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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.

169,051 papers · 148 categories

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25.0%50.0%75.0%100.0% · Sep 199219922001200920182026
48 results for asymptotic linearization theorem

Study linear differential operators on special manifolds.

problem Analyzing elliptic differential operators on specific types of manifolds.
method Examining a linear elliptic differential operator of the form Δ + V - λ on quasi-asymptotically conical manifolds.
result Established an isomorphism theorem for these operators.

Study on stochastic approximation with Polyak-Ruppert averaging for linear systems.

problem Understanding the asymptotic and non-asymptotic properties of stochastic approximation procedures.
method Detailed analysis of linear stochastic approximation with Polyak-Ruppert averaging, focusing on asymptotic and non-asymptotic properties.
result Proves CLT and non-asymptotic concentration inequality for averaged iterates, providing refined understanding of linear stochastic approximation.

Theoretical validation of linear PCA and ICA for accurate nonlinear BSS.

problem Blind source separation for high-dimensional nonlinear source mixtures.
method Theoretical validation of a cascade of linear PCA and ICA.
result Zero-element-wise-error nonlinear BSS is achieved under certain conditions.

The paper analyzes SGD with dropout regularization in linear models, proving asymptotic properties and providing inference tools.

problem Analyzing the behavior of SGD with dropout regularization in linear models.
method Establishing geometric-moment contraction (GMC) and proving quenched central limit theorems (CLT).
result The existence of a unique stationary distribution and asymptotic normality results for SGD with dropout.

The paper proves a discrete positive mass theorem for graphs.

problem Formulating and proving a discrete positive mass theorem for graphs.
method Introducing asymptotically flat graphs, defining ADM mass, and using discrete harmonic functions.
result An asymptotically flat graph with non-negative Ricci curvature is isomorphic to the standard grid graph.

The paper proves positive energy-momentum theorems for charged AdS initial data sets.

problem Proving positive energy-momentum theorems for charged asymptotically AdS initial data sets.
method Introducing a charged energy-momentum functional and establishing positive theorems under a dominant energy condition.
result The charged energy-momentum functional is non-negative on a natural real cone.

Deep random feature models are analyzed for their performance with exact asymptotic expressions.

problem Understanding the performance of deep random feature models.
method Established a novel universality result and used the convex Gaussian Min-Max theorem.
result Exact asymptotic expressions for the performance of deep random feature models are derived.

The paper proves a new inequality for 3-manifolds with noncompact boundaries.

problem Proving positivity of a convex combination of ADM masses on 3-manifolds with noncompact boundaries.
method Obtained an integral inequality for asymptotically linear harmonic functions.
result Positivity of a convex combination of ADM masses under a positivity condition on scalar curvatures and boundary mean curvatures.

We use planar coordinates as well as hyperbolic coordinates to separate the de Sitter spacetime into two parts. These two ways of cutting the de Sitter give rise to two different spatial infinities. For spacetimes which are asymptotic to either half of the de Sitter spacetime, we are able to provide definitions of the …

2007-12-26abs ↗pdf ↗

The paper studies asymptotic expansions of operators related to Bochner-Schrödinger on Riemannian manifolds.

problem Asymptotic expansions of operators related to Bochner-Schrödinger on Riemannian manifolds.
method Analyzes the Bochner-Schrödinger operator HpH_p and its function φ(Hp)\varphi(H_p) in L2(X,LpE)L^2(X,L^p\otimes E), providing an asymptotic expansion of its smooth Schwartz kernel.
result The trace of the operator φ(Hp)\varphi(H_p) admits a complete asymptotic expansion in powers of p1/2p^{-1/2} as pop o \infty.

Explicit mass bound for 3D asymptotically flat manifolds using harmonic functions.

problem Finding an explicit lower bound for the mass of 3D asymptotically flat Riemannian manifolds.
method Using linear growth harmonic functions and scalar curvature, a new proof of the positive mass theorem is achieved.
result Achieved a new proof of the positive mass theorem in dimension three.

We prove a comparison theorem on the first Neumann eigenvalue on Bakry-Emery manifolds. Examples are constructed to illustrate the sharpness of the result. A linear explicit lower bound is also proved. We also discuss the asymptotic sharpness of such a result.

2011-11-21abs ↗pdf ↗

Study bounds noise level in linear regression with dependent data.

problem Analyzing noise level in linear regression with dependent data.
method Derive upper bounds for random design linear regression with ββ-mixing data, without realizability assumptions.
result Correctly recovers the noise level of the problem, exhibiting graceful degradation with misspecification.

