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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.

168,695 papers · 148 categories

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48 results for algebraic independence

Classifies 3D non-degenerate left-symmetric algebras.

problem Classifying left-symmetric algebras in 3D.
method Using Nijenhuis geometry and algebraic independence of coefficients in characteristic polynomial.
result Classification of differentially non-degenerate LSA in dimension 3.

Study algebraic relations of Vassiliev invariants for families of knots.

problem Understanding algebraic structure of Vassiliev invariants for knot families.
method Analyzing algebraic relations and generating sets of Vassiliev invariants in 3D Chern-Simons theory.
result For 1-parametric knot families, Vassiliev invariants are finitely generated. For more parameters, there can be an infinite number of generators.

The paper explores how semantic independence can be captured in text embeddings using partial orthogonality.

problem Capturing semantic independence in text embeddings.
method Developed a theory and methods based on partial orthogonality to demonstrate semantic independence.
result Partial orthogonality captures semantic independence in text embeddings.

We develop the necessary theory in computational algebraic geometry to place Bayesian networks into the realm of algebraic statistics. We present an algebra{statistics dictionary focused on statistical modeling. In particular, we link the notion of effiective dimension of a Bayesian network with the notion of algebraic…

2012-07-11abs ↗pdf ↗

New framework extends ICA for non-independent variables, identifying pairwise mean independence.

problem Non-independent variables complicating ICA recovery.
method Algebraic recovery algorithm based on least-squares optimization over the orthogonal group.
result Pairwise mean independence is identifiable, robust to independence constraints.

Paper develops streaming algorithms to estimate classifier accuracy on unlabeled data.

problem Estimating classifier accuracy on unlabeled data with noisy decisions.
method Two algebraic evaluators: majority voting and a novel method to handle correlated classifiers.
result The novel method can be as accurate as 1% when handling small amounts of correlation.

We relate canonical algebraic curvature tensors that are built from a self-adjoint (RASR^S_A) or skew adjoint (RAΛR^Λ_A) linear operator A. Several authors have proven that any algebraic curvature tensor RR may be expressed as a sum of RASR^S_A, or as a sum of RAΛR^Λ_A. This motivates our interest in relating them as well…

2015-10-09abs ↗pdf ↗

Recently V. Ginzburg proved that Calogero phase space is a coadjoint orbit for some infinite dimensional Lie algebra coming from noncommutative symplectic geometry. In this note we generalize this argument to specific quotient varieties of representations of (deformed) preprojective algebras. This result was also obtai…

2000-10-03abs ↗pdf ↗

Operators on the ring of algebraically constructible functions are used to compute local obstructions for a four-dimensional semialgebraic set to be homeomorphic to a real algebraic set. The link operator and arithmetic operators yield 243432^{43}-43 independent characteristic numbers mod 2, which generalize the Akbulut-K…

1998-09-11abs ↗pdf ↗

Results on derivations and automorphisms of some quantum and classical Poisson algebras, as well as characterizations of manifolds by the Lie structure of such algebras, are revisited and extended. We prove in particular somehow unexpected fact that the algebras of linear differential operators acting on smooth section…

2005-10-03abs ↗pdf ↗

We present an algebraic procedure that finds the Lie algebra of the local Killing fields of a smooth metric. In particular, we determine the number of independent local Killing fields about a given point on the manifold. Spaces of constant curvature and locally symmetric spaces are also discussed. Furthermore, we obtai…

2008-08-27abs ↗pdf ↗

We provide a theoretical treatment of over-specified Gaussian mixtures of experts with covariate-free gating networks. We establish the convergence rates of the maximum likelihood estimation (MLE) for these models. Our proof technique is based on a novel notion of \emph{algebraic independence} of the expert functions. …

2019-07-09abs ↗pdf ↗

For a complex projective manifold Gromov-Witten invariants can be constructed either algebraically or symplectically. Using the versions of Gromov-Witten theory by Behrend and Fantechi on the algebraic side and by the author on the symplectic side, we prove that both points of view give the same results. A similar stat…

1998-04-22abs ↗pdf ↗

Contrastive ICA identifies features in experimental groups relative to controls.

problem Jointly analyzing experimental and control datasets to identify salient features.
method Developed contrastive ICA (cICA) using tensor decomposition.
result cICA identifies patterns and visualizes data effectively, outperforming existing methods.

