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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.

168,695 papers · 148 categories

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48 results for Differential operator

Equivalence of second order differential operators in vector bundles studied.

problem Equivalence problem for second order linear differential operators in vector bundles.
method Description of rational invariants of symbols, finding connections associated with differential operators.
result Solving problems of local and global equivalency of differential operators.

Study essential spectrum of differential operators on geometrically finite orbifolds.

problem Analyzing the essential spectrum of differential operators over specific geometric structures.
method Investigates first order and Laplace type elliptic differential operators on Riemannian vector bundles over geometrically finite orbifolds.
result Discovers properties of essential spectra for these operators.

The paper quantizes Kähler manifolds using differential operators.

problem Quantizing classical observables on Kähler manifolds as differential operators.
method Constructing higher-order differential operators using Fedosov-type constructions and proving asymptotic equivalence to Berezin-Toeplitz operators.
result Holomorphic differential operators are precisely those that arise as Berezin-Toeplitz operators for quantizable functions.

Study differential operators over maps and their applications in supermanifolds.

problem Understanding differential operators over smooth maps and their applications.
method Recall and study differential operators, formal \hbar-differential operators, pullbacks by thick morphisms, and quantization of symplectic micromorphisms.
result Developed constructions and examples of differential operators over maps.

The study confirms essential self-adjointness for certain differential operators on manifolds.

problem Essential self-adjointness of differential operators on closed manifolds.
method Analyzing the Hamiltonian flow of the symbol of differential operators.
result The conjecture that certain differential operators are essentially self-adjoint if their Hamiltonian flow is complete.

The study examines differential singularities in 3D Nijenhuis operators.

problem Characterizing differential singularities in three-dimensional Nijenhuis operators.
method Examined cases of proportional differentials of invariants and fold-type singularities.
result New examples of Nijenhuis operators with specified singularities constructed.

New operators generalize Michelsohn's on almost Hermitian manifolds.

problem Generalizing differential operators to almost Hermitian manifolds.
method Introducing two differential operators on sections of the complex Clifford bundle over compact almost Hermitian manifolds.
result Surprising Kähler-like symmetries in the kernel of the Laplacians of these operators.

In this paper, we study eigenvalues of the closed eigenvalue problem of the differential operator L L, which is introduced by Colding and Minicozzi in [4], on an nn-dimensional compact self-shrinker in Rn+p{R}^{n+p}. Estimates for eigenvalues of the differential operator L L are obtained. Our estimates for eigenvalues…

2011-12-27abs ↗pdf ↗

Paper introduces magnetic Steklov operator on differential forms and its properties.

problem Analyzing the boundary value problem of magnetic Steklov operator.
method Introduced magnetic Steklov operator and proved its well-posedness. Also, computed spectral properties.
result An analogue of Diamagnetic Inequality does not always hold for magnetic Steklov operators.

The paper studies differential operator invariants and equivalence under Lie pseudogroups.

problem Understanding invariants and equivalence of differential operators under Lie pseudogroups.
method Analysis of invariants, use of n-invariants, and application of local symplectomorphisms as an example.
result Normal forms and solutions to equivalence problems for differential operators.

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.

We consider differential operators between sections of arbitrary powers of the determinant line bundle over a contact manifold. We extend the standard notions of the Heisenberg calculus: noncommutative symbolic calculus, the principal symbol, and the contact order to such differential operators. Our first main result i…

2012-05-30abs ↗pdf ↗

We present Bernstein-Sato identities for scalar-, spinor- and differential form-valued distribution kernels on Euclidean space associated to conformal symmetry breaking operators. The associated Bernstein-Sato operators lead to partially new formulae for conformal symmetry breaking differential operators on functions, …

2017-11-05abs ↗pdf ↗

Introduces a new operator generating higher Koszul brackets on differential forms.

problem Developing a new operator for higher Koszul brackets on differential forms.
method Introducing a formal \hbar-differential operator ΔΔ generating higher Koszul brackets on differential forms.
result Established properties of the introduced BV type operator and its inclusion in a one-parameter family.

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.

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 this article, we investigate differential operators on the Siegel-Jacobi space that are invariant under the natural action of the Jacobi group. These invariant differential operators play an important role in the arithmetic theory of Jacobi forms of higher degree. We present some explicit invariant differential oper…

2006-11-13abs ↗pdf ↗

Paper solves equivalence problems for fifth-order differential operators using Cartan's method.

problem Equivalence problem for fifth-order differential operators under fiber-preserving transformations.
method Cartan's method of equivalence applied to solve two versions of the equivalence problem.
result Sufficient and necessary conditions for fiber-preserving transformations between fifth-order differential operators.

Study linear differential operators on special manifolds.

problem Analyzing elliptic differential operators on specific types of manifolds.
method Examining a linear elliptic differential operator of the form Δ + V - λ on quasi-asymptotically conical manifolds.
result Established an isomorphism theorem for these operators.

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.

ICON learns differential equation operators from prompts, reducing retraining and improving few-shot learning.

problem Training neural networks to solve differential equations without retraining for new problems.
method In-Context Operator Networks (ICON) that learns operators from prompted data and applies them to new problems.
result ICON can generalize to new operators beyond the training distribution and requires only a few demos.

Determines algebra structure of complex differential forms operators.

problem Identifying the algebra structure of differential operators on complex-valued differential forms.
method Shows it is the universal enveloping algebra of a graded Lie algebra and determines its cohomology.
result Determines the cohomology of the graded Lie algebra with respect to various inner differentials.

Classifies and constructs intertwining differential operators between line and vector bundles over real projective space.

problem Classifying and constructing intertwining differential operators between line and vector bundles over real projective space.
method F-method for classification and construction of intertwining differential operators.
result Generalizes a classical result of Bol for SL(2,R)SL(2,\mathbb{R}) and classifies intertwining operators for SL(n,R)SL(n,\mathbb{R}).

We consider the aff(n1)\mathfrak{aff}(n|1)-module structure on the spaces of differential bilinear operators acting on the superspaces of weighted densities. We classify aff(n1)\mathfrak{aff}(n|1)-invariant binary differential operators acting on the spaces of weighted densities. This result allows us to compute the first $\math…

2018-02-03abs ↗pdf ↗

Study non-formal pseudo-differential operators over formal ones.

problem Understanding structure of non-formal pseudo-differential operators.
method Diffeological principal bundles, smoothing connections.
result Structure of diffeological bundle of non-formal pseudo-differential operators over formal ones.

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 ↗

Paper establishes convergence rates for learning elliptic pseudo-differential operators.

problem Learning elliptic pseudo-differential operators in partial differential equations.
method Wavelet-Galerkin framework, structured infinite-dimensional regression problem, sparse estimator, matrix compression, nested-support strategy.
result Obtained convergence rates for the estimator and efficient Galerkin solver.

Develops global pseudo-differential calculus on homogeneous vector bundles.

problem Global theory of subelliptic pseudo-differential operators on homogeneous vector bundles.
method Global symbolic calculus, complex functional calculus, Hörmander system of vector-fields.
result Global pseudo-differential calculus on homogeneous vector bundles.

Gradients of neural networks can be computed efficiently for any architecture, but some applications require differential operators with higher time complexity. We describe a family of restricted neural network architectures that allow efficient computation of a family of differential operators involving dimension-wise…

2019-12-08abs ↗pdf ↗