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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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156312468624 · Jun 202019922001200920172026
48 results for complex Monge-Ampère operator

Continuity of complex Monge-Ampère potentials on Kähler manifolds.

problem Continuity of solutions to complex Monge-Ampère equations on compact Kähler manifolds.
method Extending DiNezza-Lu's approach to big cohomology classes, proving continuity on Zariski open sets.
result Singular Kähler-Einstein metrics have continuous potentials on the ample locus outside of the non-klt part.

We establish a stability result for elliptic and parabolic complex Monge-Amp{è}re equations on compact K{ä}hler manifolds, which applies in particular to the K{ä}hler-Ricci flow. Dedicated to Jean-Pierre Demailly on the occasion of his 60th birthday.

2018-10-04abs ↗pdf ↗

We develop a parabolic pluripotential theory on compact K{ä}hler manifolds, defining and studying weak solutions to degenerate parabolic complex Monge-Amp{è}re equations. We provide a parabolic analogue of the celebrated Bedford-Taylor theory and apply it to the study of the K{ä}hler-Ricci flow on varieties with log te…

2018-10-04abs ↗pdf ↗

We obtain a necessary and sufficient condition of existence of a K{ä}hler-Einstein metric on a G×GG\times G-equivariant Fano compactification of a complex connected reductive group GG in terms of the associated polytope. This condition is not equivalent to the vanishing of the Futaki invariant. The proof relies on the …

2015-10-26abs ↗pdf ↗

N. V. Efimov \cite{Ef1} proved that there is no complete, smooth surface in R3\R^3 with uniformly negative curvature. We extend this to isometric immersions in a 3-manifold with pinched curvature: if M3M^3 has sectional curvature between two constants K2K_2 and K3K_3, then there exists K1<min(K2,0)K_1 < \min(K_2, 0) such that $M…

1999-12-13abs ↗pdf ↗

We propose a numerical method for solving high dimensional fully nonlinear partial differential equations (PDEs). Our algorithm estimates simultaneously by backward time induction the solution and its gradient by multi-layer neural networks, while the Hessian is approximated by automatic differentiation of the gradient…

2019-07-31abs ↗pdf ↗

We come up with infinite-dimensional prequantum line bundles and moment map interpretations of three different sets of equations - the generalised Monge-Amp`ere equation, the almost Hitchin system, and the Calabi-Yang-Mills equations. These are all perturbations of already existing equations. Our construction for the g…

2017-02-03abs ↗pdf ↗

The paper studies mean curvature flow of Lagrangian graphs in pseudo-Euclidean space.

problem Mean curvature flow of Lagrangian graphs in pseudo-Euclidean space.
method Analyzes the parabolic equation and Monge-Ampère type equation, proving smooth solutions and convergence to self-expanding solutions.
result Smooth solutions u(x,t)u(x,t) for specific nonlinear equations and convergence to self-expanding solutions.

The grid integration of intermittent Renewable Energy Sources (RES) causes costs for grid operators due to forecast uncertainty and the resulting production schedule mismatches. These so-called profile service costs are marginal cost components and can be understood as an insurance fee against RES production schedule u…

2014-07-27abs ↗pdf ↗

In this paper, we investigate two hyperbolic flows obtained by adding forcing terms in direction of the position vector to the hyperbolic mean curvature flows in \cite{klw,hdl}. For the first hyperbolic flow, as in \cite{klw}, by using support function, we reduce it to a hyperbolic Monge-Ampeˋ\grave{\rm{e}}re equation …

2012-03-12abs ↗pdf ↗

We study conformal SpinSpin-subgeometry of submanifolds in a semi-Riemannian SpinSpin-manifold, focusing on conformal SpinSpin-manifolds (M,[h])(M,[h]) and their Poincaré-Einstein metrics (X,g+)(X,g_+). Our approach is based on the spectral theory of Dirac operator in the ambient SpinSpin-manifold, and associated spinor valued meromorp…

2014-02-03abs ↗pdf ↗

It is natural to ask: what kinds of matrices satisfy the Restricted Eigenvalue (RE) condition? In this paper, we associate the RE condition (Bickel-Ritov-Tsybakov 09) with the complexity of a subset of the sphere in Rp\R^p, where pp is the dimensionality of the data, and show that a class of random matrices with indep…

2009-12-21abs ↗pdf ↗

Given a complex analytic function f on a Whitney stratified complex analytic variety of complex dimension n, whose real part Re(f) is Morse, we prove the existence of a stratified gradient-like vector field for Re(f) such that the unstable set of a critical point p on a stratum S of complex dimension s has real dimensi…

2009-08-13abs ↗pdf ↗

In this paper we provide a review of asymptotic results of Toeplitz operators and their applications in TQFT. To do this we review the differential geometric construction of the Hitchin connection on a prequantizable compact symplectic manifold. We use asymptotic results relating the Hitchin connec- tion and Toeplitz o…

2011-06-08abs ↗pdf ↗

Study of free particle's geometry and its perturbations using complex projective structures.

problem Understanding the geometry of a free particle and its perturbations.
method Use of complex projective structures and quasiconformal geometry to study perturbations.
result Main results loosely modeled on algebraic transformation theory, foundational for geometric understanding of the exact WKB method.

Let U2(H)U_2({\cal H}) be the Banach-Lie group of unitary operators in the Hilbert space H{\cal H} which are Hilbert-Schmidt perturbations of the identity 1. In this paper we study the geometry of the unitary orbit {upu:uU2(H)},\{upu^*: u\in U_2({\cal H})\}, of an infinite projection pp in H{\cal H}. This orbit coincides with t…

2008-08-19abs ↗pdf ↗

Adaptive ML learns complex time-varying systems without new data.

problem Applying ML to time-varying systems with shifting distributions.
method Mapping high-dimensional inputs to low-dimensional latent space, actively tuning latent space based on feedback.
result Learning correlations and tracking system evolution in real-time without new data.

