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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 differential properties

Study differential properties of matrix square roots in specific cases.

problem Understanding matrix square roots in semi-simple, symmetric, and orthogonal cases.
method Analysis of differential and metric structures of real square roots of matrices under specific conditions.
result Differential properties of matrix square roots in semi-simple, symmetric, and orthogonal cases.

The closure conditions of the inexact exterior differential form and dual form (an equality to zero of differentials of these forms) can be treated as a definition of some differential-geometrical structure. Such a connection discloses the properties and specific features of the differential-geometrical structures. The…

2004-04-12abs ↗pdf ↗

Study geometric properties of S1 singularities and their deformations.

problem Understanding differential geometric properties of S1 singularities and deformations.
method Representing deformation using diffeomorphisms and isometries, studying geometric properties.
result Differential geometric properties of S1 singularities and Whitney umbrellas in deformations.

We present a simple connection between differential Harnack inequalities for hypersurface flows and natural concavity properties of their time-of-arrival functions. We prove these concavity properties directly for a large class of flows by applying a concavity maximum principle argument to the corresponding level set f…

2019-12-13abs ↗pdf ↗

In [1] it was shown that K^, a certain differential cohomology functor associated to complex K-theory, satisfies the Mayer-Vietoris property when the underlying manifold is compact. It turns out that this result is quite general. The work that follows shows the M-V property to hold on compact manifolds for any differen…

2010-10-25abs ↗pdf ↗

In [1] it was shown that K^, a certain differential cohomology functor associated to complex K-theory, satisfies the Mayer-Vietoris property when the underlying manifold is compact. It turns out that this result is quite general. The work that follows shows the M-V property to hold on compact manifolds for any differen…

2010-10-16abs ↗pdf ↗

GRAND ensures node-level differential privacy for network data.

problem Lack of node-level differential privacy for network data.
method Proposes GRAND, the first mechanism for releasing networks with node-level differential privacy and preserving structural properties.
result GRAND releases networks while ensuring node-level differential privacy and preserving structural properties.

In this paper we investigate the strict convexity and the differentiability properties of the stable norm, which corresponds to the homogenized surface tension for a periodic perimeter homogenization problem (in a regular and uniformly elliptic case). We prove that it is always differentiable in totally irrational dire…

2012-05-07abs ↗pdf ↗

The distance function ϱ(p,q)\varrho(p,q) (or d(p,q)d(p,q)) of a distance space (general metric space) is not differentiable in general. We investigate such distance spaces over Rn\mathbb R^n, whose distance functions are differentiable like in case of Finsler spaces. These spaces have several good properties, yet they are no F…

2015-05-26abs ↗pdf ↗

In this work we systematically analyze general properties of differential equations used as machine learning models. We demonstrate that the gradient of the loss function with respect to to the hidden state can be considered as a generalized momentum conjugate to the hidden state, allowing application of the tools of c…

2019-09-09abs ↗pdf ↗

Study describes how to realize periods of meromorphic differentials with specific properties.

problem Realizing meromorphic differentials with given zeros, poles, and topological constraints.
method Complete description of period representations for specified conditions on Riemann surfaces.
result A comprehensive method for realizing meromorphic differentials with prescribed characteristics.

Study on focal surfaces of lightcone framed surfaces in Lorentz-Minkowski 3-space.

problem Investigate differential geometry properties of focal surfaces of lightcone framed surfaces.
method Introduced lightcone frame to define lightcone framed surfaces, then investigated their differential geometry properties.
result Investigated differential geometry properties of focal surfaces of lightcone framed surfaces.

Private minimum Hellinger distance estimators maintain robustness and efficiency while ensuring privacy.

problem Ensuring privacy in robust statistical estimation.
method Derive private minimum Hellinger distance estimators satisfying Hellinger differential privacy.
result Private minimum Hellinger distance estimators retain robustness and efficiency under privacy constraints.

In this paper we give explicit formulas of differential characteristic classes of principal GG-bundles with connections and prove their expected properties. In particular, we obtain explicit formulas for differential Chern classes, differential Pontryagin classes and differential Euler class. Furthermore, we show that…

2013-11-15abs ↗pdf ↗

We study the fundamental properties of curvature in groupoids within the framework of synthetic differential geometry. As is usual in synthetic differential geometry, its combinatorial nature is emphasized. In particular, the classical Bianchi identity is deduced from its combinatorial one.

2007-04-11abs ↗pdf ↗

The paper defines and analyzes abla abla-Sobolev spaces and operators on manifolds.

problem Defining and analyzing Sobolev spaces and differential operators on manifolds.
method Coordinate-free approach using connections, proving properties of abla abla-Sobolev spaces and operators.
result Equivalent definitions of abla abla-Sobolev spaces and operators under certain conditions.

Deep ResNets exhibit distinct scaling properties with depth, challenging neural ODE models.

problem Understanding the scaling properties of deep ResNets and their relation to neural ODEs.
method Detailed numerical experiments on weights trained by stochastic gradient descent.
result Deep ResNets can exhibit different scaling regimes, including stochastic differential equations or neither, challenging the neural ODE model.

