Subsampling is a computationally effective approach to extract information from massive data sets when computing resources are limited. After a subsample is taken from the full data, most available methods
Subleading BMS Charges and The Lorentz Group. (arXiv:2011.06008v1 [hep-th])
The extended BMS group includes supertranslation, dual supertranslation and Lorentz transformations. The generators of these symmetries can be classified according to their parity into “electric” and “magnetic” types. Using a
Extremal Eigenvalues Of The Conformal Laplacian Under Sire-Xu Normalization. (arXiv:2011.06018v1 [math.DG])
Let $(M^n,g)$ be a closed Riemannian manifold of dimension $n\ge 3$. We study the variational properties of the $k$-th eigenvalue functional $\tilde g\in[g] \mapsto \lambda_k(L_{\tilde g})$ under a non-volume normalization
Gelfand-Tsetlin modules: canonicity and calculations. (arXiv:2011.06029v1 [math.RT])
In this paper, we give a more down-to-earth introduction to the connection between Gelfand-Tsetlin modules over $\mathfrak{gl}_n$ and diagrammatic KLRW algebras, and develop some of its consequences. In addition to
Recovery of nonlinear terms for reaction diffusion equations from boundary measurements. (arXiv:2011.06039v1 [math.AP])
We consider the inverse problem of determining a general semilinear term appearing in nonlinear parabolic equations. For this purpose, we derive a new criterion that allows to prove global recovery
Robust multi-stage model-based design of optimal experiments for nonlinear estimation. (arXiv:2011.06042v1 [stat.ME])
We study approaches to robust model-based design of experiments in the context of maximum-likelihood estimation. These approaches provide robustification of model-based methodologies for the design of optimal experiments by accounting
Saturating stable matchings. (arXiv:2011.06046v1 [cs.GT])
A bipartite graph consists of two disjoint vertex sets, where vertices of one set can only be joined with an edge to vertices in the opposite set. Hall’s theorem gives
Optimization under rare chance constraints. (arXiv:2011.06052v1 [math.OC])
Chance constraints provide a principled framework to mitigate the risk of high-impact extreme events by modifying the controllable properties of a system. The low probability and rare occurrence of such
On Weakly Symmetric Pseudo-Riemannian Manifolds. (arXiv:2011.06054v1 [math.DG])
Weakly symmetric space theory is a natural generalization of the theory of Riemannian symmetric spaces. It includes a theory of weakly symmetric Riemannian nilmanifolds. Much of the recent progress there
Tamarkin-Tsygan Calculus and Chiral Poisson Cohomology. (arXiv:2011.06055v1 [math.AG])
We construct and study some vertex theoretic invariants associated to Poisson varieties, specialising in the conformal weight $0$ case to the familiar package of Poisson homology and cohomology. In order
