Tootfinder

I've written a brief -- and very preliminary -- note on what I've learned playing with #Friendica so far.
https://www.journeyman.cc/blog/posts-outpu…

Initial thoughts on Friendica
If you've been browsing through your Mastodon feed, and you come upon a post with nice formatting — perhaps words emboldened or italicised, perhaps with an embedded link — and you've wondered how that post was written, the answer may be Friendica.

Slovakia, Hungary excluded from initial EU 'drone wall' talks: https://benborges.xyz/2025/09/22/slovakia-hungary-excluded-from-initial.html

Prepare Before You Act: Learning From Humans to Rearrange Initial States
Yinlong Dai, Andre Keyser, Dylan P. Losey
https://arxiv.org/abs/2509.18043 https://

Prepare Before You Act: Learning From Humans to Rearrange Initial States
Imitation learning (IL) has proven effective across a wide range of manipulation tasks. However, IL policies often struggle when faced with out-of-distribution observations; for instance, when the target object is in a previously unseen position or occluded by other objects. In these cases, extensive demonstrations are needed for current IL methods to reach robust and generalizable behaviors. But when humans are faced with these sorts of atypical initial states, we often rearrange the environme…

The inverse initial data problem for anisotropic Navier-Stokes equations via Legendre time reduction method
Cong B. Van, Thuy T. Le, Loc H. Nguyen
https://arxiv.org/abs/2507.16810

The inverse initial data problem for anisotropic Navier-Stokes equations via Legendre time reduction method
We consider the inverse initial data problem for the compressible anisotropic Navier-Stokes equations, where the goal is to reconstruct the initial velocity field from lateral boundary observations. This problem arises in applications where direct measurements of internal fluid states are unavailable. We introduce a novel computational framework based on Legendre time reduction, which projects the velocity field onto an exponentially weighted Legendre basis in time. This transformation reduces …

Packers list whopping 14 on injury report, Cowboys welcome Daron Bland back to practice https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/09/24/cowboys-packers-initial-injury-report-week-4-wednesd…

Artifacts in Halo Shapes: Imprints of the Initial Condition
Yu Yu, Zhao Chen
https://arxiv.org/abs/2507.16745 https://arxiv.org/pdf/2…

Artifacts in Halo Shapes: Imprints of the Initial Condition
Grid type pre-initial conditions are commonly used to initialize particle positions in cosmological simulations. While these conditions are known to produce noticeable numerical artifacts in void regions, their impact on halo properties has generally been assumed to be negligible. In this work, we employ multiple simulations to demonstrate that grid initialization induces statistically significant artifacts in halo shapes, despite the modest absolute amplitude ($\sim 1\%$) making them unimporta…

An Initial Assessment of the Hanle Echelle Spectrograph for Exoplanet Atmosphere Studies
Manjunath Bestha, Athira Unni, T. Sivarani, Shivangi Menon, Parvathy M, Arun Surya, Pallavi Saraf, Devika Divakar, Lokesh Manickavasaham
https://arxiv.org/abs/2509.17142

An Initial Assessment of the Hanle Echelle Spectrograph for Exoplanet Atmosphere Studies
Transmission spectroscopy is an effective technique for probing exoplanetary atmospheres. While most observations have relied on space facilities such as HST and JWST, ground-based high-resolution transmission spectroscopy (HRTS) has also provided valuable insights by resolving individual atomic features. In this work, we present an initial performance assessment and feasibility test of the Hanle Echelle Spectrograph (HESP) on the 2 m Himalayan Chandra Telescope (HCT) for HRTS. As a benchmark, …

Wiener Hopf Analysis of Transient Mode-I/Mode-II Fracture in Rotating Heterogeneous Magnetoelastic Orthotropic Media under Initial Stresses
Diksha, Soniya Chaudhary, Pawan Kumar Sharma
https://arxiv.org/abs/2508.15870

Wiener Hopf Analysis of Transient Mode-I/Mode-II Fracture in Rotating Heterogeneous Magnetoelastic Orthotropic Media under Initial Stresses
This study investigates the fracture behavior under both opening (Mode I) and in-plane sliding (Mode II) conditions for a semi-infinite crack in a rotating, spatially graded magnetoelastic orthotropic strip with combined horizontal and vertical initial normal stresses. The strip is assumed infinite in extent, with the crack aligned along its longitudinal axis and parallel to the rotation axis. The governing field equations are reduced to an analytically tractable form by employing the Fourier t…

Constructing characteristic initial data for three dimensional compressible Euler equations
Yuxuan Wang, Sifan Yu, Pin Yu
https://arxiv.org/abs/2508.15199 https://

Constructing characteristic initial data for three dimensional compressible Euler equations
This paper resolves the characteristic initial data problem for the three-dimensional compressible Euler equations - an open problem analogous to Christodoulou's characteristic initial value formulation for the vacuum Einstein field equations in general relativity. Within the framework of acoustical geometry, we prove that for any "initial cone" $C_0\subset \mathcal{D}=[0,T]\times\mathbb{R}^3$ with initial data $(\mathringρ,\mathring{v},\mathring{s})$ given at $S_{0,0}=C_0\cap Σ_0$, arbitrary…

Got the initial dice rolling implementation in the #Pathfinder2E character sheet. Not the prettiest, but it works pretty damned well. `[Ctrl] [D]` to open the dialog window, `[Esc]` to close, and `[Enter]` rolls the dice.
#programming

And now they talk like a Donald 😲 Donald talk ->
"The White House said the "flat-out wrong" assessment was leaked by "a low-level loser in the intelligence community"."
US strikes did not destroy Iran nuclear programme, says intelligence assessment
https://www.bbc.co…

Geometric Interpolation of Rigid Body Motions
Andreas Mueller
https://arxiv.org/abs/2509.16966 https://arxiv.org/pdf/2509.16966

Geometric Interpolation of Rigid Body Motions
The problem of interpolating a rigid body motion is to find a spatial trajectory between a prescribed initial and terminal pose. Two variants of this interpolation problem are addressed. The first is to find a solution that satisfies initial conditions on the k-1 derivatives of the rigid body twist. This is called the kth-order initial value trajectory interpolation problem (k-IV-TIP). The second is to find a solution that satisfies conditions on the rigid body twist and its k-1 derivatives at …

Particle systems and the supercooled Stefan problem with non-integrable initial data
Thomas Blore, D. G. M Flynn, Ben Hambly
https://arxiv.org/abs/2507.16703

Particle systems and the supercooled Stefan problem with non-integrable initial data
We consider an infinite system of particles on the positive real line, initiated from a Poisson point process, which move according to Brownian motion up until the hitting time of a barrier. The barrier increases when it is hit, allowing for the possibility of sequences of successive jumps to occur instantaneously. Under certain conditions, the scaling limit gives a representation for the supercooled Stefan problem and its free boundary. This allows us to give a precise asymptotic limit for the…

So @…, initial indications are that Tautou (aka (Silver|Wax)eyes have a decisive preference for water sweetened with raw cane sugar over that sweetened with honey... I'm trying to do some more scientifically-legit research to test this initial hypothesis.

