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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.

168,695 papers · 148 categories

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0111 · Oct 200819922001200920172026
9 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 ↗

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.