Tootfinder

This https://arxiv.org/abs/2404.09284 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Deriving a GENERIC system from a Hamiltonian system
We reconsider the fundamental problem of coarse-graining infinite-dimensional Hamiltonian dynamics to obtain a macroscopic system which includes dissipative mechanisms. In particular, we study the thermodynamical implications concerning Hamiltonians, energy, and entropy and the induced geometric structures such as Poisson and Onsager brackets (symplectic and dissipative brackets). We start from a general finite-dimensional Hamiltonian system that is coupled linearly to an infinite-dimensional…

Continued Photometric Monitoring Supports Long-Term Dynamical Evolution in the Young Binary Star-Disk System KH 15D
Luke Lamitina (California Institute of Technology), Lynne Hillenbrand (California Institute of Technology), Michael Poon (University of Toronto)
https://arxiv.org/abs/2506.04914

Continued Photometric Monitoring Supports Long-Term Dynamical Evolution in the Young Binary Star-Disk System KH 15D
We present photometric time series data spanning 2018-2024 that show the effects of temporal dynamics in the binary system KH 15D, a member of the NGC 2264 star forming region. This source exhibits complex eclipsing behavior due to a precessing circumbinary disk or ring that is slightly inclined relative to the orbital plane of the binary. Using g-band and r-band observations from the Zwicky Transient Facility (ZTF) over seven observing seasons, we follow the evolution of the KH 15D lightcurve …

Memory-Driven Bounded Confidence Opinion Dynamics: A Hegselmann-Krause Model Based on Fractional-Order Methods
Meiru Jiang, Wei Su, Guojian Ren, Yongguang Yu
https://arxiv.org/abs/2506.04701

Memory-Driven Bounded Confidence Opinion Dynamics: A Hegselmann-Krause Model Based on Fractional-Order Methods
Memory effects play a crucial role in social interactions and decision-making processes. This paper proposes a novel fractional-order bounded confidence opinion dynamics model to characterize the memory effects in system states. Building upon the Hegselmann-Krause framework and fractional-order difference, a comprehensive model is established that captures the persistent influence of historical information. Through rigorous theoretical analysis, the fundamental properties including convergence …

Random dynamics and invariant measures for a class of non-Newtonian fluids of differential type on 2D and 3D Poincar\'e domains
Kush Kinra, Fernanda Cipriano
https://arxiv.org/abs/2506.04801

Random dynamics and invariant measures for a class of non-Newtonian fluids of differential type on 2D and 3D Poincaré domains
In this article, we consider a class of incompressible stochastic third-grade fluids (non-Newtonian fluids) equations on two- as well as three-dimensional Poincaré domains $\mathcal{O}$ (which may be bounded or unbounded). Our aims are to study the well-posedness and asymptotic analysis for the solutions of the underlying system. Firstly, we prove that the underlying system defined on $\mathcal{O}$ has a unique weak solution (in the analytic sense) under Dirichlet boundary condition and it als…

Optimal-PhiBE: A PDE-based Model-free framework for Continuous-time Reinforcement Learning
Yuhua Zhu, Yuming Zhang, Haoyu Zhang
https://arxiv.org/abs/2506.05208

Optimal-PhiBE: A PDE-based Model-free framework for Continuous-time Reinforcement Learning
This paper addresses continuous-time reinforcement learning (CTRL) where the system dynamics are governed by a stochastic differential equation but are unknown, and only discrete-time observations are available. Existing approaches face limitations: model-based PDE methods suffer from non-identifiability, while model-free methods based on the optimal Bellman equation (Optimal-BE) are prone to large discretization errors sensitive to both the dynamics and reward structure. To overcome these chal…

What does the death of Julius Caesar and probability have to do with the future of knowledge? Join me at noon EDT today for a webinar on how AI, like a JPEG, compresses information, risking a future where history is endlessly rewritten https://maine.zoom.us/webinar/register

Categorical foundations of discrete dynamical systems
Daniel Carranza, Chris Kapulkin, Nathan Kershaw, Reinhard Laubenbacher, Matthew Wheeler
https://arxiv.org/abs/2506.05190

Categorical foundations of discrete dynamical systems
We develop categorical foundations of discrete dynamical systems, aimed at understanding how the structure of the system affects its dynamics. The key technical innovation is the notion of a cycle set, which provides a formal language in which to speak of the system's attractors. As a proof of concept, we provide a decomposition theorem for discrete dynamical systems.

This https://arxiv.org/abs/2505.18001 has been replaced.
initial toot: https://mastoxiv.page/@a…

Liouvillian skin effects in two-dimensional electron systems at finite temperatures
Liouvillian skin effects, manifested as the localization of Liouvillian eigenstates around the boundary, are distinctive features of non-Hermitian systems and are particularly notable for their impact on system dynamics. Despite their significance, Liouvillian skin effects have not been sufficiently explored in electron systems. In this work, we demonstrate that a two-dimensional electron system on a substrate exhibits $\mathbb{Z}$ and $\mathbb{Z}_2$ Liouvillian skin effects due to the interpla…

This https://arxiv.org/abs/2505.15998 has been replaced.
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Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics
We present a method for the automated discovery of system-level dynamics in Flow-Lenia$-$a continuous cellular automaton (CA) with mass conservation and parameter localization$-$using a curiosity-driven AI scientist. This method aims to uncover processes leading to self-organization of evolutionary and ecosystemic dynamics in CAs. We build on previous work which uses diversity search algorithms in Lenia to find self-organized individual patterns, and extend it to large environments that support…