PyG 2.0: Scalable Learning on Real World Graphs
Matthias Fey, Jinu Sunil, Akihiro Nitta, Rishi Puri, Manan Shah, Bla\v{z} Stojanovi\v{c}, Ramona Bendias, Alexandria Barghi, Vid Kocijan, Zecheng Zhang, Xinwei He, Jan Eric Lenssen, Jure Leskovec
https://arxiv.org/abs/2507.16991

PyG 2.0: Scalable Learning on Real World Graphs
PyG (PyTorch Geometric) has evolved significantly since its initial release, establishing itself as a leading framework for Graph Neural Networks. In this paper, we present Pyg 2.0 (and its subsequent minor versions), a comprehensive update that introduces substantial improvements in scalability and real-world application capabilities. We detail the framework's enhanced architecture, including support for heterogeneous and temporal graphs, scalable feature/graph stores, and various optimization…

Projecting Eagles 53-man roster: Does Howie Roseman make another trade after Sam Howell? Who sticks at WR??

https://www.cbssports.com/nfl/news/project…

Training the classification capability of large-scale quantum cellular automata
Mario Boneberg, Simon Kochsiek, Gabriele Perfetto, Igor Lesanovsky
https://arxiv.org/abs/2509.18262

The $n$-body problem -- an alternative scheme for determining solutions for planetary systems
Pawel Wojda
https://arxiv.org/abs/2507.17414 https://arxiv.or…

The $n$-body problem -- an alternative scheme for determining solutions for planetary systems
This study presents a general alternative scheme of the procedure and necessary conditions for solving the $n$-body problem. The presented solution is not a solution of the classical problem, where the initial conditions of positions and initial velocities/momenta of the bodies are known. Starting from the standard initial condition the procedure treats contributions to momentum from particular pair-wise interactions as independent variables from which the total momentum and velocity of a given…

Data Virtualization for Machine Learning
Saiful Khan, Joyraj Chakraborty, Philip Beaucamp, Niraj Bhujel, Min Chen
https://arxiv.org/abs/2507.17293 https://…

Data Virtualization for Machine Learning
Nowadays, machine learning (ML) teams have multiple concurrent ML workflows for different applications. Each workflow typically involves many experiments, iterations, and collaborative activities and commonly takes months and sometimes years from initial data wrangling to model deployment. Organizationally, there is a large amount of intermediate data to be stored, processed, and maintained. \emph{Data virtualization} becomes a critical technology in an infrastructure to serve ML workflows. In …

Two combinatorial puzzles arising from the theory of Kohnert polynomials
Theo Koss, Nicholas Mayers, Alex Moon
https://arxiv.org/abs/2509.17170 https://arx…

Two combinatorial puzzles arising from the theory of Kohnert polynomials
Motivated by recent work of Hanser and Mayers, we study two combinatorial puzzles arising from the theory of Kohnert polynomials. Such polynomials are defined as generating polynomials for certain collections of diagrams consisting of unit cells arranged in the first quadrant generated from an initial "seed diagram" by applying what are called "Kohnert moves". Each Kohnert move affects the position of at most cell of a diagram, attempting to move the rightmost cell of a given row to the first a…

Tails from the Bulk: Gravitational Decay in AdS$_5$
John R. V. Crump, Jorge E. Santos
https://arxiv.org/abs/2506.18991 https://arxiv.…

Tails from the Bulk: Gravitational Decay in AdS$_5$
We study gravitational perturbations of Schwarzschild-AdS black holes in $d = 5$ and identify a regime of late-time power-law decay for smooth initial data. Based on an analysis of the quasinormal mode spectrum, we predict and characterise this decay behaviour. We perform fully nonlinear numerical evolutions with long integration times that support the prediction and exhibit no signs of instability. Remarkably, the decay is modulated by a universal oscillatory pattern, consistent with subleadin…

Red Supergiants as Supernova Progenitors
Schuyler D. Van Dyk
https://arxiv.org/abs/2507.15973 https://arxiv.org/pdf/2507.15973…

Red Supergiants as Supernova Progenitors
The inevitable fate of massive stars in the initial mass range of ~8--30 M_{Sun} in the red supergiant (RSG) phase is a core-collapse supernova (SN) explosion, although some stars may collapse directly to a black hole. We know that this is the case, since RSGs have been directly identified and characterized for a number of supernovae (SNe) in pre-explosion archival optical and infrared images. RSGs likely all have some amount of circumstellar matter (CSM), through nominal mass loss, although ev…

Identifying Solution Constraints for ODE Systems
Nicolae Tarfulea
https://arxiv.org/abs/2507.15805 https://arxiv.org/pdf/2507.15805…

Identifying Solution Constraints for ODE Systems
This work develops a framework to discover relations between the components of the solution to a given initial-value problem for a first-order system of ordinary differential equations. This is done by using sparse identification techniques on the data represented by the numerical solution of the initial-value problem at hand. The only assumption is that there are only a few terms that connects the components, so that the mathematical relations to be discovered are sparse in the set of possible…

The second fluctuation-dissipation theorem for the generalized Langevin equation
Martin Hanke
https://arxiv.org/abs/2507.17350 https://arxiv.org/pdf/2507.1…

The second fluctuation-dissipation theorem for the generalized Langevin equation
Necessary and sufficient conditions are presented for the existence of (second order) stationary solutions of the generalized Langevin equation under appropriate assumptions on the associated memory kernel. When this stochastic equation is formulated as an initial value problem, then it is shown that the solution approaches a stationary process as time goes to infinity, whenever the fluctuating force term is taken to be a combination of a white noise process and a mean-square continuous centere…

from my link log —
Game math: precise control over numeric springing.
https://allenchou.net/2015/04/game-math-precise-control-over-numeric-springing/
saved 2025-05-21

Game Math: Precise Control over Numeric Springing | Ming-Lun "Allen" Chou | 周明倫
[latexpage] This post is part of my Game Math Series. Source files are on GitHub Check out this post if you want to see more visual examples of numeric springing. Numeric springing is a very powerful tool for procedural animation. You specify the initial value, initial velocity, target value, and some spring-related parameters; the result

A Fast Initialization Method for Neural Network Controllers: A Case Study of Image-based Visual Servoing Control for the multicopter Interception
Chenxu Ke, Congling Tian, Kaichen Xu, Ye Li, Lingcong Bao
https://arxiv.org/abs/2509.19110

Symbol Detection in Inter-Symbol Interference Channels using Expectation Propagation with Channel Shortening
Jannis Clausius, Luca Schmid, Laurent Schmalen, Stephan ten Brink
https://arxiv.org/abs/2509.17735

Symbol Detection in Inter-Symbol Interference Channels using Expectation Propagation with Channel Shortening
Iterative message passing detection based on expectation propagation(EP) has demonstrated near-optimum performance in many signal processing and communication scenarios. The method remains feasible even for channel impulse responses (CIRs), where the optimal Bahl-Cocke-Jelinek-Raviv (BCJR) detector is infeasible. However, significant performance degradation occurs for channels with strong inter-symbol interference (ISI), where the initial linear minimum mean square error (LMMSE) estimate is ina…

STAR: Speech-to-Audio Generation via Representation Learning
Zeyu Xie, Xuenan Xu, Yixuan Li, Mengyue Wu, Yuexian Zou
https://arxiv.org/abs/2509.17164 https://

STAR: Speech-to-Audio Generation via Representation Learning
This work presents STAR, the first end-to-end speech-to-audio generation framework, designed to enhance efficiency and address error propagation inherent in cascaded systems. Unlike prior approaches relying on text or vision, STAR leverages speech as it constitutes a natural modality for interaction. As an initial step to validate the feasibility of the system, we demonstrate through representation learning experiments that spoken sound event semantics can be effectively extracted from raw spee…

Replaced article(s) found for gr-qc. https://arxiv.org/list/gr-qc/new
[1/2]:
- Initial data sets with vanishing mass are contained in pp-wave spacetimes
Sven Hirsch, Yiyue Zhang

