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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

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48 results for Subsystems

Flat systems of up to 2 dimensions have flat subsystems.

problem Characterizing flat subsystems in flat systems of differential dimension 2.
method Analyzing subsystems of a flat system of differential dimension at most 2.
result Flat subsystems of a flat system of differential dimension at most 2 exist and can have independent time-uniform outputs.

Study reveals dynamic causal relationships between Ethereum transaction fees and economic subsystems.

problem Historical gas fee volatility caused economic disequilibria and stakeholder challenges.
method Time-varying Granger causality analysis using data on active wallets and transaction volume.
result Dynamic bidirectional causal relationships between transaction fees and economic subsystems across Ethereum.

Many systems of interest in science and engineering are made up of interacting subsystems. These subsystems, in turn, could be made up of collections of smaller interacting subsystems and so on. In a series of papers David Spivak with collaborators formalized these kinds of structures (systems of systems) as algebras o…

2016-02-02abs ↗pdf ↗

Machine learning predicts Mars Express spacecraft's thermal power consumption.

problem Accurately predict Mars Express spacecraft's thermal power consumption for optimal operation planning.
method State-of-the-art feature engineering and machine learning methods.
result The proposed pipeline improves predictive performance and efficiency.

The problem of optimal switching between nonlinear autonomous subsystems is investigated in this study where the objective is not only bringing the states to close to the desired point, but also adjusting the switching pattern, in the sense of penalizing switching occurrences and assigning different preferences to util…

2014-11-17abs ↗pdf ↗

Federated learning interprets temporal dynamics across clients with graph attention.

problem Interpreting temporal patterns across decentralized, heterogeneous systems with nonlinear dynamics.
method Graph Attention Network for learning state transition models over latent states communicated between clients.
result First interpretable characterization of cross-client temporal interdependencies in decentralized nonlinear systems.

Redundancy in AI perception systems doesn't guarantee independent error occurrences.

problem Lack of direct statistical evidence of super-human automated driving performance.
method Investigated the effectiveness of redundancy in neural networks for independent error occurrences.
result Errors in neural networks for computer vision tasks are correlated, not independent.

Framework predicts remaining useful life of DSH subsystems under unknown failure modes.

problem Predicting remaining useful life of DSH subsystems with unknown failure modes.
method Unsupervised framework using mixture of Gaussian regressions and Expectation-Maximization algorithm.
result Improved prediction accuracy and interpretability of RUL.

The paper studies time-optimal problems on specific Lie groups, describing orbits and integrals.

problem Time-optimal control problems on two-step Carnot groups.
method Description of co-adjoint orbits, Casimir functions, and integrals for the Hamiltonian system.
result Characterization of the flow and constancy of solutions for two-dimensional co-adjoint orbits.

This paper measures temperature in agent systems using volatility.

problem How to measure temperature in agent systems.
method Examined an agent system with two decision options in a news environment, established the measurement equation, and outlined the concept of temperature measurement.
result Illustrated a strategy for influencing average opinion in competing subsystems.

We analyze the Ricci flow of a noncompact metric that describes a two-dimensional black hole. We consider entanglement entropy of a 2d black hole which is due to the quantum correlations between two subsystems: one is inside and the other is outside the black hole horizon. It is demonstrated that the entanglement entro…

2006-09-06abs ↗pdf ↗

New definitions of ESP for quantum reservoir computing handle non-stationary systems.

problem Traditional ESP does not apply to non-stationary systems.
method Introduce two new categories of ESP: non-stationary ESP and subset/subspace ESP.
result Demonstrates correspondence between non-stationary ESP and QRC with NARMA tasks.

Study local models for special Kähler metrics near discriminant locus components.

problem Analyzing singularities of special Kähler metrics along discriminant locus of SL2(C)\mathrm{SL}_2(\mathbb{C}) Hitchin base.
method Computed Taylor expansion, defined subsystems, and analyzed asymptotics and convergence of metrics.
result Logarithmic asymptotics in transversal directions and convergence to a metric on strata.

One can formulate the classical Kepler problem on the Heisenberg group, the simplest sub-Riemannian manifold. We take the sub-Riemannian Hamiltonian as our kinetic energy, and our potential is the fundamental solution to the Heisenberg sub-Laplacian. The resulting dynamical system is known to contain a fundamental inte…

2013-11-23abs ↗pdf ↗

One approach to monitoring a dynamic system relies on decomposition of the system into weakly interacting subsystems. An earlier paper introduced a notion of weak interaction called separability, and showed that it leads to exact propagation of marginals for prediction. This paper addresses two questions left open by t…

2012-06-27abs ↗pdf ↗

We extend our previous classification of superpotentials of ``scalar curvature type" for the cohomogeneity one Ricci-flat equations. We now consider the case not covered in our previous paper, i.e., when some weight vector of the superpotential lies outside (a scaled translate of) the convex hull of the weight vectors …

2007-04-02abs ↗pdf ↗

When the Poincaré map associated with a periodic orbit of a hybrid dynamical system has constant-rank iterates, we demonstrate the existence of a constant-dimensional invariant subsystem near the orbit which attracts all nearby trajectories in finite time. This result shows that the long-term behavior of a hybrid model…

2011-09-08abs ↗pdf ↗

Model captures neural activity related to behavior while separating internal computations.

problem Capturing neural activity related to behavior from complex brain recordings.
method Behavior-decomposed linear dynamical systems (b-dLDS) model.
result Improves over state-of-the-art models in disentangling behavior-related dynamics.

