Research
On-device research index

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.

169,051 papers · 148 categories

Trend · papers per month

25.0%50.0%75.0%100.0% · May 199319922001200920182026
48 results for dynamic boundary

Study sharp interface limit of Allen-Cahn equation to characterize mean curvature flow with boundary conditions.

problem Characterizing mean curvature flow with Dirichlet or dynamic boundary conditions.
method Varifold formulation, phase field method, extending Brakke flow.
result Sharp interface limit of Allen-Cahn equation converges to mean curvature flow with boundary conditions.

Proposes a new method for constrained generative modeling using Langevin dynamics.

problem Challenges in satisfying underlying constraints with score-based generative models.
method Uses kinetic Langevin dynamics with specular reflection to model constraints.
result Demonstrates efficient numerical samplers with optimal convergence rates.

This work proves Kerr black holes are dynamically stable under certain perturbations.

problem Dynamical stability of Kerr black holes under axially symmetric perturbations.
method Dimensional reduction to 2+1 Einstein-wave map system, construction of positive-definite energy functional, proving boundary terms vanish.
result Strictly conserved positive energy for axially symmetric linear perturbations of Kerr black holes.

The paper studies topological and dynamic properties of boundaries in geometric group actions.

problem Understanding the topological and dynamic properties of boundaries in geometric group actions.
method Developed and studied sublinearly Morse and quasi-redirecting boundaries for proper geodesic spaces with geometric group actions.
result Proved that the action of a group on the boundaries is minimal and that the boundaries are topological spaces.

New algorithm improves convergence for non-convex problems with boundaries.

problem Optimizing non-convex problems with constraints.
method Reflected Gradient Langevin Dynamics with probabilistic representation.
result Promising convergence rates, faster than existing methods.

Framework expands particle filtering to estimate states beyond prior boundaries.

problem Limitations of traditional particle filtering in estimating states outside prior support.
method Diffusion-Enhanced Particle Filtering Framework with adaptive diffusion, entropy-driven regularisation, and kernel-based perturbations.
result Framework significantly improves state estimation accuracy and success rates for out-of-boundary targets.

We introduce new techniques for studying boundary dynamics of CAT(0) groups. For a group GG acting geometrically on a CAT(0) space XX we show there is a flat FXF\subset X of maximal dimension whose boundary sphere intersects every minimal GG-invariant subset of X\partial_\infty X. As a result we derive a necessary …

2011-02-15abs ↗pdf ↗

Boundary properties of hyperbolic groups are invariant under a maximization procedure.

problem Proving boundary properties of hierarchically hyperbolic groups are invariant.
method Proving boundary invariance under a maximization procedure.
result Boundary properties of hierarchically hyperbolic groups are invariant under maximization.

Study boundary actions of CAT(0) spaces and their CC^*-algebras.

problem Investigate boundary actions of CAT(0) spaces and their associated CC^*-algebras.
method Topological dynamics and CC^*-algebras, focusing on actions of specific groups and their properties.
result Established (strongly) pure infiniteness results for reduced crossed product CC^*-algebras of boundary actions.

Study optimal times to buy and sell stocks using support/resistance lines.

problem Optimal times to buy and sell stocks based on support and resistance lines.
method Mathematical model with probabilistic methods to solve optimal stopping problems.
result Best times to buy and sell stocks are determined by solving free boundary problems.

We give a dynamical characterisation of odd-dimensional balls within the class of all contact manifolds whose boundary is a standard even-dimensional sphere. The characterisation is in terms of the non-existence of short periodic Reeb orbits.

2014-01-15abs ↗pdf ↗

A new classifier improves one-class predictions on unevenly sampled data.

problem Non-uniformly sampled data affects one-class classifier performance.
method Dynamic decision boundary based on minimum spanning tree.
result Proves effectiveness and robustness compared to state-of-the-art classifiers.

Paper examines floating exercise boundaries for American options in time-inhomogeneous models.

problem Floating exercise boundaries in time-inhomogeneous models with negative interest rates or yields.
method Semi-analytical approach for pricing American options.
result Specialized pricing methodologies are required for models with floating exercise boundaries.

Characterizes convex cocompact actions in projective space with dynamical properties.

problem Understanding convex cocompact group actions in projective space.
method Dynamical characterization and expansion property analysis.
result Equivalence of convex cocompactness to an expansion property in different Grassmannians.

