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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.

168,742 papers · 148 categories

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48 results for general solutions

Generic level sets in mean curvature flow are BV solutions.

problem Understanding the behavior of level sets in mean curvature flow.
method Using the framework of sets of finite perimeter and distributional solutions, the paper extends Evans and Spruck's work.
result Generic level sets are distributional solutions with optimal energy dissipation rate.

Study geometric singular solutions of generalized Monge-Ampère equations.

problem Solving generalized Monge-Ampère equations on a plane.
method Using exterior differential systems and Cauchy characteristics.
result Criteria for geometric singular solutions to be equivalent to specific types.

Unique solutions found for wave-like decaying null infinity equations.

problem Wave-like decaying null infinity equations with spherically symmetric Einstein-scalar-field.
method Local and global unique solutions for small initial data.
result Sharp decaying condition for unique solutions.

Proves existence and uniqueness of weak solutions for specific equations.

problem Existence and uniqueness of solutions for generalized Monge-Ampère and deformed Hermitian-Yang-Mills equations.
method Combines viscosity-theoretic and pluripotential-theoretic techniques.
result Existence and uniqueness of weak solutions in boundary cases.

Flat solutions don't guarantee generalization for logistic loss in neural networks.

problem Proving flat solutions imply generalization for logistic loss in neural networks.
method Analyzing overparameterized two-layer ReLU networks with univariate input under logistic loss.
result Flat solutions enjoy near-optimal generalization bounds within uncertain sets but can still overfit at infinity.

Minimum-norm solutions generalize well in over-parametrized neural networks.

problem Generalization error in over-parametrized neural networks.
method Analyzing three models: random feature model, two-layer neural network, and residual network.
result Generalization error for minimum-norm solutions is comparable to Monte Carlo rate, up to logarithmic terms.

The paper proves uniqueness of a solution in general relativity.

problem Uniqueness of solutions in the conformal method for Einstein's constraint equations.
method Analyzes solutions with arbitrary mean curvature and volume constraint.
result The Holst-Nagy-Tsogtgerel--Maxwell solution is unique for volumes below a certain threshold.

The paper constructs solutions to a critical Dirac equation on spheres.

problem Solving the critical Dirac equation on spheres with singularities.
method Constructing Delaunay-type solutions and another kind of singular solutions.
result The constructed solutions are building blocks for singular solutions on Spin manifolds.

Develops methods for constructing exact, non-stationary solutions to Euler equations.

problem Constructing exact, non-stationary solutions to the incompressible Euler equations.
method Arnold's geometric framework with a generalized Coriolis force.
result Explicit, smooth, global-in-time solutions on curved surfaces and three-dimensional manifolds.

CPRA efficiently finds diverse solutions in CO problems using UL and parallelization.

problem Finding optimal solutions often requires diverse outcomes in real-world applications.
method CPRA, an UL-based framework, discovers shared representations to generate diverse solutions.
result CPRA outperforms existing UL-based solvers in generating diverse solutions.

We develop a solution theory for a generalized electro-magneto static Maxwell system in an exterior domain with anisotropic coefficients converging at infinity with a certain rate towards the identity. Our main goal is to treat right hand side data from some polynomially weighted Sobolev spaces and obtain solutions whi…

2011-05-20abs ↗pdf ↗

Proves existence and uniqueness of loop equation solutions for semisimple Frobenius manifolds.

problem Existence and uniqueness of solutions to loop equations in generalized Frobenius manifolds.
method Proves existence and uniqueness of solutions to loop equations for semisimple generalized Frobenius manifolds.
result Existence and uniqueness of solutions to loop equations for semisimple generalized Frobenius manifolds.

New dual formulation reduces generalization error for ERM-fDR.

problem Generalization error in constrained optimization problems.
method Introduces a dual formulation of ERM-fDR using Legendre-Fenchel transform and implicit function theorem.
result Explicit characterizations of generalization error for algorithms under mild conditions.

ICON learns differential equation operators from examples, revealing probabilistic inference.

problem Learning operators for differential equations from limited examples.
method Probabilistic operator learning using ICON architectures trained on diverse datasets.
result ICON implicitly performs Bayesian inference on solution operators.