Euclid preparation: Expected constraints on initial conditions
Collaboration, Finelli, Akrami, Andrews, Ballardini, Casas, Karagiannis, Sakr, Valiviita, Alestas, Bartolo, Bermejo-Climent, Nesseris, Paoletti, Sapone, Tutusaus, Ach\'ucarro, Ca\~nas-Herrera, Jasche, Lavaux, Aghanim, Altieri, Amara, Amendola, Andreon, Auricchio, Baccigalupi, Bagot, Baldi, Bardelli, Battaglia, Biviano, Branchini, Brescia, Camera, Capobianco, Carbone, Carretero, Castellano, Castignani, Cavuoti, Chambers,…

Euclid preparation: Expected constraints on initial conditions
The Euclid mission of the European Space Agency will deliver galaxy and cosmic shear surveys, which will be used to constrain initial conditions and statistics of primordial fluctuations. We present highlights for the Euclid scientific capability to test initial conditions beyond LCDM with the main probes, i.e. 3D galaxy clustering from the spectroscopic survey, the tomographic approach to 3x2pt statistics from photometric galaxy survey, and their combination. We provide Fisher forecasts from t…

Estimating Initial Mass of Gaia-Enceladus Dwarf Galaxy with Chemical Evolution Model
Olcay Plevne, Furkan Akbaba
https://arxiv.org/abs/2508.14890 https://a…

Estimating Initial Mass of Gaia-Enceladus Dwarf Galaxy with Chemical Evolution Model
This work investigates the initial mass and chemical evolution history of the Gaia-Enceladus dwarf galaxy. We combine spectroscopic data from APOGEE with astrometric data from Gaia DR3 to identify Gaia-Enceladus candidate stars via a machine-learning pipeline using t-SNE and HDBSCAN. By focusing on kinematic and chemical parameters, especially $\mathrm{[Fe/H]}$, $\mathrm{[Mg/Fe]}$, $\mathrm{[Al/Fe]}$, and $\mathrm{[Mn/Fe]}$, we uncover a population of metal-poor, high-eccentricity stars that al…

A Quantum Computational Determination of the Weak Mixing Angle in the Standard Model
Qiaofeng Liu, Ian Low, Zhewei Yin
https://arxiv.org/abs/2509.18251 https://

Distributed Interview Selection for Stable Matching in Large Random Markets
Richard Cole, Pranav Jangir
https://arxiv.org/abs/2506.19345 https://

Distributed Interview Selection for Stable Matching in Large Random Markets
In real-world settings of the Deferred Acceptance stable matching algorithm, such as the American medical residency match (NRMP), school choice programs, and various national university entrance systems, candidates need to decide which programs to list. In many of these settings there is an initial phase of interviews or information gathering which affect the preferences on one or both sides. We ask: which interviews should candidates seek? We study this question in a model, introduced by Lee (…

Exponential Runge-Kutta Galerkin finite element method for a reaction-diffusion system with nonsmooth initial data
Runjie Zhang, Jinwei Fang, Shuo Yang
https://arxiv.org/abs/2507.15345

Exponential Runge-Kutta Galerkin finite element method for a reaction-diffusion system with nonsmooth initial data
This study presents a numerical analysis of the Field-Noyes reaction-diffusion model with nonsmooth initial data, employing a linear Galerkin finite element method for spatial discretization and a second-order exponential Runge-Kutta scheme for temporal integration. The initial data are assumed to reside in the fractional Sobolev space H^gamma with 0 < gamma < 2, where classical regularity conditions are violated, necessitating specialized error analysis. By integrating semigroup techniques and…

Magnetic Field Configurations in Binary Neutron Star Mergers I: Post-merger Remnant and Disk
Eduardo M. Guti\'errez, William Cook, David Radice, Sebastiano Bernuzzi, Jacob Fields, Peter Hammond, Boris Daszuta, Harshraj Bandyopadhyay, Maximilian Jacobi
https://arxiv.org/abs/2506.18995…

Magnetic Field Configurations in Binary Neutron Star Mergers I: Post-merger Remnant and Disk
We present a suite of general relativistic magnetohydrodynamic (GRMHD) simulations of binary neutron star (BNS) mergers performed with the code GR-Athena++. We investigate how a different initial magnetic field configuration, nuclear equation of state, or binary mass ratio affects the magnetic and thermodynamic evolution of the post-merger remnant and disk. We also analyze the impact of the commonly-assumed reflection (bitant) symmetry across the equatorial plane. Magnetic field amplification o…

Minimal surface doublings and electrostatics for Schr\"odinger operators
Adrian Chun-Pong Chu, Daniel Stern
https://arxiv.org/abs/2509.18630 https://a…

Minimal surface doublings and electrostatics for Schrödinger operators
Twenty years ago, N. Kapouleas introduced a singular perturbation construction known as "doubling", which produces sequences of high-genus minimal surfaces converging to a given minimal surface with multiplicity two. Doubling constructions have since been implemented successfully in several settings, with deep work of Kapouleas-McGrath reducing their existence theory to the problem of finding suitable families of ansatz data on the initial minimal surface. In this paper, we introduce a variat…

SEC filing: Ambiq Micro, which makes ultra-low power chips, is seeking to raise as much as $85M from its IPO, marketing 3.4M shares at $22 to $25 each (Anthony Hughes/Bloomberg)
https://www.bloomberg.com/news/articles/2025-07-21/arm…

Chipmaker Ambiq Micro Starts Marketing US IPO
Ambiq Micro Inc., a maker of ultra-low power semiconductors for artificial intelligence applications, is seeking to raise as much as $85 million from an initial public offering.

Strichartz estimates for higher order Schr\"odinger equations with Partial regular initial data
Vishvesh Kumar, Shyam Swarup Mondal, Iswarya Sitiraju, Manli Song
https://arxiv.org/abs/2508.15670

Strichartz estimates for higher order Schrödinger equations with Partial regular initial data
In this paper, we establish refined Strichartz estimates for higher-order Schrödinger equations with initial data exhibiting partial regularity. By partial regularity, we mean that the initial data are not required to have full Sobolev regularity but only regularity with respect to a subset of the spatial variables. As an application of these estimates, we investigate the well-posedness of nonlinear Schrödinger equations with power-type nonlinearities. In addition, we extend our analysis to t…

Scarred ferromagnetic phase in the long-range transverse-field Ising model
\'Angel L. Corps, Armando Rela\~no
https://arxiv.org/abs/2507.16421 https://…

Scarred ferromagnetic phase in the long-range transverse-field Ising model
We report the existence of a large set of ferromagnetic scarred states in the one-dimensional transverse-field Ising model with long-range interactions, in a regime with no ferromagnetic phase at finite temperature. These scarred states are distributed over different spectral regions, surrounded by paramagnetic states. We show that simple initial conditions, consisting in a few small magnetic domains, selectively populate these scarred states. This leads to the appearance of a special dynamical…

Status of the Trinity PeV Neutrino Observatory
S. Stepanoff (for the Trinity Collaboration), A. N. Otte (for the Trinity Collaboration), M. Bagheri (for the Trinity Collaboration), A. Barletta (for the Trinity Collaboration), D. Bergmann (for the Trinity Collaboration), J. Blose (for the Trinity Collaboration), J. Bogdan (for the Trinity Collaboration), A. M. Brown (for the Trinity Collaboration), L. Cedeno (for the Trinity Collaboration), M. Doro (for the Trinity Collaboration), M. Fe…

Data-driven transient growth analysis
Yin Wang, Xuerui Mao
https://arxiv.org/abs/2509.18974 https://arxiv.org/pdf/2509.18974…

