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2. As the first sub-step of the QR algorithm for A, we used an orthogonal matrix Qı to reduce the first column ay to a m

Posted: Thu Apr 28, 2022 1:30 pm
by answerhappygod
2 As The First Sub Step Of The Qr Algorithm For A We Used An Orthogonal Matrix Qi To Reduce The First Column Ay To A M 1
2 As The First Sub Step Of The Qr Algorithm For A We Used An Orthogonal Matrix Qi To Reduce The First Column Ay To A M 1 (178.66 KiB) Viewed 23 times
2. As the first sub-step of the QR algorithm for A, we used an orthogonal matrix Qı to reduce the first column ay to a multiple of ej. We have seen in class that two following approaches are used. 1) (i) In the Householder QR algorithm, we choose Q1 to be the Householder matrix such that Q1a1 || 21||2e1. (Here without loss of generality, we assumed ai is reduced to ||a1||2e¡ rather than -||a1||201.) (ii) In the Givens QR algorithm, we use the product of a series of Givens rotations Q1 G42_,...GⓇ) such that Qia1 = ||a1||2e1. Prove that the two Qı’s in (i) and (ii) are different if all entries of aż are non-zero. (Actually, there are many other different ways to orthogonally reduce aj to a multiple of e1.) -