Автор: Carlo Alabiso; Ittay Weiss Название: A Primer on Hilbert Space Theory ISBN: 3319353519 ISBN-13(EAN): 9783319353517 Издательство: Springer Рейтинг: Цена: 9794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introduction to Hilbert space will equip the reader for more demanding further study. It builds a pedagogic bridge between the rigorous style of mathematics and the more practical perspective of physicists.
Автор: Vasudeva, Harkrishan Lal Название: Elements of hilbert spaces and operator theory ISBN: 9811030197 ISBN-13(EAN): 9789811030192 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Properties of the spectrum of different classes of operators, such as normal operators, self-adjoint operators, unitaries, isometries and compact operators have been discussed.
Описание: Incomplete second order linear differential equations in Banach spaces as well as first order equations have become a classical part of functional analysis. Special emphasis is placed on new surprising effects arising for complete second order equations which do not take place for first order and incomplete second order equations.
Описание: This book offers an essential introduction to the theory of Hilbert space, a fundamental tool for non-relativistic quantum mechanics.
Автор: Harkrishan Lal Vasudeva Название: Elements of Hilbert Spaces and Operator Theory ISBN: 9811097658 ISBN-13(EAN): 9789811097652 Издательство: Springer Рейтинг: Цена: 22359.00 р. Наличие на складе: Поставка под заказ.
Описание: Properties of the spectrum of different classes of operators, such as normal operators, self-adjoint operators, unitaries, isometries and compact operators have been discussed.
Описание: Covering the fundamental underlying theory as well as a range of applications, this unique text provides a unified overview of reproducing kernel Hilbert spaces. It offers an unrivalled and accessible introduction to the field, ideal for graduate students and researchers working in functional analysis or its applications.
Автор: W. Mlak Название: Hilbert Spaces and Operator Theory ISBN: 079231042X ISBN-13(EAN): 9780792310426 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive introduction to modern quantum mechanics, emphasising the underlying Hilbert space theory and generalized function theory. All the major modern techniques and approaches used in quantum mechanics are introduced.
This is an collection of some easily-formulated problems that remain open in the study of the geometry and analysis of Banach spaces. Assuming the reader has a working familiarity with the basic results of Banach space theory, the authors focus on concepts of basic linear geometry, convexity, approximation, optimization, differentiability, renormings, weak compact generating, Schauder bases and biorthogonal systems, fixed points, topology and nonlinear geometry.
The main purpose of this work is to help in convincing young researchers in Functional Analysis that the theory of Banach spaces is a fertile field of research, full of interesting open problems. Inside the Banach space area, the text should help expose young researchers to the depth and breadth of the work that remains, and to provide the perspective necessary to choose a direction for further study.
Some of the problems are longstanding open problems, some are recent, some are more important and some are only local problems. Some would require new ideas, some may be resolved with only a subtle combination of known facts. Regardless of their origin or longevity, each of these problems documents the need for further research in this area.
Описание: Incomplete second order linear differential equations in Banach spaces as well as first order equations have become a part of functional analysis. This monograph presents a unified systematic theory of second order equations y" (t) + Ay` (t) + By (t) = 0 including well-posedness of the Cauchy problem as well as the Dirichlet and Neumann problems.
Описание: This textbook provides an in-depth exploration of statistical learning with reproducing kernels, an active area of research that can shed light on trends associated with deep neural networks.
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