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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.

169,181 papers · 148 categories

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48 results for logarithmic fields

The study of logarithmic fields associated with nilmanifolds and their singularities.

problem Understanding logarithmic fields associated with nilmanifolds and their singularities.
method Building a module of an affine Kac Moody vertex algebra and associating logarithmic fields to it.
result Fields associated with specific nilmanifolds have tri-logarithm singularities.

Constructs a Hodge filtration for vector fields of complex reflection groups.

problem Understanding vector fields with logarithmic poles in complex reflection groups.
method Explicit construction using a flat connection on primitive vector fields.
result Yields a Hodge filtration for the module of vector fields.

The paper finds that circles and logarithmic spirals are the only constant-speed ramps for a specific force field.

problem Determining planar curves for constant-speed motion under specific force conditions.
method Analyzing the motion of a particle under friction and a central force field.
result Every solution to the constant-speed motion problem approaches either a circle or a logarithmic spiral.

The paper analyzes competition among fund managers using excess logarithmic returns and constructs games to find optimal allocations.

problem Optimal allocation strategies among fund managers considering excess logarithmic returns.
method Constructs both nn-player and mean field games to address the competition problem.
result The MFE of the MFG represents the limit of nn-player game's equilibrium as nn approaches infinity.

In this work, we give a formula for the logarithmic invariant of knots in terms of certain derivatives of the colored Jones invariant. This invariant is related to the logarithmic conformal field theory, and was defined by using the centers in the radical of the restricted quantum group at root of unity. A relation bet…

2014-06-05abs ↗pdf ↗

Study Higgs bundles on curves with punctures, extending spectral correspondence.

problem Classify Higgs bundles on punctured curves with logarithmic structures.
method Logarithmic Hecke compactification, spectral conditions, and sheaf classification.
result Logarithmic spectral correspondence extended to punctured curves.

The paper constructs a Saito basis for a specific class of divisors and applies it to logarithmic Poisson geometry.

problem Investigating a class of non-quasi-homogeneous free divisors and their logarithmic vector fields.
method Explicitly constructing a Saito basis for the module of logarithmic vector fields and applying it to logarithmic Poisson geometry.
result The construction of the Saito basis and the Lie-Rinehart algebra structure on the sheaf of logarithmic 1-forms.

The paper provides estimates for flows on Riemannian manifolds using truncated expansions.

problem Quantifying the relationship between flows on Riemannian manifolds and their truncated logarithms.
method Using truncated versions of the Magnus and Baker-Cambel-Hausdorff-Dynkin expansions.
result Quantitative estimates between flows and their truncated logarithms.

Logarithmic connections on principal bundles over normal varieties are studied.

problem Existence and properties of logarithmic connections on principal bundles over normal varieties.
method Introducing logarithmic connections, showing equivalence to covariant derivatives, and proving existence conditions.
result Existence of logarithmic connections on principal bundles over normal varieties is equivalent to certain conditions on the associated vector bundles and adjoint bundles.

The paper analyzes Q-learning in 2-player Markov games and provides gap-dependent logarithmic regret bounds.

problem Analyzing the cumulative regret of Nash Q-learning in 2-player turn-based stochastic Markov games.
method Proposed gap-dependent logarithmic upper bounds for cumulative regret in episodic tabular setting and discounted game setting.
result The proposed bounds match theoretical lower bounds up to a logarithmic term.

This work shows linear convergence for two-layer neural networks in mean-field regime.

problem Optimizing two-layer neural networks in the mean-field regime.
method Mean-field analysis and continuous-time noisy gradient descent.
result Establishes linear convergence rate for two-layer neural networks.

Improved particle approximation for mean-field neural networks.

problem Particle approximation error for mean-field neural networks.
method Improved particle approximation error by leveraging the problem structure in risk minimization.
result Established an LSI-constant-free particle approximation error concerning the objective gap.

We shall introduce the notion of CC^\infty logarithmic symplectic structures on a differentiable manifold which is an analog of the one of logarithmic symplectic structures in the holomorphic category. We show that the generalized complex structure induced by a CC^\infty logarithmic symplectic structure has unobstruc…

2015-01-14abs ↗pdf ↗

Near-logarithmic regret per switch achieved for mixable/exp-concave losses.

problem Online optimization of mixable loss functions with dynamic environments.
method Online mixture framework using static solvers and hyper-expert creations.
result Near-logarithmic regret per switch with sub-polynomial complexity.

