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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.

169,051 papers · 148 categories

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48 results for flow tracing

Quantum stochastic flow computes heat kernel traces for Ricci flat manifolds.

problem Computing heat kernel traces for Ricci flat manifolds.
method Quantum stochastic differential equation (qsde) on Fock space over L2L^2 differential 1-forms, adapted flow construction.
result Trace of the connection Laplacian heat kernel can be computed over any compact Ricci-flat Riemannian manifold.

We show a connection between the linear trace Li-Yau-Hamilton inequality for the Kaehler-Ricci flow and the monotonicity formula for the positive currents. As an application of the linear trace Li-Yau-Hamilton stated in this paper and the one proved by Chow-Hamiltonm, we give another proof on the classification of the …

2002-11-13abs ↗pdf ↗

Study geometric quantization of Hamiltonian flows using Berezin-Toeplitz operators.

problem Quantum dynamics of Hamiltonian flows over symplectic manifolds.
method Geometric quantization, Berezin-Toeplitz operators, parallel transport.
result Established a Gutzwiller trace formula for Kostant-Souriau operator.

Study of Hamiltonian flows on character varieties for self-intersecting curves.

problem Analyzing periodic orbits of Hamiltonian flows on character varieties.
method Explicit computations in Fock-Goncharov coordinates.
result Hamiltonian flows of trace functions associated to self-intersecting curves on a pair of pants have periodic orbits.

Researchers compute trace formula for magnetic Laplacian on hyperbolic surfaces.

problem Analyzing the magnetic Laplacian on compact hyperbolic surfaces.
method Computed the trace formula for magnetic Laplacian energies above the Mane critical level.
result Asymptotic behavior of trace formula coefficients near the Mane critical level.

OT-Flow uses optimal transport to improve CNFs for faster and more accurate density estimation.

problem Computational challenges in continuous normalizing flows.
method OT-Flow leverages optimal transport to regularize CNFs and uses exact trace computation.
result OT-Flow achieves competitive performance with one-fourth the number of weights and significant speedups.

We prove a dynamical wave trace formula for asymptotically hyperbolic (n+1) dimensional manifolds with negative (but not necessarily constant) sectional curvatures which equates the renormalized wave trace to the lengths of closed geodesics. A corollary of this dynamical trace formula is a dynamical resonance-wave trac…

2008-09-19abs ↗pdf ↗

An important and natural question in the analysis of Ricci flow singularity formation in dimensions four and above is as follows: What are the weakest conditions that provide control of the norm of the Riemann curvature tensor? In this short note, we show that on a compact manifold, the trace-free Ricci tensor is contr…

2007-11-07abs ↗pdf ↗

Generative model for condensed matter using Riemannian flow matching.

problem Sampling equilibrium distributions in condensed-phase systems.
method Riemannian flow matching to incorporate periodicity, using Hutchinson's trace estimator and cumulant expansion for bias correction.
result Highly accurate free energy estimates on monatomic ice without multistage estimators.

A trace formula for foliated flows on closed manifolds.

problem Establishing a trace formula for foliated flows on closed manifolds.
method Using leafwise currents and cohomologies, a trace formula is derived involving infinitesimal data from closed orbits and preserved leaves.
result A trace formula is proven for foliated flows on closed manifolds, solving a conjecture by C. Deninger.

We prove a linear trace Li-Yau-Hamilton inequality for the Kaehler-Ricci flow. We then use this sharp differential inequality to study the Liouville properties of the plurisubharmonic functions on complete Kaehler manifolds with nonnegative bisectional curvature.

2002-11-14abs ↗pdf ↗

New gauge preserves Einstein metrics' interactions, proving rigidity on negatively curved manifolds.

problem Stability and deformation theory of Einstein metrics.
method Introduces Chen-Nagano gauge condition, linking Lichnerowicz Laplacian to shifted scalar operator.
result Chen-Nagano gauge collapses to classical transverse-traceless gauge under spectral pinching assumptions.

TRACE improves conformal prediction for multi-dimensional outputs.

problem Challenges in constructing valid and informative conformal prediction regions for multi-dimensional outputs.
method TRACE uses transport alignment in diffusion and flow matching models to define nonconformity scores.
result TRACE yields valid and adaptive conformal prediction regions for multimodal and non-convex distributions.

FlowGN tackles graph representation learning by tracing information flow paths.

problem GCNs struggle with over-smoothing and scalability issues.
method FlowGN introduces a 'Sourceo oSink' mode and 'information flow path' concept.
result FlowGN outperforms state-of-the-art GCNs in public datasets.

