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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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12243547 · May 202619922001200920172026
48 results for strict concavity

We propose a novel and flexible rank-breaking-then-composite-marginal-likelihood (RBCML) framework for learning random utility models (RUMs), which include the Plackett-Luce model. We characterize conditions for the objective function of RBCML to be strictly log-concave by proving that strict log-concavity is preserved…

2018-06-04abs ↗pdf ↗

Improves SGM convergence bounds in W2-distance without strict assumptions.

problem Convergence bounds for SGMs in W2-distance require stringent assumptions.
method Novel framework using the OU process and PDE analysis.
result Log-concavity evolves from weak to strong over time.

Gradient Descent Ascent converges to von-Neumann solution in hidden zero-sum games.

problem Understanding dynamics of zero-sum games with hidden structure.
method Gradient Descent Ascent applied to hidden zero-sum games with specific convex-concave structure.
result Gradient Descent Ascent converges to von-Neumann solution in strictly convex-concave hidden games.

Refines d'Alembertian for signed Lorentz distance functions in metric measure spacetimes.

problem Exact representation and bounds of d'Alembertian for signed Lorentz distance functions.
method Metric geometry techniques, localization, Sobolev calculus.
result Distributional d'Alembertian is a signed measure with integration by parts formula.

Gradient descent-ascent converges to strict local minmax equilibria with a finite timescale separation.

problem Analyzing the convergence of gradient descent-ascent in non-convex, non-concave games with a finite timescale separation.
method Investigates the role of a finite timescale separation parameter τ on gradient descent-ascent in two-player zero-sum games, providing convergence rates and non-convergence results.
result Gradient descent-ascent converges to strict local minmax equilibria for a finite timescale separation parameter τ*.

The choice of admissible trading strategies in mathematical modelling of financial markets is a delicate issue, going back to Harrison and Kreps (1979). In the context of optimal portfolio selection with expected utility preferences this question has been a focus of considerable attention over the last twenty years. We…

2009-10-20abs ↗pdf ↗

We study homologically maximizing timelike geodesics in conformally flat tori. A causal geodesic γγ in such a torus is said to be homologically maximizing if one (hence every) lift of γγ to the universal cover is arclength maximizing. First we prove a compactness result for homologically maximizing timelike geodesics…

2010-03-11abs ↗pdf ↗

For φφ a metric on the anticanonical bundle, KX-K_X, of a Fano manifold XX we consider the volume of XX Xeφ. \int_X e^{-φ}. We prove that the logarithm of the volume is concave along bounded geodesics in the space of positively curved metrics on KX-K_X and that the concavity is strict unless the geodesic comes from…

2013-03-20abs ↗pdf ↗

We treat utility maximization from terminal wealth for an agent with utility function U:RRU:\mathbb{R}\to\mathbb{R} who dynamically invests in a continuous-time financial market and receives a possibly unbounded random endowment. We prove the existence of an optimal investment without introducing the associated dual prob…

2017-02-03abs ↗pdf ↗

New method accelerates convergence for entropy-regularized reinforcement learning problems.

problem Slow convergence of standard first-order methods for entropy-regularized Markov decision processes.
method Introduce a quadratically convexified primal-dual formulation and a new interpolating metric to accelerate convergence.
result Global convergence and exponential convergence rate for the new method.

We consider the problem of minimizing the relative perimeter under a volume constraint in an unbounded convex body CRn+1C\subset \mathbb{R}^{n+1}, without assuming any further regularity on the boundary of CC. Motivated by an example of an unbounded convex body with null isoperimetric profile, we introduce the concept of…

2016-06-13abs ↗pdf ↗

We study strict local martingales via h-transforms, a method which first appeared in Delbaen-Schachermayer. We show that strict local martingales arise whenever there is a consistent family of change of measures where the two measures are not equivalent to one another. Several old and new strict local martingales are i…

2007-11-07abs ↗pdf ↗

Study improves sampling from non-log-concave distributions using Fisher information.

problem Sampling from non-log-concave distributions with high Fisher information guarantees.
method Proximal sampler with RGO implementation, leveraging log-concave sampling results.
result Improved complexity guarantee in relative Fisher information for non-log-concave sampling.

Established concavity principle for curved spaces.

problem Solving equations on curved spaces with nonnegative curvature.
method Applied concavity principle to elliptic and parabolic equations on locally symmetric spaces with nonnegative curvature.
result First general concavity principle on spaces with non-constant sectional curvature.

Establishes log-concavity estimates for convex domains' first Dirichlet eigenfunctions.

problem Quantifying the Hessian of log-concave eigenfunctions on convex domains.
method Analyzes log-concavity properties of the first Dirichlet eigenfunction on convex domains.
result Obtains quantitative estimates for the Hessian of logu\log u.

Study complex hyperbolic lattices and their relation to strict hyperbolization.

problem Understanding the relationship between complex hyperbolic lattices and strict hyperbolization.
method Analyzing the fundamental groups of complex hyperbolic manifolds and spaces arising from strict hyperbolization.
result Uniform lattices in PU(n,1) cannot be fundamental groups of Charney-Davis strict hyperbolizations when n ≥ 2.

New saddle network architectures preserve convex-concave geometry in optimization problems.

problem Optimization models with convex x and concave y components.
method Structured separable decomposition and saddle network architectures.
result Proven one-dimensional approximation theorem and high accuracy on various test functions.

We present a simple connection between differential Harnack inequalities for hypersurface flows and natural concavity properties of their time-of-arrival functions. We prove these concavity properties directly for a large class of flows by applying a concavity maximum principle argument to the corresponding level set f…

2019-12-13abs ↗pdf ↗

We define a class of L-convex-concave subsets of RPn\Bbb{R}P^n, where L is a projective subspace of dimension l in RPn\Bbb{R}P^n. These are sets whose sections by any (l+1)-dimensional space L' containing L are convex and concavely depend on L'. We introduce an L-duality for these sets, and prove that the L-dual to an L-…

2002-03-19abs ↗pdf ↗

Geodesic concavity and hypersymplectic structures in G2G2-structures space.

problem Analyzing the geodesic concavity and hypersymplectic structures in the space of closed G2G2-structures.
method Utilising the geodesic constructed in the previous article, we show geodesic concavity and decrease in length of G2G2 Laplacian flow.
result Hitchin's volume functional is geodesically concave and the G2G2 Laplacian flow decreases the length.

In this article, we study the relationship between the weak limit of a sequence of integral currents in a metric space and the possible Hausdorff limit of the sequence of supports. Due to cancellation, the weak limit is in general supported in a strict subset of the Hausdorff limit. We exhibit sufficient conditions in …

2009-02-17abs ↗pdf ↗

This study examines how earnings announcements affect option volatility and pricing.

problem The impact of earnings announcements on option volatility and pricing.
method Analysis of extremely short-term options data to study bimodality and concavity in IV curves.
result Investors pay a premium to hedge against extreme volatility during earnings announcements in the presence of concave IV smiles.

The study proves non-existence of concave functions on specific metric spaces.

problem Proving the non-existence of concave functions on certain metric spaces.
method Analogue theorems for Alexandrov spaces and CαC^α-Hölder Riemannian manifolds.
result Proves non-existence of concave functions on complete manifolds with finite volume and specific metric spaces.

We introduce a geometrically transparent strict saddle property for nonsmooth functions. This property guarantees that simple proximal algorithms on weakly convex problems converge only to local minimizers, when randomly initialized. We argue that the strict saddle property may be a realistic assumption in applications…

2019-12-16abs ↗pdf ↗