Data-driven transient growth analysis
Transient growth analysis has been extensively studied in asymptotically stable flows to identify their short-term amplification of perturbations. Generally, in global transient growth analyses, matrix-free methods are adopted, requiring the construction of adjoint equations, either in the discrete or continuous form. This paper introduces a data-driven algorithm that circumvents the adjoint equations by extracting the optimal initial perturbation and its energy growth over a specified time hor…

Extended Call for Papers: C.S. Lewis and Popular Culture
https://ift.tt/emJ8Oj5
Volume Editor: George Tsakiridis, PhD Abstract and CV Due: June 10, 2025 Initial Final Paper Due:…
via Input 4 RELCFP

Extended Call for Papers: C.S. Lewis and Popular Culture
Volume Editor: George Tsakiridis, PhD Abstract and CV Due: June 10, 2025 Initial Final Paper Due: September 15, 2025 C.S. Lewis has captured the imagination of twentieth-century readers by presenti…

The noisy voter model with general initial conditions
Patrizio Caddeo, Eyal Lubetzky
https://arxiv.org/abs/2507.16188 https://arxiv.o…

The noisy voter model with general initial conditions
We study the noisy voter model with $q\geq 2$ states and noise probability $θ$ on arbitrary bounded-degree $n$-vertex graphs $G$ with subexponential growth of balls (e.g., finite subsets of $\mathbb{Z}^d$). Cox, Peres and Steif (2016) showed for the binary case $q=2$ (and a wider class of chains) that, when starting from a worst-case initial state, this Markov chain has total variation cutoff at $t_n=\frac1{2θ}\log n$. The second author and Sly (2021) analyzed faster initial conditions for Gl…

Active Ornstein-Uhlenbeck particle under stochastic resetting
Uma Shankari, Mamata Sahoo
https://arxiv.org/abs/2509.18515 https://arxiv.org/pdf/2509.18515

Universality and Invariance in Hegselmann-Krause Opinion Dynamics: Proof of Three Conjectures
Paolo Molignini
https://arxiv.org/abs/2508.15982 https://arxi…

Universality and Invariance in Hegselmann-Krause Opinion Dynamics: Proof of Three Conjectures
Three conjectures from [R. Hegselmann, The Journal of Artificial Societies and Social Simulations 26(4), 11 (2023)] about the Hegselmann-Krause opinion dynamics and the structure of $ε$-switches are proved. The first conjecture states that the number of $ε$-switches for any given initial opinion distribution is always finite, guaranteeing that the algorithm for enumerating them terminates. The second conjecture concerns the relationship between the dynamics of two consecutive $ε$-switches, s…

Low-power switching of memristors exhibiting fractional-order dynamics
Nathan Astin, Yuriy V. Pershin
https://arxiv.org/abs/2507.18487 https://arxiv.org/pd…

Low-power switching of memristors exhibiting fractional-order dynamics
In this conference contribution, we present some initial results on switching memristive devices exhibiting fractional-order behavior using current pulses. In our model, it is assumed that the evolution of a state variable follows a fractional-order differential equation involving a Caputo-type derivative. A study of Joule losses demonstrates that the best switching strategy minimizing these losses depends on the fractional derivative's order and the power exponent in the equation of motion. It…

Playing more with the Trion devkit.
Got my APB GPIO core building and running with almost no code changes (just had to switch from initializing module outputs in the module declaration vs explicit "initial" blocks).
The logic analyzer IP works, but is very bare bones: you have to explicitly connect to a particular scan chain with one debug core on it (does this mean a max of two debug cores in a Trion?) then set up a capture and it'll output to a VCD.
The soft…

Planning with Minimal Disruption
Alberto Pozanco, Marianela Morales, Daniel Borrajo, Manuela Veloso
https://arxiv.org/abs/2508.15358 https://arxiv.org/pdf/…

Planning with Minimal Disruption
In many planning applications, we might be interested in finding plans that minimally modify the initial state to achieve the goals. We refer to this concept as plan disruption. In this paper, we formally introduce it, and define various planning-based compilations that aim to jointly optimize both the sum of action costs and plan disruption. Experimental results in different benchmarks show that the reformulated task can be effectively solved in practice to generate plans that balance both obj…

Projective Plane Subdivision Method For Initial Orbit Determination
Ruiqi Huang, Anton Leykin, Michela Mancini
https://arxiv.org/abs/2509.14397 https://arx…

Projective Plane Subdivision Method For Initial Orbit Determination
Initial Orbit Determination (IOD) is the classical problem of estimating the orbit of a body in space without any presumed information about the orbit. The geometric formulation of the ''angles-only'' IOD in three-dimensional space: find a conic curve with a given focal point meeting the given lines of sight (LOS). We provide an algebraic reformulation of this problem and confirm that five is the minimal number of lines necessary to have a finite number of solutions in a non-special case, and t…

Zeroth-order log-concave sampling
Yunbum Kook
https://arxiv.org/abs/2507.18021 https://arxiv.org/pdf/2507.18021

Zeroth-order log-concave sampling
We study the zeroth-order query complexity of log-concave sampling, specifically uniform sampling from convex bodies using membership oracles. We propose a simple variant of the proximal sampler that achieves the query complexity with matched Rényi orders between the initial warmness and output guarantee. Specifically, for any $\varepsilon>0$ and $q\geq2$, the sampler, initialized at $π_{0}$, outputs a sample whose law is $\varepsilon$-close in $q$-Rényi divergence to $π$, the uniform distr…

Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks
Pietro Giuseppe Fr\'e, Federico Milanesio, Guido Sanguinetti, Matteo Santoro
https://arxiv.org/abs/2507.16871

Navigation through Non-Compact Symmetric Spaces: a mathematical perspective on Cartan Neural Networks
Recent work has identified non-compact symmetric spaces U/H as a promising class of homogeneous manifolds to develop a geometrically consistent theory of neural networks. An initial implementation of these concepts has been presented in a twin paper under the moniker of Cartan Neural Networks, showing both the feasibility and the performance of these geometric concepts in a machine learning context. The current paper expands on the mathematical structures underpinning Cartan Neural Networks, de…

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting
Jasper S. Wijnands, Michiel Van Ginderachter, Bastien Fran\c{c}ois, Sophie Buurman, Piet Termonia, Dieter Van den Bleeken
https://arxiv.org/abs/2507.18378

A comparison of stretched-grid and limited-area modelling for data-driven regional weather forecasting
Regional machine learning weather prediction (MLWP) models based on graph neural networks have recently demonstrated remarkable predictive accuracy, outperforming numerical weather prediction models at lower computational costs. In particular, limited-area model (LAM) and stretched-grid model (SGM) approaches have emerged for generating high-resolution regional forecasts, based on initial conditions from a regional (re)analysis. While LAM uses lateral boundaries from an external global model, S…

Single-photon loading of polar molecules into an optical trap
Bart J. Schellenberg, Eifion H. Prinsen, Janko Nauta, Luk\'a\v{s} F. Pa\v{s}teka, Anastasia Borschevsky, Steven Hoekstra
https://arxiv.org/abs/2507.17521 https://arxiv.org/pdf/2507.17521 https://arxiv.org/html/2507.17521
arXiv:2507.17521v1 Announce Type: new
Abstract: We propose a scheme to transfer molecules from a slow beam into an optical trap using only a single photon absorption and emission cycle. The efficiency of such a scheme is numerically explored for BaF using realistic experimental parameters. The technique makes use of the state-dependent potential in an external electric field to trap molecules from an initial velocity of order 10m/s. A rapid optical transition at the point where the molecules come to a standstill in the electric field potential irreversibly transfers them into a ~7mK optical dipole trap. For a pulsed Stark decelerated beam, we estimated the per-shot efficiency to be ~0.04% or up to ~103 molecules, with a potential factor 20 improvement when the fields are synchronously modulated with the arriving velocity components. The irreversibility of the scheme allows for larger numbers to be built up over time. Since this scheme does not rely on a closed cycling transition for laser cooling, it broadens the range of molecules that can be used for research on cold molecular chemistry, quantum information, and fundamental interactions in optical traps.
toXiv_bot_toot