Biological Processes as Exploratory Dynamics
Jane Kondev, Marc Kirschner, Hernan G. Garcia, Gabriel L. Salmon, Rob Phillips
https://arxiv.org/abs/2506.04104

Biological Processes as Exploratory Dynamics
Many biological processes can be thought of as the result of an underlying dynamics in which the system repeatedly undergoes distinct and abortive trajectories with the dynamical process only ending when some specific process, purpose, structure or function is achieved. A classic example is the way in which microtubules attach to kinetochores as a prerequisite for chromosome segregation and cell division. In this example, the dynamics is characterized by apparently futile time histories in whic…

This https://arxiv.org/abs/2410.23818 has been replaced.
initial toot: https://mastoxiv.page/@…

Acceleration-induced transport of quantum vortices in joined atomtronic circuits
Persistent currents--inviscid quantized flow around an atomic circuit--are a crucial building block of atomtronic devices. We investigate how acceleration influences the transfer of persistent currents between two density-connected, ring-shaped atomic Bose-Einstein condensates, joined by a tunable weak link that controls system topology. We find that the acceleration of this system modifies both the density and phase dynamics between the rings, leading to a bias in the periodic vortex oscillati…

This https://arxiv.org/abs/2409.02821 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_hepp…

Establishing CP Violation in $b$-Baryon Decays
It is a long-standing puzzle why the {\it CP} violation (CPV) in the baryon system has not yet been definitively established as in the meson one. We demonstrate that individual partial-wave CPV in the $Λ_b\to pπ^-$ and $pK^-$ decays can exceed $10\%$, but the destruction between the partial waves (the suppression by the small partial-wave weight) results in a small net direct CPV in the former (the latter) as measured currently. Our finding highlights the different dynamics responsible for CP…

This https://arxiv.org/abs/2504.18073 has been replaced.
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Modular integration of neural connectomics, dynamics and biomechanics for identification of behavioral sensorimotor pathways in Caenorhabditis elegans
Computational approaches which emulate in-vivo nervous system are needed to investigate mechanisms of the brain to orchestrate behavior. Such approaches must integrate a series of biophysical models encompassing the nervous system, muscles, biomechanics to allow observing the system in its entirety while supporting model variations. Here we develop modWorm: a modular modeling framework for the nematode C. elegans. modWorm allows for construction of a model as an integrated series of configurabl…

Adiabatic dynamics in a V-type quantum system by oppositely chirped counterrotating circularly polarized laser pulses
D. K\"ohnke, T. Bayer, M. Wollenhaupt
https://arxiv.org/abs/2506.05177

Self-organization to multicriticality
Silja Sormunen, Thilo Gross, Jari Saram\"aki
https://arxiv.org/abs/2506.04275 https://arxi…

Self-organization to multicriticality
Self-organized criticality is a well-established phenomenon, where a system dynamically tunes its structure to operate on the verge of a phase transition. Here, we show that the dynamics inside the self-organized critical state are fundamentally far more versatile than previously recognized, to the extent that a system can self-organize to a new type of phase transition while staying on the verge of another. In this first demonstration of self-organization to multicriticality, we investigate a …

Experimental Study of Tensor Structure Function of Deuteron
Jiwan Poudel, Alessandro Bacchetta, Jian-Ping Chen, Nathaly Santiesteban
https://arxiv.org/abs/2506.04506

Experimental Study of Tensor Structure Function of Deuteron
The deuteron is the lightest spin-1 nucleus, consisting of a weakly bound system of two spin-1/2 nucleons. One intriguing characteristic of the deuteron is the tensor polarized structure, which cannot be naively constructed combining the proton and neutron structure. The tensor structure of the deuteron provides unique insights into the quarks and gluons distributions and their dynamics within the nucleus. It can be studied experimentally through inclusive and semi-inclusive Deep Inelastic Scat…

Disordering a permutation symmetric system: revivals, thermalization and chaos
Manju C, Uma Divakaran, Arul Lakshminarayan
https://arxiv.org/abs/2505.24453

Disordering a permutation symmetric system: revivals, thermalization and chaos
This study explores the effects of introducing a symmetry breaking disorder on the dynamics of a system invariant under particle permutation. The disorder forces quantum states, confined to the $N+1$ dimensional completely symmetric space to penetrate the exponentially large $2^N$ dimensional Hilbert space of $N$ particles. In particular, we focus on the quantum kicked top as a Floquet system of $N$ qubits, and use linear entropy, measuring single qubit entanglement, to investigate the changes …

This https://arxiv.org/abs/2505.13762 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

From Structural Design to Dynamics Modeling: Control-Oriented Development of a 3-RRR Parallel Ankle Rehabilitation Robot
This paper presents the development of a wearable ankle rehabilitation robot based on a 3-RRR spherical parallel mechanism (SPM) to support multi-DOF recovery through pitch, roll, and yaw motions. The system features a compact, ergonomic structure designed for comfort, safety, and compatibility with ankle biomechanics. A complete design-to-dynamics pipeline has been implemented, including structural design, kinematic modeling for motion planning, and Lagrangian-based dynamic modeling for torque…

An Advanced Cyber-Physical System Security Testbed for Substation Automation
Akila Herath, Chen-Ching Liu, Junho Hong, Mansi Girdhar
https://arxiv.org/abs/2505.24021

