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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.

168,786 papers · 148 categories

Trend · papers per month

count% of corpus
0.3%0.5%0.8%0.1% · Dec 201719922001200920172026
5 results for “eigendistributions”
Conjugate points for systems of second-order ordinary differential equationsmath.DG

The paper defines conjugate points for systems of second-order ODEs and discusses their properties.

problem Defining and analyzing conjugate points for systems of second-order ordinary differential equations.
method Using Jacobi fields and eigendistributions of the Jacobi endomorphism, the paper extends the concept of conjugate points to a generalization of locally symmetric spaces and Lagrangian systems with symmetry.
result The paper provides a comprehensive analysis of conjugate points for various types of systems of second-order ordinary differential equations.
conjugate pointssecond-order ODEsJacobi fieldseigendistributionslocally symmetric spaces
2019-09-11abs ↗pdf ↗
Kahler manifolds with some Killing tensorsmath.DG

The aim of this paper is to classify compact, simply connected Kähler manifolds which admit J-invariant Killing tensor with two eigenvalues of multiplicity 2 and n-2 and with constant eigenvalue corresponding to 2-dimensional eigendistribution.

2017-12-16abs ↗pdf ↗
Precise Asymptotic Analysis of Deep Random Feature Modelsstat.ML

Deep random feature models are analyzed for their performance with exact asymptotic expressions.

problem Understanding the performance of deep random feature models.
method Established a novel universality result and used the convex Gaussian Min-Max theorem.
result Exact asymptotic expressions for the performance of deep random feature models are derived.
deep learningrandom feature modelsasymptotic analysisuniversal approximationconvex Gaussian Min-Max theorem
2023-02-13abs ↗pdf ↗