In four and higher dimensions, we show that any stationary admissible Yang-Mills field can be gauge transformed to a smooth field if the norm of the curvature is sufficiently small. There are three main ingredients. The first is Price's monotonicity formula, which allows us to assert that the curvature is small n…
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The paper proves parabolic gap theorems for Yang-Mills energy.
The paper estimates solutions to a heat inequality on Riemannian manifolds with specific initial data.
The study shows how to regularize weakly harmonic maps using Sobolev norms and Coulomb frames.
Study proves boundedness of operators in variable exponent Morrey spaces.
Study short-time existence of Ricci-DeTurck flow from rough metrics with Morrey-type integrability.
Develops topological concepts for Morrey-Sobolev bundles in high dimensions.
We provide a simpler proof and slight strengthening of Morrey's famous lemma on -conformal mappings. Our result more generally applies to Sobolev maps with values in a complete metric space and we obtain applications to the existence of area minimizing surfaces of higher genus in metric spaces. Unlike Morr…
Generalizes Ricci flow starting from small curvature concentration with a Morrey-type condition.
We prove a Morrey-type theorem for Hamiltonian stationary submanifolds of . Namely, if is a Lagrangian submanifold with weakly harmonic Lagrangian phase then must be smooth. In the process we also discuss a local version of the equation, which is a nonline…
The study establishes bounds for Schrödinger operators on Riemannian manifolds.
Sharp inequalities and eigenvalue problems on Finsler manifolds with nonnegative Ricci curvature.
We study the regularity problem of the nonlinear sigma model with gravitino fields in higher dimensions. After setting up the geometric model, we derive the Euler--Lagrange equations and consider the regularity of weak solutions defined in suitable Sobolev spaces. We show that any weak solution is actually smooth under…
The mean curvature flow is the gradient flow of volume functionals on the space of submanifolds. We prove a fundamental regularity result of the mean curvature flow in this paper: a Lipschitz submanifold with small local Lipschitz norm becomes smooth instantly along the mean curvature flow. This generalizes the regular…
Researchers extend regularity of -harmonic maps into spheres for a new range of .
Smooth Yang-Mills fields proved in supercritical dimensions.
We give new estimates for a critical elliptic system introduced by Rivière-Struwe in \cite{riviere_struwe} (see also the work of Rupflin \cite{rupflin} and Schikorra \cite{schikorra_frames}), which generalises PDE solved by harmonic (and almost harmonic) maps from a Euclidean ball $B_1 \In \R^n$ into Riemannian manifol…
The paper improves energy decay estimates for Dir-stationary Q-valued functions and applies them to Liouville-type theorems and continuity.
For the class of approximate harmonic maps from a closed Riemmanian surface to a compact Riemannian manifold , we show that (i) the so-called energy identity holds for weakly convergent approximate harmonic maps , with tension fields bounded in the Morrey spa…
This note proves sharp affine Gagliardo-Nirenberg inequalities which are stronger than all known sharp Euclidean Gagliardo-Nirenberg inequalities and imply the affine Sobolev inequalities. The logarithmic version of affine Sobolev inequalities is verified. Moreover, An alternative proof of the affine Mo…
Given two Jordan curves in a Riemannian manifold, a minimal surface of annulus type bounded by these curves is described as the harmonic extension of a critical point of some functional (the Dirichlet integral) in a certain space of boundary parametrizations. The -regularity of the minimal surface of annulus t…
We give a new proof of the existence (\cite{HM}, \cite{Ren}) of a Jenkins-Strebel differential on a Riemann surface $\SR$ with prescribed heights of cylinders by considering the harmonic map from $\SR$ to the leaf space of the vertical foliation of , thought of as a Riemannian graph. The novelty of the argument …
We solve the classical problem of Plateau in the setting of proper metric spaces. Precisely, we prove that among all disc-type surfaces with prescribed Jordan boundary in a proper metric space there exists an area minimizing disc which moreover has a quasi-conformal parametrization. If the space supports a local quadra…
The paper proves a decomposition theorem for forms on sub-Riemannian contact manifolds.
The paper develops theory for foliations on manifolds with boundary.