An Advanced Cyber-Physical System Security Testbed for Substation Automation
A Cyber-Physical System (CPS) testbed serves as a powerful platform for testing and validating cyber intrusion detection and mitigation strategies in substations. This study presents the design and development of a CPS testbed that can effectively assess the real-time dynamics of a substation. Cyber attacks exploiting IEC 61850-based SV and GOOSE protocols are demonstrated using the testbed, along with an analysis on attack detection. Realistic timing measurements are obtained, and the time fra…

New paper on ArXiv:
“Uncertainty quantification and posterior sampling for network reconstruction”
TL;DR; We present an efficient method to sample the entire ensemble of possible network reconstructions that are compatible with an indirect observation, e.g. a dynamics.
https://arxiv.org/abs/2503.07736…

Fluctuations in the number of local minima in discrete-time fractional Brownian motion
Maxim Dolgushev, Olivier B\'enichou
https://arxiv.org/abs/2506.04159

Fluctuations in the number of local minima in discrete-time fractional Brownian motion
The analysis of local minima in time series data and random landscapes is essential across numerous scientific disciplines, offering critical insights into system dynamics. Recently, Kundu, Majumdar, and Schehr derived the exact distribution of the number of local minima for a broad class of Markovian symmetric walks [Phys. Rev. E \textbf{110}, 024137 (2024)]; however, many real-world systems are non-Markovian, typically due to interactions with possibly hidden degrees of freedom. This work inv…

This https://arxiv.org/abs/2303.07859 has been replaced.
initial toot: https://mastoxiv.page/@arXi…

Poisson-Nernst-Planck charging dynamics of an electric double layer capacitor: symmetric and asymmetric binary electrolytes
A parallel plate capacitor containing an electrolytic solution is the simplest model of a supercapacitor, or electric double layer capacitor. Using both analytical and numerical techniques, we solve the Poisson-Nernst-Planck equations for such a system, describing the mean-field charging dynamics of the capacitor, when a constant potential difference is abruptly applied to its plates. Working at constant total number of ions, we focus on the physical processes involved in the relaxation and, wh…

Second quantization of nonlinear Vlasov-Poisson system for quantum computation
Michael Q. May, Hong Qin
https://arxiv.org/abs/2506.01895 https://

Second quantization of nonlinear Vlasov-Poisson system for quantum computation
The Vlasov-Poisson equations, fundamental in plasma physics and astrophysical applications, are rendered linear, finite-dimensional, and discrete by second quantization. Conditions for correspondence between the pre-quantized and quantized equations are derived, and numerical simulations demonstrating the quantized linear system can capture nonlinear dynamics are presented. Finally, encouraging scaling relations emphasizing the prospect of using quantum computers to efficiently integrate the se…

Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
Ayesha Afzal, Georg Hager, Gerhard Wellen
https://arxiv.org/abs/2506.02792

Exploring metrics for analyzing dynamic behavior in MPI programs via a coupled-oscillator model
We propose a novel, lightweight, and physically inspired approach to modeling the dynamics of parallel distributed-memory programs. Inspired by the Kuramoto model, we represent MPI processes as coupled oscillators with topology-aware interactions, custom coupling potentials, and stochastic noise. The resulting system of nonlinear ordinary differential equations opens a path to modeling key performance phenomena of parallel programs, including synchronization, delay propagation and decay, bottle…

The non-Hermitian magnetic moment
Bar Alon, Moshe Goldstein, Roni Ilan
https://arxiv.org/abs/2506.05206 https://arxiv.org/pdf/2506.05…

The non-Hermitian magnetic moment
We construct a semiclassical theory for electrons in a non-Hermitian periodic system subject to perturbations varying slowly in space and time. We derive the energy of the wavepacket to first order in the gradients of the perturbations. Applying the theory to the specific case of a uniform external magnetic field, we obtain an expression for the orbital magnetization energy. Using the principles of non-Hermitian dynamics, we define a physically meaningful non-Hermitian generalization of the ang…

Explicit Symplectic Integrators for Massive Point Vortex Dynamics in Binary Mixture of Bose--Einstein Condensates
Tomoki Ohsawa
https://arxiv.org/abs/2506.03486

Explicit Symplectic Integrators for Massive Point Vortex Dynamics in Binary Mixture of Bose--Einstein Condensates
We construct explicit integrators for massive point vortex dynamics in binary mixture of Bose--Einstein condensates proposed by Richaud et al. The integrators are symplectic and preserve the angular momentum of the system exactly. Our main focus is the small-mass regime in which the minor component of the binary mixture comprises a very small fraction of the total mass. The solution behaviors in this regime change significantly depending on the initial momenta: they are highly oscillatory unles…

This https://arxiv.org/abs/2501.08757 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Transient Instability and Patterns of Reactivity in Diffusive-Chemotaxis Soil Carbon Dynamics
We study pattern formation in a chemotaxis model of bacteria and soil carbon dynamics as an example system where transient dynamics can give rise to pattern formation outside of Turing unstable regimes. We use a detailed analysis of the reactivity of the non-spatial and spatial dynamics, stability analyses, and numerical continuation to uncover detailed aspects of this system's pattern-forming potential. In addition to patterning in Turing unstable parameter regimes, reactivity of the spatial s…

This https://arxiv.org/abs/2409.04588 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

PVAC: Package Version Activity Categorizer, Leveraging Semantic Versioning in a Heterogeneous System
Context: Modern open-source software ecosystems, such as those managed by GNU/Linux distributions, are composed of numerous packages developed independently by diverse communities. These ecosystems employ package management tools to facilitate software installation and dependency resolution. However, these tools lack robust mechanisms for systematically evaluating the development activity and versioning dynamics within their heterogeneous software environments. Objective: This research aims to …

Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
Salah Eddine Choutri, Boualem Djehiche, Prajwal Chauhan, Saif Eddin Jabari
https://arxiv.org/abs/2506.03059

Backpressure-based Mean-field Type Game for Scheduling in Multi-Hop Wireless Sensor Networks
We propose a Mean-Field Type Game (MFTG) framework for effective scheduling in multi-hop wireless sensor networks (WSNs) using backpressure as a performance criterion. Traditional backpressure algorithms leverage queue differentials to regulate data flow and maintain network stability. In this work, we extend the backpressure framework by incorporating a mean-field term into the cost functional, capturing the global behavior of the system alongside local dynamics. The resulting model utilizes t…

Mechanistic models for panel data: Analysis of ecological experiments with four interacting species
Bo Yang, Jesse Wheeler, Meghan A. Duffy, Aaron A. King, Edward L. Ionides
https://arxiv.org/abs/2506.04508

Mechanistic models for panel data: Analysis of ecological experiments with four interacting species
In an ecological context, panel data arise when time series measurements are made on a collection of ecological processes. Each process may correspond to a spatial location for field data, or to an experimental ecosystem in a designed experiment. Statistical models for ecological panel data should capture the high levels of nonlinearity, stochasticity, and measurement uncertainty inherent in ecological systems. Furthermore, the system dynamics may depend on unobservable variables. This study ap…

This https://arxiv.org/abs/2410.24212 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Measurement-invisible quantum correlations in scrambling dynamics
Scrambling unitary dynamics in a quantum system transmutes local quantum information into a non-local web of correlations which manifests itself in a complex spatio-temporal pattern of entanglement. In such a context, we show there can exist three distinct dynamical phases characterised by qualitatively different forms of quantum correlations between two disjoint subsystems of the system. Transitions between these phases are driven by the relative sizes of the subsystems and the degree scrambli…

Anisotropy effects on heavy quark dynamics in Gribov modified gluon plasma
Sumit, Jai Parkash, Santosh K. Das, Najmul Haque
https://arxiv.org/abs/2506.01922

Anisotropy effects on heavy quark dynamics in Gribov modified gluon plasma
In the early stages of relativistic heavy-ion collisions, the momentum distribution of the quark-gluon plasma is anisotropic, leading to instabilities in the system due to chromomagnetic plasma modes. In this work, we consider the anisotropic momentum distribution of the medium constituents to investigate its effects on heavy quark dynamics using the nonperturbative Gribov resummation approach within the framework of the Fokker-Planck equation. Specifically, we study the influence of nonperturb…

This https://arxiv.org/abs/2409.08928 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Self-Organizing State-Space Models with Artificial Dynamics
We consider the problem of performing parameter and state inference in a state-space model (SSM) parametrized by a static parameter $θ$. A popular idea to address this problem consists of incorporating $θ$ in the state of the system and allowing its time evolution, modelled as a Markov chain $(θ_t)_{t\geq 1}$. This proxy model defines a so-called self-organizing SSM (SO-SSM) to which one may apply standard particle filters. However, the practical implementation of this idea in a theoreticall…

Dynamics of thin film flows on a vertical fibre with vapor absorption
Souradip Chattopadhyay, Zihao Yu, Y. Sungtaek Ju, Hangjie Ji
https://arxiv.org/abs/2505.22379

Dynamics of thin film flows on a vertical fibre with vapor absorption
Water vapor capture through free surface flows plays a crucial role in various industrial applications, such as liquid desiccant air conditioning systems, water harvesting, and dewatering. This paper studies the dynamics of a silicone liquid sorbent (also known as water-absorbing silicone oil) flowing down a vertical cylindrical fibre while absorbing water vapor. We propose a one-sided thin-film-type model for these dynamics, where the governing equations form a coupled system of nonlinear four…

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li, Jielin Feng, Jun Han, Qibao Zheng, Jianfeng Feng, Siming Chen
https://arxiv.org/abs/2505.23730

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
The Digital Twin Brain (DTB) is an advanced artificial intelligence framework that integrates spiking neurons to simulate complex cognitive functions and collaborative behaviors. For domain experts, visualizing the DTB's simulation outcomes is essential to understanding complex cognitive activities. However, this task poses significant challenges due to DTB data's inherent characteristics, including its high-dimensionality, temporal dynamics, and spatial complexity. To address these challenges,…

Many Will Enter, Few Will Win: Cost and Sensitivity of Exploratory Dynamics
Elena F Koslover, Milo M Lin, Rob Phillips
https://arxiv.org/abs/2506.00775 htt…

Many Will Enter, Few Will Win: Cost and Sensitivity of Exploratory Dynamics
A variety of biomolecular systems rely on exploratory dynamics to reach target locations or states within a cell. Without a mechanism to remotely sense and direct motion towards a target, the system must sample over many paths, often including resetting transitions back to the origin. We explore how exploratory dynamics can confer an important functional benefit: the ability to respond to small changes in parameters with large shifts in the steady-state behavior. However, such enhanced sensitiv…

Potassium Decoration on Graphenyldiene Monolayer for Advanced Reversible Hydrogen Storage
Jose A. S. Laranjeira, Nicolas F. Martins, Kleuton A. L. Lima, Bill. D. Aparicio-Huacarpuma, Luiz A. Ribeiro Junior, Xihao Chen, Douglas S. Galvao, Julio R. Sambrano
https://arxiv.org/abs/2506.00604…

