2018
DOI: 10.1063/1.5040705
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Beyond the spectral theorem: Spectrally decomposing arbitrary functions of nondiagonalizable operators

Abstract: Nonlinearities in finite dimensions can be linearized by projecting them into infinite dimensions. Unfortunately, often the linear operator techniques that one would then use simply fail since the operators cannot be diagonalized. This curse is well known. It also occurs for finite-dimensional linear operators. We circumvent it by developing a meromorphic functional calculus that can decompose arbitrary functions of nondiagonalizable linear operators in terms of their eigenvalues and projection operators. It e… Show more

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Cited by 15 publications
(21 citation statements)
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“…Similar technical difficulties arise more generally when describing minimal maximally predictive models of other continuous-time, discrete-symbol processes that are not the continuous-time Markov processes analyzed in Ref. [6].…”
Section: Discussionmentioning
confidence: 87%
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“…Similar technical difficulties arise more generally when describing minimal maximally predictive models of other continuous-time, discrete-symbol processes that are not the continuous-time Markov processes analyzed in Ref. [6].…”
Section: Discussionmentioning
confidence: 87%
“…(6). Otherwise, arrows denote allowed transitions back to the reset state or "0 node" (solid black circle at left), denoting that an event occurred.…”
Section: Wave Propagation On Continuous-time -Machinesmentioning
confidence: 99%
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