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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.

168,742 papers · 148 categories

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0111 · Oct 200819922001200920172026
11 results for Gamma-convergence

Study on sphere-valued maps, proving energy convergence and current limits.

problem Understanding the behavior of sphere-valued Sobolev maps as their energy grows.
method Proving Gamma-convergence of pp-energies to the mass of an integral current.
result Jacobian convergence to an area-minimizing current in a cobordism class.

Paper studies central bank's strategy to control systemic risk in interbank system.

problem Minimizing average distance between log-monetary reserves and target levels.
method Weak formulation, Ekeland's variational principle, Gamma-convergence, stochastic Fokker-Planck-Kolmogorov equation.
result Proves convergence of optimal strategies as number of banks increases.

Study proposes a nonlocal approximation of the Willmore functional using fractional Allen-Cahn energies.

problem Approximating the Willmore functional using nonlocal methods.
method Gamma-convergence and fractional Laplacian analysis in Fermi coordinates.
result Proves ΓΓ-limsup estimate for the proposed nonlocal approximation.

The paper proves Γ\Gamma-convergence of discrete tangent-point energies to continuous energies and ropelength, with applications to biarc curves.

problem Proving convergence of discrete tangent-point energies to continuous energies and ropelength.
method Using biarc curves and interpolation, the paper proves Γ\Gamma-convergence of discretized tangent-point energies to the continuous tangent-point energies and ropelength functional.
result Discrete almost minimizing biarc curves converge to ropelength minimizers and minimizers of continuous tangent-point energies.

In this paper we are concerned with the learnability of energies from data obtained by observing time evolutions of their critical points starting at random initial equilibria. As a byproduct of our theoretical framework we introduce the novel concept of mean-field limit of critical point evolutions and of their energy…

2019-11-01abs ↗pdf ↗

Develops BV function and finite perimeter set theory on Riemannian manifolds.

problem Theory of BV functions and finite perimeter sets on arbitrary Riemannian manifolds.
method Localization framework combining Euclidean and metric measure space techniques.
result Recovery of key Euclidean results in Riemannian setting.

Generative AI connects to Schrödinger bridge problems with soft constraints for stability.

problem Stability issues in generative AI due to hard terminal constraints.
method Soft-constrained Schrödinger bridge formulation and convergence analysis.
result Existence and convergence of optimal solutions as penalty grows.