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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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1234 · May 202519922001200920172026
48 results for affine-invariance

Study equi-affine invariants for convex domains with asymptotes.

problem Understanding geometric properties of convex domains with specific asymptotes.
method Introducing equi-affine invariants by averaging tropical structures.
result Proving a limiting description of level sets for unbounded domains with two non-parallel asymptotes.

This research studies affine invariance in continuous-domain convolutional neural networks.

problem Recognizing patterns and features under affine transformations in continuous domains.
method Introduces a new criterion for assessing affine invariance, embeds images into the affine Lie group, and analyzes convolution over this group.
result Extends the scope of geometrical transformations that deep-learning pipelines can handle.

Equal-volume polygons are obtained from adequate discretizations of curves in 3-space, contained or not in surfaces. In this paper we explore the similarities of these polygons with the affine arc-length parameterized smooth curves to develop a theory of discrete affine invariants. Besides obtaining discrete affine inv…

2016-09-28abs ↗pdf ↗

This paper studies gradient flows for sampling using various metrics and their affine invariance.

problem Sampling from probability distributions with unknown normalizations.
method Gradient flows in the space of probability measures, focusing on Kullback-Leibler divergence and affine invariance of metrics.
result Gradient flows of Kullback-Leibler divergence do not depend on the normalization constant, and affine invariance is achieved for certain metrics.

The paper calculates area Siegel--Veech constants for specific submanifolds of REL zero.

problem Calculating area Siegel--Veech constants for affine invariant submanifolds of REL zero.
method Using volumes of the principal boundary strata and intersection theory.
result Proves a conjectural formula for the area Siegel--Veech constant in the case of REL zero.

The paper shows measures equidistribute on affine submanifolds with a rate.

problem Understanding equidistribution of measures on affine invariant submanifolds.
method Analyzing unstable foliations and using results from homogeneous dynamics.
result Measures of large dimension equidistribute on affine invariant submanifolds with an effective rate.

The paper studies a specific centro-affine invariant hypersurface flow in R^(n+1).

problem Existence and uniqueness of a centro-affine invariant hypersurface flow.
method Investigates the flow's existence and uniqueness, explores its properties in centro-affine and Euclidean settings, and investigates long-time behavior.
result The hypersurface converges asymptotically toward an ellipsoid via systematically investigating evolutions of centro-affine invariants.

We prove that affine invariant manifolds in strata of flat surfaces are algebraic varieties. The result is deduced from a generalization of a theorem of Möller. Namely, we prove that the image of a certain twisted Abel-Jacobi map lands in the torsion of a factor of the Jacobians. This statement can be viewed as a split…

2013-11-11abs ↗pdf ↗

Employing a centro-affine flow on smooth convex bodies, we generate new centro-affine differential invariants. One class of the newly defined invariants is the object of a sharp isoperimetric inequality, while other new inequalities on known centro-affine invariants are obtained as a byproduct of the flow's study. Furt…

2010-11-23abs ↗pdf ↗

We study the boundary of an affine invariant submanifold of a stratum of translation surfaces in a partial compactification consisting of all finite area Abelian differentials over nodal Riemann surfaces, modulo zero area components. The main result is a formula for the tangent space to the boundary. We also prove fini…

2015-08-06abs ↗pdf ↗

This paper explores gradient flows for sampling distributions without normalization constants.

problem Sampling from distributions with unknown normalization constants.
method Gradient flows in the space of probability measures, focusing on Kullback-Leibler divergence, Fisher-Rao metric, and affine invariance.
result Gradient flows derived from Kullback-Leibler divergence do not depend on the normalization constant.

The paper explores totally geodesic submanifolds in SPD matrices and their properties.

problem Characterizing and understanding totally geodesic submanifolds in SPD matrices.
method Detailed geometric analysis and projection properties of SPD matrices.
result A non-linear projection on totally geodesic submanifolds has the minimizing property.

Let us denote by Kn\mathcal K_n the hyperspace of all convex bodies of Rn\mathbb R^n equipped with the Hausdorff distance topology. An affine invariant point pp is a continuous and Aff(n)-equivariant map p:KnRnp:\mathcal K_n\to \mathbb R^n, where Aff(n) denotes the group of all nonsingular affine maps of Rn\mathbb R^n. Fo…

2016-02-21abs ↗pdf ↗

We introduce new partial orders on the set Sn+S^+_n of positive-definite matrices of dimension nn derived from the homogeneous geometry of Sn+S^+_n induced by the natural transitive action of the general linear group GL(n)GL(n). The orders are induced by affine-invariant cone fields, which arise naturally from a local anal…

2017-12-07abs ↗pdf ↗

A new depth function improves multivariate data analysis by considering variability directions.

problem Developing a depth function that respects quantile properties and is affine-invariant.
method Integrating rank-weighted depth with affine-invariance and covariance matrices.
result The AI-IRW depth function provides accurate quantile estimates and is robust to data variability.

Two popular examples of first-order optimization methods over linear spaces are coordinate descent and matching pursuit algorithms, with their randomized variants. While the former targets the optimization by moving along coordinates, the latter considers a generalized notion of directions. Exploiting the connection be…

2018-03-26abs ↗pdf ↗

New metrics defined for full-rank correlation matrices, ensuring unique operations.

problem No suitable problem statement as the abstract does not describe a problem to be solved.
method New Riemannian metrics defined on full-rank correlation matrices, providing unique operations.
result Unique Riemannian logarithm and Fréchet mean defined for full-rank correlation matrices.

