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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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53105158210 · Jun 202019922001200920172026
48 results for symmetric powers

The paper connects quantum invariants to intersections of Lagrangians in symmetric power spaces.

problem Computing colored Jones and Alexander polynomials.
method Using two Lagrangians in a symmetric power of a surface to compute polynomials.
result Colored Jones and Alexander polynomials are special cases of a graded intersection between Lagrangians.

The paper extends topological field theory to noncompact surfaces using symmetric powers.

problem Extending topological field theory to noncompact surfaces without closed boundaries.
method Constructing sectorial covers with combinatorics of the bar resolution.
result Recovering results of Rouquier and Manion on extending Heegaard-Floer theory.

We present a formula for the trace of any symmetric power of a n×nn\times n matrix (with coefficients in a field) in terms of the ordinary powers of the matrix, an arbitrarily chosen linear function which vanishes on the identity matrix, and n2n-2 polynomial functions defined recursively.

2014-11-03abs ↗pdf ↗

It is well-known that quasi-isometries between R-trees induce power quasi-symmetric homeomorphisms between their ultrametric end spaces. This paper investigates power quasi-symmetric homeomorphisms between bounded, complete, uniformly perfect, ultrametric spaces (i.e., those ultrametric spaces arising up to similarity …

2010-02-08abs ↗pdf ↗

New convex ancient solutions found for flows by high powers of curvature.

problem Existence of closed convex ancient solutions to curvature flows.
method Proves existence of closed convex ancient solutions with specific curvature flow speeds.
result Existence of non-homothetic convex ancient solutions for flows by high powers of curvature.

In this paper, we use the powerful tool Milnor bases to classify all the 33-dimensional connected and locally symmetric Riemannian Lie Groups by solving system of polynomial equations of structure constants of each Lie algebra . Moreover, we showed that E0(2)E_0(2), is the only Lie group with locally symmetric left invar…

2016-07-07abs ↗pdf ↗

We provide a finite dimensional categorification of the symmetric evaluation of slN\mathfrak{sl}_N-webs using foam technology. As an output we obtain a symmetric link homology theory categorifying the link invariant associated to symmetric powers of the standard representation of slN\mathfrak{sl}_N. In addition, the cons…

2018-01-07abs ↗pdf ↗

The oriented framed Homfly skein C of the annulus provides the natural parameter space for the Homfly satellite invariants of a knot. It contains a submodule C+ isomorphic to the algebra of the symmetric functions. We collect and expand formulae relating elements expressed in terms of symmetric functions to Turaev's ge…

2007-07-19abs ↗pdf ↗

We classify and explicitly describe homomorphisms of Verma modules for conformal Galilei algebras cga(d,C)\mathfrak{cga}_\ell(d,{\mathbb C}) with d=1d=1 for any integer value N\ell \in \mathbb{N}. The homomorphisms are uniquely determined by singular vectors as solutions of certain differential operators of flag type, and id…

2016-12-28abs ↗pdf ↗

Study cohomology of ball quotients and their compactifications.

problem Cohomology of symmetric power of cotangent bundles of ball quotients and their compactifications.
method Hodge theory for complete hermitian manifolds, Green's operator, extension of results.
result Established existence of Hodge decomposition and Green's operator for ball quotients and their compactifications.

Study string topology on symmetric spaces, showing non-triviality and nilpotency results.

problem Understanding the structure of string topology on symmetric spaces.
method Used cycles from Bott-Samelson and Ziller to study coproduct and product.
result Showed non-triviality and nilpotency of Chas-Sullivan product and coproduct for higher rank symmetric spaces.

New neural networks respect symmetries in symmetric tensors, improving efficiency and generalization.

problem Learning from symmetric tensors efficiently and respecting their inherent symmetries.
method Developed two characterizations of linear permutation equivariant functions between symmetric power spaces of R^n.
result These functions are highly data efficient compared to standard MLPs and generalize well to different sizes of symmetric tensors.

Determinantal point processes (DPPs) have attracted substantial attention as an elegant probabilistic model that captures the balance between quality and diversity within sets. DPPs are conventionally parameterized by a positive semi-definite kernel matrix, and this symmetric kernel encodes only repulsive interactions …

2019-05-30abs ↗pdf ↗

Esnault asked whether every smooth complex projective variety with infinite fundamental group has a nonzero symmetric differential (a section of a symmetric power of the cotangent bundle). In a sense, this would mean that every variety with infinite fundamental group has some nonpositive curvature. We show that the ans…

2012-04-29abs ↗pdf ↗

Counterexample found to estimate for skew-symmetric tensors.

problem Estimate for skew-symmetric tensors was claimed and used for classification results.
method Analysis of the estimate in arXiv:2103.15482.
result Counterexample disproves the estimate for skew-symmetric tensors.