In a number of physically important cases, the nonholonomically (nonintegrable) constrained Ricci flows can be modelled by exact solutions of Einstein equations with nonhomogeneous (anisotropic) cosmological constants. We develop two geometric methods for constructing such solutions: The first approach applies the form…

2007-05-05abs ↗pdf ↗

We study solutions of the mean curvature flow which are defined for all negative curvature times, usually called ancient solutions. We give various conditions ensuring that a closed convex ancient solution is a shrinking sphere. Examples of such conditions are: a uniform pinching condition on the curvatures, a suitable…

2014-05-29abs ↗pdf ↗

This paper presents a new method for solving systems with polynomial stiffness.

problem Finding analytical solutions to nonlinear differential equations with polynomial stiffness is challenging.
method The paper introduces a geometric/algebraic method using generating series and shuffle product.
result The method provides a recursive schematic that can be automated and applied to systems with polynomial stiffness.

We present a 1-parameter family of finite action solutions to the S0(2,1)S0(2,1) Hitchin's equations and explore some of its basic properties. For a fixed value of the parameter, the solution is smooth. We conclude by showing a multi-particle generalization of our basic solutions.

2000-11-13abs ↗pdf ↗

In this work we study generalization of neural networks in gradient-based meta-learning by analyzing various properties of the objective landscapes. We experimentally demonstrate that as meta-training progresses, the meta-test solutions, obtained after adapting the meta-train solution of the model, to new tasks via few…

2019-07-16abs ↗pdf ↗

Neural networks learn modular arithmetic but not all, extending known solutions to generalize.

problem Neural networks struggle with modular arithmetic, especially for polynomials.
method Developed analytical solutions for MLP networks to learn modular addition and multiplication, then combined these solutions to generalize on arbitrary modular polynomials.
result Neural networks can learn and generalize solutions to modular polynomials, supporting the hypothesis that some polynomials are learnable.

We analyze a generalized version of the Black-Scholes equation depending on a parameter a ⁣ ⁣(,0)a\!\in \!(-\infty,0). It satisfies the martingale condition and coincides with the Black-Scholes equation in the limit case a0a\nearrow 0. We show that the generalized equation is exactly solvable in terms of Hermite polynomials a…

2014-11-10abs ↗pdf ↗

Existence and convergence of ancient Ricci flow solutions on compact homogeneous spaces.

problem Existence and characterization of ancient solutions to the Ricci flow on compact homogeneous spaces.
method General existence theorem and Gromov-Hausdorff convergence under rescaling.
result Convergence of collapsed ancient solutions to Einstein metrics on torus fibrations.

Generalizes Thurston's jiggling lemma for piecewise smooth solutions.

problem Creating piecewise smooth solutions of differential relations without homotopical assumptions.
method Jiggling arbitrary sections of EE to construct solutions of R\mathcal{R}.
result Generalization of Thurston's lemma for piecewise smooth solutions of differential relations.

Study of 4D flows with nilpotent symmetry, showing immortal solutions and blowdown limits.

problem Understanding 4D generalized Ricci flows with nilpotent symmetry.
method Immortal solutions, type III curvature and diameter estimates, new energy monotonicity.
result Blowdown limits lie in a finite-dimensional family of solutions.

Study C2\mathrm{C}^2 estimates for pp-Hessian equations on closed manifolds.

problem Estimating solutions to pp-Hessian equations on closed Riemannian manifolds.
method Introducing pseudo-solutions to generalize C\mathcal{C}-subsolution and proving C1\mathrm{C}^1 and C2\mathrm{C}^2 estimates.
result Proves C2\mathrm{C}^2 estimates for general pp-Hessian equations on closed manifolds under sharp conditions.

Given a collection of N solutions of the (3+1) vacuum Einstein constraint equations which are asymptotically Euclidean, we show how to construct a new solution of the constraints which is itself asymptotically Euclidean, and which contains specified sub-regions of each of the N given solutions. This generalizes earlier…

2010-04-08abs ↗pdf ↗