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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.

168,695 papers · 148 categories

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4999148197 · May 202619922001200920172026
48 results for nonlinear flows

The paper studies frequency monotonicity for solutions of nonlinear equations under Ricci flow.

problem Frequency monotonicity for positive solutions of nonlinear equations under Ricci flow.
method Obtained parabolic frequency monotonicity for solutions of two nonlinear parabolic equations with bounded Ricci curvature.
result Established integral type Harnack inequalities using parabolic frequency monotonicity.

In this paper, we study a class of fully nonlinear metric flow on Kähler manifolds, which includes the J-flow as a special case. We provide a sufficient and necessary condition for the long time convergence of the flow, generalizing the result of Song-Weinkove. As a consequence, under the given condition, we solved the…

2009-04-21abs ↗pdf ↗

Localizes curvature estimates for evolving hypersurfaces under various flows.

problem Establishing curvature estimates for evolving hypersurfaces under different flow conditions.
method Adapted localization of Huisken--Stampacchia iteration method to fully nonlinear flows.
result Asymptotically sharp curvature pinching estimates for general flows.

Classifies ancient solutions to curvature flows, finding two main types.

problem Classifying ancient solutions to fully nonlinear curvature flows.
method Natural conditions on speed, convexity, noncollapsing, uniform two-convexity.
result Exactly two possibilities: self-similarly shrinking cylinder or rotationally symmetric translating soliton.

A new flow-based Bayesian filter tackles high-dimensional nonlinear stochastic systems.

problem Bayesian filtering for high-dimensional nonlinear systems is challenging due to non-Gaussian distributions and computational limitations.
method Integrates normalizing flows to construct a latent linear state-space model with efficient density estimation and sampling.
result Demonstrates superior accuracy and efficiency in numerical experiments.

The paper proves stability for a modified Bach flow on various manifolds.

problem Stability of gauge-modified Bach flow on manifolds.
method Linear stability proved via spectral bounds and Koiso identity generalization. Nonlinear stability for hyperbolic and Poincaré-Einstein spaces.
result Linear and nonlinear stability results for the Bach flow on specific manifolds.

We consider maps between Riemannian manifolds in which the map is a stationary point of the nonlinear Hodge energy. The variational equations of this functional form a quasilinear, nondiagonal, nonuniformly elliptic system which models certain kinds of compressible flow. Conditions are found under which singular sets o…

1999-08-31abs ↗pdf ↗

Paper confirms Thom's conjecture for nonlinear evolutions on manifolds.

problem Thom's gradient conjecture for nonlinear evolution equations.
method Extending and settling the conjecture in infinite dimensional problems using Łojasiewicz, L. Simon, and Kurdyka-Mostowski-Parusinski's foundational works.
result Uniqueness of the limiting direction and characterization of convergence rates for both classical and infinite dimensional settings.

In this paper we introduce the hyperbolic mean curvature flow and prove that the corresponding system of partial differential equations are strictly hyperbolic, and based on this, we show that this flow admits a unique short-time smooth solution and possesses the nonlinear stability defined on the Euclidean space with …

2010-04-16abs ↗pdf ↗

This study improves state estimation for nonlinear systems using conditional normalizing flows.

problem Performance degradation of traditional filtering algorithms in nonlinear systems with non-Gaussian uncertainty.
method Uses conditional normalizing flows with MLP, transformer, or state-space models for state and parameter estimation.
result Optimal-transport-inspired kinetic loss mitigates overparameterization in flows.

The paper studies a curvature flow on hypersurfaces in R^(n+1).

problem Analyzing the long-term behavior of a specific type of curvature flow.
method Examining a flow defined by a non-homogeneous anisotropic speed function.
result The flow converges to a sphere for star-shaped and k-convex initial hypersurfaces.

The paper studies minimal resistance dynamics in radial fields, finding unique solutions for incompressible flows.

problem Nonlinear dynamics of minimal resistance in radial fields.
method Analysis of two non-equilibrium scenarios: scale-invariant free expansion and incompressible source flow.
result Incompressible flow acts as a structural regularizer, admitting unique, smooth, and strictly concave solutions.