Symmetric Positive Definite (SPD) matrices have been used in many fields of medical data analysis. Many Riemannian metrics have been defined on this manifold but the choice of the Riemannian structure lacks a set of principles that could lead one to choose properly the metric. This drives us to introduce the principle …

2019-09-09abs ↗pdf ↗

We consider the problem of designing locality sensitive hashes (LSH) for inner product similarity, and of the power of asymmetric hashes in this context. Shrivastava and Li argue that there is no symmetric LSH for the problem and propose an asymmetric LSH based on different mappings for query and database points. Howev…

2014-10-21abs ↗pdf ↗

The paper studies volumes of direct images for high tensor powers of ample bundles.

problem Understanding asymptotics of Monge-Ampère volumes for high tensor powers of ample line bundles.
method Analyzes the leading term of asymptotics and classifies bundles saturating a topological bound.
result Provides a characterization of bundles admitting projectively flat Hermitian structures in the case of high symmetric powers of ample vector bundles.

The paper analyzes tensor recovery from symmetric rank-one measurements using information theory.

problem Recovering tensors with low symmetric rank from symmetric rank-one measurements.
method Covering numbers argument, Carbery-Wright inequality, orthogonal polynomials, Fano's inequality.
result Near-optimal sample complexity bounds for log-concave distributions.

A classical theorem of Riemannian geometry, due in its original form to Cartan, states that the Taylor expansion of the metric in geodesic normal coordinates is a universal formal power series involving only the symmetrizations of the iterated covariant derivatives of the curvature tensor; this is known as the jet isom…

2015-09-28abs ↗pdf ↗

Study of metrics on positive-definite matrices from power potential, linking to power means.

problem Understanding metrics on positive-definite matrices derived from power potential.
method Explicit expressions for geodesics and distance function derived from Hessian of power potential.
result Geodesics and distance function converge to weighted matrix geometric mean as β tends to zero.

The nonzero level sets in nn-dimensional flat affine space of a translationally homogeneous function are improper affine spheres if and only if the Hessian determinant of the function is equal to a nonzero constant multiple of the nnth power of the function. The exponentials of the characteristic polynomials of certa…

2017-07-26abs ↗pdf ↗

The paper proposes a conjecture for a symmetric version of Ehrhard's inequality.

problem Formulating a conjecture for the optimal Ehrhard-type inequality for convex symmetric sets.
method Formulating a conjecture and explaining its optimality in terms of Gaussian concavity power.
result Proving certain inequalities for symmetric convex sets, with round k-cylinders as the only equality cases.

An FI-module VV over a commutative ring k\bf{k} encodes a sequence (Vn)n0(V_n)_{n \geq 0} of representations of the symmetric groups (Sn)n0(\mathfrak{S}_n)_{n \geq 0} over k\bf{k}. In this paper, we show that for a "finitely generated" FI-module VV over a field of characteristic pp, the cohomology groups $H^t(\mathfrak{S}…

2015-05-16abs ↗pdf ↗

Homological mirror symmetry proved for symmetric squares of punctured spheres.

problem Proving homological mirror symmetry for symmetric squares of punctured spheres.
method Constructed quasi-equivalences between wrapped Fukaya categories and derived categories of coherent sheaves, using categorical resolutions and localisation.
result Wrapped Fukaya category of symmetric square quasi-equivalent to coherent sheaves on a singular surface.

This paper contains two topics, the index of a power subgroup in the mapping class group M(0,2n)\mathcal{M}(0,2n) of a 2n2n-punctured sphere and in the hyperelliptic mapping class group Δ(g,0)Δ(g,0) of an oriented closed surface of genus gg. The main tool is a projective representation of M(0,2n)\mathcal{M}(0,2n) obtained through t…

2018-01-18abs ↗pdf ↗

Analytic torsion expansions for symmetric and complex homogeneous spaces.

problem Calculating the full asymptotic expansion of analytic torsion for various spaces.
method Explicit calculation and comparison with existing results.
result Explicit full asymptotic expansions for symmetric and complex homogeneous spaces.

A deep neural network (DNN) based power control method is proposed, which aims at solving the non-convex optimization problem of maximizing the sum rate of a multi-user interference channel. Towards this end, we first present PCNet, which is a multi-layer fully connected neural network that is specifically designed for…

2018-07-26abs ↗pdf ↗

The paper calculates bounds for risk metrics and entropies under partial information constraints.

problem Analyzing risk metrics and entropies for unimodal, symmetric distributions with limited information.
method Develops lower and upper bounds for worst-case distortion riskmetrics and weighted entropy for unimodal, symmetric distributions with known mean and variance.
result Sharp upper bounds for distortion riskmetrics and weighted entropy for symmetric distributions.

Let XX be a nn dimensional compact local Hermitian symmetric space of non-compact type and $L=\shO(K_X)\tens\shO(qM)$ be an adjoint line bundle. Let c>0c>0 be a constant. Assume the curvature of MM is cω\ge cω, where ωω is the kähler form of XX, and XX's injectivity radius has a lower bound τ>2eτ>\sqrt{2e}, where $e…

2019-01-30abs ↗pdf ↗