Research
On-device research index

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.

168,657 papers · 148 categories

Trend · papers per month

62124186248 · May 202619922001200920172026
48 results for Spectral geometry

The abstract discusses a spectral sequence for Lie algebroids.

problem The abstract tackles the spectral sequence of Lie algebroids.
method The abstract presents a spectral sequence for Lie algebroids, generalizing classical constructions.
result The spectral sequence converges to Lie algebroid cohomology for wide Lie subalgebroids and to formal Lie algebroid cohomology for Lie subalgebroids over proper submanifolds.

S-GAI initializes MLPs using spectral geometry from data, improving performance.

problem Lack of guidance on initial weights encoding data geometry.
method S-GAI uses SVD to estimate spectral class geometry, initializing MLPs from training data.
result S-GAI-initialized MLPs start from a more informative hidden state and achieve comparable accuracy.

The paper develops heat kernel comparison theorems and applies them to spectral geometry.

problem Developing mathematical tools for spectral geometry.
method Established weighted heat kernel comparison theorems for manifolds with bounded radial curvatures.
result Two eigenvalue comparison theorems for the first Dirichlet eigenvalue of the Witten-Laplacian.

Estimates spectral projections restricted to uniformly embedded submanifolds.

problem Estimating spectral projections on submanifolds of manifolds with nonpositive curvature.
method Estimates the L2(M)oLq(Σ)L^2(M) o L^q(Σ) norm of spectral projection operators.
result Sharp spectral projection estimates for small spectral windows.

A theory of feature geometry using spectral analysis of weight matrices.

problem Current methods decompose neural network activations into sparse linear features, losing geometric structure.
method Develops a theory by analyzing the spectra of weight-derived matrices, introducing the frame operator.
result Features collapse onto single eigenspaces, organizing into tight frames, and admit discrete classification.

The Steklov problem is an eigenvalue problem with the spectral parameter in the boundary conditions, which has various applications. Its spectrum coincides with that of the Dirichlet-to-Neumann operator. Over the past years, there has been a growing interest in the Steklov problem from the viewpoint of spectral geometr…

2014-11-24abs ↗pdf ↗

Study compares spectral properties of a specific tensor in geometry.

problem Comparing spectral properties of a specific tensor in geometry.
method Diameter and global weighted volume comparison with a positive lower bound on the NN-Bakry-Emery Ricci tensor.
result Established diameter and volume comparisons for tensors with positive lower bounds.

We study spectral asymptotics for the Laplace operator on differential forms on a Riemannian foliated manifold equipped with a bundle-like metric in the case when the metric is blown up in directions normal to the leaves of the foliation. The asymptotical formula for the eigenvalue distribution function is obtained. Th…

1995-06-13abs ↗pdf ↗

Spectral graph sparsification preserves geometry of GNN embeddings.

problem Maintaining geometric properties of graph neural network embeddings during sparsification.
method Proving spectral sparsification preserves squared pairwise distances, class means, and covariance structure in embedding space.
result Spectral sparsification preserves the geometry of learned embeddings in GNNs.

Proposes a new gauge theory for fuzzy geometries using finite-dimensional algebras.

problem Modeling fuzzy geometries in noncommutative geometry.
method Introduces a Yang-Mills-Higgs matrix model based on gauge matrix spectral triples.
result States Yang-Mills-Higgs theory as an explicit random multimatrix model.

We study the spectrum of the Finsler--Laplace operator for regular Hilbert geometries, defined by convex sets with C2C^2 boundaries. We show that for an nn-dimensional geometry, the spectral gap is bounded above by (n1)2/4(n-1)^2/4, which we prove to be the infimum of the essential spectrum. We also construct examples of c…

2012-11-27abs ↗pdf ↗

Study confirms nullity of biharmonic maps family, linking spectral and arithmetic geometry.

problem Prove nullity of biharmonic maps from flat 2-torus to round 2-sphere.
method Use spectral geometry, construct polynomial isomorphism with elliptic curve, determine rational points on spectral curve.
result Nullity of every map in the family is 5, confirming conjecture.

Magnitude of geometric shapes studied for smooth manifolds, revealing spectral geometry insights.

problem Understanding the geometric significance of Leinster's magnitude for smooth manifolds.
method Investigation of magnitude function for various distance functions, including submanifolds and Riemannian manifolds, with asymptotic analysis in the limit.
result Magnitude function is well-defined and meromorphically continued for large distances, revealing volume, surface area, and curvature integrals.

Study non-squeezing phenomena in contact geometry using specific capacities.

problem Detect and quantify non-squeezing in contact geometry.
method Defined and computed two contact capacities, using spectral selectors and Givental's non-linear Maslov index.
result Discovered and quantified non-squeezing phenomena in lens spaces and strongly order able closed prequantizations.

This is the introduction and bibliography for lecture notes of a course given at the Summer School on Noncommutative Geometry and Applications, sponsored by the European Mathematical Society, at Monsaraz and Lisboa, Portugal, September 1-10, 1997. In the published version, an epilogue of recent developments and many ne…

1997-09-30abs ↗pdf ↗

Paper combines geometry and time-series analysis for spatiotemporal data.

problem Multivariate time-series data from multiple sensors.
method Combines manifold learning, Riemannian geometry, and spectral analysis.
result Proposes Riemannian multi-resolution analysis (RMRA) for dynamic mode extraction.

Study approximates top Lyapunov exponents for surface mapping classes.

problem Approximating topological Lyapunov exponents for surface mapping classes.
method Periodic approximation and joint spectral radius extension.
result Top Lyapunov exponents can be approximated by periodic orbits.

We identify spectral conditions for reliable neural probe interpretation.

problem Unreliable performance of linear probes in interpreting neural representations.
method Formalized Spectral Identifiability Principle (SIP) based on eigengap and Fisher error.
result Reliability of neural probes depends on the eigengap relative to Fisher estimation error.

Study small perturbations on low energy Laplace eigenfunctions.

problem Understanding small changes in low energy Laplace eigenfunctions.
method Investigates nodal geometry and topology, focusing on low frequency regimes and small perturbations.
result Highlight interesting aspects of spectral theory and nodal phenomena tied to ground state/low energy eigenfunctions.

The paper explores rigidity theorems for spectral curvature bounds in 3-manifolds.

problem Classical rigidity results in scalar curvature geometry are extended to the spectral setting.
method Warped μμ-bubble method is systematically employed to classify stable weighted minimal hypersurfaces and establish band width estimates.
result Classification theorems and band width estimates for spectral Ricci and scalar curvatures are proven.

We extend a result of Patodi for closed Riemannian manifolds to the context of closed contact manifolds by showing the condition that a manifold is an ηη-Einstein Sasakian manifold is spectrally determined. We also prove that the condition that a Sasakian space form has constant φφ-sectional curvature cc is spectral…

2012-04-12abs ↗pdf ↗