Spectral abscissa
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In mathematics, the spectral abscissa of a matrix or a bounded linear operator is the greatest real part of the matrix's spectrum (its set of eigenvalues).[1] It is sometimes denoted . As a transformation
, the spectral abscissa maps a square matrix onto its largest real eigenvalue.[2]
Let λ1, ..., λs be the (real or complex) eigenvalues of a matrix A ∈ Cn × n. Then its spectral abscissa is defined as:
In stability theory, a continuous system represented by matrix is said to be stable if all real parts of its eigenvalues are negative, i.e.
.[3] Analogously, in control theory, the solution to the differential equation
is stable under the same condition
.[2]
See also
References
- ↑ Deutsch, Emeric (1975). "The Spectral Abscissa of Partitioned Matrices" (PDF). Journal of Mathematical Analysis and Applications. 50: 66–73. doi:10.1016/0022-247X(75)90038-4 – via CORE.
- 1 2 Burke, J. V.; Lewis, A. S.; Overton, M. L. (2000). "Optimizing matrix stability" (PDF). Proceedings of the American Mathematical Society. 129 (3): 1635–1642. doi:10.1090/S0002-9939-00-05985-2.
- ↑ Burke, James V.; Overton, Micheal L. (1994). "Differential properties of the spectral abscissa and the spectral radius for analytic matrix-valued mappings" (PDF). Nonlinear Analysis, Theory, Methods & Applications. 23 (4): 467–488. doi:10.1016/0362-546X(94)90090-6 – via Pergamon.
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