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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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285583110 · Jun 202019922001200920172026
48 results for nonlinear Laplacian

The paper classifies solutions to a Liouville equation on a half-space with a specific boundary condition.

problem Classifying solutions to a Liouville equation with a nonlinear Neumann boundary condition.
method Analyzing the nn-Laplacian Liouville equation on the half-space R+n\mathbb{R}^{n}_{+} with positive nonlinear Neumann boundary condition.
result The classification of solutions extends previous results for n=2n=2 and p=np=n.

Study on p-Laplacian problems with critical exponent, focusing on existence of solutions.

problem Existence of least energy solutions for nonlinear p-Laplacian problems with critical exponent.
method Proving existence of solutions through critical point theory and variational methods.
result Significant difference in existence results between p-Laplacian and Laplacian cases.

The paper examines geometric properties of domains for the p-Laplacian in Euclidean and hyperbolic spaces.

problem Exploring geometric properties of unbounded extremal domains for the p-Laplacian operator.
method Analyzing properties in Euclidean and hyperbolic spaces, proving constraints on domains and their asymptotic boundaries.
result Extremal domains in two dimensions must be balls, and in hyperbolic space, they have specific geometric constraints.

The paper uses Nash-Moser iteration to prove gradient estimates for nonlinear equations on Riemannian manifolds.

problem Proving gradient estimates for solutions of nonlinear equations on Riemannian manifolds.
method Employing Nash-Moser iteration technique to establish gradient estimates.
result Gradient estimates for solutions of nonlinear equations on Riemannian manifolds are proven.

The paper derives subgradient estimates for a specific nonlinear subparabolic equation on pseudo-Hermitian manifolds.

problem Deriving subgradient estimates for positive solutions to a nonlinear subparabolic equation on pseudo-Hermitian manifolds.
method Using the CR sub-Laplacian comparison property, the paper derives local subgradient estimates for positive solutions to the given equation.
result The paper establishes subgradient estimates for positive solutions to the nonlinear subparabolic equation.

InfiniteWalk connects deep network embeddings to spectral graph theory with a nonlinear transformation.

problem Learning node representations from networks with deep learning methods.
method Study of the DeepWalk objective in the limit as window size goes to infinity, linking to spectral graph embeddings with a nonlinear transformation.
result Simple binary thresholding of the Laplacian pseudoinverse can approximate DeepWalk embeddings.

New algorithms detect and estimate rank-one signals with prior directional information.

problem Detecting and estimating rank-one signals with directional prior information.
method Construct nonlinear Laplacians and examine top eigenvalues and eigenvectors.
result Nonlinear Laplacian algorithms outperform direct spectral methods for biased signals.

Derives gradient estimate for a specific nonlinear parabolic equation on Finsler manifolds.

problem Derives gradient estimate for a nonlinear parabolic equation on Finsler manifolds.
method Leverages a new Laplacian comparison theorem to derive a Li-Yau type gradient estimate.
result Establishes a Li-Yau type gradient estimate for the Finslerian logarithmic Schrödinger equation.

Survey of Laplacian-based methods for data dimensionality reduction and embedding.

problem Efficiently reducing high-dimensional data to lower dimensions while preserving important features and structures.
method Laplacian-based methods including spectral clustering, Laplacian eigenmap, locality preserving projection, graph embedding, and diffusion map.
result Comprehensive overview of various optimization variants and applications of Laplacian-based techniques.

Paper develops methods for estimating gradients of Finslerian Schrödinger equations.

problem Estimating gradients of Finslerian Schrödinger equations.
method Develops new Laplacian comparison theorem and applies it to Finslerian Schrödinger equation.
result Global and local Li-Yau type gradient estimates for positive solutions.

Study shows neural operators can efficiently solve complex reaction-diffusion systems.

problem Efficiently solving nonlinear reaction-diffusion systems using neural operators.
method Laplacian-based neural operators applied to a generalized Gierer-Meinhardt system.
result Explicit approximation error bounds established for neural operators in terms of network parameters.

Suppose that G=(V,E)G=(V, E) is a finite graph with the vertex set VV and the edge set EE. Let ΔΔ be the usual graph Laplacian. Consider the following nonlinear Schro¨\ddot{o}dinger type equation of the form {Δuαu=f(x,u),uW1,2(V), \left \{ \begin{array}{lcr} -Δu-αu=f(x,u),\\ u\in W^{1,2}(V),\\ \end{array} \right. on graph GG, where $f(x…

2019-03-13abs ↗pdf ↗

In this paper, we study a nonlocal elliptic problem with the fractional Laplacian on RnR^n. We show that the problem has infinite positive solutions in Cτ(Rn)Hlocα(Rn)C^τ(R^n)\bigcap H^α_{loc}(R^n). Moreover each of these solutions tends to some positive constant limit at infinity. We extend Lin's result to the nonlocal problem on …

2014-12-31abs ↗pdf ↗

The paper studies fully nonlinear equations on Hermitian manifolds, proving existence and interior estimates.

problem Proving existence and interior estimates for fully nonlinear equations on Hermitian manifolds.
method Derives interior estimates and establishes the existence of smooth solutions for the Dirichlet problem and equations on closed manifolds.
result Derives interior estimates and establishes the existence of smooth solutions for the Dirichlet problem and equations on closed manifolds.

Study on maximum principles for nonlinear equations on Riemannian manifolds.

problem Investigating strong maximum principles for fully nonlinear equations on Riemannian manifolds.
method Analyzing scaling conditions and applying to various nonlinear operators.
result Established new strong comparison principles for second order uniformly elliptic problems.

