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dc.contributor.authorTrefethen, Lloyd N.en_US
dc.description.abstractThe advent of ever more powerful computers has brought with it a new way of conceiving some of the fundamental eigenvalue problems of applied mathematics. If a matrix or linear operator $A$ is far from normal, its eigenvalues or more generally its spectrum may have little to do with its behavior as measured by quantities such as $\|A^n\|$ or $\EtA$.\ \ More may be learned by examining the sets in the complex plane known as the {\it pseudospectra} of $A$, defined by level curves of the norm of the resolvent, $\Resz$. Five years ago, the author published a paper that presented computed pseudospectra of thirteen highly non-normal matrices arising in various applications. Since that time, analogous computations have been carried out for differential and integral operators. This paper, a companion to the earlier one, presents ten examples, each chosen to illustrate one or more mathematical or physical principles.en_US
dc.format.extent418550 bytes
dc.format.extent585802 bytes
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titlePseudospectra of linear operatorsen_US
dc.typetechnical reporten_US

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