Results 71 to 80 of about 1,150,129 (227)

Toeplitz Operators on the Weighted Bergman Space over the Two-Dimensional Unit Ball

Journal of Function Spaces, 2015
We extend the known results on commutative Banach algebras generated by Toeplitz operators with radial quasi-homogeneous symbols on the two-dimensional unit ball.
Alma García, Nikolai Vasilevski
doaj   +1 more source

Composition operator induced by ?(z) = sz + t for which |s|?1, |t|<1 and |s|+|t|?1

مجلة بغداد للعلوم, 2010
We study in this paper the composition operator that is induced by ?(z) = sz + t. We give a characterization of the adjoint of composiotion operators generated by self-maps of the unit ball of form ?(z) = sz + t for which |s|?1, |t|
Baghdad Science Journal
doaj   +1 more source

Gysin sequences and SU(2)‐symmetries of C∗‐algebras

Transactions of the London Mathematical Society, 2021
Motivated by the study of symmetries of C∗‐algebras, as well as by multivariate operator theory, we introduce the notion of an SU(2)‐equivariant subproduct system of Hilbert spaces. We analyse the resulting Toeplitz and Cuntz–Pimsner algebras and provide
Francesca Arici, Jens Kaad
doaj   +1 more source

m-Isometric block Toeplitz operators [PDF]

Journal of Inequalities and Applications, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Eungil Ko, Jongrak Lee
openaire   +2 more sources

Modeling and Forecasting Stochastic Seasonality: Are Seasonal Autoregressive Integrated Moving Average Models Always the Best Choice?

Journal of Forecasting, Volume 45, Issue 1, Page 316-334, January 2026.
ABSTRACT In this paper, we study models for stochastic seasonality and compare the well‐known SARIMA models to Seasonal Autoregressive Unit Root Moving Average (SARUMA) models. SARUMA models assume that the polynomial of the stationarizing differencing operator has roots on the unit circle at some seasonal frequencies, while SARIMA models impose roots ...
Evangelos E. Ioannidis, Sofia‐Eirini Nikolakakou   +1 more
wiley   +1 more source

Schatten-class truncated Toeplitz operators [PDF]

Proceedings of the American Mathematical Society, 2015
We investigate truncated Toeplitz operators belonging to the Schatten ideals. We completely characterize such operators when they have an analytic symbol or belong to the ideal of Hilbert-Schmidt operators. We also study model spaces generated by Blaschke products associated with thin sequences, model spaces generated by certain types of singular inner
Lopatto, Patrick, Rochberg, Richard
openaire   +2 more sources

Steady‐State Spread Bounds for Graph Diffusion via Laplacian Regularisation in Networked Systems

IET Networks, Volume 15, Issue 1, January/December 2026.
We study how an engineered initial pattern on a fixed network blurs under linear diffusion and provide a steady‐state upper bound on the resulting deviation. The bound cleanly separates an unavoidable floor set by network connectivity and diffusion strength from a design‐controlled term that shrinks when the initial pattern is smoothed with a graph ...
Ardavan Rahimian
wiley   +1 more source

Toeplitz Operators on Abstract Hardy Spaces Built upon Banach Function Spaces

Journal of Function Spaces, 2017
Let X be a Banach function space over the unit circle T and let H[X] be the abstract Hardy space built upon X. If the Riesz projection P is bounded on X and a∈L∞, then the Toeplitz operator Taf=P(af) is bounded on H[X].
Alexei Yu. Karlovich
doaj   +1 more source

Shifted model spaces and their orthogonal decompositions [PDF]

Opuscula Mathematica
We generalize certain well known orthogonal decompositions of model spaces and obtain similar decompositions for the wider class of shifted model spaces, allowing us to establish conditions for near invariance of the latter with respect to certain ...
M. Cristina Câmara, Kamila Kliś-Garlicka, Marek Ptak   +2 more
doaj   +1 more source

Ultra‐Short‐Term Wind Speed Prediction Based on Information Aggregation With Spatial Decoupling in Turbine Cluster Space

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
Core approach: hybrid model combining wake dynamics, spectral clustering and adaptive neighbourhood selection. Methodology: spatial decoupling → representative turbine identification → feature aggregation via memory network. Outcome: enhanced prediction accuracy validated by real‐data comparisons, addressing spatial correlation challenges in wind farms.
Xiaofeng Zhu, Zhenxin Li, Chenghan Hou, Shoukun Zou   +3 more
wiley   +1 more source