Study builds complex network from multimodal physiological data.

problem Understanding dynamic interactions in biological systems.
method Network-based multimodal data fusion using recurrence plots and temporal metrics.
result Model accurately characterizes emotional states through physiological responses.

A recent proposal by Ryu and Takayanagi for a holographic interpretation of entanglement entropy in conformal field theories dual to supergravity on anti-de Sitter (adS) is generalized to include entanglement entropy of black holes living on the boundary of adS. The generalized proposal is verified in boundary dimensio…

2006-06-21abs ↗pdf ↗

We use the conformal invariance and the holographic correspondence to fully specify the dependence of entanglement entropy on the extrinsic geometry of the 2d surface ΣΣ that separates two subsystems of quantum strongly coupled N=4{\mathcal{N}}=4 SU(N) superconformal gauge theory. We extend this result and calculate en…

2008-02-21abs ↗pdf ↗

This paper examines probabilistic sampling weighted by uncertainty in active learning.

problem Improving efficiency and effectiveness in active learning.
method Probabilistic sampling weighted by uncertainty, implemented in a single-pass streaming fashion.
result Using probabilistic weighting often benefits active learning, especially with biased initial labeled points.

We associate a root system to a finite set in a free abelian group and prove that its irreducible subsystem is of type A, B or D. We apply this general result to a torus manifold, where a torus manifold is a 2n2n-dimensional connected closed smooth manifold with a smooth effective action of an nn-dimensional compact t…

2015-03-18abs ↗pdf ↗

Paper presents a new dataset for testing causal discovery methods in industrial systems.

problem Lack of real-world datasets for evaluating causal discovery methods on time series data.
method Develops a dataset from an industrial system and its known causal graph.
result Provides a benchmark for evaluating causal discovery methods in complex systems.

Consider an immersed Legendrian surface in the five dimensional complex projective space equipped with the standard homogeneous contact structure. We introduce a class of fourth order projective Legendrian deformation called \emph{Ψ\,Ψ-deformation}, and give a differential geometric characterization of surfaces admitt…

2011-07-21abs ↗pdf ↗

Tensor networks reveal limitations for efficient text description but suggest potential for images.

problem Efficiently describing large text and image data sets using tensor networks.
method Investigation of mutual information scaling, introduction of mutual information estimators, and use of autoregressive and convolutional neural networks.
result Text data cannot be efficiently described by 1D tensor networks, while images may be better described by 2D tensor networks.

Study MMD for critical transitions in fast-slow systems, showing it's a good binary classifier.

problem Detecting change points in multiscale systems with critical transitions.
method Link between dynamical theory of critical transitions and statistical MMD, leading-order approximation.
result MMD is a good binary classifier for detecting change points in critical transitions.

We describe a class (called regular) of invariant generalized complex structures on a real semisimple Lie group G. The problem reduces to the description of admissible pairs (\gk, ω), where \gk is an appropriate regular subalgebra of the complex Lie algebra \gg^{C} associated to G and ωis a closed 2-form on \gk, such t…

2010-09-06abs ↗pdf ↗

Introduces R-SSM for modeling multi-object dynamics with GNNs and normalizing flows.

problem Complex interactions and evolutions in multi-object systems are hard to model.
method Relational state-space model (R-SSM) using graph neural networks (GNNs) and normalizing flows.
result Empirically validated on synthetic and real datasets.

Zero-energy orbits in the Kepler-Heisenberg problem are self-similar and stratify into three families.

problem Determining the motion of a planet around a sun in the Heisenberg group.
method Analysis of the sub-Riemannian Hamiltonian and sub-Laplacian dynamics.
result Zero-energy orbits are self-similar and stratify into future collision, past collision, and quasi-periodic families.

Computer program finds flower-like periodic orbits in Kepler-Heisenberg problem.

problem Motion of a planet around a sun in the sub-Riemannian Heisenberg group.
method Monte Carlo optimization with a shooting method and a symplectic integrator.
result Discovery of a family of flower-like periodic orbits with new symmetry types.

A new metriplectic system on contact manifolds is introduced for thermodynamic consistency.

problem Developing a thermodynamically consistent dynamical system on contact manifolds.
method Introducing a metriplectic dynamical system on the one-jet bundle J1NJ^1N.
result The metriplectic system is thermodynamically consistent, with H˙=0\dot{H} = 0 and S˙0\dot{S} \geq 0.