Closed-form solution found for American put option boundary.

problem Finding the optimal exercise boundary for American put options.
method Three models of stock price dynamics with time-dependent parameters, leading to a closed-form solution for the exercise boundary.
result Explicit closed-form solution for the optimal exercise boundary of American put options.

Characterizes billiard and quasigeodesic flows in polyhedral convex bodies.

problem Characterizing billiard and quasigeodesic flows in polyhedral convex bodies.
method Alexandrov geometry methods.
result Optimal regularity result for convex bodies: billiard dynamics is continuous if boundary is of class C2,1\mathcal{C}^{2,1}.

In this paper, we prove a limit set intersection theorem in relatively hyperbolic groups. Our approach is based on a study of dynamical quasiconvexity of relatively quasiconvex subgroups. Using dynamical quasiconvexity, many well-known results on limit sets of geometrically finite Kleinian groups are derived in general…

2010-09-08abs ↗pdf ↗

Novel approach analyzes ReLU networks' training dynamics and proposes GmP for improved optimization.

problem Stochastic optimization instability in ReLU networks impedes convergence and generalization.
method Characteristic activation boundaries analysis and Geometric Parameterization (GmP) technique.
result GmP resolves instability, leading to better optimization, convergence, and generalization.

We prove uniform north-south dynamics type results for the action of φOut(FN)\varphi\in Out(F_{N}) on the space of projectivized geodesic currents PCurr(S)=PCurr(FN)\mathbb{P}Curr(S)=\mathbb{P}Curr(F_{N}), where φ\varphi is induced by a pseudo-Anosov homeomorphism on a compact surface S with boundary such that π1(S)=FNπ_{1}(S)=F_{N}. As an appli…

2013-11-06abs ↗pdf ↗

Physics-informed methods infer spatial dynamics from static snapshots, but limits exist.

problem Inferring spatial dynamics from static molecular patterns.
method Combining flexible representations with mechanistic constraints, analyzing structural identifiability, and adapting physics-informed schemes.
result Static spatial patterns can identify spatially varying dynamics, but limits exist due to modeling choices.

Deep learning detects bifurcations in dynamical systems.

problem Predicting catastrophic changes in dynamical systems across sciences.
method Data-driven, physically-informed deep-learning framework for classifying dynamical regimes and characterizing bifurcation boundaries.
result Extracts topologically invariant features to detect bifurcation boundaries in unseen systems.

MOSAIC detects change points in dynamic networks with low-rank and sparse changes.

problem Detecting change points in dynamic networks with specific structural properties.
method Eigen-decomposition-based test with screened signals and residual-based adjustment.
result MOSAIC achieves minimax-optimal detection and testing rates.

Study SL2(R)\mathrm{SL}_2(\mathbb{R}) dynamics on one-holed tori moduli space.

problem Understanding SL2(R)\mathrm{SL}_2(\mathbb{R}) action on one-holed tori moduli space.
method Proved every orbit is either closed or dense, and Teichmuller flow escapes to infinity.
result Every orbit of SL2(R)\mathrm{SL}_2(\mathbb{R}) action on one-holed tori moduli space is either closed or dense, and Teichmuller flow escapes to infinity.

One-Class Boundary Peeling detects outliers efficiently and robustly.

problem Unsupervised outlier detection in diverse data distributions.
method One-Class Boundary Peeling uses flexible boundaries generated by one-class SVMs and iteratively peels them.
result One-Class Boundary Peeling outperforms state-of-the-art methods in synthetic data simulations.

Study on neuron dynamics for XOR classification with zero-margin.

problem Understanding neural network training dynamics in zero-margin classification problems.
method Analysis of Gaussian XOR problem, focusing on neuron block dynamics and generalization without margin assumptions.
result Neurons cluster into four directions and block-level signals evolve coherently, essential for reliable prediction in the Gaussian setting.

The paper develops a theory of conformal density at infinity for groups with contracting elements.

problem Understanding conformal dynamics at infinity for groups with contracting elements.
method Introducing a class of convergence boundary and establishing the basic theory of conformal density on it.
result Unified theory of conformal density on various boundaries for different types of groups.