Potassium Decoration on Graphenyldiene Monolayer for Advanced Reversible Hydrogen Storage
Potassium-decorated graphenyldiene (K@GPD) is investigated as a promising two-dimensional material for reversible hydrogen storage using first-principles density functional theory calculations. Potassium atoms bind strongly to the GPD monolayer, and ab initio molecular dynamics (AIMD) simulations confirm the thermal stability of the functionalized system at 300 K. Hydrogen adsorption energies range from -0.11 to -0.14 eV per H$_2$, denoting reversible storage. At full coverage (18 H$_2$ molecul…

This https://arxiv.org/abs/2501.13774 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

A mathematical model of CAR-T cell therapy in combination with chemotherapy for malignant gliomas
We study the dynamics and interactions between combined chemotherapy and chimeric antigen receptor (CAR-T) cells therapy and malignant gliomas (MG). MG is one of the most common primary brain tumor, with high resistance to therapy and unfavorable prognosis. Here, we develop a mathematical model that describes the application of chemo- and CAR-T cell therapies and the dynamics of sensitive and resistant populations of tumor cells. This model is a five-dimensional dynamical system with impulsive …

Viewing large language models as compression machines helps explain why they seem at turns big-brained and pea-brained. To learn more, join me for Honey, AI Shrunk the Archive, an IEEE/UMaine AI webinar next Thursday 3 April at noon Eastern
https://ai.umaine.edu/webinars

This https://arxiv.org/abs/2308.13140 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Deep reinforcement learning (RL) excels in various control tasks, yet the absence of safety guarantees hampers its real-world applicability. In particular, explorations during learning usually results in safety violations, while the RL agent learns from those mistakes. On the other hand, safe control techniques ensure persistent safety satisfaction but demand strong priors on system dynamics, which is usually hard to obtain in practice. To address these problems, we present Safe Set Guided Stat…

This https://arxiv.org/abs/2310.16878 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Topological holography, quantum criticality, and boundary states
Topological holography is a holographic principle that describes the generalized global symmetry of a local quantum system in terms of a topological order in one higher dimension. This framework separates the topological data from the local dynamics of a theory and provides a unified description of the symmetry and duality in gapped and gapless phases of matter. In this work, we develop the topological holographic picture for (1+1)d quantum phases, including both gapped phases as well as a wide…

This https://arxiv.org/abs/2402.04990 has been replaced.
link: https://scholar.google.com/scholar?q=a

The possibility for panspermia in the galaxy by means of planetary dust grains
By obtaining the assumption that planetary dust particles can escape from the gravitational attraction of a planet, we consider the possibility for the dust grains to leave the star's system by means of the radiation pressure. By taking the typical dust parameters into account, we consider their dynamics and show that they can reach the deep cosmos, taking part in panspermia. It has been shown that, during $5$ billion years, the dust grains will reach $10^5$ stellar systems, and by taking the D…

This https://arxiv.org/abs/2503.19704 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

Can Invisible Psychological Traits Organize Visible Network Structure? A Complex Network Analysis of Myers-Briggs Type Indicator-Based Interaction Patterns in Anonymous Social Networks
Exploration of the impact of personality traits on social interactions within anonymous online communities poses a challenge at the interface of networked social sciences and psychology. We analyze whether Myers-Briggs Type Indicator (MBTI) personality types impact the dynamics of interactions on an anonymous chat system with over 288,000 messages from 6,076 users. Using a data set including 940 users voluntarily providing MBTI typing and gender, we create a weighted undirected network and appl…

This https://arxiv.org/abs/2505.20572 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Conserved Quantities in the Lorenz System
The Lorenz system, a seminal model in chaos theory, is renowned for its complex dynamics and sensitive dependence on initial conditions. This work investigates conserved quantities within the standard Lorenz equations. The system exhibits phase space volume contraction, a characteristic of dissipative systems. Despite the common understanding suggesting an absence of conserved quantities in its typical chaotic parameter regimes, this study demonstrates that the Lorenz system possesses at least …

Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning
Jinbao Wang, Shiliang Zhang, Jun Liu, Xuehui Ma, Haolin Liu
https://arxiv.org/abs/2505.24572

Fine-tuning for Data-enabled Predictive Control of Noisy Systems by Reinforcement Learning
Data-enabled predictive control (DeePC) leverages system measurements in characterizing system dynamics for optimal control. The performance of DeePC relies on optimizing its hyperparameters, especially in noisy systems where the optimal hyperparameters adapt over time. Existing hyperparameter tuning approaches for DeePC are more than often computationally inefficient or overly conservative. This paper proposes an adaptive DeePC where we guide its hyperparameters adaption through reinforcement …

Dynamic signature of the thermodynamic transition in a novel mean field system
Ehtesham Anwar, Ujjwal Kumar Nandi, Palak Patel, Sanket Kumawat, Sarika Maitra Bhattacharyya
https://arxiv.org/abs/2505.23371

Dynamic signature of the thermodynamic transition in a novel mean field system
Understanding the connection between thermodynamics and dynamics in glass-forming liquids remains a central challenge in condensed matter physics. In this study, we investigate a novel model system that enables a continuous crossover from a standard three dimensional liquid to a fully connected mean field like system by introducing pseudo neighbours. These pseudo neighbours enhance the effective connectivity of the system without altering its local structure. While their presence slows down the…

This https://arxiv.org/abs/2505.16020 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Holstein mechanism in single-site model with unitary evolution
We consider the Holstein mechanism in single electron (one-site) system with unitary evolution that is intrinsic to both the fermion and boson operators in the case of nonadiabatic limit. The unitary dynamics as well as boson-frequency-dependence provide the evidence of quantum phase transition from the distinct behaviors at short-time and long-time stages, which exhibit power law and exponential law decay, respectively, as can be seem from the polaronic shift.

