## Linear Operators: Part III: Spectral Operators [by] Nelson Dunford and Jacob T. Schwartz, with the Assistance of William G. Bade and Robert G. Bartle, Volume 1 |

### From inside the book

Results 1-3 of 78

Page 1914

In sharp contrast with some of the most innocent looking boundary value

convolution kernel giving the solution to the Cauchy initial value

Theorem XV .

In sharp contrast with some of the most innocent looking boundary value

**problems**associated with perturbed operators ... can be most scabrous , theconvolution kernel giving the solution to the Cauchy initial value

**problem**ofTheorem XV .

Page 1927

formulation of the spectral reduction

case T = 1 . Since I commutes with every projection , the above reduction

interesting in ...

formulation of the spectral reduction

**problem**may be seen by considering thecase T = 1 . Since I commutes with every projection , the above reduction

**problem**stated for I would be : find all projections in X . This**problem**, whileinteresting in ...

Page 2059

The basic

the beginning of each “ month ” as the instant when the new crescent moon was

first visible after sunset ; the specific

The basic

**problem**of Babylonian lunar theory was their calendar , which definedthe beginning of each “ month ” as the instant when the new crescent moon was

first visible after sunset ; the specific

**problem**was the determination of which ...### What people are saying - Write a review

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### Contents

SPECTRAL OPERATORS XV Spectral Operators | 1924 |

Introduction | 1925 |

Terminology and Preliminary Notions | 1928 |

Copyright | |

32 other sections not shown

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### Common terms and phrases

analytic apply arbitrary assumed B-space Banach space Boolean algebra Borel sets boundary conditions bounded bounded Borel bounded operator Chapter clear clearly closure commuting compact complex consider constant contained converges Corollary corresponding countably additive defined Definition denote dense determined differential operator domain elements equation equivalent established example exists extension fact finite follows formal formula given gives Hence Hilbert space hypothesis identity inequality integral invariant inverse Lemma limit linear linear operator manifold Math Moreover multiplicity norm positive preceding present problem projections PROOF properties prove range regular resolution resolvent respectively restriction Russian satisfies scalar type seen sequence shown shows spectral measure spectral operator spectrum statement strongly subset subspace sufficiently Suppose Theorem theory topology unbounded uniformly unique valued vector weakly zero