Identification and Characterization of a New Disruption Regime in ADITYA-U Tokamak
Soumitra Banerjee, Harshita Raj, Sk Injamul Hoque, Komal Yadav, Sharvil Patel, Ankit Kumar, Kaushlender Singh, Ashok Kumawat, Bharat Hegde, Subhojit Bose, Priyanka Verma, Kumudini Tahiliani, Asha Adhiya, Manoj Kumar, Rohit Kumar, Malay Bikash Chowdhuri, Nilam Ramaiya, Ananya Kundu, Suman Aich, Suman Dolui, K. A. Jadeja, K. M. Patel, Ankit Patel, Rakesh L. Tanna, Joydeep Ghosh

Identification and Characterization of a New Disruption Regime in ADITYA-U Tokamak
Disruptions continue to pose a significant challenge to the stable operation and future design of tokamak reactors. A comprehensive statistical investigation carried out on the ADITYA-U tokamak has led to the observation and characterization of a novel disruption regime. In contrast to the conventional Locked Mode Disruption (LMD), the newly identified disruption exhibits a distinctive two-phase evolution: an initial phase characterized by a steady rise in mode frequency with a nonlinearly satu…

Cowboys rookie RB Jaydon Blue's initial role revealed at training camp https://www.sportingnews.com/us/nfl/dallas-cowboys/news/cowboys-rookie-jaydon-blue-role-revealed/328387810f104a8bf71b4129

Locating Ab Initio Transition States via Geodesic Construction on Machine Learned Potential Energy Surfaces
Diptarka Hait, Jan D. Estrada Pab\'on, Martin St\"ohr, Todd J. Mart\'inez
https://arxiv.org/abs/2507.17968

Locating Ab Initio Transition States via Geodesic Construction on Machine Learned Potential Energy Surfaces
Efficient and reliable identification and optimization of transition state structures is a longstanding challenge in computational chemistry. Popular chain-of-states methods require hundreds if not thousands of \textit{ab initio} calculations to generate initial guesses for local quasi-Newton optimizers, with persistent risk of collapse to an alternative stationary point on the potential energy surface (PES). Here, we show that high-quality guess structures for transition state optimization can…

Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
Sara Giordano, Kornikar Sen, Miguel A. Martin-Delgado
https://arxiv.org/abs/2507.16641

Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis
A reinforcement learning (RL) framework is introduced for the efficient synthesis of quantum circuits that generate specified target quantum states from a fixed initial state, addressing a central challenge in both the NISQ era and future fault-tolerant quantum computing. The approach utilizes tabular Q-learning, based on action sequences, within a discretized quantum state space, to effectively manage the exponential growth of the space dimension. The framework introduces a hybrid reward mecha…

Singular functions obtained via random function iteration
Cristian Mitrea, Alef E. Sterk
https://arxiv.org/abs/2508.16327 https://arxiv.org/pdf/2508.16327

Singular functions obtained via random function iteration
In this paper we consider a discrete-time dynamical system on the real line by random iteration of two functions. These functions are assumed to satisfy appropriate monotonicity conditions; optionally, a symmetry condition may be imposed. Using Bernoulli measures on the space of binary sequences we show that sequences generated by the iteration process almost surely diverge to either plus or minus infinity. The function that assigns to each initial point the probability that the iterates diverg…

Zensec has a good article on the Akira ransomware group's tactics taken directly from their DFIR experience on 16 incidents. A few key take-aways:
- Initial Access: Please, please please patch your Internet-facing VPN and firewall devices including your Sonicwall, Cisco ASA and Watchguard devices.
- Patch our Veeam software. They used vulnerable Veeam installs to perform privilege escalation
- Block access to Anydesk.com and remotedesktop.google.com if you don't use…

Unmasking Akira: The ransomware tactics you can’t afford to ignore - Zensec
If you are reading this because you have experienced a ransomware incident and are unsure how to deal with it, contact Zensec immediately.

Almost sure global weak solutions and optimal decay for the incompressible generalized Navier-Stokes equations
Y. -X. Lin, Y. -G. Wang
https://arxiv.org/abs/2509.17171 https://

Almost sure global weak solutions and optimal decay for the incompressible generalized Navier-Stokes equations
In this paper, we consider the initial value problem of the incompressible generalized Navier-Stokes equations with initial data being in negative order Sobolev spaces, in the whole space $\mathbb{R}^d$ with $d \geq 2$. The generalized Navier-Stokes equations studied here is obtained by replacing the standard Laplacian in the classical Navier-Stokes equations by the fractional order Laplacian $-(-Δ)^\al$ with $\al \in \left( \frac{1}{2},\frac{d+2}{4} \right]$. After an appropriate randomizatio…

NFL Draft 2026 rankings: Arch Manning, Caleb Downs in top 5 of Dane Brugler's initial board https://www.nytimes.com/athletic/6549329/2025/08/21/nfl-draft-2026-rankings-arch-manning-caleb-downs/

On the Boundary of the Robust Admissible Set in State and Input Constrained Nonlinear Systems
Franz Ru{\ss}wurm, Jean L\'evine, Stefan Streif
https://arxiv.org/abs/2509.18825

On the Boundary of the Robust Admissible Set in State and Input Constrained Nonlinear Systems
In this paper, we consider nonlinear control systems subject to bounded disturbances and to both state and input constraints. We introduce the definition of robust admissible set - the set of all initial states from which the state and input constraints can be satisfied for all times against all admissible disturbances. We focus on its boundary that can be decomposed into the usable part on the state constraint boundary and the barrier, interior to the state constraints. We show that, at the in…

Numerical Analysis of Simultaneous Reconstruction of Initial Condition and Potential in Subdiffusion
Xu Wu, Jiang Yang, Zhi Zhou
https://arxiv.org/abs/2509.15633 https://…

Numerical Analysis of Simultaneous Reconstruction of Initial Condition and Potential in Subdiffusion
This paper investigates the simultaneous identification of a spatially dependent potential and the initial condition in a subdiffusion model based on two terminal observations. The existence, uniqueness, and conditional stability of the inverse problem are established under weak regularity assumptions through a constructive fixed-point iteration approach. The theoretical analysis further inspires the development of an easy-to-implement iterative algorithm. A fully discrete scheme is then propos…

eROSITA-selection of new period-bounce Cataclysmic Variables: First follow-up confirmation using TESS and SDSS
Daniela Mu\~noz-Giraldo, Beate Stelzer, Axel Schwope, Santiago Hern\'andez-D\'iaz, Scott F. Anderson, Sebastian Demasi
https://arxiv.org/abs/2509.17216

eROSITA-selection of new period-bounce Cataclysmic Variables: First follow-up confirmation using TESS and SDSS
Between 40$\%$ and 80$\%$ of cataclysmic variables (CVs) are expected to have evolved past the period-minimum and contain a degenerate donor. However, observational surveys for CVs have only been able to detect a few of these highly evolved "period-bouncers", most likely due to the intrinsic faintness associated with their predicted low mass accretion rates. We have produced an initial selection of 137 high-likelihood period-bounce candidates from WD catalog based on our multiwavelength period-…

Crosslisted article(s) found for eess.SY. https://arxiv.org/list/eess.SY/new
[2/2]:
- Prepare Before You Act: Learning From Humans to Rearrange Initial States
Yinlong Dai, Andre Keyser, Dylan P. Losey

