Proves mass-capacity inequalities for critical area-normalized capacitors, improving Schwarzschild metric uniqueness.
arXiv research
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We create a flat end foliation by critical spheres solving a Laplace-Beltrami problem.
In this paper, we settle in the affirmative the Jakobson-Levitin-Nadirashvili-Nigam-Polterovich conjecture, stating that a certain singular metric on the Bolza surface, with area normalized, should maximize the first eigenvalue of the Laplacian.
Second paper applies Morse index to constrained optimization problems.
USeMOC framework reduces expensive simulations for MO optimization with constraints.
The aim of this paper is to give a formulation of the dynamics of nonlinear RLC circuits as a geometric Birkhoffian system and to discuss in this context the concepts of regularity, conservativeness, dissipativeness. An RLC circuit, with no assumptions placed on its topology, will be described by a family of Birkhoffia…
We present a formulation of general nonlinear LC circuits within the framework of Birkhoffian dynamical systems on manifolds. We develop a systematic procedure which allows, under rather mild non-degeneracy conditions, to write the governing equations for the mathematical description of the dynamics of an LC circuit as…
Researchers prove existence of metrics maximizing Laplace eigenvalue on all closed surfaces.
User interfaces provide an interactive window between physical and virtual environments. A new concept in the field of human-computer interaction is a soft user interface; a compliant surface that facilitates touch interaction through deformation. Despite the potential of these interfaces, they currently lack a signal …
In [dLMu05], DeLellis and Müller proved a quantitative version of Codazzi's theorem, namely for a smooth embedded surface with area normalized to , it was shown that , and building on…
This paper presents a spatiotemporal unsupervised feature learning method for cause identification of electromagnetic transient events (EMTE) in power grids. The proposed method is formulated based on the availability of time-synchronized high-frequency measurement, and using the convolutional neural network (CNN) as t…
Recently, Hodgson and Kerckhoff found a small bound on Dehn surgered 3-manifolds from hyperbolic knots not admitting hyperbolic structures using deformations of hyperbolic cone-manifolds. They asked whether the area normalized meridian length squared of maximal tubular neighborhoods of the singular locus of the cone-ma…
In this paper, we are interested in short homologically and homotopically independent loops based at the same point on Riemannian surfaces and metric graphs. First, we show that for every closed Riemannian surface of genus and area normalized to , there are at least $\ceil{\log(2g)+1}$ homotopically indep…
New method maps global value chains at product level from trade data.
Given a Riemannian surface, we consider a naturally embedded graph which captures part of the topology and geometry of the surface. By studying this graph, we obtain results in three different directions. First, we find bounds on the lengths of homologically independent curves on closed Riemannian surfaces. As a conseq…
Paper introduces a meta-critic for accelerating off-policy actor-critic learning.
This paper reverses a construction by merging boundary critical points into an interior one.
The minimal number of critical points is studied for smooth functions on closed manifolds.
The study confirms a conjecture about critical points of smooth functions.
We present the first provably convergent two-timescale off-policy actor-critic algorithm (COF-PAC) with function approximation. Key to COF-PAC is the introduction of a new critic, the emphasis critic, which is trained via Gradient Emphasis Learning (GEM), a novel combination of the key ideas of Gradient Temporal Differ…
Study critical points of Laplace eigenfunctions in polygons.
Smaller actor-critic models lead to performance degradation and overfitting, highlighting the critic's role in value underestimation.
The paper analyzes an actor-critic algorithm with target networks for deep reinforcement learning.
New PAC-Bayesian approach stabilizes actor-critic learning.
Hard to approximate critical points for simple nonconvex functions.
We prove a version of symmetric criticality for ropelength-critical knots. Our theorem implies that a knot or link with a symmetric representative has a ropelength-critical configuration with the same symmetry. We use this to construct new examples of ropelength critical configurations for knots and links which are dif…
The paper studies critical points in overparameterized neural networks, identifying a star locus and degenerate critical points.
WAVE improves stability in reinforcement learning by adaptively weighting critic's loss.
Actor-critic methods solve reinforcement learning problems by updating a parameterized policy known as an actor in a direction that increases an estimate of the expected return known as a critic. However, existing actor-critic methods only use values or gradients of the critic to update the policy parameter. In this pa…
New findings on Chern flat metrics and their criticality.
We establish regularity results for critical points to energies of immersed surfaces depending on the first and the second fundamental form exclusively. These results hold for a large class of intrinsic elliptic Lagrangians which are sub-critical or critical. They are derived using uniform regularity estimates whic…
Critical surfaces are defined by Bachman as topological index 2 surfaces, generalizing incompressible surfaces and strongly irreducible surfaces. In this paper we give a condition to obtain critical Heegaard surfaces by amalgamation. As a special case, we obtain critical Heegaard surfaces by boundary stabilization. It …
Study on CR curves in 3-sphere, focusing on critical curves integration and existence.
Single-timescale actor-critic finds globally optimal policy.
This paper focuses on the problem of topological equivalence of functions with isolated critical points on the boundary of a compact surface which are also isolated critical points of their restrictions to the boundary. This class of functions we denote by . Firstly, we've obtained the topological classificat…
Symmetric critical points lead to symmetry breaking in neural networks.
Study classifies ruled surfaces critical to Dirichlet energy.
Upper bounds found for systole function critical points on surface moduli space.
Study on critical faces convergence in a Poisson point process.
Noninjective monodromy found in polynomial critical point tracking.
New groups found with critical exponents close to but less than max.
We study the problem of off-policy critic evaluation in several variants of value-based off-policy actor-critic algorithms. Off-policy actor-critic algorithms require an off-policy critic evaluation step, to estimate the value of the new policy after every policy gradient update. Despite enormous success of off-policy …
Actor-critic methods can achieve incredible performance on difficult reinforcement learning problems, but they are also prone to instability. This is partly due to the interaction between the actor and critic during learning, e.g., an inaccurate step taken by one of them might adversely affect the other and destabilize…
Paper finds critical metrics with pinched curvature are geodesic balls.
Critical hypersurfaces with boundary have unique shapes and properties.
We give an alternative proof of that a critical knot of a Morse-Bott function is a graph knot where the critical set of is a link in . Our proof inducts on the number of index-1 critical knots of .
In this paper we investigate complete critical metrics of the -norm of the scalar curvature. We prove that any complete critical metric with positive scalar curvature has constant scalar curvature and we characterize critical metrics with nonnegative scalar curvature in dimension three and four.
The paper studies the smoothness of critical points of variational integrals on Hessian spaces.