## Linear Operators: Spectral theory |

### From inside the book

Results 1-3 of 81

Page 888

where o , d are arbitrary

used the notations A - B and A v B for the intersection and union of two

commuting projections A and B . We recall that these operators are defined by

the equations ...

where o , d are arbitrary

**spectral**sets and where is the void set . Here we haveused the notations A - B and A v B for the intersection and union of two

commuting projections A and B . We recall that these operators are defined by

the equations ...

Page 933

79 ) , where the relation of the

other questions are investigated . Halmos [ 9 ] also considers the relation of the

...

79 ) , where the relation of the

**spectra**of A and its minimal normal extension andother questions are investigated . Halmos [ 9 ] also considers the relation of the

**spectra**. The**spectral**sets of von Neumann . If T is a bounded linear operator in a...

Page 1920

4 ( 50 )

countably additive , X . I ( 889 ) self adjoint , X . I ( 892 )

, definition , X . 5 ( 913 )

4 ( 50 )

**Spectral**asymptotics , XIII . 10 . G ( 1614 )**Spectral**measure , X . 1 ( 888 )countably additive , X . I ( 889 ) self adjoint , X . I ( 892 )

**Spectral**multiplicity theory, definition , X . 5 ( 913 )

**Spectral**radius , definition , VII . 3 . 5 ( 567 ) of an ...### What people are saying - Write a review

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### Contents

IX | 859 |

extensive presentation of applications of the spectral theorem | 911 |

Miscellaneous Applications | 937 |

Copyright | |

20 other sections not shown

### Other editions - View all

Linear Operators, Part 1 Nelson Dunford,Jacob T. Schwartz,William G. Bade,Robert G. Bartle Snippet view - 1958 |

### Common terms and phrases

additive adjoint adjoint operator algebra analytic assume B-algebra basis belongs Borel set boundary conditions boundary values bounded called clear closed closure coefficients commutative compact complex Consequently consider constant contains converges Corollary corresponding defined Definition denote dense determined domain eigenvalues element equal equation essential spectrum evident Exercise exists extension fact finite follows formal differential operator formula function function f give given Hence Hilbert space ideal identity independent indices inequality integral interval isometric isomorphism Lemma linear mapping matrix measure multiplicity neighborhood norm normal operator obtained positive preceding present projection proof properties prove range regular representation respectively restriction result satisfies seen sequence shown singular solution spectral square-integrable statement subset subspace sufficiently Suppose symmetric Theorem theory topology transform unique unit vanishes vector zero