This work establishes properties on diffeological structures for set-valued maps and measures.

problem Establish rigorous properties on diffeological structures for set-valued maps and measures.
method Using diffeologies, the authors link various structures including set-valued maps, relations, gradients, measures, and shape analysis.
result Established rigorous properties on sample diffeologies.

We study differential geometric properties of cuspidal edges with boundary. There are several differential geometric invariants which are related with the behavior of the boundary in addition to usual differential geometric invariants of cuspidal edges. We study the relation of these invariants with several other invar…

2016-10-31abs ↗pdf ↗

Study uniformly differentiable graphs in Carnot groups, proving area formulas.

problem Characterize uniformly differentiable intrinsic graphs in Carnot groups.
method Characterize uniform intrinsic differentiability via Hölder properties of projections of vector fields.
result Explicit area formula for uniformly intrinsically differentiable maps in Carnot groups.

We propose a novel deep learning paradigm of differential flows that learn a stochastic differential equation transformations of inputs prior to a standard classification or regression function. The key property of differential Gaussian processes is the warping of inputs through infinitely deep, but infinitesimal, diff…

2018-10-09abs ↗pdf ↗

Study describes how to realize periods of holomorphic differentials with specific properties.

problem Realizing periods of holomorphic differentials with given zeros and invariants.
method Complete description of realizable relative period representations.
result Answers a question posed by Simion Filip about realizing periods of holomorphic differentials.

Study differentially private methods for learning Hawkes processes.

problem Lack of thorough analysis on sample complexity for learning Hawkes processes parameters and releasing differentially private versions.
method Developed non-private and differentially private estimators for Hawkes processes parameters.
result Obtained sample complexity results for both private and non-private settings.

Examines WENDy-IRLS algorithm's noise robustness and efficiency in various differential equations.

problem Noise robustness and efficiency of WENDy-IRLS algorithm.
method Studied coverage and bias properties of WENDy-IRLS algorithm's estimators in various differential equations and noise distributions.
result WENDy-IRLS algorithm shows notable noise robustness and computational efficiency.

This paper defines and examines the basic properties of noncommutative analogues of almost complex structures, integrable almost complex structures, holomorphic curvature, cohomology, and holomorphic sheaves. The starting point is a differential structure on a noncommutative algebra defined in terms of a differential g…

2012-09-17abs ↗pdf ↗

The study connects Hilbert entropy to non-differentiability points of limit sets in flag spaces.

problem Understanding non-differentiability points in limit sets of convex projective structures.
method Introduces hyperplane conicality for θθ-Anosov representations and uses it to prove properties of boundary maps.
result Hilbert entropy is linked to the Hausdorff dimension of non-differentiability points in flag spaces.

Neural networks can approximate complex stochastic equations well.

problem Approximating general stochastic differential equations.
method Identified neural network classes approximating continuous functions.
result Neural stochastic differential equations can approximate general stochastic differential equations arbitrarily well.

We discuss the general properties of the theory of joint invariants of a smooth Lie group action in a manifold. Many of the known results about differential invariants, including Lie's finiteness theorem, have simpler versions in the context of joint invariants. We explore the relation between joint and differential in…

2014-10-29abs ↗pdf ↗

Measures financial resilience using BSDEs and their properties.

problem Measuring financial resilience in dynamic risk environments.
method Developed stochastic calculus for BSDEs with jumps, revealing resilience rate as expectation of generator.
result Resilience rate can be represented as expectation of BSDE generator, revealing properties of dynamic risk measures.

Differentially private conformal prediction improves statistical efficiency.

problem Quantifying uncertainty in private data analysis.
method Introducing differential conformal prediction and developing Differentially Private Conformal Prediction (DPCP).
result DPCP produces tighter prediction sets than existing private split conformal approaches.

Develops a new method for statistical optimal allocation problems.

problem Statistical optimal allocation problems with constraints.
method Functional differentiability approach and Hadamard differentiability of value functions.
result Validates margin assumption for fast convergence rate of plug-in methods.

Connected boundaries of strata of differentials are always connected in various compactifications.

problem Understanding the connectedness of boundaries of differentials' strata in various compactifications.
method Explicit degeneration techniques, algebraic compactifications, and properties of Teichmüller curves.
result The boundaries of differentials' strata are always connected in any complete algebraic compactification.

Constructs a support-preserving homotopy for differential forms with boundary decay estimates.

problem Non-uniqueness of chain homotopies in de Rham complexes with boundary decay properties.
method Constructs a specific chain homotopy with desirable support propagation and boundary decay estimates.
result Obtains a support-preserving right inverse of the divergence operator with optimal decay estimates.

A kk-differential on a Riemann surface is a section of the kk-th power of the canonical line bundle. Loci of kk-differentials with prescribed number and multiplicities of zeros and poles form a natural stratification of the moduli space of kk-differentials. In this paper we give a complete description for the compa…

2016-10-28abs ↗pdf ↗