Paper shows re-solving heuristics have constant regret for price-based revenue management.

problem Optimal pricing policies for revenue management with time constraints.
method Proves re-solving heuristics have O(1)O(1) regret compared to optimal policies.
result Improved regret bound to O(1)O(1) from O(lnT)O(\ln T), complemented by Ω(lnT)Ω(\ln T) gap with fluid model.

Physics-informed neural networks and neural operators speed up solving parametric PDEs by orders of magnitude.

problem Solving PDEs for varying parameters is computationally expensive.
method Physics-informed neural networks and neural operators learn solution mappings across parameter spaces.
result Neural operators achieve computational speedups of 10^3 to 10^5 times faster than traditional methods.

An on-going debate in the energy economics and power market community has raised the question if energy-only power markets are increasingly failing due to growing feed-in shares from subsidized renewable energy sources (RES). The short answer to this is: No, they are not failing. Energy-based power markets are, however…

2013-07-01abs ↗pdf ↗

One-step Bellman alignment improves online RL by reducing task mismatch.

problem Online RL struggles with task similarity defined by rewards or transitions.
method One-step Bellman alignment and re-weighted targeting (RWT) to correct task mismatch.
result Regret bounds show task shift complexity, not target MDP, affects performance.

A monitoring procedure improves machine learning forecasts for digital platforms.

problem Maintaining accurate and stable forecasts for data streams at digital platforms.
method Developed a monitoring procedure to determine when to retrain machine learning algorithms.
result Monitor-based retraining produces accurate forecasts compared to benchmarks.

Study examines the geometry of a group of Fourier-integral operators related to Diff(S^1).

problem Investigating the geometry of a specific group of Fourier-integral operators.
method Defined a right-invariant pseudo-Riemannian metric on the group using renormalized traces of pseudo-differential operators.
result Extended the Hilbert-Schmidt Riemannian metric to the group.

FreDN separates trends and periodicities in non-stationary time series forecasts.

problem Spectral entanglement and computational burden in frequency-domain methods for non-stationary time series.
method FreDN introduces a learnable Frequency Disentangler module to separate trend and periodic components directly in the frequency domain, and uses a ReIm Block to reduce complexity.
result FreDN outperforms state-of-the-art methods by up to 10% on long-term forecasting benchmarks.

Study on colored Jones polynomial of figure-eight knot for complex parameters.

problem Asymptotic behavior of colored Jones polynomial for figure-eight knot.
method Analyzing the asymptotic growth rate of the polynomial for complex parameters with small imaginary part.
result Growth rate of polynomial is related to the Chern-Simons invariant for large real part of the parameter and to the reciprocal of Alexander polynomial for small real part.

Study reduces complexity and uncertainty in human atrial cell models.

problem Uncertainty in parameter estimates from gating kinetics models.
method Approximate Bayesian computation to re-calibrate models, investigate two approaches: more complete datasets and less complex formulations.
result Less complex model with fewer parameters gives better fit and lower uncertainty.

The paper studies a special Grassmannian space and shows it's an orbit of a unitary group.

problem Investigating a specific Grassmannian space of infinite-dimensional subspaces.
method Analyzing the restricted pp-Schatten class Grassmannian and showing it's an affine coadjoint orbit of a unitary group.
result The restricted pp-Schatten class Grassmannian is shown to be an affine coadjoint orbit of an infinite-dimensional restricted unitary group.

Study eigenvalues of Laplace operator on specific 3D manifolds under Ricci flow.

problem Analyze eigenvalues of Laplace operator with potential under backward Ricci flow.
method Use backward Ricci flow on locally homogeneous 3-manifolds, derive bounds and convergence results.
result Eigenvalue λ+(t)λ^{+}(t) approaches zero as flow converges to sub-Riemannian geometry.

SteinGen generates diverse graph samples from a single example.

problem Generating graphs with characteristic structures and diversity from a single example.
method Combines Stein's method and MCMC with Glauber dynamics and re-estimation of the Stein operator.
result High distributional similarity to the original data, combined with high sample diversity.

We propose a new proximal, path-following framework for a class of constrained convex problems. We consider settings where the nonlinear---and possibly non-smooth---objective part is endowed with a proximity operator, and the constraint set is equipped with a self-concordant barrier. Our approach relies on the followin…

2016-03-05abs ↗pdf ↗

First, we review the Dirac operator folklore about basic analytic and geometrical properties of operators of Dirac type on compact manifolds with smooth boundary and on closed partitioned manifolds and show how these properties depend on the construction of a canonical invertible double and are related to the concept o…

2008-03-28abs ↗pdf ↗

For a Dirac operator DgˉD_{\bar{g}} over a spin compact Riemannian manifold with boundary (Xˉ,gˉ)(\bar{X},\bar{g}), we give a natural construction of the Calderón projector and of the associated Bergman projector on the space of harmonic spinors on Xˉ\bar{X}, and we analyze their Schwartz kernels. Our approach is based on th…

2010-09-16abs ↗pdf ↗

Neural Architecture Search (NAS) is an emerging topic in machine learning and computer vision. The fundamental ideology of NAS is using an automatic mechanism to replace manual designs for exploring powerful network architectures. One of the key factors of NAS is to scale-up the search space, e.g., increasing the numbe…

2019-12-31abs ↗pdf ↗