2018
Journal article  Open Access

Solving rank-structured Sylvester and Lyapunov equations

Massei S., Palitta D., Robol L.

numerical range  algorithms  H -matrices  quadrature  quasiseparable matrices  H-matrices  Quasiseparable matrices  decay bounds  Banded matrices  Lyapunov equation  Sylvester equation  Off-diagonal singular values  off-diagonal singular values  riccati-equations  Analysis  singular-values  matrices  banded matrices 

We consider the problem of efficiently solving Sylvester and Lyapunov equations of medium and large scale, in case of rank-structured data, i.e., when the coefficient matrices and the right-hand side have low-rank off-diagonal blocks. This comprises problems with banded data, recently studied in [A. Haber and M. Verhaegen, Automatica J. IFAC, 73 (2016), pp. 256-268; D. Palitta and V. Simoncini, Numerical Methods for Large-Scale Lyapunov Equations with Symmetric Banded Data, preprint, arxiv, 1711.04187, 2017], which often arise in the discretization of elliptic PDEs. We show that, under suitable assumptions, the quasiseparable structure is guaranteed to be numerically present in the solution, and explicit novel estimates of the numerical rank of the offdiagonal blocks are provided. Efficient solution schemes that rely on the technology of hierarchical matrices are described, and several numerical experiments confirm the applicability and efficiency of the approaches. We develop a MATLAB toolbox that allows easy replication of the experiments and a ready-to-use interface for the solvers. The performances of the different approaches are compared, and we show that the new methods described are efficient on several classes of relevant problems.

Source: SIAM journal on matrix analysis and applications (Print) 39 (2018): 1564–1590. doi:10.1137/17M1157155

Publisher: Society for Industrial and Applied Mathematics ,, Philadelphia, Pa. , Stati Uniti d'America


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BibTeX entry
@article{oai:it.cnr:prodotti:396727,
	title = {Solving rank-structured Sylvester and Lyapunov equations},
	author = {Massei S. and Palitta D. and Robol L.},
	publisher = {Society for Industrial and Applied Mathematics ,, Philadelphia, Pa. , Stati Uniti d'America},
	doi = {10.1137/17m1157155},
	journal = {SIAM journal on matrix analysis and applications (Print)},
	volume = {39},
	pages = {1564–1590},
	year = {2018}
}