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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.

169,181 papers · 148 categories

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48 results for projection formalism

This paper explores how local behavior of meromorphic connections on the projective line determines the global connection.

problem Determining the global meromorphic connection based on specified local behavior at singular points.
method Expository discussion of various problems related to meromorphic connections with specified local behavior, including Deligne-Simpson and rigidity problems.
result The existence and nonemptiness of moduli spaces of meromorphic connections with specified local behavior.

In this paper we generalize special geometry to arbitrary signatures in target space. We formulate the definitions in a precise mathematical setting and give a translation to the coordinate formalism used in physics. For the projective case, we first discuss in detail projective Kaehler manifolds, appearing in N=1 supe…

2006-12-19abs ↗pdf ↗

The projective metrizability problem can be formulated as follows: under what conditions the geodesics of a given spray coincide with the geodesics of some Finsler space, as oriented curves. In Theorem 3.8 we reformulate the projective metrizability problem for a spray in terms of a first-order partial differential ope…

2011-05-11abs ↗pdf ↗

Data-driven model reduction captures non-Markovian dynamics using Koopman and Mori-Zwanzig formalisms.

problem Modeling complex, non-Markovian dynamics efficiently and understanding their underlying mechanisms.
method Formulates data-driven model reduction within Koopman and Mori-Zwanzig formalisms, deriving NARMAX models from dynamical systems.
result Shows how data-driven methods can represent non-Markovian dynamics using Koopman and Mori-Zwanzig formalisms.

Projective simulation converges to optimal behavior in Markov decision processes.

problem Optimizing reinforcement learning in Markov decision processes.
method Projective simulation framework applied to reinforcement learning.
result Projective simulation converges to optimal behavior in a large class of Markov decision processes.

The aim of the present paper is to provide an intrinsic investigation of projective changes in Finlser geometry, following the pullback formalism. Various known local results are generalized and other new intrinsic results are obtained. Nontrivial characterizations of projective changes are given. The fundamental proje…

2009-04-09abs ↗pdf ↗

With increasing concerns about security, the need for highly secure physical biometrics-based authentication systems utilizing \emph{cancelable biometric} technologies is on the rise. Because the problem of cancelable template generation deals with the trade-off between template security and matching performance, many …

2014-01-17abs ↗pdf ↗

In this paper we describe market in projective geometry language and give definition of a matrix of market rate, which is related to the matrix rate of return and the matrix of judgements in the Analytic Hierarchy Process (AHP). We use these observations to extend the AHP model to projective geometry formalism and gene…

2007-09-27abs ↗pdf ↗

Study of affine and projective structures on foliated complex manifolds.

problem Formalizing and analyzing affine and projective structures on foliations.
method Formalizing concepts, providing local normal forms, proving index formulae, classifying structures.
result Compact algebraic manifolds of even dimension do not admit foliated projective structures.

New geometric structures that relate the lagrangian and hamiltonian formalisms defined upon a singular lagrangian are presented. Several vector fields are constructed in velocity space that give new and precise answers to several topics like the projectability of a vector field to a hamiltonian vector field, the comput…

2000-09-29abs ↗pdf ↗

The time evolution operator KK is introduced in the graded context and its main properties are discussed. In particular, the operator KK is used to analize the projectability of constraint functions arising in the Lagrangian formalism for singular Lagrangians.

2001-12-13abs ↗pdf ↗

Survey on minimal rational curves and their geometric structures.

problem Germ-equivalence problem of minimal rational curves on uniruled projective manifolds.
method Analysis of isotrivial families of projective varieties and G-structures.
result Natural G-structure on Zariski-open subset of uniruled projective manifolds.

Generalized Tanaka prolongation ensures convergence of formal embeddings of complex manifolds.

problem Ensuring convergence of formal embeddings of complex manifolds under weaker conditions.
method Formulated and proved generalized Tanaka prolongation for geometric structures.
result Convergence of formal embeddings holds under weaker semi-positive normal bundle conditions.

Nontrivial Massey products found on compact Kähler manifolds.

problem Understanding the cohomology structure of compact Kähler manifolds.
method Analyzing the bigraded quasi-isomorphism type of forms on compact Kähler manifolds.
result Nontrivial ABC-Massey products exist on compact Kähler manifolds, including on surfaces and higher-dimensional manifolds.