We show the existence of Yang--Mills--Higgs (YMH) fields over a Riemann surface with boundary where a free boundary condition is imposed on the section and a Neumann boundary condition on the connection. In technical terms, we study the convergence and blow-up behavior of a sequence of Sacks-Uhlenbeck type -YMH fiel…
Symmetric hypersurfaces and boundaries in R^n+1 with group actions.
The aim of the present paper is to define a notion of weakly differentiable cochain in the generality of metric measure spaces and to study basic properties of such cochains. Our cochains are (sub-)linear functionals on a subspace of chains, and a suitable notion of chains in metric spaces is given by Ambrosio-Kirchhei…
The paper converts metric bounds to distance function Hölder bounds and proves compactness theorems.
We study the minimization problem for the Yang-Mills energy under fixed boundary connection in supercritical dimension . We define the natural function space A_{G} in which to formulate this problem in analogy to the space of integral currents used for the classical Plateau problem. The space A_{G} can be also…
Introduces a new Hodge theory using vector fields on manifolds.
Abstract compares two norms in holomorphic quadratic differentials.
We introduce a new family of matrix norms, the "local max" norms, generalizing existing methods such as the max norm, the trace norm (nuclear norm), and the weighted or smoothed weighted trace norms, which have been extensively used in the literature as regularizers for matrix reconstruction problems. We show that this…
We introduce twisted Alexander norms of a compact connected orientable 3-manifold with first Betti number bigger than one generalizing norms of McMullen and Turaev. We show that twisted Alexander norms give lower bounds on the Thurston norm of a 3-manifold. Using these we completely determine the Thurston norm of many …
We study a regularizer which is defined as a parameterized infimum of quadratics, and which we call the box-norm. We show that the k-support norm, a regularizer proposed by [Argyriou et al, 2012] for sparse vector prediction problems, belongs to this family, and the box-norm can be generated as a perturbation of the fo…
New L0 norm added to TDA for market analysis.
The -support norm is a regularizer which has been successfully applied to sparse vector prediction problems. We show that it belongs to a general class of norms which can be formulated as a parameterized infimum over quadratics. We further extend the -support norm to matrices, and we observe that it is a special …
CNN layers with large norms are still robust to adversarial attacks.
Study on minimal hypersurfaces in a special normed space.
The paper defines minimal norm tensors for curvature and divergence tensors, explaining Weyl and Cotten tensors.
A result of Bangert states that the stable norm associated to any Riemannian metric on the -torus is strictly convex. We demonstrate that the space of stable norms associated to metrics on forms a proper dense subset of the space of strictly convex norms on . In particular, given a strictly convex …
The spectral -support norm enjoys good estimation properties in low rank matrix learning problems, empirically outperforming the trace norm. Its unit ball is the convex hull of rank matrices with unit Frobenius norm. In this paper we generalize the norm to the spectral -support norm, whose additional para…
The Schatten quasi-norm can be used to bridge the gap between the nuclear norm and rank function, and is the tighter approximation to matrix rank. However, most existing Schatten quasi-norm minimization (SQNM) algorithms, as well as for nuclear norm minimization, are too slow or even impractical for large-scale problem…
Optimization problems with rank constraints appear in many diverse fields such as control, machine learning and image analysis. Since the rank constraint is non-convex, these problems are often approximately solved via convex relaxations. Nuclear norm regularization is the prevailing convexifying technique for dealing …
We provide recovery guarantees for compressible signals that have been corrupted with noise and extend the framework introduced in \cite{bafna2018thwarting} to defend neural networks against -norm, -norm, and -norm attacks. Our results are general as they can be applied to most unitary tr…
The study connects norms and filtrations on section rings of projective manifolds.
Future robots should follow human social norms in order to be useful and accepted in human society. In this paper, we leverage already existing social knowledge in human societies by capturing it in our framework through the notion of social norms. We show how norms can be used to guide a reinforcement learning agent t…
Functorial semi-norms on singular homology give refined "size" information on singular homology classes. A fundamental example is the l^1-semi-norm. We show that there exist finite functorial semi-norms on singular homology that are exotic in the sense that they are not carried by the l^1-semi-norm.