Formula derived for zeta functions of 3D foliated systems.

problem Analyzing zeta functions of 3D Riemannian foliated dynamical systems.
method Relating dynamical spectral ξξ-functions to zeta functions using the distributional dynamical Lefschetz trace formula.
result Proved a regularized determinant formula for zeta functions.

Study improves Harnack estimates for porous medium equation under geometric flow.

problem Improving Harnack estimates for solutions to the porous medium equation under evolving metrics.
method Differential Harnack estimates for positive solutions to the porous medium equation with potential on time-dependent Riemannian metrics evolving by geometric flow.
result New Harnack estimates for the porous medium equation under geometric flow.

Symplectic GP regression models Hamiltonian systems for particle tracing.

problem Efficiently modeling long-term Hamiltonian flow maps for charged particles.
method Multi-output Gaussian process regression with symplectic matrix-valued covariance function.
result Symplectic methods outperform existing approaches in learning Hamiltonian functions.

Study Floer theory of hyperbolic three-manifolds using Dirac spectral flow.

problem Computing Floer theory of hyperbolic three-manifolds with non-trivial homology.
method Combining geometric data with Fourier analytic tools and odd Selberg trace formulas.
result First computations of monopole Floer chain complexes for hyperbolic three-manifolds.

In this paper we prove that the moduli space of metrics with positive scalar curvature of an orientable compact 3-manifold is path-connected. The proof uses the Ricci flow with surgery, the conformal method, and the connected sum construction of Gromov and Lawson. The work of Perelman on Hamilton's Ricci flow is fundam…

2009-07-14abs ↗pdf ↗

Study reveals how to determine area and curvature from fluid flow resonances.

problem Determining geometric properties from fluid flow data.
method Asymptotic expansion of heat kernel and Steklov spectral invariants.
result Area and total mean curvature can be inferred from Steklov eigenvalues.

Study of curvature tensor algebra with nonstandard multiplications.

problem Understanding curvature tensor algebra structures.
method Investigates orthogonally invariant commutative nonassociative multiplications on curvature tensors.
result Characterizes curvature tensor algebras in low dimensions and proves their simplicity in higher dimensions.

The paper studies special Lagrangian submanifolds in complex spaces and derives inequalities and flow methods.

problem Understanding energy gap phenomena of Lagrangian submanifolds in complex space forms.
method Investigation of Lagrangian submanifolds satisfying specific differential conditions and introduction of a flow method.
result Derivation of Simons' type integral inequalities and flow methods for Lagrangian submanifolds.

We prove constrained trace, matrix and constrained matrix Harnack inequalities for the nonlinear heat equation ωt=Δω+aωlnωω_t=Δω+aω\ln ω on closed manifolds. We also derive a new interpolated Harnack inequality for the equation ωt=Δωωlnω+εRωω_t=Δω-ω\lnω+\varepsilon Rω on closed surfaces under the ε\varepsilon-Ricci flow. Finally we prove…

2018-03-28abs ↗pdf ↗

Let MM be a closed Riemannian manifold with a family of Riemannian metrics gij(t)g_{ij}(t) evolving by a geometric flow tgij=2Sij\partial_{t}g_{ij} = -2{S}_{ij}, where Sij(t)S_{ij}(t) is a family of smooth symmetric two-tensors. We derive several differential Harnack estimates for positive solutions to the nonlinear backward heat-ty…

2014-02-18abs ↗pdf ↗

New linear flows using exponential of linear transformations improve generative models.

problem Improving generative models in machine learning.
method Developed convolution exponentials and generalized Sylvester Flows using the exponential of linear transformations.
result Convolution exponentials and Convolutional Sylvester Flows outperform other models in log-likelihood.

Paper presents a new method to detect process differences at the trace level using mutual fingerprints.

problem Low-level granularity in process variant analysis leads to many false differences.
method Develops a mutual fingerprint technique to encode entire process traces for comparison.
result Mutual fingerprint method reveals significant differences not detected by existing techniques.

Let MM be a closed Riemannian manifold with a family of Riemannian metrics gij(t)g_{ij}(t) evolving by geometric flow tgij=2Sij\partial_{t}g_{ij} = -2{S}_{ij}, where Sij(t)S_{ij}(t) is a family of smooth symmetric two-tensors on MM. In this paper we derive differential Harnack estimates for positive solutions to the nonlinear heat …

2014-02-18abs ↗pdf ↗