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
Michael Tang, Miroslav Krstic, Jorge Poveda
https://arxiv.org/abs/2505.24112 https://…

Deception in Oligopoly Games via Adaptive Nash Seeking Systems
In the theory of multi-agent systems, deception refers to the strategic manipulation of information to influence the behavior of other agents, ultimately altering the long-term dynamics of the entire system. Recently, this concept has been examined in the context of model-free Nash equilibrium seeking (NES) algorithms for noncooperative games. Specifically, it was demonstrated that players can exploit knowledge of other players' exploration signals to drive the system toward a ``deceptive" Nash…

Turns out that if you model online spaces after real world ones, it works pretty well. Online spaces let you be in many places at once which changes the dynamics, but as an example of something that ports well,
https://www.patternlanguageindex.com/patterns/intimacy-gradient
This pattern works not just for the design of houses but online spaces. Let people get to know a group in less-intimate space before they end up in the more-intimate space. Having a few gradations works really well, and it doesn't have to be a power play or status game.

Do you want to work at the forefront of managing environmental research? Interested in collaborating across Helmhoitz Centres (@…, @…, @…, @…) devoted to research for Earth & Environment? Then join my team in Halle (Germany)!
I am looking for a Research Manager helping us to prepare a topic on the processes and dynamics of the Earth surface system, its ecosystems, and biodiversity for the Helmholtz Programme funding 2028-2034. The position is limited from 7/2025-6/2027, up to 100%
Further details and online application here:
#ecology #biodiversity #ecosystems #job #earthsystems #earthsystemscience

Fermionic operatorial model of a system with competitive and cooperative interactions
M. Gorgone, G. Inferrera, F. Oliveri
https://arxiv.org/abs/2505.21554

Fermionic operatorial model of a system with competitive and cooperative interactions
An operatorial model of a system made by $N$ agents interacting each other with mechanisms that can be thought of as cooperative or competitive is presented. We associate to each agent an annihilation, creation and number fermionic operator, and interpret the mean values of the number operators over an initial condition as measures of the agents' wealth status. The dynamics of the system is assumed to be ruled by a Hermitian Hamiltonian operator $\mathcal{H}$, and the classical Heisenberg view …

Accelerated ultrafast demagnetization of an interlayer-exchange-coupled Co/Mn/Co trilayer
Jendrik G\"ordes, Ivar Kumberg, Chowdhury S. Awsaf, Marcel Walter, Tauqir Shinwari, Sangeeta Thakur, Sangeeta Sharma, Christian Sch\"u{\ss}ler-Langeheine, Niko Pontius, Wolfgang Kuch
https://arxiv.org/abs/2505.24547

Accelerated ultrafast demagnetization of an interlayer-exchange-coupled Co/Mn/Co trilayer
We investigate the ultrafast magnetization dynamics of an interlayer-exchange-coupled Co/Mn/Co trilayer system after excitation with an ultrafast optical pump. We probe element- and time-resolved ferromagnetic order by X-ray magnetic circular dichroism in resonant reflectivity. We observe an accelerated Co demagnetization time in the case of weak total parallel interlayer coupling at 9.5 ML Mn thickness for antiparallel alignment of both Co layers compared to parallel alignment as well as for p…

This https://arxiv.org/abs/2501.02485 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Semi-analytic construction of global transfers between quasi-periodic orbits in the spatial R3BP
Consider the spatial restricted three-body problem, as a model for the motion of a spacecraft relative to the Sun-Earth system. We focus on the dynamics near the equilibrium point $L_1$, located between the Sun and the Earth. We show that we can transfer the spacecraft from a quasi-periodic orbit that is nearly planar relative to the ecliptic to a quasi-periodic orbit that has large vertical amplitude, at zero energy cost. (In fact, the final orbit has the maximum vertical amplitude that can be…

Learning-Based Robust Fixed-Time Terminal Sliding Mode Control
Chaimae El Mortajinea, Moussa Labbadib, Adnane Saoudc, Mostafa Bouzia
https://arxiv.org/abs/2505.22827

Learning-Based Robust Fixed-Time Terminal Sliding Mode Control
In this paper, we develop and analyze an integral fixed-time sliding mode control method for a scenario in which the system model is only partially known, utilizing Gaussian processes. We present two theorems on fixed-time convergence. The first theorem addresses the fully known system model, while the second considers situations where the system's drift is approximated utilizing Gaussian processes (GP) for approximating unknown dynamics. Both theorems establish the global fixed-time stability …

This https://arxiv.org/abs/2409.11247 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Birth control and turnpike property of Lotka-McKendrick models with diffusion
In this paper, we study the turnpike property in age structured population dynamics with birth control. These models describe the temporal evolution of one or more populations, incorporating age dependence and spatial structure. To this end, we first establish the null controllability of the system: we prove that for any T > A and any initial datum in L2(Omega x (0,A)), the population can be driven to zero using control functions that are spatially localized in time but act only at age a = 0. W…

This https://arxiv.org/abs/2308.13614 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

