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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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129258387516 · Jun 202019922001200920172026
48 results for differential conditions

The paper proves Gorenstein contractions for multiscale differentials on nodal curves.

problem Proving Gorenstein contractions for multiscale differentials on nodal curves.
method Addressing the conjecture by Ranganathan and Wise, showing contractions level by level.
result Multiscale differentials can be contracted to Gorenstein singularities, level by level, from the top down.

New stability conditions identified from quadratic differentials on surfaces.

problem Identifying stability conditions from quadratic differentials.
method Comparison of exchange graphs from tilting hearts and flipping mixed angulations.
result Spaces of stability conditions identified with moduli spaces of quadratic differentials.

Unified approach to stability conditions on surfaces with quadratic differentials.

problem Identifying spaces of stability conditions on triangulated categories.
method Perverse schober and their global sections, mixed-angulations, flips, finite-length hearts, tilts.
result Identification of moduli spaces of quadratic differentials with arbitrary singularity types.

Classifies connected components of meromorphic differentials with residue conditions.

problem Understanding the structure of meromorphic differentials with residue constraints.
method Analyzes the multi-scale compactification and residue conditions.
result Classified connected components of generalized strata of meromorphic differentials.

New findings on flatness for specific driftless systems.

problem Determining flatness for driftless systems with m inputs and 2m or 2m-1 states.
method Using pure prolongation, the paper presents new sufficient conditions for flatness.
result The conditions proposed broaden the class of recognized flat systems.

Paper introduces a differentiable regularizer for condition number to improve neural network stability.

problem Maintaining numerical stability in neural networks to ensure reliable and performant models.
method Introduces a novel differentiable regularizer for the condition number of weight matrices.
result Derives a differentiable formula for the gradient of the regularizer, promoting matrices with low condition numbers.

The paper characterizes curvature-dimension conditions and related inequalities on Riemannian manifolds.

problem Curvature-dimension conditions and related inequalities on Riemannian manifolds.
method Information-theoretic approach to study curvature-dimension condition, rigidity theorems, and entropy differential inequalities.
result Equivalence of curvature-dimension condition and entropy differential inequalities on Riemannian manifolds.

New method simplifies checking consistency of differentiable loss functions.

problem Verifying consistency of differentiable loss functions is difficult.
method Developed a new approach called strong indirect elicitation (strong IE) to simplify checking consistency.
result Strong IE is equivalent to calibration for strongly convex, differentiable surrogates.

Extends machine learning models for analytic boundary conditions in differential equations.

problem Inclusion of data in differential equations using symbolic algorithms.
method Combines computer algebra with Gaussian processes and extends to analytic boundary conditions using Gröbner and Janet bases of Weyl algebras.
result Describes divergence-free flow in domains bounded by analytic functions.

Study LpL^p boundedness of Riesz transform on differential forms for certain manifolds.

problem Investigate LpL^p-boundedness of the covariant Riesz transform on differential forms.
method Analyze LpL^p-boundedness on weighted Riemannian manifolds under curvature-dimension and lower bound conditions.
result Derive Calderón-Zygmund inequality for 1<p21<p\leq2 under curvature-dimension condition.

Study on biharmonic Steklov problems with Neumann boundary conditions and eigenvalue estimates.

problem Biharmonic Steklov problems with Neumann boundary conditions.
method Introduced a biharmonic Steklov problem and proved its well-posedness. Established eigenvalue estimates using Kuttler-Sigillito inequalities.
result Eigenvalue estimates for the biharmonic Steklov problem with Neumann boundary conditions.

This paper classifies components of meromorphic differential strata.

problem Understanding the boundary of multi-scale compactification of meromorphic differentials.
method Classifying connected components of residueless meromorphic differentials.
result Classification of connected components of strata of residueless meromorphic differentials.

Study on the smoothness of solutions to a specific type of stochastic differential equation.

problem Regularity of solutions to mean-field GG-SDEs.
method Analysis of first and second order Fréchet differentiability in the random initial condition.
result Established the Fréchet differentiability of the solution and specified the corresponding equations.

New dg-algebras generalize Brauer graph algebras, with applications to stability conditions and quadratic differentials.

problem Generalizing Brauer graph algebras to new dg-algebras.
method Derived categories, mixed-angulations of surfaces, stability conditions, and quadratic differentials.
result Spaces of stability conditions on derived categories of these algebras are described in terms of spaces of quadratic differentials.