Observational features of the Bardeen-boson star with thin disk accretion
Chen-Yu Yang, Huan Ye, Xiao-Xiong Zeng
https://arxiv.org/abs/2509.17535 https://a…

Observational features of the Bardeen-boson star with thin disk accretion
In this work, we construct spherically symmetric solutions of Bardeen--boson stars within the framework of the Einstein--Klein--Gordon theory coupled to nonlinear electrodynamics by employing numerical methods. Considering a thin accretion disk in the equatorial plane as the light source, we systematically investigate the optical appearance of boson stars using the ray-tracing method and the stereographic projection technique. Particular attention is paid to the influence of the initial scalar …

Exploring the properties of newborn pulsars with high-energy neutrinos
Zi-Zhuo Xiao, Gang Guo, Tuohuniyazi Tuniyazi
https://arxiv.org/abs/2507.16551 https:…

Exploring the properties of newborn pulsars with high-energy neutrinos
Newborn pulsars resulting from core-collapse supernovae (CCSNe) are promising sources of high-energy (HE) cosmic rays and neutrinos. In this work, we focus on HE neutrinos generated by interactions between protons accelerated in relativistic pulsar winds and SN ejecta. Using a binned likelihood analysis, we evaluate the detection prospects of these neutrinos with IceCube and explore their potential for probing the initial spin period ($P$) and magnetic field strength ($B$) of newborn pulsars. N…

Blow-up problem for porous medium equation with absorption under nonlinear nonlocal boundary condition
Alexander Gladkov
https://arxiv.org/abs/2507.17310 https://

Blow-up problem for porous medium equation with absorption under nonlinear nonlocal boundary condition
In this paper we consider initial boundary value problem for porous medium equation with absorption under nonlinear nonlocal boundary condition and nonnegative initial datum. We prove local existence, comparison principle, global existence and blow-up of solutions.

Multiparameter estimation with position-momentum correlated Gaussian probes
Jo\~ao C. P. Porto, Carlos H. S. Vieira, Pedro R. Dieguez, Irismar G. da Paz, Lucas S. Marinho
https://arxiv.org/abs/2507.16742

Multiparameter estimation with position-momentum correlated Gaussian probes
Gaussian quantum probes have been widely used in quantum metrology and thermometry, where the goal is to estimate the temperature of an environment with which the probe interacts. It was recently shown that introducing initial position-momentum (PM) correlations in such probes can enhance the estimation precision compared to standard, uncorrelated Gaussian states. Motivated by these findings, we investigate whether PM correlations can also be advantageous in a simultaneous estimation setting, s…

Dallas Cowboys cut tracker: Who's out, released or waived as team trims roster to 53 https://cowboyswire.usatoday.com/story/sports/nfl/cowboys/2025/08/24/cowboys-53-man-roster-cut-tracker-2025/85806767007/

Certifiably Optimal Doppler Positioning using Opportunistic LEO Satellites
Baoshan Song, Weisong Wen, Qi Zhang, Bing Xu, Li-Ta Hsu
https://arxiv.org/abs/2509.17198 https://

Certifiably Optimal Doppler Positioning using Opportunistic LEO Satellites
To provide backup and augmentation to global navigation satellite system (GNSS), Doppler shift from Low Earth Orbit (LEO) satellites can be employed as signals of opportunity (SOP) for position, navigation and timing (PNT). Since the Doppler positioning problem is non-convex, local searching methods may produce two types of estimates: a global optimum without notice or a local optimum given an inexact initial estimate. As exact initialization is unavailable in some unknown environments, a guara…

Foliations by critical surfaces of the Hawking energy in asymptotically flat initial data sets
Alejandro Pe\~nuela Diaz
https://arxiv.org/abs/2508.13782 https://

Foliations by critical surfaces of the Hawking energy in asymptotically flat initial data sets
Area-constrained critical surfaces for the Hawking quasi-local energy ("Hawking surfaces") provide a natural setting for that energy: they enjoy positivity and rigidity properties. We construct large-scale foliations at infinity by Hawking surfaces in asymptotically Schwarzschild initial data sets. Using a Lyapunov-Schmidt reduction within a Willmore-foliation framework, we prove existence and uniqueness of the foliation and study its coordinate center. Under the dominant energy condition, we s…

FieldAI, which is developing robot "brains", raised $405M at a $2B post-money valuation from Nvidia and others; FieldAI raised an initial $91M in late 2024 (Dan Primack/Axios)
https://www.axios.com/2025/08/20/fieldai-raises-over-400-million-to-…

FieldAI raises over $400 million to make robot "brains"
Investors include funds affiliated with Jeff Bezos and NVIDIA.

Weighted finite difference methods for the semiclassical nonlinear Schr\"odinger equation with multiphase oscillatory initial data
Yanyan Shi, Christian Lubich
https://arxiv.org/abs/2508.15683

Weighted finite difference methods for the semiclassical nonlinear Schrödinger equation with multiphase oscillatory initial data
This paper introduces weighted finite difference methods for numerically solving dispersive evolution equations with solutions that are highly oscillatory in both space and time. We consider a semiclassically scaled cubic nonlinear Schrödinger equation with highly oscillatory initial data, first in the single-phase case and then in the general multiphase case. The proposed methods do not need to resolve high-frequency oscillations in both space and time by prohibitively fine grids as would be …

Efficient Quantum Protein Structure Prediction with Problem-Agnostic Ansatzes
Hanna Linn, Rui-Hao Li, Alexander Holden, Abdullah Ash Saki, Frank DiFilippo, Tomas Radivoyevitch, Daniel Blankenberg, Laura Garc\'ia-\'Alvarez, G\"oran Johansson
https://arxiv.org/abs/2509.18263

On Hamiltonian bypasses in digraphs and bipartite digraphs
Samvel Kh. Darbinyan
https://arxiv.org/abs/2507.15435 https://arxiv.org/pd…

On Hamiltonian bypasses in digraphs and bipartite digraphs
A Hamiltonian path in a digraph $D$ in which the initial vertex dominates the terminal vertex is called a Hamiltonian bypass. Let $D$ be a 2-strong digraph of order $p\geq 3$ and let $z$ be some vertex of $D$. Suppose that every vertex of $D$ other than $z$ has degree at least $p$. We introduce and study a conjecture which claims that there exists a smallest integer $k$ such that if $d(z)\geq k$, then $D$ contains a Hamiltonian bypass. In this paper, we prove: (i) If $D$ is Hamiltonian or $z$ h…

Protostellar Jets in Star Cluster Formation and Evolution: I. Implementation and Initial Results
Sabrina M. Appel, Blakesley Burkhart, Mordecai-Mark Mac Low, Eric P. Andersson, Claude Cournoyer-Cloutier, Sean Lewis, Stephen L. W. McMillan, Brooke Polak, Simon Portegies Zwart, Aaron Tran, Maite J. C. Wilhelm
https://arxiv.org/abs/2509.15311…

Protostellar Jets in Star Cluster Formation and Evolution: I. Implementation and Initial Results
Stars form in clusters from the gravitational collapse of giant molecular clouds, which is opposed by a variety of physical processes, including stellar feedback. The interplay between these processes determines the star formation rate of the clouds. To study how feedback controls star formation, we use a numerical framework that is optimized to simulate star cluster formation and evolution. This framework, called Torch, combines the magnetohydrodynamical code FLASH with N-body and stellar evol…

A Distributed Actor-Critic Algorithm for Fixed-Time Consensus in Nonlinear Multi-Agent Systems
Aria Delshad, Maryam Babazadeh
https://arxiv.org/abs/2507.16520

