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Related papers: Construction of transmutation operators and hyperb…

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The main content of this book is composed from two doctoral theses: by V.\,V.~Katrakhov (1989) and by S.\,M.~Sitnik (2016). In our work, for the first time in the format of a monograph, we systematically expound the theory of transmutation…

Classical Analysis and ODEs · Mathematics 2018-10-01 V. V. Katrakhov , S. M. Sitnik

Over the $(1,n)$-dimensional real supercircle, we consider the $\mathcal{K}(n)$-modules of linear differential operators, $\frak{D}^n_{\lambda,\mu}$, acting on the superspaces of weighted densities, where $\mathcal{K}(n)$ is the Lie…

Differential Geometry · Mathematics 2014-04-29 Nader Belghith , Mabrouk Ben Ammar , Nizar Ben Fraj

Darboux Transformation, well known in second order differential operator theory, is applied here to the difference equation satisfied by the discrete hypergeometric polynomials(Charlier, Meixner-Krawchuk, Hahn).

Classical Analysis and ODEs · Mathematics 2009-10-31 Gaspard Bangerezako

We announce a systematic way for constructing bispectral algebras of commuting differential operators of any rank N. It enables us to obtain all previously known classes and examples of bispectral operators. Moreover, we give a…

q-alg · Mathematics 2008-02-03 B. Bakalov , E. Horozov , M. Yakimov

Ruelle's transfer operator plays an important role in understanding thermodynamic and probabilistic properties of dynamical systems. In this work, we develop a method of finding eigenfunctions of transfer operators based on comparing Gibbs…

Dynamical Systems · Mathematics 2024-04-12 Aernout C. D. van Enter , Roberto Fernández , Mirmukhsin Makhmudov , Evgeny Verbitskiy

We investigate the commutativity and semi-commutativity of generalized singular integral operators of the form $P_{+} f P_{+} + P_{-} g P_{+} + P_{+} u P_{-} + P_{-} v P_{-}$ on $L^{2}$, where $P_{+}$ denotes the Riesz projection and…

Functional Analysis · Mathematics 2026-03-12 Yuanqi Sang , Liankuo Zhao

The eigenfunctions of the Dirac operator on spheres and real hyperbolic spaces of arbitrary dimension are computed by separating variables in geodesic polar coordinates. These eigenfunctions are used to derive the heat kernel of the…

General Relativity and Quantum Cosmology · Physics 2009-10-28 R. Camporesi , A. Higuchi

We study modular transformation properties of a class of indefinite theta series involved in characters of infinite-dimensional Lie superalgebras. The \textit{level-$\ell$ Appell functions} $K_\ell$ satisfy open quasiperiodicity relations…

Quantum Algebra · Mathematics 2009-11-10 AM Semikhatov , IYu Tipunin , A Taormina

We consider a class of homogeneous partial differential operators on a finite-dimensional vector space and study their associated heat kernels. The heat kernels for this general class of operators are seen to arise naturally as the limiting…

Analysis of PDEs · Mathematics 2016-12-23 Evan Randles , Laurent Saloff-Coste

We start by showing how to approximate unitary and bounded self-adjoint operators by operators in finite dimensional spaces. Using ultraproducts we give a precise meaning for the approximation. In this process we see how the spectral…

Logic · Mathematics 2022-08-16 Åsa Hirvonen , Tapani Hyttinen

In the paper we consider a functional-difference operator $H=U+U^{-1}+V$, where $U$ and $V$ are self-adjoint Weyl operators satisfying $UV=q^{2}VU$ with $q=e^{\pi i\tau}$ and $\tau>0$. The operator $H$ has applications in the conformal…

Spectral Theory · Mathematics 2014-08-05 Ludwig D. Faddeev , Leon A. Takhtajan

Let $\Gamma\subset \mathrm{SU}((2,1),\mathbb{C})$ be a torsion-free cocompact subgroup. Let $\mathbb{B}^{2}$ denote the $2$-dimensional complex ball endowed with the hyperbolic metric $\mu_{\mathrm{hyp}}$, and let…

Complex Variables · Mathematics 2023-12-20 Anilatmaja Aryasomayajula , Dyuti Roy , Debasish Sadhukhan

We suggest a systematic calculational scheme for heat kernels of covariant nonminimal operators in causal theories whose characteristic surfaces are null with respect to a generic metric. The calculational formalism is based on a…

High Energy Physics - Theory · Physics 2025-12-05 Andrei O. Barvinsky , Alexey E. Kalugin , Władysław Wachowski

We construct a version of the complex Heisenberg algebra based on the idea of endless analytic continuation. In particular, we exhibit an integral formula for the product of resurgent operators with algebraic singularities. This algebra…

Mathematical Physics · Physics 2015-01-12 Mauricio Garay , Axel de Goursac , Duco van Straten

Given an quantum dynamical semigroup expressed as an exponential superoperator acting on a space of N-dimensional density operators, eigenvalue methods are presented by which canonical Kraus and Lindblad operator sum representations can be…

Quantum Physics · Physics 2015-06-26 Timothy F. Havel

In this paper we study mapping properties of Toeplitz-like operators on weighted Bergman spaces of bounded strongly pseudconvex domains in $\mathbb{C}^n$. In particular we prove that a Toeplitz operator built using as kernel a weighted…

Complex Variables · Mathematics 2019-05-31 Marco Abate , Samuele Mongodi , Jasmin Raissy

In this paper, we investigate a determinantal point process on the interval $(-s,s)$, associated with the confluent hypergeometric kernel. Let $\mathcal{K}^{(\alpha,\beta)}_s$ denote the trace class integral operator acting on $L^2(-s, s)$…

Probability · Mathematics 2024-05-07 Dan Dai , Luming Yao , Yu Zhai

We give a practical computer algebra implementation of the Covering Lemma for finite transformation semigroups. The lemma states that given a surjective relational morphism $(X,S)\twoheadrightarrow(Y,T)$, we can establish emulation by a…

Group Theory · Mathematics 2024-05-07 Attila Egri-Nagy , Chrystopher L. Nehaniv

Kolmogorov decomposition for a given completely positive definite kernel is a generalization of Paschke's GNS construction for the completely positive map. Using Kolmogorov decomposition, to every quantum dynamical semigroup (QDS) for…

Operator Algebras · Mathematics 2025-01-17 Santanu Dey , Dimple Saini , Harsh Trivedi

We present a novel kernel-based method for learning multivariate stochastic differential equations (SDEs). The method follows a two-step procedure: we first estimate the drift term function, then the (matrix-valued) diffusion function given…

Machine Learning · Statistics 2025-12-22 Michael L. Wells , Kamel Lahouel , Bruno Jedynak