CSI method learns conditional distributions by estimating flow equations.

problem Learning conditional distributions in generative models.
method Estimates probability flow equations to transport reference to target distribution.
result Derives explicit expressions for conditional drift and score functions.

The paper studies boundedness of pseudo-differential operators on smooth manifolds.

problem Boundedness of pseudo-differential operators in LpL^p-LqL^q spaces on smooth manifolds.
method Using global symbols and extending Hörmander's condition, the paper investigates LpL^p-boundedness, LL^\infty-BMOBMO estimates, and LpL^p-LqL^q boundedness for Fourier multipliers and pseudo-differential operators.
result The paper proves LpL^p-LqL^q boundedness for the range 1<p2q<1<p \leq 2 \leq q<\infty.

We give a necessary and sufficient condition for a non-degenerate symmetric 3-differential with nonzero Blaschke curvature on a complex surface to be locally representable as a product of three closed holomorphic 1-forms. We give two versions of this condition corresponding to different choices of coordinates, one of w…

2015-10-01abs ↗pdf ↗

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.

Determines conditions for abelian differentials with specific singularities.

problem Finding conditions for abelian differentials with prescribed singularities.
method Analyzes representations of surface fundamental groups and their holonomy.
result Necessary and sufficient conditions for the existence of translation surfaces with prescribed singularities.

We prove some Fredholm conditions for many algebras of differential operators on particular classes of open manifolds, which include asymptotically Euclidean or asymptotically hyperbolic manifolds. Our typical result is that an operator PP is Fredholm if, and only if, it is elliptic and some limit operators $(P_α)_{α\…

2018-08-04abs ↗pdf ↗

We consider differentiable maps in the setting of Abstract Differential Geometry and we study the conditions that ensure the uniqueness of differentials in this setting. In particular, we prove that smooth maps between smooth manifolds admit a unique differential, coinciding with the usual one. Thus smooth manifolds fo…

2013-11-25abs ↗pdf ↗

We study symplectic Laplacians on compact symplectic manifolds with boundary. These Laplacians are associated with symplectic cohomologies of differential forms and can be of fourth-order. We introduce several natural boundary conditions on differential forms and use them to establish Hodge theory by proving various fo…

2014-09-29abs ↗pdf ↗

Bayesian inference for stochastic differential equations using Wishart diffusions.

problem Inferring stochastic differential equations for regression and dynamical modeling.
method Bayesian non-parametric approach with semi-parametric Wishart processes.
result Modeling diffusion in stochastic differential equations improves performance and avoids overfitting.

Paper explores challenges in training PINNs and loss landscape effects.

problem Challenges in training Physics-Informed Neural Networks (PINNs) due to loss landscape issues.
method Examined gradient-based optimizers Adam, L-BFGS, and their combination Adam+L-BFGS, and introduced NysNewton-CG (NNCG).
result Adam+L-BFGS outperforms other optimizers, and NysNewton-CG significantly improves PINN performance.

We discuss in some generality aspects of noncommutative differential geometry associated with reality conditions and with differential calculi. We then describe the differential calculus based on derivations as generalization of vector fields, and we show its relations with quantum mechanics. Finally we formulate a gen…

1995-11-27abs ↗pdf ↗

Study differential operators on non-compact harmonic manifolds, finding conditions for radial fundamental solutions and dense heat-semigroups.

problem Conditions for differential operators on non-compact harmonic manifolds to have specific properties.
method Analyzing the algebra of differential operators, their commutation properties, and using geometric averages.
result Algebra of differential operators on non-compact harmonic manifolds has specific properties related to radial fundamental solutions and dense heat-semigroups.

Associated to every generalized complex structure is a differential Gerstenhaber algebra (DGA). When the generalized complex structure deforms, so does the associated DGA. In this paper, we identify the infinitesimal conditions when the DGA is invariant as the generalized complex structure deforms. We prove that the in…

2011-09-19abs ↗pdf ↗

New privacy mechanism reduces error in query results.

problem Achieving privacy while minimizing noise in query results.
method Extended sufficient and necessary condition for (ε,δ)(ε, δ)-differential privacy for symmetric and log-concave noise densities.
result Significantly lower mean squared errors than Laplace and Gaussian mechanisms.