In this paper we introduce and study a new kind of hyperbolic geometric flows --dissipative hyperbolic geometric flow. This kind of flow is defined by a system of quasilinear wave equations with dissipative terms. Some interesting exact solutions are given, in particular, a new concept-- hyperbolic Ricci soliton is int…

2007-09-17abs ↗pdf ↗

Generalizes Hasimoto transformation to arbitrary flows on space curves.

problem Modeling and analyzing wave motions on space curves.
method Develops a mapping between curve evolution and scalar equations, transforming general vector fields in the Frenet frame.
result Binormal flows are generally length preserving but bending energy is fragile.

We consider a one-parameter family of closed, embedded hypersurfaces moving with normal velocity Gκ=(i<j1λi+λj2κ)1G_κ= \big ( \sum_{i < j} \frac{1}{λ_i+λ_j-2κ} \big )^{-1}, where $λ_1 \leq \hdots \leq λ_n$ denote the curvature eigenvalues and κκ is a nonnegative constant. This defines a fully nonlinear parabolic equation, provided t…

2015-07-16abs ↗pdf ↗

The paper proves an inequality and describes a curve flow in centro-affine geometry.

problem Proving the isoperimetric inequality in centro-affine plane geometry.
method Investigating a curve flow with centro-affine curvature, expressed as a nonlinear parabolic equation.
result Closed convex curves may converge to ellipses under the described flow.

A new DDR framework learns low-dimensional data representations using dynamical systems.

problem Learning efficient low-dimensional data representations.
method DDR framework based on nonlinear dynamical systems, using linear combinations of functions and regularization.
result DDR method outperforms other methods on synthetic and real datasets.

The paper studies how surfaces evolve in a cone under a specific flow.

problem Investigating the evolution of surfaces in a cone using a special flow.
method Analyzing a fully nonlinear parabolic Neumann problem under inverse curvature flow conditions.
result The evolving surfaces converge to a piece of the round sphere under certain conditions.

In this note, we study Q-curvature flow on S4S^4 with indefinite nonlinearity. Our result is that the prescribed Q-curvature problem on S4S^4 has a solution provided the prescribed Q-curvature ff has its positive part, which possesses non-degenerate critical points such that ΔS4f0Δ_{S^4} f\not=0 at the saddle points and …

2008-09-28abs ↗pdf ↗

New framework learns nonlinear cyclic causal models from data.

problem Challenges in learning causal relationships from real-world, cyclic systems.
method NODAGS-Flow: a novel framework using residual normalizing flows for likelihood estimation.
result Significant performance improvements in structure recovery and predictive performance compared to state-of-the-art methods.

We prove rigidity theorems for ancient solutions of geometric flows of immersed submanifolds. Specifically, we find pinching conditions on the second fundamental form that characterize the shrinking sphere among compact ancient solutions for the mean curvature flow in codimension greater than one, and for some nonlinea…

2017-10-01abs ↗pdf ↗

D2PCCA integrates deep learning and probabilistic modeling for nonlinear dynamical systems.

problem Analyzing nonlinear dynamical systems with probabilistic understanding.
method Combines deep learning and probabilistic modeling, using KL annealing and normalizing flows.
result Captures latent dynamics in sequential datasets with improved convergence and flexibility.

We present two approaches to the heat flow on a Finsler manifold (M,F)(M,F): either as gradient flow on L2(M,m)L^2(M,m) for the energy; or as gradient flow on the reverse L2L^2-Wasserstein space P2(M)\mathcal{P}_2(M) of probability measures on MM for the relative entropy. Both approaches depend on the choice of a measure mm on …

2008-08-08abs ↗pdf ↗

The study finds that only round spheres shrink self-similarly under certain curvature flows.

problem Investigating self-similar solutions to curvature flows by high powers of curvature.
method Analyzing closed strictly convex hypersurfaces in Rn+1\mathbb{R}^{n+1} under specific curvature flows.
result Only round spheres shrink self-similarly under the studied curvature flows.

In this paper, we consider gradient estimates for two type of nonlinear parabolic equations under the Ricci flow: one is the equation ut=Δu+aulogu+buu_t=Δu+au\log u+bu with a,ba,b two real constants, the other is ut=Δu+λuαu_t=Δu+λu^α with λ,αλ,α two real constants. By a suitable scaling for the above two equations, we obtain Hamilton-So…

2015-08-30abs ↗pdf ↗