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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.

168,657 papers · 148 categories

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134267401534 · Jun 202019922001200920172026
48 results for bounded operators

The study establishes minimax bounds for estimating operators from noisy samples.

problem Estimating unknown operators between Hilbert spaces from noisy data.
method Developed a minimax theory for uniformly bounded Lipschitz operators, proving lower and upper bounds.
result Sharp characterizations of minimax risk for generic Lipschitz operators, showing a curse of sample complexity.

Optimal lower bounds for eigenvalues of Dirac-Witten operator on certain submanifolds.

problem Estimating eigenvalues of the Dirac-Witten operator on specific submanifolds.
method Optimal lower bounds derived using intrinsic and extrinsic expressions.
result Limiting-cases of eigenvalues studied and optimal bounds obtained.

Study on Hardy-Littlewood maximal operators on manifolds with bounded geometry.

problem Boundedness and mapping properties of Hardy-Littlewood maximal operators on Riemannian manifolds.
method Analysis of LpL^p boundedness, conformal invariance, and weak type estimates.
result Sharp LpL^p estimates for the centred operator on Riemannian models with pinched negative scalar curvature.

PCA-Net combines PCA and neural networks for operator approximation, with new bounds on complexity.

problem Developing approximation theory for PCA-Net architecture.
method Combines PCA and neural networks, derives universal approximation results and lower bounds on complexity.
result PCA-Net can overcome the curse of parametric complexity for specific operators.

We derive upper eigenvalue bounds for the Dirac operator of a closed hypersurface in a manifold with Killing spinors such as Euclidean space, spheres or hyperbolic space. The bounds involve the Willmore functional. Relations with the Willmore inequality are briefly discussed. In higher codimension we obtain bounds on t…

1998-05-13abs ↗pdf ↗

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.

New bound for neural networks with full-rank weights, independent of network width.

problem Understanding generalization of neural networks with full-rank weight matrices.
method Using Koopman operators to derive a tighter generalization bound for full-rank weight matrices.
result The bound is tighter than existing norm-based bounds when condition numbers are small.

Estimates for Schrödinger operators on manifolds with bounded Ricci curvature.

problem Quantifying unique continuation for Schrödinger operators on manifolds with specific curvature conditions.
method Proving quantitative unique continuation estimates for Schrödinger operators on manifolds with Ricci curvature bounded below.
result Upper bound for energy range and constant in terms of Ricci curvature and parameters of relatively dense set.

The Serre-Swan theorem in differential geometry establishes an equivalence between the category of smooth vector bundles over a smooth compact manifold and the category of finitely generated projective modules over the unital ring of smooth functions. This theorem is here generalized to manifolds of bounded geometry. I…

2013-02-14abs ↗pdf ↗

Online learning of linear operators between infinite-dimensional spaces is possible but with limitations.

problem Learning linear operators between infinite-dimensional Hilbert spaces in an online setting.
method Online learning approach for linear operators with bounded pp-Schatten norm, proving impossibility for operator norm.
result Separation between online learnability and uniform convergence for bounded linear operators.

The paper bounds eigenvalues of specific operators on certain manifolds.

problem Bounding eigenvalues of Paneitz and third-order boundary operators on locally conformally flat manifolds.
method Proof based on conformal equivalence to canonical models, showing injectivity of developing maps, and explicit computations on canonical models.
result Eigenvalue bounds for the Paneitz operator and its associated third-order boundary operator on locally conformally flat manifolds.

Estimates eigenvalues of poly-Laplace operator on lattice subgraphs.

problem Estimating eigenvalues of poly-Laplace operator on subgraphs of lattice graphs.
method Introduced discrete poly-Laplace operator, derived upper and lower bounds for eigenvalues.
result Poly-Laplace eigenvalues are at least squares of lower-order poly-Laplace eigenvalues.

Neural operators improve solving Helmholtz equation for various wave speeds.

problem Neural operators struggle with out-of-distribution scenarios for high-frequency waves.
method Proposed a subfamily of neural operators with stochastic depth for enhanced approximation of the Helmholtz equation.
result Neural operators with stochastic depth outperform standard models in out-of-distribution scenarios.

The study bounds Riesz transforms on manifolds with controlled curvature.

problem Bounding Riesz transforms on manifolds with controlled curvature.
method Established LpL^p-boundedness of local covariant Riesz transforms for differential forms.
result Calderón-Zygmund estimates for manifolds with bounded Riemannian curvature.

In this paper we will prove new extrinsic upper bounds for the eigenvalues of the Dirac operator on an isometrically immersed surface M2R3M^2 \hookrightarrow {\Bbb R}^3 as well as intrinsic bounds for 2-dimensional compact manifolds of genus zero and genus one. Moreover, we compare the different estimates of the eigenval…

1998-06-15abs ↗pdf ↗

Deep learning framework for kernel methods using RKHM and Perron-Frobenius operators.

problem Kernel methods in deep learning with potential overfitting issues.
method Combining RKHM and Perron-Frobenius operator to derive a new Rademacher bound and analyze deep kernel methods.
result Theoretical interpretation of benign overfitting and milder dependency on output dimension.

