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We will present versions of the Rellich-Kondrachov theorem for pseudo-differential operators acting on localizable Hardy spaces. One of the techniques includes boundedness properties for pseudodifferential operators with symbols in the…

Analysis of PDEs · Mathematics 2018-10-11 G. Hoepfner , R. Kapp , T. Picon

We review a coarse-graining theory for divergence-form elliptic operators. The construction centers on a pair of coarse-grained matrices defined on spatial blocks that encode a scale-dependent notion of ellipticity, transmit precise…

Analysis of PDEs · Mathematics 2025-09-30 Scott Armstrong , Tuomo Kuusi

We investigate the asymptotic properties of the L\'evy Adaptive B-spline (LABS) regression model, a Bayesian nonparametric method that incorporates B-spline kernels into the L\'evy Adaptive Regression Kernel (LARK) model. LABS applies…

Machine Learning · Statistics 2026-05-20 Jeunghun Oh , Sewon Park , Jaeyong Lee

The goal of this short note is to prove that every b-spline curve or surface (generated by uniform knots, without multiplicity) may be defined as minimum of positive quadratic operator.

Numerical Analysis · Mathematics 2016-09-20 Svetoslav I. Nenov

We study surface and line operators in the GL-twisted N=4 gauge theory in four dimensions. Their properties depend on the parameter t which determines the BRST operator of theory. For t=i we propose a complete description of the 2-category…

High Energy Physics - Theory · Physics 2010-02-04 Anton Kapustin , Kevin Setter , Ketan Vyas

We construct a new type of convergent asymptotic representations, dyadic factorial expansions. Their convergence is geometric and the region of convergence can include Stokes rays, and often extends down to 0^+. For special functions such…

Classical Analysis and ODEs · Mathematics 2016-08-16 O. Costin , R. D. Costin

In simulation technology, computationally expensive objective functions are often replaced by cheap surrogates, which can be obtained by interpolation. Full grid interpolation methods suffer from the so-called curse of dimensionality,…

Numerical Analysis · Mathematics 2019-10-15 Julian Valentin

In this paper we consider squares of pseudo-bosonic ladder operators and we use them to produce explicit examples of eigenstates of certain operators satisfying a deformed $\mathfrak{su}(1,1)$ Lie algebra. We show how these eigenstates may,…

Mathematical Physics · Physics 2023-10-16 F Bagarello , F. Gargano , L. Saluto

In the setting of CAT(k) spaces, common fixed point iterations built from prox mappings (e.g. prox-prox, Krasnoselsky-Mann relaxations, nonlinear projected-gradients) converge locally linearly under the assumption of linear metric…

Optimization and Control · Mathematics 2021-12-13 Florian Lauster , D. Russell Luke

For small perturbations of Minkowski space, we show that the square of the Lorentzian Dirac operator $P= -D^2$ has real spectrum apart from possible poles in a horizontal strip. Furthermore, for $\varepsilon>0$ we relate the poles of the…

Analysis of PDEs · Mathematics 2024-12-18 Nguyen Viet Dang , András Vasy , Michał Wrochna

We introduce a linear-scaling stochastic method to compute real-space maps of any positive local spectral operator in a tight-binding model. By employing positive-definite estimators, the sampling error at each site can be rigorously…

Disordered Systems and Neural Networks · Physics 2025-11-18 H. P. Veiga , D. R. Pinheiro , J. P. Santos Pires , J. M. Viana Parente Lopes

We give a new, fully mathematical, construction of the space of local operators in the holomorphic-topological twist of 4d $\mathcal N=2$ gauge theories. It is based on computations of morphism spaces in the DG category of line operators,…

Algebraic Geometry · Mathematics 2022-02-03 Wenjun Niu

Several classes of classical cardinal B-splines can be obtained as solutions of operator equations of the form $Ly = 0$ where $L$ is a linear differential operator of integral order. (Cf., for instance,…

Functional Analysis · Mathematics 2019-02-01 Peter Massopust

We introduce a low-rank framework for adaptive isogeometric analysis with truncated hierarchical B-splines (THB-splines) that targets the main bottleneck of local refinement: memory- and time-intensive matrix assembly once the global…

Numerical Analysis · Mathematics 2025-09-12 Tom-Christian Riemer , Martin Stoll

In this paper, we study the dyadic Carleson Embedding Theorem in the matrix weighted setting. We provide two new proofs of this theorem, which highlight connections between the matrix Carleson Embedding Theorem and both maximal functions…

Classical Analysis and ODEs · Mathematics 2016-02-08 Kelly Bickel , Brett D. Wick

An operator C on a Hilbert space H dilates to an operator T on a Hilbert space K if there is an isometry V from H to K such that C=V^*TV. A main result of this paper is, for a positive integer d, the simultaneous dilation, up to a sharp…

Functional Analysis · Mathematics 2019-06-05 J. William Helton , Igor Klep , Scott A. McCullough , Markus Schweighofer

Motivated by the results of Korry and Kinnunen and Saksman, we study the behaviour of the discrete fractional maximal operator on fractional Hajlasz spaces, Hajlasz-Besov and Hajlasz-Triebel-Lizorkin spaces on metric measure spaces. We show…

Functional Analysis · Mathematics 2013-01-22 Toni Heikkinen , Heli Tuominen

We construct twisted $\mathcal{D}$-modules on the projective line $\mathbb{P}^1$ that are equivariant for the action of the diagonal torus subgroup of $SL_2$. In the most interesting case these arise as extensions from local systems on…

Representation Theory · Mathematics 2015-09-18 Claude Eicher

In this article we prove martingale type pointwise convergence theorems pertaining to tensor product splines defined on $d$-dimensional Euclidean space ($d$ is a positive integer), where conditional expectations are replaced by their…

Probability · Mathematics 2023-12-20 Markus Passenbrunner

This paper shows that dimensionality reduction methods such as UMAP and t-SNE, can be approximately recast as MAP inference methods corresponding to a model introduced in Ravuri et al. (2023), that describes the graph Laplacian (an estimate…

Machine Learning · Statistics 2025-05-13 Aditya Ravuri , Neil D. Lawrence