The role of interior dynamics and differentiation on the surface and atmosphere of lava planets
Lava planets are rocky exoplanets that orbit so close to their host star that their day-side is hot enough to melt silicate rock. Their short orbital periods ensure that lava planets are tidally locked into synchronous rotation, with permanent day and night hemispheres. Such asymmetric magma oceans have no analogs in the Solar System and will exhibit novel fluid dynamics. Here we report numerical simulations of lava planet interiors showing that solid-liquid fractionation in the planetary int…

Measuring inequality in society-oriented Lotka--Volterra-type kinetic equations
Marco Menale, Giuseppe Toscani
https://arxiv.org/abs/2505.15526 https://

Measuring inequality in society-oriented Lotka--Volterra-type kinetic equations
We present a possible approach to measuring inequality in a system of coupled Fokker-Planck-type equations that describe the evolution of distribution densities for two populations interacting pairwise due to social and/or economic factors. The macroscopic dynamics of their mean values follow a Lotka-Volterra system of ordinary differential equations. Unlike classical models of wealth and opinion formation, which tend to converge toward a steady-state profile, the oscillatory behavior of these …

Dynamical detection of extended nonergodic states in many-body quantum systems
David A. Zarate-Herrada, Isa\'ias Vallejo-Fabila, Lea F. Santos, E. Jonathan Torres-Herrera
https://arxiv.org/abs/2505.23910

Dynamical detection of extended nonergodic states in many-body quantum systems
Fractal dimensions are tools for probing the structure of quantum states and identifying whether they are localized or delocalized in a given basis. These quantities are commonly extracted through finite-size scaling, which limits the analysis to relatively small system sizes. In this work, we demonstrate that the correlation fractal dimension $D_2$ can be directly obtained from the long-time dynamics of interacting many-body quantum systems. Specifically, we show that it coincides with the exp…

Nematic ordering in active fluids driven by substrate deformations: Mechanisms and patterning regimes
Varun Venkatesh, Amin Doostmohammadi
https://arxiv.org/abs/2505.24639

Nematic ordering in active fluids driven by substrate deformations: Mechanisms and patterning regimes
The interplay between active matter and its environment is central to understanding emergent behavior in biological and synthetic systems. Here, we show that coupling active nematic flows to small-amplitude deformations of a compliant substrate can fundamentally reorganize the system's dynamics. Using a model that combines active nematohydrodynamics with substrate mechanics, we find that contractile active nematics-normally disordered in flat geometries-undergo a sharp transition to long-range …

Conserved Quantities in the Lorenz System
B. A. Toledo
https://arxiv.org/abs/2505.20572 https://arxiv.org/pdf/2505.20572

Conserved Quantities in the Lorenz System
The Lorenz system, a seminal model in chaos theory, is renowned for its complex dynamics and sensitive dependence on initial conditions. This work investigates conserved quantities within the standard Lorenz equations. The system exhibits phase space volume contraction, a characteristic of dissipative systems. Despite the common understanding suggesting an absence of conserved quantities in its typical chaotic parameter regimes, this study demonstrates that the Lorenz system possesses at least …

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Kosei Tsuji, Ichiro Maruta, Kenji Fujimoto, Tomoyuki Maeda, Yoshihisa Tamase, Tsukasa Shinohara
https://arxiv.org/abs/2505.23138

System Identification for Virtual Sensor-Based Model Predictive Control: Application to a 2-DoF Direct-Drive Robotic Arm
Nonlinear Model Predictive Control (NMPC) offers a powerful approach for controlling complex nonlinear systems, yet faces two key challenges. First, accurately modeling nonlinear dynamics remains difficult. Second, variables directly related to control objectives often cannot be directly measured during operation. Although high-cost sensors can acquire these variables during model development, their use in practical deployment is typically infeasible. To overcome these limitations, we propose a…

Rules, agents and order
Amalia Puente, Diego Radillo-Ochoa, C. A. Terrero-Escalante
https://arxiv.org/abs/2505.23985 https://arxiv.or…

Rules, agents and order
Complex systems often exhibit highly structured network topologies that reflect functional constraints. In this work, we investigate how, under varying combinations of system-wide selection rules and special agents, different classes of random processes give rise to global order, with a focus restricted to finite-size networks. Using the large-$N$ Erdos-Renyi model as a null baseline, we contrast purely random link-adding processes with goal-directed dynamics, including variants of the chip-fir…

This https://arxiv.org/abs/2502.09300 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Optimal response for stochastic differential equations by local kernel perturbations
We consider a random dynamical system on $\mathbb{R}^d$, whose dynamics is defined by a stochastic differential equation. The annealed transfer operator associated with such systems is a kernel operator. Given a set of feasible infinitesimal perturbations $P$ to this kernel, with support in a certain compact set, and a specified observable function $ϕ: \mathbb{R}^d \to \mathbb{R}$, we study which infinitesimal perturbation in $P$ produces the greatest change in expectation of $ϕ$. We establis…

This https://arxiv.org/abs/2402.11229 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Spin dynamics and dark particle in a weak-coupled quantum Ising ladder with $\mathcal{D}_8^{(1)}$ spectrum
Emergent Ising$_h^2$ integrability is anticipated in a quantum Ising ladder composed of two weakly-coupled critical transverse field Ising chains. The system is remarkable for including eight types of massive relativistic particles, with their scattering matrix and mass spectrum characterized by the $\mathcal{D}_8^{(1)}$ Lie algebra. In this article, by computing the spin dynamical structure factors following analytical form factor approach, we clearly identify dispersive single-particle excita…

