Linear Systems, Signal Processing and Hypercomplex Analysis

Chapman University, November 2017

Daniel Alpay, Mihaela B. Vajiac (Herausgeber)

Buch | Hardcover

VIII, 316 Seiten

2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-18483-4 (ISBN)

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This volume includes contributions originating from a conference held at Chapman University during November 14-19, 2017. It presents original research by experts in signal processing, linear systems, operator theory, complex and hypercomplex analysis and related topics.

Multiplicative Stieltjes functions and associated pairs of reproducing kernel Hilbert spaces.- Quasi boundary triples, self-adjoint extensions, and Robin Laplacians on the half-space.- Graph Laplace and Markov operators on a Measure Space.- Conditionally free probability.- Boundary values of Discrete Monogenic Functions over Bounded Domains in R3.- Semicircular Elements Induced by Projections on Separable Hilbert Spaces.- On a Backward Shifting Problem for [ , )-non-negative Definite Sequences of Complex q x q matrices.- Evolution of Nodes and their Application to Completely Integrable PDEs.- Frobenius Determinants and Bessel functions.- Algebraic Residue Calculus Beyond the Complex Setting.

Erscheinungsdatum	11.08.2019
Reihe/Serie	Linear Operators and Linear Systems
Reihe/Serie	Operator Theory: Advances and Applications
Zusatzinfo	VIII, 316 p.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	643 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Analysis
Schlagworte	Complex Analysis • Functional Analysis • hypercomplex • non commutative • Partial differential equations • Stochastic Processes
ISBN-10	3-030-18483-8 / 3030184838
ISBN-13	978-3-030-18483-4 / 9783030184834
Zustand	Neuware