A Distributed Actor-Critic Algorithm for Fixed-Time Consensus in Nonlinear Multi-Agent Systems
This paper proposes a reinforcement learning (RL)-based backstepping control strategy to achieve fixed time consensus in nonlinear multi-agent systems with strict feedback dynamics. Agents exchange only output information with their neighbors over a directed communication graph, without requiring full state measurements or symmetric communication. Achieving fixed time consensus, where convergence occurs within a pre-specified time bound that is independent of initial conditions is faced with si…

An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-{\alpha} forest
Fatemeh Hafezianzadeh, Xiaowen Zhang, Yueying Ni, Rupert A. C. Croft, Tiziana DiMatteo, Mahdi Qezlou, Simeon Bird
https://arxiv.org/abs/2507.16189

An AI super-resolution field emulator for cosmological hydrodynamics: the Lyman-α forest
We extend our super-resolution and emulation framework for cosmological dark matter simulations to include hydrodynamics. We present a two-stage deep learning model to emulate high-resolution (HR-HydroSim) baryonic fields from low-resolution (LR-HydroSim) simulations at redshift $z = 3$. The method takes as inputs an LR-HydroSim and the high-resolution initial conditions (HR-HydroICs). First, the model stochastically generates high-resolution baryonic fields from the LR-HydroSim. Second, a dete…

Abrupt decorrelation for linear stochastic differential equations
Sergio I. L\'opez, Juan C. Pardo, Leandro P. R. Pimentel
https://arxiv.org/abs/2509.16828 https://

Abrupt decorrelation for linear stochastic differential equations
Understanding how a system loses memory of its initial state is a central problem in probability and statistics. In this manuscript, we introduce the notion of abrupt decorrelation, which explicitly characterises a sharp and sudden loss of correlation over time. We study this phenomenon within a class of linear stochastic differential equations (LSDEs), where explicit descriptions are available under various statistical distances. Our main focus is on the multivariate Ornstein-Uhlenbeck process…

Comprehensive Statistical Analysis of Initial Lorentz Factor and Jet Opening Angle of Gamma-Ray Bursts
Jian Zhang, Bao-Cheng Qin, Lu-Lu Zhang, Fu-Wen Zhang
https://arxiv.org/abs/2508.13448

Comprehensive Statistical Analysis of Initial Lorentz Factor and Jet Opening Angle of Gamma-Ray Bursts
The initial Lorentz factor ($Γ_{0}$) and jet half-opening angle ($θ_{\rm jet}$) of gamma-ray bursts (GRBs) are critical physical parameters for understanding the dynamical evolution of relativistic jets and the true energy release of GRBs. We compile a sample of 89 GRBs that exhibit an onset bump feature in their early optical or GeV light curves, 42 of which also display a jet break feature, and derive their $Γ_{0}$ and $θ_{\rm jet}$ values. Using this sample, we re-eaxmine the correlation…

The Effects of Linear Matter Power Spectrum Enhancement on Dark Matter Substructure
Ethan O. Nadler, Vera Gluscevic, Andrew Benson
https://arxiv.org/abs/2507.16889 https://

The Effects of Linear Matter Power Spectrum Enhancement on Dark Matter Substructure
We present cosmological dark matter (DM)--only zoom-in simulations of a Milky Way (MW) analog originating from enhanced linear matter power spectra $P(k)$ relative to the standard cold, collisionless DM (CDM) cosmology. We consider a Gaussian power excess in $P(k)$ followed by a cutoff in select cases; this behavior could arise from early-universe physics that alters the primordial matter power spectrum or DM physics in the radiation-dominated epoch. We find that enhanced initial conditions (IC…

Numerical analysis of scattered point measurement-based regularization for backward problems for fractional wave equations
Dakang Cen, Zhiyuan Li, Wenlong Zhang
https://arxiv.org/abs/2506.18948

Numerical analysis of scattered point measurement-based regularization for backward problems for fractional wave equations
In this work, our aim is to reconstruct the unknown initial value from terminal data. We develop a numerical framework on nonuniform time grids for fractional wave equations under the lower regularity assumptions. Then, we introduce a regularization method that effectively handles scattered point measurements contaminated with stochastic noise. The optimal error estimates of stochastic convergence not only balance discretization errors, the noise, and the number of observation points, but also …

Stability for multiple Lamb dipoles
Ken Abe, In-Jee Jeong, Yao Yao
https://arxiv.org/abs/2507.16474 https://arxiv.org/pdf/2507.16474

Stability for multiple Lamb dipoles
In the class of nonnegative vorticities on the half-plane, we establish the Lyapunov stability of finite sums of Lamb dipoles under the initial assumptions that the dipoles are sufficiently separated and that the faster dipoles are positioned to the right of the slower ones. Our approach combines sharp energy estimates near the Lamb dipoles with a Lagrangian bootstrapping scheme, enabling us to quantify the exchanges of circulation, enstrophy, impulse, and energy between various parts of the so…

Do mixed states exhibit deep thermalisation?
Alan Sherry, Sthitadhi Roy
https://arxiv.org/abs/2507.14135 https://arxiv.org/pdf/2507.1…

Do mixed states exhibit deep thermalisation?
The notion of $deep$ $thermalisation$, where ensembles of pure states on a local subsystem, conditioned on measurement outcomes on its complement, approach universal maximum-entropy ensembles constrained only by conservation laws, represents a stronger form of ergodicity than conventional thermalisation. We show that this framework fails dramatically for mixed initial states, evolved unitarily, even with infinitesimal initial mixedness. To address this, we introduce a new paradigm of deep therm…

On constraining initial orbital eccentricity of purely inspiral events
Hemantakumar Phurailatpam, Gopakumar Achamveedu, Maria Haney, Tjonnie Li, Srishti Tiwari
https://arxiv.org/abs/2508.12697

On constraining initial orbital eccentricity of purely inspiral events
The LIGO-Virgo-KAGRA consortium has sporadically detected purely inspiral gravitational-wave events like GW170817 and GW190425. These events offer an opportunity to constrain the presence of possible initial (residual) orbital eccentricities while using purely inspiral template families. We detail the implementation of a LSC Algorithm Library Suite approximant, TaylorF2Ecck, which models analytically inspiral gravitational waves from non-spinning compact binaries in Post-Newtonian accurate ecce…

Randomized Space-Time Sampling for Affine Graph Dynamical Systems
Le Gong, Longxiu Huang
https://arxiv.org/abs/2509.16818 https://arxiv.org/pdf/2509.16818

Randomized Space-Time Sampling for Affine Graph Dynamical Systems
This paper investigates the problem of dynamical sampling for graph signals influenced by a constant source term. We consider signals evolving over time according to a linear dynamical system on a graph, where both the initial state and the source term are bandlimited. We introduce two random space-time sampling regimes and analyze the conditions under which stable recovery is achievable. While our framework extends recent work on homogeneous dynamics, it addresses a fundamentally different set…

Global well-posedness for the 3D compressible Navier-Stokes equations in optimal Besov space
Zihua Guo, Zihao Song, Minghua Yang
https://arxiv.org/abs/2509.17005 https://…

Global well-posedness for the 3D compressible Navier-Stokes equations in optimal Besov space
We consider the Cauchy problem to the 3D barotropic compressible Navier-Stokes equation. We prove global well-posedness, assuming that the initial data $(ρ_0-1,u_0)$ has small norms in the critical Besov space $\mathbb{X}_p=\dot{B}_{p,1}^{3/p}(\mathbb{R}^3)\times \dot{B}_{p,1}^{-1+3/p}(\mathbb{R}^3)$ for $2\leq p<6$ and $(ρ_0-1,ρ_0u_0)$ satisfies an additional low frequency condition. Our results extend the previous results in \cite{FD2010, CMZ2010, H20112} where $p<4$ is needed for high fre…