The paper applies potential theory to conformal geometry, proving theorems and dimension estimates.

problem Understanding the behavior of solutions near singularities in conformal geometry.
method Linear and nonlinear potential theory applied to conformal geometry problems.
result Established Huber's type theorems and Hausdorff dimension estimates for conformal geometry.

Study Q-learning with averaging for reinforcement learning, proving efficient inference and error bounds.

problem Efficient inference and error bounds for Q-learning with averaging.
method Functional central limit theorem and asymptotic linear estimator for optimal Q-value function.
result Standardized partial-sum process converges weakly to a rescaled Brownian motion, matching instance-dependent lower bound for error.

A key challenge for modern Bayesian statistics is how to perform scalable inference of posterior distributions. To address this challenge, variational Bayes (VB) methods have emerged as a popular alternative to the classical Markov chain Monte Carlo (MCMC) methods. VB methods tend to be faster while achieving comparabl…

2017-05-09abs ↗pdf ↗

Study on linear regression with dependent covariates, proving universality and error characterization.

problem Linear regression with dependent covariates in high-dimensional settings.
method Analysis of ridge regression performance, Gaussian universality theorem, spectral properties of covariance matrices.
result Asymptotic performance of ridge regression is invariant under non-Gaussian covariates with preserved mean and covariance.

The study proves a central limit theorem for Gaussian holomorphic sections on Kähler manifolds.

problem Understanding statistical properties of zeros of random holomorphic sections.
method Proves a central limit theorem for smooth linear statistics of zero divisors of Gaussian sections in line bundles over Kähler manifolds.
result Derives first-order asymptotics and upper decay estimates for Bergman kernels.

Geometric arguments show simplicial arrangements with few double points can't have an irreducible cubic curve dual.

problem Classifying simplicial arrangements with a linear bound on double points.
method Geometric arguments and structure theorem from Green and Tao.
result Simplicial arrangements with few double points can't have an irreducible cubic curve dual.

Paper improves CLT and bootstrap approximations for LSA with decreasing step size.

problem Improving normal approximation and bootstrap methods for LSA with decreasing step sizes.
method Refined Berry-Esseen bounds and multiplier bootstrap procedure for LSA.
result Approximation rates up to 1/n1/\sqrt{n} for LSA rescaled error distribution.

Paper extends positive energy theorem to anti-de Sitter spacetimes.

problem Proving positive energy theorem for weighted anti-de Sitter spacetimes.
method Generalized positive energy theorem for 3D anti-de Sitter initial data sets.
result Positive energy theorem proved for weighted anti-de Sitter spacetimes.

Solves Jang equation for hyperboloidal data, proving positive mass theorem.

problem Proving the positive mass theorem in asymptotically hyperbolic 3D spacetimes.
method Solves Jang equation with hyperboloidal initial data, applies to positive mass theorem.
result Non-spinor proof of positive mass theorem in 3D asymptotically hyperbolic spacetimes.

The positive energy theorem is proven for certain spacetimes with irregular curvature.

problem Proving the positive energy theorem for spacetimes with irregular curvature.
method Weak asymptotically anti-de Sitter initial data sets with distributional curvature under weak dominant energy condition.
result Positive energy theorem established for weakly irregular spacetimes.

Study volume growth and asymptotic cones of nonnegative Ricci curvature manifolds.

problem Whether the volume growth order of manifolds is greater than or equal to the dimension of their asymptotic cones.
method Analyzing asymptotic cones and volume growth conditions, extending Sormani's results.
result Existence of asymptotic cones with upper box dimension at most equal to the volume growth order.

Study of Dirichlet minimizers on manifolds with boundary and their asymptotic behavior.

problem Understanding the behavior of solutions to the Allen-Cahn equation on manifolds with boundary.
method Analyzing the asymptotic behavior of Dirichlet minimizers, relating Neumann data to boundary geometry, and using invertibility of the linearized Allen-Cahn operator.
result Computed expansions of the solution to high order and established a projection theorem about Allen-Cahn solutions near minimal surfaces.

The study proves Strichartz and spectral projection theorems on specific types of curved surfaces.

problem Proving Strichartz and spectral projection theorems on curved surfaces.
method Using large negative curvature neighborhoods, the study proves theorems on asymptotically conic and Euclidean ends surfaces.
result The study proves theorems without loss of interval on specific types of curved surfaces.