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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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114227341454 · May 202619922001200920172026
48 results for clamped boundary condition

Euler's elastica with monotone curvature is uniquely minimal.

problem Global minimality of planar elastica with monotone curvature.
method Proof of global minimality using clamped boundary conditions and length penalization.
result Every planar elastica with non-constant monotone curvature is uniquely minimal.

Study curves evolving by gradient flow of elastic energy, proving existence, smoothing, and convergence.

problem Evolution of curves with fixed length and clamped boundary conditions.
method Negative L2L^2-gradient flow of elastic energy, existence, parabolic smoothing, constrained Lojasiewicz-Simon gradient inequality.
result Convergence to a critical point as time tends to infinity.

New isoperimetric inequality for clamped plates in RCD(0,N) spaces, sharp and stable.

problem Fine properties of the principal frequency of clamped plates in RCD(0,N) spaces.
method Analyzing the RCD(0,N) spaces and applying isoperimetric inequalities.
result Sharp isoperimetric inequality for the principal frequency of clamped plates in RCD(0,N) spaces.

The paper connects eigenvalue problems for various operators and establishes inequalities and asymptotic formulas for heat traces.

problem Eigenvalue problems and heat trace asymptotics for different operators.
method Establishes connections and inequalities for eigenvalues and heat traces.
result Eigenvalue inequalities and three-term asymptotic formulas for heat traces of various operators.

The paper sets lower bounds for Laplacian eigenvalues and clamped plate problem eigenvalues.

problem Eigenvalues of the Laplace operator and clamped plate problem.
method Sharp lower bounds for Laplacian eigenvalues and clamped plate problem eigenvalues.
result Sharp lower bounds for Laplacian eigenvalues and clamped plate problem eigenvalues.

Paper proves rigidity estimates for hyperbolic shells and applies them to \(Γ\)-limit theory.

problem Rigidity of hyperbolic shells and their \(Γ\)-limit behavior.
method Nonlinear rigidity estimates for \(H^1\) deformations and hyperbolic shells with clamped lateral boundary.
result Derives the optimal exponent \(h^{-4/3}\) for hyperbolic shells.

Analyzes Willmore flow for graphs with boundary data, proving existence and convergence.

problem Willmore flow of graphs with boundary conditions over bounded domains.
method Developed low-regularity theory, reformulated graphical equation, used time-weighted parabolic Hölder spaces.
result Proved short-time and global existence for initial data in C1+α(Ω)C^{1+α}(\overlineΩ) and Lipschitz, with exponential convergence.

Affirm Lord Rayleigh's conjecture on curved spaces for clamped plates.

problem Lord Rayleigh's conjecture for vibrating clamped plates on curved spaces.
method Nodal-decomposition argument, Lévy-Gromov isoperimetric inequality, Gaussian hypergeometric functions, sharp spectral gap estimates.
result Positive curvature enhances genuine differences between low- and high-dimensional settings.

We examine the effect of clamping variables for approximate inference in undirected graphical models with pairwise relationships and discrete variables. For any number of variable labels, we demonstrate that clamping and summing approximate sub-partition functions can lead only to a decrease in the partition function e…

2015-10-01abs ↗pdf ↗

We study Lord Rayleigh's problem for clamped plates on an arbitrary nn-dimensional (n2)(n\geq 2) Cartan-Hadamard manifold (M,g)(M,g) with sectional curvature Kκ2\textbf{K}\leq -κ^2 for some κ0.κ\geq 0. We first prove a McKean-type spectral gap estimate, i.e. the fundamental tone of any domain in (M,g)(M,g) is universally bounde…

2019-09-05abs ↗pdf ↗

Recent work (Pennington et al, 2017) suggests that controlling the entire distribution of Jacobian singular values is an important design consideration in deep learning. Motivated by this, we study the distribution of singular values of the Jacobian of the generator in Generative Adversarial Networks (GANs). We find th…

2018-02-23abs ↗pdf ↗

This paper studies eigenvalues of the clamped plate problem on a bounded domain in an nn-dimensional Euclidean space. We give an estimate for the gap between Γk+1Γ1\sqrt {Γ_{k+1}-Γ_{1}} and ΓkΓ1\sqrt {Γ_{k}-Γ_{1}}, for any positive integer kk. According to the asymptotic formula of Agmon and Pleijel, we know, the gap betwe…

2016-10-19abs ↗pdf ↗

CLAMP uses neural manifold packing to improve self-supervised learning.

problem Improving self-supervised learning for vision tasks.
method CLAMP recasts representation learning as a manifold packing problem, introducing a loss function inspired by particle systems.
result CLAMP achieves competitive performance with state-of-the-art models and separates neural manifolds effectively.

