Perturbation analysis for the matrix least squares problem AXB=C

https://doi.org/10.1016/j.cam.2014.06.007Get rights and content
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Abstract

Let S and Ŝ be two sets of solutions to matrix least squares problem (LSP) AXB=C and the perturbed matrix LSP ÂX̂B̂=Ĉ, respectively, where Â=A+ΔA, B̂=B+ΔB, Ĉ=C+ΔC, and ΔA, ΔB, ΔC are all small perturbation matrices. For any given XS, we deduce general formulas of the least squares solutions X̂Ŝ that are closest to X under appropriated norms, meanwhile, we present the corresponding distances between them. With the obtained results, we derive perturbation bounds for the nearest least squares solutions. At last, a numerical example is provided to verify our analysis.

MSC

65F20
65F35
15A09

Keywords

Matrix equation
Least squares solution
Perturbation bound
Norm-preserving dilation

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