Formation of vacuum state and delta-shock in the solution of two-dimensional Riemann problem for zero pressure gas dynamics
Anamika Pandey, T. Raja Sekhar
https://arxiv.org/abs/2507.17213

Formation of vacuum state and delta-shock in the solution of two-dimensional Riemann problem for zero pressure gas dynamics
In this article, we investigate the two-dimensional pressureless Euler equations with three constant Riemann initial data. Our primary focus is on the wave interactions involving contact discontinuities and delta shocks. A distinguishing feature of the solution is the emergence of a delta shock wave which is characterized by a Dirac delta function appearing in both the density and internal energy variables. By exploiting generalized characteristic analysis, nine topologically distinct solution …

Dynamics-independent bounds on state transformations and precision in open quantum systems
Yoshihiko Hasegawa
https://arxiv.org/abs/2508.13884 https://arxi…

Dynamics-independent bounds on state transformations and precision in open quantum systems
We derive dynamics-independent upper bounds on achievable quantum state transformations. Modeling the evolution as a joint unitary on the system and its environment, we show that the Rényi divergence between the initial system state and any state reachable via the dynamics is bounded from above by a quantity determined solely by the eigenvalues of the initial system and environment density operators. As a consequence, we establish dynamics-independent lower bounds on the relative variance for …

On completeness of modified wave operators for defocusing NLS
Vladimir Georgiev, Tohru Ozawa
https://arxiv.org/abs/2509.15921 https://arxiv.org/pdf/2509.15…

On completeness of modified wave operators for defocusing NLS
In this manuscript, we study modified scattering for the nonlinear defocusing Schrödinger equation with a critical gauge-invariant nonlinearity of order 1+2/n. We address the following question: Given initial data in an appropriate weighted Sobolev space, what is the leading term in the asymptotic behavior of the solution as times goes to infinity? More precisely, we seek a final state in a space of type similar to the space of the initial data such that the leading term is represented by th…

Blow-up analysis for the generalized hyperelastic rod equation
Shaojie Yang
https://arxiv.org/abs/2509.15960 https://arxiv.org/pdf/2509.15960

Blow-up analysis for the generalized hyperelastic rod equation
We investigate the blow-up for the generalized hyperelastic rod equation, which includes the Camassa-Holm equation, the the hyperelastic-rod wave equation, and the rotation-Camassa-Holm equation as special cases. We establish a new local-in-space blow-up criterion under certain initial data. Our local-in-space blow-up condition on the initial data is purely local in the space variable.

Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing
Ruilin Zhou, Jinglei Cheng, Yuhang Gan, Junyu Liu, Chen Qian
https://arxiv.org/abs/2508.15267

Optimizing Compilation for Distributed Quantum Computing via Clustering and Annealing
Efficiently mapping quantum programs onto Distributed quantum computing (DQC) are challenging, particularly when considering the heterogeneous quantum processing units (QPUs) with different structures. In this paper, we present a comprehensive compilation framework that addresses these challenges with three key insights: exploiting structural patterns within quantum circuits, using clustering for initial qubit placement, and adjusting qubit mapping with annealing algorithms. Experimental result…

On the mean-field limit for the for the Vlasov-Poisson system in two dimensions
Feistl-Held Manuela, Pickl Peter
https://arxiv.org/abs/2509.17821 https://a…

On the mean-field limit for the for the Vlasov-Poisson system in two dimensions
We present a probabilistic proof of the mean-field limit and propagation of chaos of a classical N-particle system in two dimensions with Coulomb interaction force of the form $f^N(q)=\pm\frac{q}{|q|^2}$ and $N$-dependent cut-off at $|q|>N^{-2}$. In particular, for typical initial data, we show convergence of the Newtonian trajectories to the characteristics of the Vlasov-Poisson system. The proof is based on a Gronwall estimate for the maximal distance between the exact mic…

Complex Heat Capacity as a Witness of Spatio-Temporal Entanglement
Mia Stamatova, Vlatko Vedral
https://arxiv.org/abs/2508.15728 https://arxiv.org/pdf/2508…

Complex Heat Capacity as a Witness of Spatio-Temporal Entanglement
We propose a novel witness of temporal quantum entanglement using the imaginary component of the complex heat capacity - a measurable thermodynamic quantity in temperature-modulated calorimetry. By establishing a direct correspondence between complex heat capacity and the pseudo-density matrix formalism, our approach enables the characterisation of both spatial and temporal quantum correlations without demanding additional state-level manipulation beyond initial tomography. We analytically demo…

Local well-posedness and asymptotic analysis of a nonlocal incompressible Navier--Stokes--Korteweg system
Jeongho Kim, Jaeyong Shin
https://arxiv.org/abs/2507.16295

Local well-posedness and asymptotic analysis of a nonlocal incompressible Navier--Stokes--Korteweg system
We consider a relaxed formulation of the inhomogeneous incompressible Navier--Stokes--Korteweg system, where the classical third-order capillarity term is replaced by a nonlocal approximation. We first establish the local-in-time well-posedness of the relaxed system, under standard regularity and positivity assumptions on the initial data. The existence time is uniform with respect to both the capillarity coefficient and the relaxation parameter. We then study two asymptotic limits of the syste…

Global existence and optimal time-decay rates of the compressible Navier-Stokes equations with density-dependent viscosities
Jie Fan, Xiangdi Huang, Anchun Ni
https://arxiv.org/abs/2507.16436

Global existence and optimal time-decay rates of the compressible Navier-Stokes equations with density-dependent viscosities
This paper is devoted to studying the Cauchy problem for the three-dimensional isentropic compressible Navier-Stokes equations with density-dependent viscosities given by $μ=ρ^α,λ=ρ^α(α>0)$. We establish the global existence and optimal decay rates of classical solutions under the assumptions of small initial data in $L^1(\mathbb{R}^3)\cap L^2(\mathbb{R}^3)$ and the viscosity constraint $|α-1|\ll 1$. The key idea of our proof lies in the combination of Green's function method,…

High-capillarity limit and smoothing effect of large solutions for a multi-dimensional generic non-conservative compressible two-fluid model
Ling-Yun Shou, Jiayan Wu, Lei Yao, Yinghui Zhang
https://arxiv.org/abs/2509.16607

High-capillarity limit and smoothing effect of large solutions for a multi-dimensional generic non-conservative compressible two-fluid model
We investigate the global existence and long-time behavior of large solutions, in the high-capillarity regime, for a general multidimensional non-conservative compressible two-fluid model with the capillary pressure relation \(f(α^{-}ρ^{-})=P^{+}-P^{-}\). Our main contributions are threefold. First, for sufficiently large capillarity coefficients, we prove the existence and uniqueness of global solutions in critical Besov spaces for large initial perturbations, under the sharp stability condi…

Orthonormal Strichartz estimates on torus and waveguide manifold and applications
Divyang G. Bhimani, Subhash. R. Choudhary
https://arxiv.org/abs/2507.16712

Orthonormal Strichartz estimates on torus and waveguide manifold and applications
We establish orthonormal Strichartz estimates for the fractional Schrödinger equations on torus and waveguide manifold. In the process, we also improve $\ell^2$ decoupling inequality and establish classical fractional Strichartz estimates on waveguide manifold. This maybe of independent interest. As an application, we establish local well-posednes for the Hartree equations with infinitely many particles with non-trace class initial data.