Instructions to follow: * Give original work *Support your work with examples and graphs where required * Follow The references: Kreyszig, Rudin and Robert. G. Bartle. Reference Books: C.D. Aliprantis and O. Burkinshaw, Principles of Real Analysis, 3rd Edition, Harcourt Asia, (2000) J. Bak and D.J. Newman, Complex Analysis, 2nd Edition, Springer Indian Reprint, (2009) Bartle and Sherbert, Introductory Real Analysis, 3rd edition, Wiley International, (2001) E. Kreyszig, Introductory Functional Analysis with Applications, Wiley Singapore Edition, (2001). S. Kumaresan, Topology of Metric Spaces, Narusa, (2005). S. Kumaresan, Real Analysis An Outline, Unpublished Course Notes (available at http://atts.org.in/downloads) B.V. Limaye, Functional Analysis, 2nd Edition, New Age International Ltd., (1996). W. Rudin, Real and Complex Analysis, TMH Edition, 1973. Throughout these notes, we let KR or KC. We use the symbol =, for example, f(x)=r2 to say that the function f is defined by setting f(x) = for all in the domain. This is same as writing f(x) def. Can you guess what the symbol a2f(x) means? LIIS RIIS means that RIIS is defined by LIIS. I started with the principle that a first course in functional analysis is meant first as a part of the general culture and second as an important tool for any future analyst. llence the emphasis all through had been to look at concrete spaces of function and linear maps between them. This has two advantages: (1) the students get to see the typical applications of the results of functional analysis to other parts of analysis and (2) while dealing with such Spectral Theorem for Self-Adjoint Operators on Hilbert Spaces Let H be a separable Hilbert space, and let T: HH be a bounded self-adjoint linear operator. State and prove the Spectral Theorem for bounded self-adjoint operators on a separable Hilbert space in the context of functional calculus. Then, explicitly construct the spectral measure associated with T and demonstrate how it can be used to diagonalize T. Provide detailed steps in the construction and include examples for the special case where T has a purely discrete spectrum. Unbounded Operators and the Closed Graph Theorem Let T: D(T) CH→H be an unbounded linear operator on a Hilbert space H, where D(T) is the domain of T. Assume that T is densely defined and closed. Prove that if T has a bounded inverse T-1: R(T) → H (where R(T) is the range of T), then I is bounded. Use the Closed Graph Theorem and carefully discuss the implications for unbounded operators in Hilbert spaces.

Instructions to follow: * Give original work Support your work with examples and graphs where required Follow The references: Kreyszig, Rudin and Robert. G. Bartle. Reference Books: C.D. Aliprantis and O. Burkinshaw, Principles of Real Analysis, 3rd Edition, Harcourt Asia, (2000) J. Bak and D.J. Newman, Complex Analysis, 2nd Edition, Springer Indian Reprint, (2009) Bartle and Sherbert, Introductory Real Analysis, 3rd edition, Wiley International, (2001) E. Kreyszig, Introductory Functional Analysis with Applications, Wiley Singapore Edition, (2001). S. Kumaresan, Topology of Metric Spaces, Narusa, (2005). S. Kumaresan, Real Analysis An Outline, Unpublished Course Notes (available at http://atts.org.in/downloads) B.V. Limaye, Functional Analysis, 2nd Edition, New Age International Ltd., (1996). W. Rudin, Real and Complex Analysis, TMH Edition, 1973. Throughout these notes, we let KR or KC. We use the symbol =, for example, f(x)=r2 to say that the function f is defined by setting f(x) = for all in the domain. This is same as writing f(x) def. Can you guess what the symbol a2f(x) means? LIIS RIIS means that RIIS is defined by LIIS. I started with the principle that a first course in functional analysis is meant first as a part of the general culture and second as an important tool for any future analyst. llence the emphasis all through had been to look at concrete spaces of function and linear maps between them. This has two advantages: (1) the students get to see the typical applications of the results of functional analysis to other parts of analysis and (2) while dealing with such Spectral Theorem for Self-Adjoint Operators on Hilbert Spaces Let H be a separable Hilbert space, and let T: HH be a bounded self-adjoint linear operator. State and prove the Spectral Theorem for bounded self-adjoint operators on a separable Hilbert space in the context of functional calculus. Then, explicitly construct the spectral measure associated with T and demonstrate how it can be used to diagonalize T. Provide detailed steps in the construction and include examples for the special case where T has a purely discrete spectrum. Unbounded Operators and the Closed Graph Theorem Let T: D(T) CH→H be an unbounded linear operator on a Hilbert space H, where D(T) is the domain of T. Assume that T is densely defined and closed. Prove that if T has a bounded inverse T-1: R(T) → H (where R(T) is the range of T), then I is bounded. Use the Closed Graph Theorem and carefully discuss the implications for unbounded operators in Hilbert spaces.

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 91E

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