Study sharp lower bounds on negative eigenvalues of magnetic Pauli operator.

problem Counting negative eigenvalues of magnetic Pauli operator.
method Reduction to boundary Dirac operator, Atiyah-Patodi-Singer index theory, Benjamin-Ono equation conservation law.
result New formula on the number of eigenvalues of magnetic Neumann Laplacian in semi-classical limit.

Sharp Gaussian bounds derived for Schrödinger kernel on Ricci solitons.

problem Analyzing Schrödinger heat kernel on gradient shrinking Ricci solitons.
method Deriving sharp Gaussian upper bounds for the Schrödinger heat kernel.
result Sharp upper and lower bounds for eigenvalues of the Schrödinger operator.

We analyze the limit of the spectrum of a geometric Dirac-type operator under a collapse with bounded diameter and bounded sectional curvature. In the case of a smooth limit space B, we show that the limit of the spectrum is given by the spectrum of a certain first-order differential operator on B, which can be constru…

2000-05-01abs ↗pdf ↗

We prove upper and lower bounds for the eigenvalues of the Dirac operator and the Laplace operator on 2-dimensional tori. In particluar we give a lower bound for the first eigenvalue of the Dirac operator for non-trivial spin structures. It is the only explicit estimate for eigenvalues of the Dirac operator known so fa…

2001-01-08abs ↗pdf ↗

Study efficient neural operator learning using variation spaces.

problem Operator learning using encoder-decoder neural networks.
method Introduce variation space for nonlinear operators, establish approximation bounds.
result Algebraic approximation and learning rates for polynomially decaying input and output encoding errors.

The study bounds heat kernel for manifolds with specific curvature conditions.

problem Estimating heat kernel for manifolds with Bakry-Émery Ricci curvature.
method Gaussian upper bound for heat kernel, proving L^1-Liouville property, deriving eigenvalue bounds.
result Established Gaussian upper bound for heat kernel, derived eigenvalue bounds.

Improved bounds for Carleson-Sjölin operators on manifolds with specific curvature conditions.

problem Bounding Carleson-Sjölin operators on manifolds with special curvature conditions.
method Two different methods: one using distance function conditions and the other using contact orders of oscillatory integral operators.
result Improved LpL^p bounds for Carleson-Sjölin operators on manifolds with constant sectional curvature and those satisfying Sogge's chaotic curvature condition.

We prove a new upper bound for the first eigenvalue of the Dirac operator of a compact hypersurface in any Riemannian spin manifold carrying a non-trivial twistor spinor without zeros on the hypersurface. The upper bound is expressed as the first eigenvalue of a drifting Schrödinger operator on the hypersurface. Moreov…

2014-02-05abs ↗pdf ↗

We establish a lower bound for the real eigenvalues of a Laplace-Beltrami operator with an LL^\infty-drift term. We make no assumptions that the operator is self-adjoint or that the drift has any additional regularity. In the case where the operator is self-adjoint, this establishes a lower bound on the spectrum witho…

2019-01-17abs ↗pdf ↗

The paper bounds eigenvalues of the Jacobi operator and derives rigidity results for CMC hypersurfaces.

problem Bounding the first eigenvalue of the Jacobi operator for CMC hypersurfaces.
method Geometric upper bounds for eigenvalues and rigidity results.
result New rigidity results for the area and length of CMC hypersurfaces.

Unified bounds for neural networks incorporating physical laws.

problem Limitations in existing generalization analyses for PINNs and VPINNs.
method Unified framework using Taylor expansion and Koopman-based analysis.
result High-rank networks can generalize well even with differential operators.

The paper studies spectral properties of Jacobi operator for surfaces with nonpositive Euler characteristic.

problem Investigating spectral properties of the Jacobi operator for surfaces with nonpositive Euler characteristic.
method Proving a sharp upper bound for the second eigenvalue of the Jacobi operator and classifying surfaces attaining this bound.
result Totally geodesic tori maximize the second eigenvalue among compact orientable surfaces with positive genus.

Study on eigenvalues of complex Hessian operator on pseudoconvex manifolds.

problem Eigenvalue problem for complex Hessian operator on pseudoconvex manifolds.
method Established C1,1C^{1,1}-regularity and uniqueness of the first eigenfunction, derived variational formula for the first eigenvalue.
result Derivation of a bifurcation-type theorem and geometric bounds for the eigenvalue.

We obtain upper bounds for the eigenvalues of the Schrödinger operator L=Δg+qL=Δ_g+q depending on integral quantities of the potential qq and a conformal invariant called the min-conformal volume. Moreover, when the Schrödinger operator LL is positive, integral quantities of qq which appear in upper bounds, can be repla…

2012-10-29abs ↗pdf ↗