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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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115229344458 · Jun 202019922001200920172026
48 results for Derivative Operator

Paper explores RKHS properties for derivative and integral operators.

problem Establishing sufficient conditions for reproducing property in RKHS.
method Establishing reproducing property for combinations of composition operators.
result Provides framework for regularized learning algorithms involving function values, gradients, or operators.

Derivative-informed models improve financial surrogates for accurate hedging and risk management.

problem Developing fast surrogate models for financial derivatives and risk quantities.
method Derivative-informed operator learning framework combining neural operators, random features, and tangent sensitivity equations.
result The framework reduces hedging and risk errors by 40-76% compared to standard surrogates.

We consider various homological operations on homology of quandles. We introduce the notion of quandle partial derivatives, and extreme chains on which appropriate partial derivatives vanish. Extreme chains yield homological operations. We also consider the degree one homology operations created using elements of the q…

2009-07-27abs ↗pdf ↗

Study classifies real hypersurfaces in complex projective spaces based on Lie derivatives and structure Jacobi operator properties.

problem Classifying real hypersurfaces based on Lie derivatives and structure Jacobi operator properties.
method Defined a tensor field RξT(k)R_{ξ_T}^{(k)} from structure Jacobi operator RξR_ξ and Lie derivative, and studied its symmetry and skew-symmetry.
result Obtained classifications of real hypersurfaces for which RξT(k)R_{ξ_T}^{(k)} is either symmetric or skew symmetric.

We introduce a method in differential geometry to study the derivative operators of Siegel modular forms. By determining the coefficients of the invariant Levi-Civita connection on a Siegel upper half plane, and further by calculating the expressions of the differential forms under this connection, we get a non-holomor…

2012-07-07abs ↗pdf ↗

The paper derives expansions for Green's operators and resolvents using Hadamard methods.

problem Analyzing normally hyperbolic operators and their Green's functions.
method Hadamard expansions for powers of Green's operators and resolvents.
result Derives expansions involving Hadamard coefficients for advanced/retarded Green's operators.

In this paper, we describe the group SpinT (n) and give some properties of this group. We construct SpinT spinor bundle S by means of the spinor representation of the group SpinT (n) and define covariant derivative operator and Dirac operator on S. Finally, Schrodinger-Lichnerowicz-type formula is derived by using thes…

2015-08-19abs ↗pdf ↗

Sharp estimates derived for quasilinear equations on metric measure spaces.

problem Estimating solutions and eigenvalues of quasilinear equations on smooth metric measure spaces.
method Sharp estimates derived using comparisons with one-dimensional equations.
result Optimal lower bounds for the first Dirichlet eigenvalue of quasilinear operators.

New framework for higher-order singular-value derivatives of rectangular matrices.

problem Challenging to derive higher-order Fréchet derivatives of singular values in real rectangular matrices.
method Using Kato's analytic perturbation theory for self-adjoint operators and embedding rectangular matrices into block self-adjoint operators.
result Closed-form expressions for the nn-th order spectral variations of singular values.

A new operator based on t-distributions improves NN classifiers' robustness to out-of-distribution samples.

problem NN classifiers assign extreme probabilities to out-of-distribution samples, leading to unreliable predictions.
method Derive a novel operator using t-distributions to model uncertainty more accurately.
result Classifiers using the new operator are more robust to out-of-distribution samples.

Derives GJMS operators and Q-curvatures for submanifolds.

problem Understanding geometric properties of submanifolds in conformal manifolds.
method Realizes conformal manifold as Poincaré-Einstein space boundary, derives operators as obstructions, uses ambient metric for conformal invariance.
result Explicit formulas and factorization for GJMS operators of orders 2 and 4, conformal invariance for all orders in all dimensions.

Defines and characterizes operators on Lie ∞-algebras with respect to actions.

problem Characterizing operators on Lie ∞-algebras with respect to actions.
method Using higher derived brackets construction and Maurer-Cartan elements.
result Determines the Lie ∞-algebra controlling the deformation of operators.

The paper analyzes MACD using operator theory.

problem Understanding the mathematical foundation of MACD.
method Developed a functional-analytic framework interpreting MACD as a phase-corrected, smoothed derivative operator.
result MACD is structurally equivalent to a band-pass filter and can be expressed as a finite difference of delayed and doubly averaged signals.

CR invariant differential operators on densities with leading part a power of the sub-Laplacian are derived. One family of such operators is constructed from the ``conformally invariant powers of the Laplacian'' via the Fefferman metric; the powers which arise for these operators are bounded in terms of the dimension. …

2003-01-09abs ↗pdf ↗

Formula derived for Laplace-Beltrami on Stiefel manifold.

problem Finding Laplace-Beltrami operator on Stiefel manifold.
method Using the general framework of Laplace operators on constraint manifolds, derived the explicit formula in terms of ambient Euclidean coordinates.
result Extended previously known formulas for sphere and special orthogonal group.

