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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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48 results for Bargmann transformation

The large-N limit of Segal-Bargmann transform on spheres is studied.

problem Understanding the behavior of Segal-Bargmann transform on spheres as dimension increases.
method Analyzing the large-N limit of the transform on SN1(N)S^{N-1}(\sqrt N), describing geometric models, and showing the transform remains unitary.
result The limiting transform is still a unitary map from the limiting domain onto the limiting range.

Researchers found a Calabi-Yau structure and constructed a Bargmann type transformation on the Cayley projective plane.

problem Existence of Calabi-Yau structure and construction of Bargmann type transformation.
method Pairing of polarizations, natural Lagrangian foliation, and Kähler structure.
result Quantization of geodesic flow through elliptic Fourier integral operators.

The Fock-Bargmann-Hartogs domain Dn,m(μ)D_{n,m}(μ) (μ>0μ>0) in Cn+m\mathbf{C}^{n+m} is defined by the inequality w2<eμz2,\|w\|^2<e^{-μ\|z\|^2}, where (z,w)Cn×Cm(z,w)\in \mathbf{C}^n\times \mathbf{C}^m, which is an unbounded non-hyperbolic domain in Cn+m\mathbf{C}^{n+m}. Recently, Yamamori gave an explicit formula for the Bergman kernel of the…

2014-12-11abs ↗pdf ↗

The Fock-Bargmann-Hartogs domain Dn,mD_{n,m} in Cn+m\mathbb{C}^{n+m} is defined by the inequality w2<ez2,\|w\|^2<e^{-\|z\|^2}, where (z,w)Cn×Cm(z,w)\in \mathbb{C}^n\times \mathbb{C}^m, which is an unbounded non-hyperbolic domain in Cn+m\mathbb{C}^{n+m}. This paper mainly consists of three parts. Firstly, we give the explicit expression o…

2018-12-18abs ↗pdf ↗

The Fock-Bargmann-Hartogs domain Dn,m(μ)D_{n,m}(μ) (μ>0μ>0) in Cn+m\mathbb{C}^{n+m} is defined by the inequality w2<eμz2,\|w\|^2<e^{-μ\|z\|^2}, where (z,w)Cn×Cm(z,w)\in \mathbb{C}^n\times \mathbb{C}^m, which is an unbounded non-hyperbolic domain in Cn+m\mathbb{C}^{n+m}. This paper introduces a Kähler metric αg(μ;ν)αg(μ;ν) (α>0)(α>0) on Dn,m(μ)D_{n,m}(μ), …

2015-12-31abs ↗pdf ↗

In this paper we study Kaehler manifolds that are strongly not relative to any projective Kaehler manifold, i.e. those Kaehler manifolds that do not share a Kaehler submanifold with any projective Kaehler manifold even when their metric is rescaled by the multiplication by a positive constant. We prove two results whic…

2016-08-10abs ↗pdf ↗

This article propounds, in the wake of influential work of Fefferman and Graham about Poincaré extensions of conformal structures, a definition of a (Poincaré-)Schrödinger manifold whose boundary is endowed with a conformal Bargmann structure above a non-relativistic Newton-Cartan spacetime. Examples of such manifolds …

2012-01-03abs ↗pdf ↗

We show that the classical Szasz analytic function SN(f)(x)S_N(f)(x) is obtained by applying the pseudo-differential operator f(N1Dθ)f(N^{-1}D_θ) to the Bergman kernels for the Bargmann-Fock space. The expression generalizes immediately to any smooth polarized noncompact complete toric \kahler manifold, defining the generalized S…

2008-09-15abs ↗pdf ↗

The Novikov-Shubin invariants for a non-compact Riemannian manifold M can be defined in terms of the large time decay of the heat operator of the Laplacian on square integrable p-forms on M. For the (2n+1)-dimensional Heisenberg group H, the Laplacian can be decomposed into operators in the conjugate of the generalised…

1998-07-27abs ↗pdf ↗

Quantizes Kähler manifolds using sheaves and differential operators.

problem Quantizing Kähler manifolds with sheaves and differential operators.
method Constructing a category enriched over sheaves of modules, defining quantizable morphisms, and showing equivalence to differential operator categories.
result Equivalence of quantized categories under certain conditions.

The paper proves that Gaussian field critical points have finite moments.

problem Proving the finiteness of moments for Gaussian field critical points.
method General approach not specific to critical points, using Taylor polynomial non-degeneracy.
result The finiteness of moments of the number of critical points of Gaussian fields.