The paper presents a new algebraic structure for planar surfaces.

problem Understanding the algebraic structure of planar surfaces.
method Explicitly defined generators and relations for Kauffman bracket skein algebras of planar surfaces.
result A new independent presentation of Kauffman bracket skein algebras for planar surfaces.

New algebraic formalism for differential calculus in Diolic algebras.

problem Studying differential calculus in vector bundles.
method Introducing functors of differential calculus over arbitrary graded commutative algebras (DCGCA) and applying this to Diolic algebras.
result Recovery of well-known objects and notions from ordinary differential, symplectic, and Poisson geometry, with unique aspects.

We recall the definitions of two independently defined elliptic versions of the Kashiwara-Vergne Lie algebra krv\frak{krv}, namely the Lie algebra krv(1,1)\frak{krv}^{(1,1)} constructed by A.Alekseev, N.Kawazumi, Y.Kuno and F.Naef arising from the study of graded formality isomorphisms associated to topological fundamental gr…

2018-09-25abs ↗pdf ↗

Establishes a Li-Yau type inequality for curves in any codimension.

problem Finding a lower bound for the normalized bending energy of curves in Euclidean space of any codimension.
method Variational approach, Langer-Singer's classification of elasticae, André's algebraic-independence theorem.
result Optimal inequality for any codimension except for planar closed curves with odd multiplicity.

Based on hyperbolic geometric considerations, Roger and Yang introduced an extension of the Kauffman bracket skein algebra that includes arcs. In particular, their skein algebra is a deformation quantization of a certain commutative curve algebra, and there is a Poisson algebra homomorphism between the curve algebra an…

2019-09-06abs ↗pdf ↗

When solving data analysis problems it is important to integrate prior knowledge and/or structural invariances. This paper contributes by a novel framework for incorporating algebraic invariance structure into kernels. In particular, we show that algebraic properties such as sign symmetries in data, phase independence,…

2014-11-28abs ↗pdf ↗

New invariant distinguishes lens spaces via categorified homotopy E_3-algebra.

problem Distinguishing lens spaces using categorified homotopy E_3-algebra.
method Categorification of LMO invariant using factorization homology and E_3-algebra structure of Jacobi diagrams.
result Constructs an invariant that distinguishes lens spaces.

Characterizes real left symmetric algebras with positive definite Koszul form and related Kähler-Einstein structures.

problem Characterizing real left symmetric algebras with positive definite Koszul form.
method Analyzes the properties of left multiplication operators and symmetric bilinear forms.
result Provides a complete characterization of real left symmetric algebras with positive definite Koszul form.

Paper explores how unsupervised learning can be understood through linear algebra concepts.

problem Understanding unsupervised learning through linear algebra concepts.
method Introducing the concept of linearly independent populations and using them to solve for prevalence values.
result Unsupervised learning can be realized as a generalization of supervised learning.

Estimates marginal independence structure of Bayesian networks from data.

problem Learning the marginal independence structure of Bayesian networks from observational data.
method Using Gröbner basis and MCMC method (GrUES) to connect and recover the true structure.
result GrUES recovers the true marginal independence structure at a higher rate than simple independence tests.

Let S be a path-connected, locally-compact CW-complex, and let M be a subcomplex with finitely-many components. A `decorated SL_2(C)-local system' is an SL_2(C)-local system on S, together with a choice of `decoration' at each component of M (a section of the stalk of an associated vector bundle). We study the (decorat…

2011-07-17abs ↗pdf ↗

Many extensions of General Relativity are based on considering metric and affine structures as independent properties of spacetime. This leads to the possibility of introducing torsion as an independent degree of freedom. In this article we examine the effects of torsion on the affine Killing vectors of two-dimensional…

2019-06-04abs ↗pdf ↗

Kernelized cumulants improve statistical analysis in high-dimensional spaces.

problem Statistical analysis in high-dimensional spaces with low variance estimators.
method Extending cumulants to RKHS using tensor algebra and kernel trick.
result Kernelized cumulants provide new all-purpose statistics with computational tractability.