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In two dimensions, the $l$-level Sierpinski gasket $\mathrm{SG}(l)$ is obtained by splitting an equilateral triangle into a collection of $l^2$ equilateral triangles of equal size and with the same total area, retaining only the $l(l+1)/2$…

Probability · Mathematics 2025-09-26 David A. Croydon , Ben Hambly , Takashi Kumagai

Bayesian Optimization (BO) has the potential to solve various combinatorial tasks, ranging from materials science to neural architecture search. However, BO requires specialized kernels to effectively model combinatorial domains. Recent…

Machine Learning · Computer Science 2025-10-31 Colin Doumont , Victor Picheny , Viacheslav Borovitskiy , Henry Moss

The equivalence between the Schr\"odinger and Heisenberg representations is a cornerstone of quantum mechanics. However, this relationship remains unclear in the non-Hermitian regime, particularly when the Hamiltonian is time-dependent. In…

Quantum Physics · Physics 2025-11-18 Chia-Yi Ju , Adam Miranowicz , Jacob Barnett , Guang-Yin Chen , Franco Nori

This paper studies the asymptotic behavior of the integral kernel of the Dunkl transform, the so-called Dunkl kernel, when one of its arguments is fixed and the other tends to infinity either within a Weyl chamber of the associated…

Classical Analysis and ODEs · Mathematics 2023-05-31 Margit Rösler , Marcel de Jeu

In this paper the authors present a proof of a pointwise radial monotonicity property of heat kernels that is shared by the euclidean spaces, spheres and hyperbolic spaces. The main result deals with monotonicity from special points on…

Classical Analysis and ODEs · Mathematics 2019-05-28 Diego Alonso-Orán , Fernando Chamizo , Ángel D. Martínez , Albert Mas

In this paper we study Poisson processes of so-called "fat" cylinders in hyperbolic space. As our main result we show that this model undergoes a percolation phase transition. We prove this by establishing a novel link between the fat…

Probability · Mathematics 2024-12-24 Carina Betken , Erik Broman , Anna Gusakova , Christoph Thäle

We study the heat kernel transform on a nilmanifold $ M $ of the Heisenberg group. We show that the image of $ L^2(M) $ under this transform is a direct sum of weighted Bergman spaces which are related to twisted Bergman and Hermite-Bergman…

Functional Analysis · Mathematics 2008-07-15 B. Kroetz , S. Thangavelu , Y. Xu

In this paper, we derive a Laplace-type integral representations for both the generalized Bessel function and the Dunkl kernel associated with the rank-two root system of type B_2. The derivation of the first one elaborates on the integral…

Classical Analysis and ODEs · Mathematics 2016-11-18 Bechir Amri , Nizar Demni

We show that the small-time asymptotics of the sub-Riemannian heat kernel, its derivatives, and its logarithmic derivatives can be localized, allowing them to be studied even on incomplete manifolds, under essentially optimal conditions on…

Probability · Mathematics 2025-06-16 Robert W. Neel , Ludovic Sacchelli

The worldline formalism has in recent years emerged as a powerful tool for the computation of effective actions and heat kernels. However, implementing nontrivial boundary conditions in this formalism has turned out to be a difficult…

High Energy Physics - Theory · Physics 2008-11-26 Fiorenzo Bastianelli , Olindo Corradini , Pablo A. G. Pisani , Christian Schubert

Given $a,b\ge 0$ and $t>0$, let $\rho =\{ \rho _{s}\} _{0\le s\le t}$ be a three-dimensional Bessel bridge from $a$ to $b$ over $[0,t]$. In this paper, based on a conditional identity in law between Brownian bridges stemming from Pitman's…

Probability · Mathematics 2026-05-27 Yuu Hariya

This paper introduces an end-to-end residual network that operates entirely on the Poincar\'e ball model of hyperbolic space. Hyperbolic learning has recently shown great potential for visual understanding, but is currently only performed…

Computer Vision and Pattern Recognition · Computer Science 2023-12-20 Max van Spengler , Erwin Berkhout , Pascal Mettes

Learning generalizable self-supervised graph representations for downstream tasks is challenging. To this end, Contrastive Learning (CL) has emerged as a leading approach. The embeddings of CL are arranged on a hypersphere where similarity…

Machine Learning · Computer Science 2025-02-25 Yifei Zhang , Hao Zhu , Menglin Yang , Jiahong Liu , Rex Ying , Irwin King , Piotr Koniusz

Quasi-two-dimensional (2D) systems, such as an electron gas confined in a quantum well, are important model systems for many-body theories. Earlier studies of the crossover from 3D to 2D in ground-state density-functional theory showed that…

Mesoscale and Nanoscale Physics · Physics 2015-06-23 Shahrzad Karimi , Carsten A. Ullrich

We study of the relation between the geometry of sets in complex hyperbolic space and Hilbert spaces with complete Pick kernels. We focus on the geometry associated with assembling sets into larger sets and of assembling Hilbert spaces into…

Geometric Topology · Mathematics 2024-03-19 Richard Rochberg

We study branching Brownian motion in hyperbolic space. As hyperbolic Brownian motion is transient, the normalised empirical measure of branching Brownian motion converges to a random measure $\mu_\infty$ on the boundary. We show that the…

Probability · Mathematics 2026-05-28 David Geldbach

We theoretically discuss the non-Hermitian superfluid phase transition in one-dimensional two-component Fermi gases near the $p$-wave Feshbach resonance accompanied by the two-body loss associated with the dipolar relaxation. For the first…

We suggest a new model for the dynamics of a suspension bridge through a system of nonlinear nonlocal hyperbolic differential equations. The equations are of second and fourth order in space and describe the behavior of the main components…

Analysis of PDEs · Mathematics 2015-01-16 Gianni Arioli , Filippo Gazzola

Asymptotic expansions as well as necessary and sufficient conditions are provided for the pointwise convergence of the spherical partial integrals of the associated Fourier transforms on the real hyperbolic space. The proposed method…

Mathematical Physics · Physics 2020-05-25 Agapitos N. Hatzinikitas

Nickel and Kiela (2017) present a new method for embedding tree nodes in the Poincare ball, and suggest that these hyperbolic embeddings are far more effective than Euclidean embeddings at embedding nodes in large, hierarchically structured…

Computation and Language · Computer Science 2021-09-17 Sameer Bansal , Adrian Benton