Let (M,g)(M,g) be a pseudo-Riemannian manifold. We propose a new approach for defining the conformal Schwarzian derivatives. These derivatives are 1-cocycles on the group of diffeomorphisms of MM related to the modules of linear differential operators. As operators, these derivatives do not depend on the rescaling of the…

2001-10-31abs ↗pdf ↗

This paper studies neural network operators and their convergence properties.

problem Understanding the approximation and convergence of neural network operators.
method Proves density results, convergence estimates, and Voronovskaya-type theorems.
result Establishes quantitative convergence estimates and derives Voronovskaya-type theorems.

The paper bounds eigenvalues of the Jacobi operator and derives rigidity results for CMC hypersurfaces.

problem Bounding the first eigenvalue of the Jacobi operator for CMC hypersurfaces.
method Geometric upper bounds for eigenvalues and rigidity results.
result New rigidity results for the area and length of CMC hypersurfaces.

Study eigenvalues of Dirac operator on surfaces, proving existence and deriving inequalities.

problem Finding optimal bounds for Dirac eigenvalues on spin surfaces.
method Minimization problem within a fixed conformal class, focusing on surfaces.
result Derive isoperimetric inequalities for the Dirac operator on the sphere, complete conformal spectrum characterization.

We propose a general strategy to derive null-homotopy operators for differential complexes based on the Bernstein-Gelfand-Gelfand (BGG) construction and properties of the de Rham complex. Focusing on the elasticity complex, we derive path integral operators P\mathscr{P} for elasticity satisfying $\mathscr{D}\mathscr{P…

2018-01-22abs ↗pdf ↗

Derives adjoint formulas for matrix operations and applies them to specific cases.

problem Computing adjoints for matrix operations and specific matrix types.
method Derives adjoint formulas for matrix operations and applies them to specific cases.
result Closed-form expressions for adjoints in specific matrix types.

The paper deals with the possibly degenerate behaviour of the exterior derivative operator defined on 11-forms on metric measure spaces. The main examples we consider are the non self-similar Sierpinski carpets recently introduced by Mackay, Tyson and Wildrick. Although topologically one-dimensional, they may have pos…

2015-05-11abs ↗pdf ↗

A regular normal parabolic geometry of type G/PG/P on a manifold MM gives rise to sequences DiD_i of invariant differential operators, known as the curved version of the BGG resolution. These sequences are constructed from the normal covariant derivative $\na^\om$ on the corresponding tractor bundle V,V, where $\om$ is…

2010-03-31abs ↗pdf ↗

This paper encloses a complete and explicit description of the derivations of the Lie algebra D(M) of all linear differential operators of a smooth manifold M, of its Lie subalgebra D^1(M) of all linear first-order differential operators of M, and of the Poisson algebra S(M)=Pol(T*M) of all polynomial functions on T*M,…

2003-12-08abs ↗pdf ↗

Algorithm solves covariant exterior derivative equations in small regions.

problem Solving covariant exterior derivative equations in geometric and algorithmic ways.
method Linear homotopy operator of the Poincare lemma, constraints for parallel transport equations.
result Solves covariant constant and related equations in a geometric and algorithmic way.

This research proves that quadratic regularized optimal transport can approximate the Laplace-Beltrami operator on smooth manifolds.

problem Approximating the Laplace-Beltrami operator using optimal transport with quadratic regularization.
method Deriving first-order optimal potentials and analyzing the convergence of discrete Laplace operators.
result The discrete Laplace operators converge to the Laplace-Beltrami operator on smooth manifolds.

Efficient neural networks compute various differential operators cheaply.

problem Efficient computation of higher time complexity differential operators.
method Restricted neural network architectures with diagonal and hollow Jacobian matrices, allowing efficient extraction of dimension-wise derivatives.
result Demonstrated efficient computation of differential operators for various applications.

Green functions for GJMS operators on spheres derived, linking geometry and rigidity.

problem Deriving Green functions for GJMS operators on spheres.
method Explicit representation formulae derived using Gegenbauer polynomials.
result Spheres uniquely characterized by their Green functions, with strong rigidity theorems for n=3,4,5n=3,4,5.

Let MM be either a projective manifold (M,Pi)(M,Pi) or a pseudo-Riemannian manifold (M,g).(M,g). We extend, intrinsically, the projective/conformal Schwarzian derivatives that we have introduced recently, to the space of differential operators acting on symmetric contravariant tensor fields of any degree on M.M. As operators,…

2001-01-08abs ↗pdf ↗

New method speeds up Bayesian inverse problem solving with neural operators.

problem Solving infinite-dimensional Bayesian inverse problems with high computational cost.
method Delayed-acceptance geometric MCMC driven by derivative-informed neural operator surrogates.
result Significant speedup in generating posterior samples (3-9 times faster).

A new derivation is given of Branson's factorization formula for the conformally invariant operator on the sphere whose principal part is the k-th power of the scalar Laplacian. The derivation deduces Branson's formula from knowledge of the corresponding conformally invariant operator on Euclidean space (the k-th power…

2007-11-29abs ↗pdf ↗