The object of this paper is to study GL(2,R) orbit closures in hyperelliptic components of strata of abelian differentials. The main result is that all higher rank affine invariant submanifolds in hyperelliptic components are branched covering constructions, i.e. every translation surface in the affine invariant subman…

2015-08-21abs ↗pdf ↗

In this paper, we study a second order variational problem for locally convex hypersurfaces, which is the affine invariant analogue of the classical Plateau problem for minimal surfaces. We prove existence, regularity and uniqueness results for hypersurfaces maximizing affine area under appropriate boundary conditions.

2004-05-28abs ↗pdf ↗

In [Alekseevsky, Gutt, Manno, Moreno: "A general method to construct invariant PDEs on homogeneous manifolds", Communications in Contemporary Mathematics (2021)] the authors have developed a method for constructing GG-invariant PDEs imposed on hypersurfaces of an (n+1)(n+1)-dimensional homogeneous space G/HG/H, under mild…

2019-07-14abs ↗pdf ↗

Classification of curves up to affine transformation in a finite dimensional space was studied by some different methods. In this paper, we achieve the exact formulas of affine invariants via the equivalence problem and in the view of Cartan's lemma and then, state a necessary and sufficient condition for classificatio…

2007-10-14abs ↗pdf ↗

Gradient-free framework for Bayesian experimental design in complex systems.

problem Optimal experimental design in systems where gradient information is unavailable.
method Combines EKI and ALDI for optimization and sampling, with approximations for scalable utility estimation.
result Demonstrates robust, accurate, and efficient experimental design in various complex systems.

In this paper, we explicitly construct the Calabi composition of multiple affine hyperspheres possibly including some points viewing as 0-dimensional hypersheres. Then we compute all the basic affine invariants of the composed affine hyperspheres, proving that the composed affine hypersphere is symmetric one if and onl…

2013-10-18abs ↗pdf ↗

The Orlicz-Brunn-Minkowski theory receives considerable attention recently, and many results in the LpL_p-Brunn-Minkowski theory have been extended to their Orlicz counterparts. The aim of this paper is to develop Orlicz LφL_φ affine and geominimal surface areas for single convex body as well as for multiple convex bod…

2014-03-07abs ↗pdf ↗

We give a simple proof that the Frank-Wolfe algorithm obtains a stationary point at a rate of O(1/t)O(1/\sqrt{t}) on non-convex objectives with a Lipschitz continuous gradient. Our analysis is affine invariant and is the first, to the best of our knowledge, giving a similar rate to what was already proven for projected gra…

2016-07-01abs ↗pdf ↗

New calculus for invariant differential operators in parabolic geometries.

problem Understanding invariant differential operators for parabolic geometries.
method Developed a universal calculus to construct all affine invariants of Weyl connections.
result A natural procedure to determine affine invariants of Weyl connections.

FlowVAT improves variational inference for multi-modal distributions.

problem Mode-seeking behavior and collapse in variational inference for complex posteriors.
method Conditional tempering approach for normalizing flow variational inference.
result FlowVAT outperforms traditional and adaptive annealing methods in multi-modal distributions, finding more modes and achieving better ELBO values.

In this work we provide an estimator for the covariance matrix of a heavy-tailed multivariate distributionWe prove that the proposed estimator S^\widehat{\mathbf{S}} admits an \textit{affine-invariant} bound of the form \[(1-\varepsilon) \mathbf{S} \preccurlyeq \widehat{\mathbf{S}} \preccurlyeq (1+\varepsilon) \mathbf{…

2019-02-08abs ↗pdf ↗

We consider a one-parameter family of strictly convex hypersurfaces in Rn+1\mathbb{R}^{n+1} moving with speed Kαν- K^αν, where νν denotes the outward-pointing unit normal vector and α1n+2α\geq \frac{1}{n+2}. For α>1n+2α> \frac{1}{n+2}, we show that the flow converges to a round sphere after rescaling. In the affine invariant ca…

2016-10-27abs ↗pdf ↗

In this article, we propose the notion of the general pp-affine capacity and prove some basic properties for the general pp-affine capacity, such as affine invariance and monotonicity. The newly proposed general pp-affine capacity is compared with several classical geometric quantities, e.g., the volume, the pp-var…

2017-05-21abs ↗pdf ↗

Sharp inequality for eigenvalues of convex bodies, proving ellipsoid uniqueness.

problem Eigenvalue bounds for convex bodies and ellipsoid uniqueness.
method Established a sharp upper-bound for eigenvalues of a specific operator.
result Equality holds only for ellipsoids, complementing conjectural lower-bound.

We find that for any n-dimensional, compact, convex subset K of R^{n+1} there is an affinely-spherical hypersurface M in R^{n+1} with center at the relative interior of K, such that the disjoint union of M and K is the boundary of an (n+1)-dimensional, compact, convex set. This so-called affine hemisphere M is uniquely…

2015-08-03abs ↗pdf ↗

This paper is dedicated to the Orlicz-Petty bodies. We first propose the homogeneous Orlicz affine and geominimal surface areas, and establish their basic properties such as homogeneity, affine invariance and affine isoperimetric inequalities. We also prove that the homogeneous geominimal surface areas are continuous, …

2016-11-14abs ↗pdf ↗