Study on Willmore spheres, calculating their index and relating it to minimal surfaces.

problem Calculating the index of Willmore spheres and understanding its relation to minimal surfaces.
method Analyzing inverted complete minimal surfaces with embedded planar ends, computing Morse Index, and relating it to Jacobi fields.
result Computed the index of a Willmore sphere as \(m-d\), where \(m\) is the number of ends and \(d\) is the dimension of normals at the \(m\)-fold point.

Random Gaussian fields on 4D Riemannian manifolds with conformal invariance.

problem Characterizing and analyzing Gaussian fields on 4D Riemannian manifolds.
method Constructing and analyzing co-biharmonic Gaussian fields with covariance kernels defined by the Paneitz operator.
result Rigorous derivation of quantum Liouville measure for γ<8|γ|<\sqrt8.

Proves a Baum--Bott formula for foliations by curves with logarithmic terms.

problem Analyzing singularities and smoothness in foliations by curves.
method Logarithmic Baum--Bott residues for foliated triples (X,F,D)(X, \mathcal{F}, D), relating to Poincaré's Problem and GSV indices.
result Logarithmic Baum--Bott residues generalize Aleksandrov logarithmic index for vector fields on hypersurfaces.

Paper optimizes approximating high-dimensional diffusions by independent coordinates.

problem Optimizing approximations of high-dimensional diffusions by independent coordinates.
method Introduces independent projection as optimal for two criteria.
result Independent projection is optimal for two criteria related to entropy and convergence.

Uniform-in-time analysis for Stein Variational Gradient Descent across various metrics.

problem Understanding long-term behavior of finite-particle systems in relation to their mean-field limits.
method Developed uniform-in-time propagation-of-chaos results for continuous-time SVGD using cutoff strategies and finite-dimensional theories.
result Uniform-in-time propagation-of-chaos bounds in various metrics, including Langevin kernel Stein discrepancy, Wasserstein-1, and Wasserstein-2 distances.

We study the convergence of the Kähler-Ricci flow on a Fano manifold under some stability conditions. More precisely we assume that the first eingenvalue of the ˉ\bar\partial-operator acting on vector fields is uniformly bounded along the flow, and in addition the Mabuchi energy decays at most logarithmically. We then…

2009-04-22abs ↗pdf ↗

Constructs curves in log-symplectic manifolds, classifying and obstructing certain structures.

problem Classifying and understanding curves in log-symplectic manifolds.
method Constructs moduli spaces of curves, uses symplectic field theory.
result Classifies symplectically ruled log-symplectic 4-manifolds, obstructs contact boundary components.

In the spirit of the emergent field of econophysics, a goodness-of-fit test for the Power-Law distribution, based on the Empirical Distribution Function (EDF) is presented, and related problems are discussed. An analysis of the tail behaviour of the daily logarithmic variation of the Mexican Stock Market Index (IPC), s…

2003-03-27abs ↗pdf ↗

The study finds infinitely many semi-arithmetic Riemann surfaces with dense systoles and distinct invariant trace fields.

problem Existence and properties of semi-arithmetic Riemann surfaces.
method Combining number theory and hyperbolic geometry to prove existence and properties of semi-arithmetic Riemann surfaces.
result Existence of infinitely many semi-arithmetic Riemann surfaces with dense systoles and distinct invariant trace fields.

New uncertainty principle for Schrödinger equations on hyperbolic manifolds.

problem Uncertainty principle for Schrödinger equations on hyperbolic manifolds.
method General strategy of Escauriaza-Kenig-Ponce-Vega, new Carleman estimates, logarithmic convexity, new mollifier and weight function.
result Similar rigidity phenomenon as in Euclidean space persists in hyperbolic geometry.

Paper studies convergence of Mean-Field GDA dynamics for MNE of continuous games.

problem Finding mixed Nash equilibria in continuous games.
method Two-scale Mean-Field Gradient Descent Ascent dynamics.
result Two-scale Mean-Field GDA converges exponentially to MNE without convexity assumptions.