The paper characterizes the geometry and topology of spin random fields.

problem Understanding the expected geometry and topology of spin random fields.
method Investigating the asymptotic behavior of geometric and topological functionals for spin random fields under scaling assumptions.
result Explicit results for monochromatic fields, showing non-universal asymptotic behavior and new generalized models.

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 extends geodesic ray transform results to orientable surfaces.

problem Characterize and stabilize mixed and transverse ray transforms on surfaces.
method Algebraic arguments applied to various geometries and ray transforms.
result Characterization of kernel and stability for mixed and transverse ray transforms on orientable surfaces.

This paper investigates efficient Transformers and finds they scale with problem size.

problem Finding suitable replacements for standard Transformers in large-scale tasks.
method Modeling efficient Transformers (Sparse and Linear) as Dynamic Programming problems and analyzing their reasoning capabilities.
result Efficient Transformers scale with problem size, but can be more efficient for certain DP problems.

Data is said to follow the transform (or analysis) sparsity model if it becomes sparse when acted on by a linear operator called a sparsifying transform. Several algorithms have been designed to learn such a transform directly from data, and data-adaptive sparsifying transforms have demonstrated excellent performance i…

2018-03-06abs ↗pdf ↗

Study normal operators of double fibration transforms with conjugate points.

problem Normal operators of double fibration transforms with conjugate points.
method Stable conditions on the distribution of conjugate points, splitting into elliptic and Fourier integral operators.
result Normal operator splits into an elliptic pseudodifferential operator and Fourier integral operators.

Transformer-MGK replaces redundant heads with Gaussian key mixtures, improving efficiency and performance.

problem Redundant attention heads in transformers degrade performance and efficiency.
method Transformer-MGK replaces redundant heads with a mixture of Gaussian keys.
result Transformer-MGK accelerates training and inference, reduces parameters and FLOPs, and achieves comparable or better accuracy.

We study the dynamics of the discrete bicycle (Darboux, Backlund) transformation of polygons in n-dimensional Euclidean space. This transformation is a discretization of the continuous bicycle transformation, recently studied by Foote, Levi, and Tabachnikov. We prove that the respective monodromy is a Moebius transform…

2012-11-10abs ↗pdf ↗

Data augmentation (DA) is fundamental against overfitting in large convolutional neural networks, especially with a limited training dataset. In images, DA is usually based on heuristic transformations, like geometric or color transformations. Instead of using predefined transformations, our work learns data augmentati…

2019-09-21abs ↗pdf ↗

Transformers struggle to approximate smooth functions, relying on piecewise constant approximations.

problem Understanding the expressivity of Transformers for function approximation.
method Theoretical analysis and experimental validation of Transformer's ability to approximate smooth functions.
result Transformers cannot reliably approximate smooth functions, relying on piecewise constant approximations.

We propose a new class of transforms that we call {\it Lehmer Transform} which is motivated by the {\it Lehmer mean function}. The proposed {\it Lehmer transform} decomposes a function of a sample into their constituting statistical moments. Theoretical properties of the proposed transform are presented. This transform…

2018-05-13abs ↗pdf ↗

The Weyl transform is introduced as a rich framework for data representation. Transform coefficients are connected to the Walsh-Hadamard transform of multiscale autocorrelations, and different forms of dyadic periodicity in a signal are shown to appear as different features in its Weyl coefficients. The Weyl transform …

2014-12-18abs ↗pdf ↗

In this paper, we study robust tensor completion by using transformed tensor singular value decomposition (SVD), which employs unitary transform matrices instead of discrete Fourier transform matrix that is used in the traditional tensor SVD. The main motivation is that a lower tubal rank tensor can be obtained by usin…

2019-07-02abs ↗pdf ↗

One of the most challenging problems in the domain of 2-D image or 3-D shape is to handle the non-rigid deformation. From the perspective of transformation groups, the conformal transformation is a key part of the diffeomorphism. According to the Liouville Theorem, an important part of the conformal transformation is t…

2018-08-30abs ↗pdf ↗

Geometric approach uses Bäcklund transformations to create integrable discrete analogs of surface nets.

problem Creating integrable discrete analogs of surface nets and conjugate nets.
method Interpreting classical differential geometry results through Bäcklund transformations and applying permutability properties.
result Integrable discrete analogs of asymptotic and conjugate nets are constructed.

SPTN uses invertible transformations to improve sum-product networks.

problem Improving inference efficiency and tractability in sum-product networks.
method Integrates invertible transformations into sum-product networks (SPNs).
result SPTNs with Gaussian leaves and affine transformations are as tractable as SPNs.