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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.

169,341 papers · 148 categories

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48 results for spectral connectivity

This paper explains spectral clustering and its equivalence to PCA, breaking it into fully connected and multi-connected cases.

problem Understanding the mathematics behind spectral clustering and its equivalence to PCA.
method Dividing spectral clustering into two categories based on graph connectivity and proving the equivalence to PCA.
result Spectral clustering and PCA are equivalent, with specific proofs for fully connected and multi-connected graphs.

Defines spectral varieties for non-simply connected manifolds and constructs conformal invariants.

problem Analyzing spectra of magnetic Laplacians on non-simply connected manifolds.
method Definition of spectral varieties and construction of conformal invariants.
result New conformal invariants of immersions of surfaces into 3- and 4-dimensional spaces.

The paper connects group extensions, cochains, and spectral sequences.

problem Understanding the relationship between group extensions and spectral sequences.
method Using connection cochains, the paper derives a formula for the extension class.
result A formula clarifies the relation among connection cochains, extension classes, and the LHS spectral sequence.

The paper studies spectral convergence of connections on vector and principal bundles.

problem Continuity of eigenvalues of connection Laplacians on vector bundles.
method Introducing a new topology on metric measure spaces with isometric GG-actions to analyze convergence of GG-connections.
result Established spectral convergence of connections on vector and principal bundles.

Optimizes projections for binary data separation using spectral connectivity.

problem Maximizing separability of binary partitions in unlabelled datasets.
method Minimizes the second eigenvalue of the graph Laplacian, using spectral connectivity.
result Optimal projections converge to the maximum margin hyperplane as scaling parameter approaches zero.

We explain that spectral networks are a unifying framework that incorporates both shear (Fock-Goncharov) and length-twist (Fenchel-Nielsen) coordinate systems on moduli spaces of flat SL(2,C) connections, in the following sense. Given a spectral network W on a punctured Riemann surface C, we explain the process of "abe…

2013-12-10abs ↗pdf ↗

The paper proves conditions for Kähler and Riemannian manifolds to be simply connected.

problem Conditions for Kähler and Riemannian manifolds to be simply connected.
method Spectral positivity assumptions for Kähler manifolds and a specific spectral positivity assumption for Riemannian manifolds.
result Compact Kähler manifolds and Riemannian manifolds under the specified spectral positivity assumptions are simply connected.

New spectral triples for higher-rank graphs linked to wavelet decompositions.

problem Creating spectral triples for higher-rank graph CC^*-algebras.
method Generalizing spectral triples from Cuntz-Krieger algebras to higher-rank graph CC^*-algebras and connecting them to wavelet decompositions.
result Wavelet decompositions describe eigenspaces of Dirac operators in these spectral triples.

Proves a conjecture for a specific group using spectral sequences and homology.

problem Proves the Gromov-Lawson-Rosenberg Conjecture for the group Z/4xZ/4.
method Used the Adams spectral sequence and detection theorems to compute connective real k-homology.
result Determines differentials of the Adams spectral sequence and studies the cap structure of relevant sub-hopf algebras.

This paper provides theoretical guarantees for spectral clustering using graph cuts.

problem Lack of performance guarantees for spectral clustering.
method Convex relaxation of graph cuts, spectral proximity condition, algebraic connectivity, inter-cluster connectivity.
result Deterministic bounds for successful spectral clustering are derived.

Proposes CRG_IMSC for better clustering of multi-view data.

problem Lack of effective connectivity in clustering results.
method Directly obtains clustering result with nonnegative constraint; constructs connectivity matrix based on spectral clustering result; uses multiplicative update algorithm.
result Improves clustering performance on benchmark datasets.

The paper defines surface area for graphs and derives spectral estimates.

problem Understanding connectivity measures and spectral properties of graphs.
method Introducing surface area concepts related to inverse degree and deriving spectral bounds.
result An upper bound on the second eigenvalue for planar graphs.

Defines curvature for spectral triples and applies to θ-deformations.

problem Defining curvature for noncommutative spectral triples.
method Using Levi-Civita connection, defines curvature tensors and derives Weitzenbock formula.
result Riemann and Ricci tensors transform naturally under θ-deformation, while scalar curvature is invariant.

Study connects spectral clustering to maximum margin and level set estimation.

problem Connecting spectral clustering to maximum margin and level set estimation.
method Obtained bounds on eigenvectors of graph Laplacian matrices in terms of cluster separation and connectivity. Showed sensitivity mitigation by removing outliers and estimating level sets.
result Spectral clustering converges to maximum margin clustering as scaling parameter approaches zero.