The study finds infinite commensurability classes of hyperbolic manifolds with Salem number lengths.

problem Understanding commensurability classes of arithmetic hyperbolic manifolds.
method Analyzing Salem numbers and their relation to arithmetic hyperbolic manifolds.
result Infinitely many commensurability classes of arithmetic hyperbolic manifolds with geodesic lengths equal to logarithms of Salem numbers.

Optimizes variational inference for dynamic network models.

problem Estimating pairwise inner products and intercepts in dynamic latent space models.
method Structured mean-field variational inference with block coordinate ascent algorithm.
result Variational risk attains minimax optimal rate with logarithmic factor under certain conditions.

Sharp bounds on heat kernel derivatives on incomplete manifolds.

problem Extending bounds on heat kernel derivatives to incomplete Riemannian manifolds.
method Analyzing heat kernels on incomplete Riemannian manifolds with conservative and non-conservative vector fields.
result Sharp bounds on all orders of heat kernel derivatives are established for incomplete manifolds.

Let G be a finite group of complex n by n unitary matrices generated by reflections acting on C^n. Let R be the ring of invariant polynomials, and χbe a multiplicative character of G. Let Ω^χbe the R-module of χ-invariant differential forms. We define a multiplication in Ω^χand show that under this multiplication Ω^χha…

1998-11-09abs ↗pdf ↗

Our main result is that for all sufficiently large x0>0x_0>0, the set of commensurability classes of arithmetic hyperbolic 2- or 3-orbifolds with fixed invariant trace field kk and systole bounded below by x0x_0 has density one within the set of all commensurability classes of arithmetic hyperbolic 2- or 3-orbifolds wit…

2015-04-20abs ↗pdf ↗

New method solves ˉ\bar{\partial}-equations for logarithmic forms on Kahler manifolds.

problem Solving ˉ\bar{\partial}-equations for logarithmic forms on Kahler manifolds.
method Using harmonic integral theory for currents on Kahler manifolds.
result Constructs the extension for logarithmic (n,q)(n,q)-forms on the central fiber.

Study shows polynomial-width neural networks can closely approximate infinite-width networks in polynomial time.

problem Approximating dynamics of polynomial-width neural networks with infinite-width networks.
method Bounding approximation gap through a differential equation governed by mean-field dynamics, considering local Hessian.
result Polynomially many neurons are sufficient to closely approximate mean-field dynamics.

Privacy constraints affect learning Markov Random Fields differently.

problem Learning Markov Random Fields under differential privacy constraints.
method Algorithms for structure and parameter learning under pure, concentrated, and approximate differential privacy.
result Privacy constraints impose a strong separation between structure and parameter learning in high-dimensional data.

We study Bogomolny equations on R2×S1R^2\times S^1. Although they do not admit nontrivial finite-energy solutions, we show that there are interesting infinite-energy solutions with Higgs field growing logarithmically at infinity. We call these solutions periodic monopoles. Using Nahm transform, we show that periodic monop…

2000-06-07abs ↗pdf ↗

Study excess logarithmic residues for foliations to bound invariant hypersurfaces and test log canonicity.

problem Bounding invariant hypersurfaces and testing log canonicity of singularities.
method Introduce excess logarithmic residues, prove residue formula, derive Poincaré-type bound, and use them to recover log discrepancies.
result Componentwise logarithmic residues of a lifted foliation along the exceptional divisor recover log discrepancies of singularities.

Study real logarithms of semi-simple matrices, focusing on differential structure.

problem Understanding the differential structure of real logarithms of semi-simple matrices.
method Examines the differential structure of real logarithms of semi-simple matrices under specific matrix types.
result Characterizes the differential structure of real logarithms of semi-simple matrices.

Introduces logarithmic Cartan geometry on complex manifolds with singularities.

problem Holomorphic Cartan geometry with singularities.
method Definition and study of logarithmic Cartan geometry on complex manifolds with polar part supported on a normal crossing divisor.
result Push-forward of a Cartan geometry constructed using a finite Galois ramified covering is a logarithmic Cartan geometry.

We introduce linear holonomy on Poisson manifolds. The linear holonomy of a Poisson structure generalizes the linearized holonomy on a regular symplectic foliation. However, for singular Poisson structures the linear holonomy is defined for the lifts of tangential path to the cotangent bundle (cotangent paths). The lin…

1998-12-28abs ↗pdf ↗