This paper formalizes the h-principle and sphere eversion in differential topology.

problem Formalizing the h-principle and sphere eversion in differential topology.
method Lean formalization of the local h-principle for first-order partial differential relations, using convex integration.
result Reproves Smale's sphere eversion theorem and formalizes advanced mathematics.

We sketch our recent application of a non-commutative version of the Cartan `moving-frame' formalism to the quantum Euclidean space RqNR^N_q, the space which is covariant under the action of the quantum group SOq(N)SO_q(N). For each of the two covariant differential calculi over RqNR^N_q based on the RR-matrix formalism, we…

2000-07-07abs ↗pdf ↗

Develops formal moduli theory for splitting complex supermanifolds.

problem Tackles the splitting problem of complex supermanifolds.
method Constructs a filtered dg Lie algebra to control splittings and transfers the theory to a minimal filtered LL_\infty-model.
result Recover classical obstruction classes as leading terms of Maurer-Cartan representatives and proves the existence of higher obstructions.

This thesis is concerned with the theory of invariant bilinear differential pairings on parabolic geometries. It introduces the concept formally with the help of the jet bundle formalism and provides a detailed analysis. More precisely, after introducing the most important notations and definitions, we first of all giv…

2009-04-21abs ↗pdf ↗

A method to simplify complex high-dimensional data visualization.

problem Difficult interpretation of linear projections in high-dimensional data.
method Decomposition of linear projections into axis-aligned projections using Dempster-Shafer theory.
result Linear projections can be effectively represented by a sparse set of axis-aligned projections, revealing more intuitive insights.

We determine an explicit presentation by generators and relations of the cohomology algebra H(P2C,C)H^*(\mathbb P^2\setminus C,\mathbb C) of the complement to an algebraic curve CC in the complex projective plane P2\mathbb P^2, via the study of log-resolution logarithmic forms on P2\mathbb P^2. As a first consequence, we de…

2007-11-13abs ↗pdf ↗

Develops a new framework for temporal anchoring in deep embedding spaces.

problem Temporal anchoring in deep embedding spaces, especially drift and convergence issues.
method Operator-theoretic framework with drift maps and event-indexed blocks, proving convergence theorems and equivalence theorems.
result Proves convergence theorems and equivalence theorems for the proposed framework.

We formalize causal separation in portfolio theory, deriving a closed-form projected Markowitz solution.

problem Portfolio optimization under causal separation conditions.
method Derive a closed-form solution for portfolio optimization using causal separation conditions.
result A closed-form projected Markowitz solution is derived under causal separation conditions.

A parametric manifold can be viewed as the manifold of orbits of a (regular) foliation of a manifold by means of a family of curves. If the foliation is hypersurface orthogonal, the parametric manifold is equivalent to the 1-parameter family of hypersurfaces orthogonal to the curves, each of which inherits a metric and…

1994-07-12abs ↗pdf ↗

For a finite rank projective bundle over a compact manifold, so associated to a torsion, Dixmier-Douady, 3-class, w, on the manifold, we define the ring of differential operators `acting on sections of the projective bundle' in a formal sense. In particular, any oriented even-dimensional manifold carries a projective s…

2004-02-20abs ↗pdf ↗

Researchers find Busemann functions in Wasserstein space, enabling efficient projections and distances.

problem Defining Busemann functions in Wasserstein space for efficient data projections and distances.
method Investigated existence and computation of Busemann functions in Wasserstein space, establishing closed-form expressions for specific cases.
result Explicit projection schemes for probability distributions on \(\mathbb{R}\) enable novel Sliced-Wasserstein distances over Gaussian mixtures and labeled datasets.

Applying concepts and tools from classical tangent bundle geometry and using the apparatus of the calculus along the tangent bundle projection ('pull-back formalism'), first we enrich the known lists of the characterizations of affine vector fields on a spray manifold and conformal vector fields on a Finsler manifold. …

2011-11-07abs ↗pdf ↗

Let N\mathcal{N} be the space of Gaussian distribution functions over R\mathbb{R}, regarded as a 2-dimensional statistical manifold parameterized by the mean μμ and the deviation σσ. In this paper we show that the tangent bundle of N\mathcal{N}, endowed with its natural Kähler structure, is the Siegel-Jacobi space…

2014-09-28abs ↗pdf ↗

While statistical learning methods have proved powerful tools for predictive modeling, the black-box nature of the models they produce can severely limit their interpretability and the ability to conduct formal inference. However, the natural structure of ensemble learners like bagged trees and random forests has been …

2014-06-07abs ↗pdf ↗