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In this paper we prove the global second derivative estimates for the second boundary value problem of the prescribed affine mean curvature equation where the affine mean curvature is only assumed to be in $L^{p}$. Our result extends…

Analysis of PDEs · Mathematics 2012-06-01 Nam Q. Le

We present in this note a lower bound for the Calabi functional in a given K\"ahler class. This yields an integral inequality for constant scalar curvature metrics, which can be viewed as a refined version of Yau's Chern number inequality.

Differential Geometry · Mathematics 2018-10-18 Ping Li

We prove qualitative estimates on the total curvature of closed minimal hypersurfaces in closed Riemannian manifolds in terms of their index and area, restricting to the case where the hypersurface has dimension less than seven. In…

Differential Geometry · Mathematics 2021-10-14 Reto Buzano , Ben Sharp

We prove a curvature-dimension criterion and obtain logarithmic Sobolev inequalities for generalised Cauchy measures with optimal weights and explicit constants. In the one-dimensional case, this constant is even optimal. From these…

Functional Analysis · Mathematics 2026-04-06 Baptiste Nicolas Huguet

We consider the problem of finding the infimum, over probability measures being in a ball defined by Wasserstein distance, of the expected value of a bounded Lipschitz random variable on $\mathbf{R}^d$. We show that if the $\sigma-$algebra…

Probability · Mathematics 2019-12-30 Gusti van Zyl

In this paper, we use the maximum principle to get the gradient estimate for the solutions of the prescribed mean curvature equation with Neumann boundary value problem, which gives a positive answer for the question raised by Lieberman…

Analysis of PDEs · Mathematics 2016-06-23 Xi-Nan Ma , Jinju Xu

In this paper, we investigate the prescribed scalar curvature problem on a non-compact Riemannian manifold $(M, \langle \, , \, \rangle)$, namely the existence of a conformal deformation of the metric $\langle \, , \, \rangle$ realizing a…

Differential Geometry · Mathematics 2024-10-15 Bruno Bianchini , Luciano Mari , Marco Rigoli

We prove an inequality for the curvature of level sets of minimal graphs having vanishing boundary values and show that if the boundary is concave, then all the level sets are concave.

Differential Geometry · Mathematics 2021-02-26 Allen Weitsman

We obtain a graded character formula for certain graded modules for the current algebra over a simple Lie algebra of type E6. For certain values of their highest weight, these modules were conjectured to be isomorphic to the classical limit…

Representation Theory · Mathematics 2012-01-04 Adriano Moura , Fernanda Pereira

In the homogeneous manifold $\mathbb{E}(-1,\tau),$ for $-\tfrac{1}{2}<H<\tfrac{1}{2},$ {we define a new product compactification in which the slices $\left\{t=c\right\}_{c\in\R}$ are rotational $H$-surfaces. This product compatification is…

Differential Geometry · Mathematics 2025-11-03 Andrea Del Prete

We generalise a theorem of Engman and Abreu--Freitas on the first invariant eigenvalue of non-negatively curved $S^{1}$-invariant metrics on $\mathbb{CP}^{1}$ to general toric K\"ahler metrics with non-negative scalar curvature. In…

Differential Geometry · Mathematics 2015-05-06 Stuart James Hall , Thomas Murphy

In this paper we investigate a class of $2$-Hessian equations and establish a minimum principle for a $P$-function in the sense of L.E. Payne (see R. Sperb \cite{Sp81}). The analysis is based on a sharp matrix inequality providing an…

Analysis of PDEs · Mathematics 2026-03-23 Cristian Enache

In this paper, we study the Dirichlet problem for a class of prescribed curvature equations in Minkowski space. We prove the existence of smooth spacelike hypersurfaces with a class of prescribed curvature and general boundary data based on…

Analysis of PDEs · Mathematics 2024-09-06 Mengru Guo , Heming Jiao

Many recent problems in signal processing and machine learning such as compressed sensing, image restoration, matrix/tensor recovery, and non-negative matrix factorization can be cast as constrained optimization. Projected gradient descent…

Optimization and Control · Mathematics 2022-09-07 Trung Vu , Raviv Raich

Consider the generalized linear least squares (GLS) problem $\min\|Lx\|_2 \ \mathrm{s.t.} \ \|M(Ax-b)\|_2=\min$. The weighted pseudoinverse $A_{ML}^{\dag}$ is the matrix that maps $b$ to the minimum 2-norm solution of this GLS problem. By…

Numerical Analysis · Mathematics 2024-08-20 Haibo Li

To study the problem of the assigned Gauss curvature with conical singularities on Riemanian manifolds, we consider the Liouville equation with a single Dirac measure on the two-dimensional sphere. By a stereographic projection, we reduce…

Analysis of PDEs · Mathematics 2009-12-07 Jean Dolbeault , Maria J. Esteban , Gabriella Tarantello

On a $2m$-dimensional closed manifold we investigate the existence of prescribed $Q$-curvature metrics with conical singularities. We present here a general existence and multiplicity result in the supercritical regime. To this end, we…

Analysis of PDEs · Mathematics 2025-01-15 Aleks Jevnikar , Yannick Sire , Wen Yang

By using a coupling method, an explicit log-Harnack inequality with local geometry quantities is established for (sub-Markovian) diffusion semigroups on a Riemannian manifold (possibly with boundary). This inequality as well as the…

Differential Geometry · Mathematics 2012-09-28 Marc Arnaudon , Anton Thalmaier , Feng-Yu Wang

Projected kernel calibration is a newly proposed frequentist calibration method, which is asymptotic normal and semi-parametric. Its loss function is usually referred to as the PK loss function. In this work, we prove the uniform…

Methodology · Statistics 2022-08-10 Yan Wang

For some estimations and predictions, we solve minimization problems with asymmetric loss functions. Usually, we estimate the coefficient of regression for these problems. In this paper, we do not make such the estimation, but rather give a…

Statistics Theory · Mathematics 2023-03-03 Naoya Yamaguchi , Yuka Yamaguchi , Ryuei Nishii