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In this paper we show how the spectral theory based on the notion of $S$-spectrum allows us to study new classes of fractional diffusion and of fractional evolution processes. We prove new results on the quaternionic version of the…

Spectral Theory · Mathematics 2018-03-30 Fabrizio Colombo , Jonathan Gantner

The spectral properties of a class of non-selfadjoint second order elliptic operators with indefinite weight functions on unbounded domains $\Omega$ are investigated. It is shown that under an abstract regularity assumption the nonreal…

Spectral Theory · Mathematics 2015-11-10 Jussi Behrndt

We develop the method of similar operators to study the spectral properties of unbounded perturbed linear operators that can be represented by matrices of various kinds. The class of operators under consideration includes various…

Functional Analysis · Mathematics 2019-08-13 Anatoly G. Baskakov , Ilya A. Krishtal , Natalia B. Uskova

Generalized PT-symmetric operators acting an a Hilbert space $\mathfrak{H}$ are defined and investigated. The case of PT-symmetric extensions of a symmetric operator $S$ is investigated in detail. The possible application of the…

Mathematical Physics · Physics 2015-06-04 Sergio Albeverio , Sergii Kuzhel

We study the gap (= "projection norm" = "graph distance") topology of the space of (not necessarily bounded) self--adjoint Fredholm operators in a separable Hilbert space by the Cayley transform and direct methods. In particular, we show…

Functional Analysis · Mathematics 2007-05-23 Bernhelm Booss-Bavnbek , Matthias Lesch , John Phillips

For a bounded quaternionic operator $T$ on a right quaternionic Hilbert space $\mathcal{H}$ and $\varepsilon >0$, the pseudo $S$-spectrum of $T$ is defined as \begin{align*} \Lambda_{\varepsilon}^{S}(T) := \sigma_S (T) \bigcup \left \{ q…

Functional Analysis · Mathematics 2022-10-11 Kousik Dhara , Santhosh Kumar Pamula

The theory of measurements continuous in time in quantum mechanics (quantum continual measurements) has been formulated by using the notions of instrument and positive operator valued measure, functional integrals, quantum stochastic…

Probability · Mathematics 2007-05-23 Alberto Barchielli , Anna Maria Paganoni

In this paper we investigate the spectral and the scattering theory of Gauss--Bonnet operators acting on perturbed periodic combinatorial graphs. Two types of perturbation are considered: either a multiplication operator by a short-range or…

Spectral Theory · Mathematics 2019-01-14 Daniel Parra

Let $\{A(t)\}_{t \in \mathbb{R}}$ be a path of self-adjoint Fredholm operators in a Hilbert space $\mathcal{H}$, joining endpoints $A_\pm$ as $t \to \pm \infty$. Computing the index of the operator $D_A= (d/d t) + A$ acting in…

Spectral Theory · Mathematics 2015-09-08 Alan Carey , Fritz Gesztesy , Galina Levitina , Fedor Sukochev

As an outgrowth of our investigation of non-regular spaces within the context of quantum gravity and non-commutative geometry, we develop a graph Hilbert space framework on arbitrary (infinite) graphs and use it to study spectral properties…

Mathematical Physics · Physics 2016-09-07 Manfred Requardt

This paper focuses on spectral graph convolutional neural networks (ConvNets), where filters are defined as elementwise multiplication in the frequency domain of a graph. In machine learning settings where the dataset consists of signals…

Machine Learning · Computer Science 2021-06-15 Ron Levie , Wei Huang , Lorenzo Bucci , Michael M. Bronstein , Gitta Kutyniok

Spectral graph theory is a captivating area of graph theory that employs the eigenvalues and eigenvectors of matrices associated with graphs to study them. In this paper, we present a collection of $20$ topics in spectral graph theory,…

Combinatorics · Mathematics 2025-10-16 Lele Liu , Bo Ning

We address data-driven learning of the infinitesimal generator of stochastic diffusion processes, essential for understanding numerical simulations of natural and physical systems. The unbounded nature of the generator poses significant…

Machine Learning · Statistics 2024-05-22 Vladimir R. Kostic , Karim Lounici , Helene Halconruy , Timothee Devergne , Massimiliano Pontil

We consider autocovariance operators of a stationary stochastic process on a Polish space that is embedded into a reproducing kernel Hilbert space. We investigate how empirical estimates of these operators converge along realizations of the…

Probability · Mathematics 2023-08-08 Mattes Mollenhauer , Stefan Klus , Christof Schütte , Péter Koltai

This article proposes a framework for the study of periodic maps $T$ from a (typically finite) set $X$ to itself when the set $X$ is equipped with one or more real- or complex-valued functions. The main idea, inspired by the time-evolution…

Combinatorics · Mathematics 2021-05-26 James Propp

We establish the various properties as well as diverse relations of the ascent and descent spectra for bounded linear operators. We specially focus on the theory of subspectrum. Furthermore, we construct a new concept of convergence for…

Functional Analysis · Mathematics 2018-08-27 Nassim Athmouni , Mondher Damak , Chiraz Jendoubi

We study Sturm-Liouville operators on closed sets of a special structure, which are sometimes referred as time scales and often appear in modelling various real processes. Depending on the set structure, such operators unify both…

Spectral Theory · Mathematics 2021-07-13 S. A. Buterin , M. A. Kuznetsova , V. A. Yurko

We consider a class of Hankel operators $H$ realized in the space $L^2 ({\Bbb R}_{+}) $ as integral operators with kernels $h(t+s)$ where $h(t)=P (\ln t) t ^{-1}$ and $P(X)= X^n+p_{n-1} X^{n-1}+\cdots$ is an arbitrary real polynomial of…

Spectral Theory · Mathematics 2015-11-17 Dmitri Yafaev

Recently the authors solved a long-standing problem and showed that for an arbitrary pair of contractions on Hilbert space with trace class difference has an integrable spectral shift function on the unit circle ${\Bbb T}$ and an analogue…

Functional Analysis · Mathematics 2026-03-27 M. M. Malamud , H. Neidhardt , V. V. Peller

We consider an operator-based latent Markov representation of a stochastic nonlinear dynamical system, where the stochastic evolution of the latent state embedded in a reproducing kernel Hilbert space is described with the corresponding…

Machine Learning · Computer Science 2026-05-08 Naichang Ke , Ryogo Tanaka , Yoshinobu Kawahara