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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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25.0%50.0%75.0%100.0% · Sep 199219922001200920172026
48 results for higher-order differentiability

The present paper develops two concepts of pointwise differentiability of higher order for arbitrary subsets of Euclidean space defined by comparing their distance functions to those of smooth submanifolds. Results include that differentials are Borel functions, higher order rectifiability of the set of differentiabili…

2016-03-28abs ↗pdf ↗

New principle for optimal control with higher order differential constraints.

problem Optimal control problems with higher order differential constraints.
method Derivation of the Principle of Minimal Labour and generalization of Pontryagin Maximum Principle.
result Generalized Pontryagin Maximum Principle for higher order constraints.

The purpose of this article is to present the theory of higher order connections on vector bundles from a viewpoint inspired by projective differential geometry.

2009-08-11abs ↗pdf ↗

Following the programme set out in Part I of this work, we develop a conceptual higher order differential calculus. The '' local linear algebra '' defined in Part I is generalized by '' higher order local linear algebra ''. The underlying combinatorial object of such higher algebra is the natural n-dimensional hyper-cu…

2015-10-12abs ↗pdf ↗

Superposition rules form a class of functions that describe general solutions of systems of first-order ordinary differential equations in terms of generic families of particular solutions and certain constants. In this work we extend this notion and other related ones to systems of higher-order differential equations …

2011-11-17abs ↗pdf ↗

Using supervector fields and graded forms along a morphism, we study the geometry of ordinary differential superequations, extend the formalism of higher order Lagrangian mechanics to the graded context and prove a generalization of Noether's theorem.

1997-03-24abs ↗pdf ↗

We study higher-order conservation laws of the non-linearizable elliptic Poisson equation 2uzzˉ=f(u) \frac{{\partial}^2 u}{\partial z \partial \bar{z}} = -f(u) as elements of the characteristic cohomology of the associated exterior differential system. The theory of characteristic cohomology determines a normal form for diffe…

2009-06-17abs ↗pdf ↗

New minimal surfaces in 4D space derived from parametric equations.

problem Deriving explicit parametric equations for higher-order Henneberg-type minimal surfaces in R4\mathbb{R}^4.
method Generalized Weierstrass--Enneper representation and differential geometric analysis.
result Explicit parametric equations and differential geometric characteristics of the Henneberg-type minimal surfaces in R4\mathbb{R}^4.

Flat surfaces that correspond to kk-differentials on compact Riemann surfaces are of finite area provided there is no pole of order kk or higher. We denote by \textit{flat surfaces with poles of higher order} those surfaces with flat structures defined by a kk-differential with at least one pole of order at least $k…

2016-06-12abs ↗pdf ↗

In this paper we determine a number of meaningful compositions of higher order of a set of functions, which is considered in Malesevic (1998), in implicit and explicit form. Results which are obtained are applied to the vector analysis in order to determine the number of meaningful differential operations of higher ord…

2004-09-16abs ↗pdf ↗

We study differential forms and their higher-order generalizations by interpreting them as functions on map spaces. We get a series of approximations of "generalized manifolds" (i.e. of sheaves and stacks) somewhat akin to Taylor series.

2006-06-26abs ↗pdf ↗

Paper proves higher-order flow matching preserves optimality in generative modeling.

problem Theoretical guarantees for higher-order flow matching in generative modeling.
method Neural network approximations with controlled depth, width, and sparsity.
result Proves worst case optimality for second-order flow matching.

Expands differential geometry to higher-order infinitesimals.

problem No specific problem stated; general expansion of differential geometry.
method Introduces higher tangent vectors and jet connections, generalizes Riemannian metric tensor, develops higher-order integration theory.
result Natural analogues of Riemannian curvature tensor with novel phenomena.

The aim of this paper is to propose an unambiguous intrinsic formalism for higher-order field theories which avoids the arbitrariness in the generalization of the conventional description of field theories, which implies the existence of different Cartan forms and Legendre transformations. We propose a differential-geo…

2009-06-02abs ↗pdf ↗

Paper tackles stochastic control with mean and higher-order moments, finding Nash equilibria.

problem Time-inconsistent stochastic control problems with mean and higher-order moments.
method Developed closed-loop and open-loop Nash equilibrium controls using PDEs and maximum principles.
result Identical closed-loop and open-loop Nash equilibria controls, independent of state value and random path.

We explain that general differential calculus and Lie theory have a common foundation: Lie Calculus is differential calculus, seen from the point of view of Lie theory, by making use of the groupoid concept as link between them. Higher order theory naturally involves higher algebra (n-fold groupoids).(conceptual, topol…

2017-02-27abs ↗pdf ↗

This paper studies a particular class of higher order conformally invariant dif- ferential operators and related integral operators acting on functions taking values in particular finite dimensional irreducible representations of the Spin group. The differential operators can be seen as a generalization to higher spin …

2015-12-23abs ↗pdf ↗

Study privacy vs. utility in estimating network parameters with aggregated data.

problem Privacy-preserving estimation of network parameters from aggregated node degrees.
method β model, local and central differential privacy, minimax lower bounds, simple estimators.
result Achieved minimax-optimal risk bounds for parameter estimation under privacy constraints.

A method to estimate high order derivatives of data distributions from samples.

problem Estimating high order derivatives of data distributions efficiently and accurately.
method Generalizing denoising score matching via Tweedie's formula to estimate higher order derivatives.
result Models trained with the proposed method can approximate second order derivatives more efficiently and accurately than via automatic differentiation.

The paper proposes a method to compute higher infinitesimals in numerical and symbolic analysis.

problem Computing higher-order derivatives with higher infinitesimals.
method Automatic differentiation in terms of C-infinity rings and Weil algebras.
result A unifying theoretical framework for multivariate higher-order derivatives.

Higher-order geometry modifies Newtonian dynamics and predicts anomalies in spacecraft motion.

problem Observing and understanding higher-order effects in general relativity.
method Generalizing the Einstein-Hilbert action to include higher-order infinitesimals and studying field equations and cosmologies.
result Higher-order corrections predict anomalies like the Pioneer and flyby effects.

Closed-form relations and approximations for SE(3) derivatives for robust numerical simulations.

problem Deriving closed-form derivatives and approximations for SE(3) for robust numerical simulations.
method Avoiding block partitioning, deriving higher-order approximations for differential, first and second derivatives, Jacobian, and Hessian.
result Compact and numerically robust closed-form relations for SE(3) derivatives.

ξ-torch simplifies physics-informed learning by providing differentiable functionals.

problem Training physics-informed deep neural networks requires differentiable physical simulations.
method ξ-torch offers a library of differentiable functionals for scientific simulations.
result Improves numerical stability and reduces memory requirements for higher order derivatives.

A few generalizations of a Poisson algebra to field theory canonically formulated in terms of the polymomentum variables are discussed. A graded Poisson bracket on differential forms and an (n+1)(n+1)-ary bracket on functions are considered. The Poisson bracket on differential forms gives rise to various generalizations o…

1997-10-08abs ↗pdf ↗