Paper develops a method for estimating spectral density matrices in high-dimensional time series.

problem Estimating spectral density matrices in high-dimensional time series.
method Thresholded versions of averaged periodograms for regularized estimation.
result Consistent estimation of spectral density matrices possible under high-dimensional regime.

Study of meromorphic connections and their spectral duals in gl3(C)\mathfrak{gl}_3(\mathbb{C}).

problem Exploring \hbar-deformed meromorphic connections and their spectral duals.
method Using apparent singularities and their dual partners as Darboux coordinates, the Hamiltonian evolutions and reductions are derived.
result Spectral duality extends to Hamiltonian evolutions, tau-functions, and Hermitian matrix models on both sides.

Spectral clustering identifies node groups in time-varying networks.

problem Identifying evolving community structures in dynamic networks.
method Estimate edge probabilities using a kernel-type procedure and apply spectral clustering.
result The method is computationally efficient and robust to varying membership rates.

Functorial correspondence found between logarithmic connections and abelian connections.

problem Establishing a relationship between logarithmic sl2\mathfrak{sl}_2-connections and abelian connections.
method Constructing inverse functors and a canonical cocycle.
result Functorial correspondence proved between logarithmic sl2\mathfrak{sl}_2-connections and abelian connections.

Introduces internal Lagrangians for differential equations and connects them to presymplectic structures.

problem Understanding the geometry of differential equations and their solutions.
method Develops a spectral sequence related to internal Lagrangians and investigates connections to presymplectic structures.
result Interprets a term in Vinogradov's spectral sequence for gauge theories.

Curvature defined for Hilbert modules and Kasparov modules.

problem Defining and studying curvature in Hilbert modules and Kasparov modules.
method Introduced curvature for densely defined universal connections on Hilbert CC^{*}-modules relative to spectral triples.
result Curvature only depends on the represented form of the universal connection modulo junk forms.

New spectral functionals for Dirac operators with inner fluctuations computed.

problem Spectral functionals and Dirac operators with inner fluctuations.
method Extension of spectral functionals for Dirac operators with inner fluctuations.
result Computed spectral Einstein functional for Dirac operator with inner fluctuations on even-dimensional spin manifolds.

Estimates the number of connected components in a graph from a sampled subgraph.

problem Inferring the number of connected components in a larger graph from a sampled subgraph.
method A highly redundant and large-dimensional representation of the subgraph using counts of network motifs, leading to a novel estimator for the number of connected components.
result Improves upon competing algorithms for graphs with spectral gaps bounded away from zero.

The paper introduces a trilinear functional to recover torsion in spectral triples.

problem Recovering torsion in noncommutative spectral triples.
method Introduces a trilinear functional for spectral triples and demonstrates its application to recover torsion.
result The trilinear functional recovers the torsion of the linear connection in canonical spectral triples.

Connected sum of manifolds preserves Ricci lower bounds.

problem Proving connected sum of manifolds with spectral Ricci lower bounds.
method Geometric construction resembling Gromov-Lawson tunnel, focusing on γ>n1n2γ> \frac{n-1}{n-2}.
result Connected sum M#NM \# N also admits a metric satisfying the Ricci lower bound condition.

The paper analyzes spectral properties of connection Laplacian on tori, proving convergence to real torus.

problem Spectral analysis of connection Laplacian on tori.
method Employing parallel orthonormal basis in pullback bundle, examining eigenvalues of connection Laplacian on real and discrete tori.
result Eigenvalues of connection Laplacian on discrete tori converge to those on real torus, with unique twist in torsion matrix.

Paper introduces a new multilinear functional for spectral triples and computes its properties.

problem Computing properties of spectral triples and their associated Hodge operators.
method Introduces a new multilinear functional for spectral triples and computes its properties using noncommutative residue and perturbed de-Rham Hodge operators.
result Recover two forms, torsion of the linear connection, and four forms by the noncommutative residue and perturbed de-Rham Hodge Dirac triple.

Study Berry connections for 2d GLSMs, linking to cohomology theories.

problem Quantise ground states of 2d (2,2)(2,2) GLSMs on a circle.
method Relate periodic monopole solutions to difference modules and vector bundles with filtrations.
result Derive novel difference equations for brane amplitudes and vortex partition functions.

Study on spectral points of Inoue surfaces with Tricerri metric.

problem Identifying spectral points on Inoue surfaces.
method Analyzing chiral Dirac operators twisted by flat C\mathbb C^*-connections.
result No spectral points inside the annulus α1/4<z<α1/4α^{-1/4} < |z| < α^{1/4}, with spectral points on boundary.