The paper studies eigenvalue inequalities for a clamped plate problem involving a generalized elliptic differential operator.

problem Eigenvalue inequalities for a clamped plate problem involving a generalized elliptic differential operator.
method Extending the LII\mathfrak{L}_{II} operator to Lν\mathfrak{L}_ν, establishing a general formula for eigenvalues, and applying it to estimate eigenvalues on Riemannian manifolds.
result Established eigenvalue inequalities for the Lν2\mathfrak{L}_ν^{2} operator on translating solitons and other geometric settings.

Sharp bounds derived for eigenvalues on specific geometric spaces.

problem Eigenvalue problems on asymptotically hyperbolic manifolds and submanifolds.
method Sharp bounds derived for three types of eigenvalue problems: pp-Dirichlet, polyharmonic, and weakly Poincaré-Einstein.
result Sharp bounds and their implications for asymptotic sectional curvatures and mean curvature.

Study on hyperbolic elastic flow, proving convergence and quantifying singularities.

problem Understanding singularities and convergence of elastic flow in hyperbolic plane.
method Analyzes closed and open curves with clamped boundary conditions, proving convergence without small energy assumption.
result Each singularity carries an energy cost of at least 8, and blow-ups are explicitly classified.

The Poisson problem consists in finding an immersed surface ΣRmΣ\subset\mathbb{R}^m minimising Germain's elastic energy (known as Willmore energy in geometry) with prescribed boundary, boundary Gauss map and area which constitutes a non-linear model for the equilibrium state of thin, clamped elastic plates originating f…

2018-07-24abs ↗pdf ↗

Paper studies eigenvalues of a specific operator on Riemannian manifolds.

problem Eigenvalues of a specific operator on Riemannian manifolds.
method Established a general formula for eigenvalues and derived estimates.
result Obtained universal inequalities for the eigenvalues on translating solitons.

Neural networks are commonly trained to make predictions through learning algorithms. Contrastive Hebbian learning, which is a powerful rule inspired by gradient backpropagation, is based on Hebb's rule and the contrastive divergence algorithm. It operates in two phases, the forward (or free) phase, where the data are …

2018-06-19abs ↗pdf ↗

New method improves model reconstruction using counterfactuals and polytope theory.

problem Reconstructing models with minimal input changes and avoiding decision boundary shifts.
method Using polytope theory to derive loss functions that treat counterfactuals differently from ordinary instances.
result Improves fidelity between target and surrogate model predictions on multiple datasets.

Sharp spectral gap estimates for higher-order operators on hyperbolic spaces.

problem Estimating spectral gaps for higher-order operators on Cartan-Hadamard manifolds.
method Symmetrization-free proofs based on general functional inequalities.
result Solves a sharp asymptotic problem from Cheng and Yang and answers a question from Kristály.

Improved lower bounds for poly-Laplacian eigenvalues in arbitrary dimensions.

problem Lower bounds for higher eigenvalues of the poly-Laplacian operator.
method Sharp inequalities and eigenvalue bounds in low and arbitrary dimensions.
result Improved lower bounds for eigenvalues of the poly-Laplacian in arbitrary dimensions.

In this paper, we establish universal inequalities for eigenvalues of the clamped plate problem on compact submanifolds of Euclidean spaces, of spheres and of real, complex and quaternionic projective spaces. We also prove similar results for the biharmonic operator on domains of Riemannian manifolds admitting spherica…

2010-01-27abs ↗pdf ↗

The paper bridges stochastic control and deep hedging for European call options with transaction costs.

problem Hedging and pricing European call options with proportional transaction costs.
method Complementary perspectives: stochastic control and deep hedging. Two architectures proposed: NTBN-Delta and WW-NTBN.
result WW-NTBN converges faster, matches no-transaction bands more closely, and generalizes well across transaction cost regimes.