New algorithm for multiway spectral clustering on Grassmann manifolds.

problem Efficiently computing multiple eigenvectors of a nonlinear graph Laplacian.
method Direct multiway spectral clustering in pp-norm, reformulated as minimization on Grassmann manifold.
result Monotonic decrease of balanced graph cuts leads to optimal solutions.

Proposes a tensor Laplacian-based method for better subspace clustering of non-uniformly distributed data.

problem LRR's inability to handle non-uniform data distribution and local information loss.
method Tensor Laplacian Regularized Low-Rank Representation (TLRR) using hypergraph model and tensor Laplacian algorithm.
result Higher accuracy and precision in subspace clustering compared to state-of-the-art methods.

The paper establishes gradient estimates and Liouville theorems for Φ-Laplacian equations on Riemannian manifolds.

problem Gradient estimates and Liouville theorems for Φ-Laplacian equations on Riemannian manifolds.
method Nonlinear Φ-Bochner formula and Nash-Moser iteration technique for gradient bounds; maximum principle for parabolic case.
result Unified framework for gradient estimates and Liouville theorems for Φ-Laplacian equations.

We investigate the equation (ΔHn)γw=f(w)inHn,(-Δ_{\mathbb H^n})^γ w=f(w)\quad in \mathbb H^{n}, where (ΔHn)γ(-Δ_{\mathbb H^n})^γ corresponds to the fractional Laplacian on hyperbolic space for γ(0,1)γ\in (0,1) and ff is a smooth nonlinearity that typically comes from a double well potential. We prove the existence of heteroclinic connecti…

2012-12-31abs ↗pdf ↗

The paper studies gradient estimates and Liouville theorems for a nonlinear elliptic equation on metric measure spaces.

problem Gradient estimates and Liouville theorems for positive solutions to a specific nonlinear elliptic equation.
method Analyzes the nonlinear elliptic equation \( \Delta_{V}u^{m} + \mu(x)u + p(x)u^{\alpha} = 0 \) on smooth metric measure spaces with bounded Bakry-Émery curvature.
result Establishes gradient estimates and related Liouville theorems and Harnack inequalities.

In this paper, we consider three typical problems on a locally finite connected graph. The first one is to study the Bochner formula for the Laplacian operator on a locally finite connected graph. We use the Bochner formula to derive the Bernstein type estimate of the heat equation. The second is to derive the Reilly t…

2013-04-01abs ↗pdf ↗

We study decay and compact support properties of positive and bounded solutions of ΔpuΛ(u)Δ_{p} u \geq Λ(u) on the exterior of a compact set of a complete manifold with rotationally symmetry. In the same setting, we also give a new characterization of stochastic completeness for the pp-Laplacian in terms of a global $W^{1,…

2020-01-16abs ↗pdf ↗

The paper extends manifold learning to arbitrary norms, improving molecular motion mapping.

problem Improving manifold learning for non-Euclidean norms.
method Determines the limiting differential operator for graph Laplacians using any norm.
result A modified Laplacian eigenmaps algorithm using Earthmover's distance outperforms Euclidean methods in molecular motion mapping.

We consider the Laplacian "co-flow" of G2G_2-structures: ddtψ=Δdψ\frac{d}{dt} ψ= - Δ_d ψ where ψψ is the dual 4-form of a G2G_2-structure φφ and ΔdΔ_d is the Hodge Laplacian on forms. This flow preserves the condition of the G2G_2-structure being coclosed (dψ=0dψ=0). We study this flow for two explicit examples of coclosed $…

2011-08-10abs ↗pdf ↗

Study fully nonlinear elliptic equations on compact hyperhermitian manifolds.

problem Solving fully nonlinear elliptic equations on compact hyperhermitian manifolds.
method Adapting Székelyhidi's approach to the hypercomplex setting, proving a priori estimates.
result Proves solvability of quaternionic Hessian and Monge-Ampère equations on compact flat hyperkähler manifolds.

Stochastic neighbor embedding (SNE) and related nonlinear manifold learning algorithms achieve high-quality low-dimensional representations of similarity data, but are notoriously slow to train. We propose a generic formulation of embedding algorithms that includes SNE and other existing algorithms, and study their rel…

2012-06-18abs ↗pdf ↗

The hemisphere rigidity theorem connects to the Gelfand problem, providing a precise value for the extremal parameter.

problem Finding the extremal parameter for a specific nonlinear equation on a hemisphere.
method Interpreting the hemisphere rigidity theorem within the context of the Gelfand problem and applying it to a fourth-order Gelfand problem.
result A precise value for the extremal parameter is derived for the Gelfand problem under certain conditions.

In this paper we investigate the spectral problem in Finsler geometry. Due to the nonlinearity of the Finsler-Laplacian operator, we introduce \textit{faithful dimension pairs} by means of which the spectrum of a compact reversible Finsler metric measure manifold is defined. Various upper and lower bounds of such eigen…

2019-07-02abs ↗pdf ↗

Finite-time extinction and smoothing effects in fractional fast diffusion on manifolds.

problem Finite-time extinction and smoothing effects in fractional fast diffusion equations.
method Nonlinear semigroups techniques, weighted LpL^p spaces, fractional Green function.
result Sharp extinction rates and pointwise lower bounds for solutions.

Researchers study fractional porous medium equation on hyperbolic space.

problem Analyzing the fractional porous medium equation on hyperbolic space.
method Existence results for solutions in weak sense, using fractional Laplacian and Green's function.
result Proves different smoothing effects for solutions.