Input-Power-to-State Stability of Time-Varying Systems
Hernan Haimovich, Shenyu Liu, Antonio Russo, Jose L. Mancilla-Aguilar
https://arxiv.org/abs/2505.24805

Input-Power-to-State Stability of Time-Varying Systems
When the state of a system may remain bounded even if both the input amplitude and energy are unbounded, then the state bounds given by the standard input-to-state stability (ISS) and integral-ISS (iISS) properties may provide no useful information. This paper considers an ISS-related concept suitable in such a case: input-power-to-state stability (IPSS). Necessary and sufficient conditions for IPSS are developed for time-varying systems under very mild assumptions on the dynamics. More precise…

Investigation of Martian UV Dayglow Emissions in the Southern Hemisphere during Solar Quiet-time Conditions: Insights from Multi-year MAVEN/IUVS Observations
Aadarsh Raj Sharma, Lot Ram, Sumanta Sarkhel
https://arxiv.org/abs/2505.13977

Investigation of Martian UV Dayglow Emissions in the Southern Hemisphere during Solar Quiet-time Conditions: Insights from Multi-year MAVEN/IUVS Observations
The southern hemisphere of Mars possesses concentrated region of strong crustal magnetic fields (CMF), which generate localized magnetic anomalies that can influence atmospheric dynamics and energy deposition in the Martian thermospheric-ionospheric system. Although their effects on the atmosphere (>200 km) in the southern hemisphere are well documented, however their role in modulating the behavior of atmospheric plasma and neutrals below 200 km are poorly understood. The atmosphere at these a…

This https://arxiv.org/abs/2412.04352 has been replaced.
initial toot: https://mastoxiv.page/@a…

Emergent Weyl-like points in periodically modulated systems and Floquet engineering
We investigate a three-dimensional (3D) topological phase resembling a Weyl semimetal, modulated by a periodic potential and engineered through Floquet dynamics. This system is constructed by stacking two-dimensional Chern insulators and hosts Weyl-like points defined in the parameter space $(k_x, k_y, z)$, distinct from conventional Weyl points in momentum space $(k_x, k_y, k_z)$. The Weyl-semimetal-like phase exhibits characteristics akin to those of Weyl semimetals, including linear dispersi…

Synchronization of identical oscillators on a sphere: exact results with external forces and higher-order interactions
Guilherme S. Costa, Marcel Novaes, Ricardo Fariello, Marcus A. M. de Aguiar
https://arxiv.org/abs/2505.17255

Synchronization of identical oscillators on a sphere: exact results with external forces and higher-order interactions
We study the dynamics of the Kuramoto model on the sphere under higher-order interactions and an external periodic force. For identical oscillators, we introduce a novel way to incorporate three- and four-body interactions into the dynamics of the order parameter, allowing for a full dimensional reduction of this system. We discuss how such reduction can be implemented in two different ways and how they are related. When restricted to the equator, the dynamics is similar to that of the usual Ku…

#gsa #nyc #columbia #climate
The original Charney Report that says doubling CO2 will yield 1.5-4.5 degrees C temperature change (
#NOAA 's #GFDL and #NASA 's #GISS - incidentally, gfdl was also in the news yesterday
https://www.propublica.org/article/trump-noaa-budget-cuts-climate-change-modeling-princeton-gfdl
" The gutting of NOAA was outlined earlier this month in a leaked memo from the Office of Management and Budget that detailed steep reductions at the Department of Commerce, which houses the science agency. ... NOAA’s overall funding would be slashed by 27%…
most significant target is the office of Oceanic and Atmospheric Research ⎯ a nerve center of global climate science, data collection and modeling, including the Geophysical Fluid Dynamics Laboratory ⎯ which would be cut by 74%. “At this funding level, OAR is eliminated as a line office,” the memo stated.”

This https://arxiv.org/abs/2505.05420 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Robustly optimal dynamics for active matter reservoir computing
Information processing abilities of active matter are studied in the reservoir computing (RC) paradigm to infer the future state of a chaotic signal. We uncover an exceptional regime of agent dynamics that has been overlooked previously. It appears robustly optimal for performance under many conditions, thus providing valuable insights into computation with physical systems more generally. The key to forming effective mechanisms for information processing appears in the system's intrinsic relax…

Symmetry breaking in time-dependent billiards
Anne K\'etri Pasquinelli da Fonseca, Edson Denis Leonel
https://arxiv.org/abs/2505.20488 https://

Symmetry breaking in time-dependent billiards
We investigate symmetry breaking in a time-dependent billiard that undergoes a continuous phase transition when dissipation is introduced. The system presents unlimited velocity, and thus energy growth for the conservative dynamics. When inelastic collisions are introduced between the particle and the boundary, the velocity reaches a plateau after the crossover iteration. The system presents the expected behavior for this type of transition, including scale invariance, critical exponents relate…

This https://arxiv.org/abs/2503.14363 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_nli…

Transitions to Intermittent Chaos in Quorum Sensing Dynamics
This study analyses the dynamical consequences of heterogeneous temporal delays within a quorum sensing-inspired (QS-inspired) system, specifically addressing the differential response kinetics of two sub-populations to signalling molecules. A nonlinear delay differential equation (DDE) model, predicated upon an activator-inhibitor framework, is formulated to represent the interspecies interactions. Key analytical techniques, including the derivation of the pseudo-characteristic polynomial and …