Near-optimal private tests for simple and MLR hypotheses developed under Gaussian differential privacy.

problem Developing private tests for simple and MLR hypotheses under Gaussian differential privacy.
method A private mean estimator with data-driven clamping bounds, constructing private test statistics.
result Private tests achieve the same asymptotic relative efficiency as non-private most powerful tests.

The paper explores inequalities between eigenvalues on Riemannian manifolds.

problem Investigating relationships between eigenvalues on Riemannian manifolds.
method Constructing gradient estimates for a first eigenfunction to derive inequalities.
result Obtained some relationships between weighted pp-Laplacian first eigenvalues.

Study proves inequalities for eigenvalues of fourth-order elliptic operators on Riemannian manifolds.

problem Eigenvalue inequalities for fourth-order elliptic operators on Riemannian manifolds.
method Proves inequalities using Payne-Pólya-Weinberger-Yang type for eigenvalues of fourth-order elliptic operators in divergence form on complete Riemannian manifolds.
result Generalizes eigenvalue inequalities for the clamped plate problem to complete Riemannian manifolds.

Classifies local boundary conditions for Dirac-type operators on manifolds.

problem Determining all local smooth boundary conditions for Dirac-type operators.
method Combining general theory of boundary value problems for Dirac operators and pointwise considerations.
result Classification of local self-adjoint regular boundary conditions for Dirac spinors in dimensions 3 and 4.

Proof of local well-posedness for a specific boundary condition in general relativity.

problem Initial boundary value problem in general relativity with umbilic boundary condition.
method Wave coordinates and key observation of momentum constraint validity for umbilic boundaries.
result Local well-posedness established for the initial boundary value problem.

New boundary conditions solve Cauchy problem for Dirac operators on spacetimes.

problem Understanding non-local boundary conditions for Dirac operators on spacetimes.
method Define and analyze a class of Lorentzian boundary conditions that are local in time and non-local in spatial directions.
result Well-posed Cauchy problem for the Dirac operator is established under these conditions.

We introduce new boundary conditions for differential forms on symplectic manifolds with boundary. These boundary conditions, dependent on the symplectic structure, allows us to write down elliptic boundary value problems for both second-order and fourth-order symplectic Laplacians and establish Hodge theories for the …

2017-10-10abs ↗pdf ↗

The paper studies Ricci flow on manifolds with boundary, proving existence, uniqueness, and boundary conditions preservation.

problem Ricci flow on manifolds with boundary.
method Proving short-time existence and uniqueness of the solution, and showing boundary conditions preservation.
result The flow preserves natural boundary conditions under certain curvature conditions.

Novel boundary conditions for Ricci flow to deform compact manifolds.

problem Deforming compact Riemannian manifolds with boundary using Ricci flow.
method Proposed boundary conditions that make first variations of functionals (Einstein-Hilbert action, lambda-functional) without boundary terms.
result Proof of short-term existence of solutions under proposed conditions.

Proves well-posedness for Einstein equations with specific boundary conditions.

problem Well-posedness of vacuum Einstein equations with twisted Dirichlet boundary conditions.
method Proves local-in-time well-posedness for the IBVP of the Einstein equations with specified conformal class and scalar densities.
result Proves well-posedness for the Einstein equations with twisted Dirichlet boundary conditions.

PINN-FEM combines PINNs and FEM for accurate Dirichlet boundary condition enforcement.

problem Challenges in enforcing Dirichlet boundary conditions in PINNs.
method Hybrid approach combining PINNs and FEM for strong boundary condition enforcement.
result PINN-FEM outperforms standard PINN models in accuracy and robustness.

Paper constructs solutions to Bogomolny equations with specific boundary and asymptotic conditions.

problem Constructing solutions to Bogomolny equations with given boundary and asymptotic conditions.
method Using generalized Nahm pole boundary condition and real symmetry breaking condition.
result Solutions analogous to instanton solutions, satisfying different asymptotic conditions.

Study constant mean curvature surfaces with integrable boundary conditions.

problem Understanding surfaces with constant mean curvature under specific boundary conditions.
method Used generalized Weierstrass representation to determine potentials.
result Determined potentials for surfaces satisfying integrable boundary conditions.

Probabilistic graphical models are traditionally known for their successes in generative modeling. In this work, we advocate layered graphical models (LGMs) for probabilistic discriminative learning. To this end, we design LGMs in close analogy to neural networks (NNs), that is, they have deep hierarchical structures a…

2019-01-31abs ↗pdf ↗