literature on control theory. W…

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Mathematics Preprint PDF DOI

Using a generative model for out-of-sample testing of two-stage stochastic programs

Ashutosh Shukla, John J. Hasenbein, Erhan Kutanoglu · 2026

Stochastic programming models for decision-making under uncertainty often suffer from scenario scarcity, where obtaining representative samples of uncertain parameters requires expensive simulations o…

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Mathematics Preprint PDF DOI

A formal proof of the Sands-Sauer-Woodrow theorem using the Rocq prover and mathcomp/ssreflect

Jean-Philippe Chancelier (CERMICS) · 2026

We present a formal proof of the Sands-Sauer-Woodrow (SSW) theorem using the Rocq proof assistant and the MathComp/SSReflect library. The SSW theorem states that in a directed graph whose edges are co…

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Mathematics Preprint PDF DOI

CO$_2$ sequestration hybrid solver using isogeometric alternating-directions and collocation-based robust variational physics informed neural networks (IGA-ADS-CRVPINN)

Askold Vilkha, Tomasz S{l}uzalec, Marcin {L}os, Maciej Paszynski · 2026

This paper presents the hybrid solver for a $CO_2$ sequestration problem. The solver uses the IGA-ADS (IsoGeometric Analysis Alternating Directions solver) to compute the saturation scalar field updat…

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