A Hessenberg matrix H„ is n x n matrix that has 2 on the main diaonal, 1 everywhere below the main diagonal and on the diagonal above the main one and zeros everywhere else. For example, [2 1 H2 = |1 2 2 107 H3 = 1 2 1 [1 1 2 2 10 0 1 2 1 0 1 1 2 1 [i 1 1 2. H4 (1a, ) Compute det(H2) and det(H3) (1b, ) Compute det(H4) by doing the following steps: subtract column 2 from column 1 and use cofactor expansion along the resulting column 1 to show that det(H4) = det(H3) + det(H2). (1c, ) Follow the steps in (1b) to show that the same result holds for arbitrary n > 3 det(Hn) = det(H„-1) + det(Hn-2).

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
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Chapter5: Orthogonality
Section5.3: The Gram-schmidt Process And The Qr Factorization
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A Hessenberg matrix H, is n x n matrix that has 2 on the main diaonal, 1 everywhere below the main diagonal
and on the diagonal above the main one and zeros everywhere else. For example,
2 1
H2
1
2
2 1
H3
1 2 1
1 1
2
2 1
0 0
1 2
На
1
1
1
1
1
1
2
(1а,
) Compute det(H2) and det(H3)
(1b,
) Compute det (H4) by doing the following steps: subtract column 2 from column 1 and use cofactor
expansion along the resulting column 1 to show that
det (H4) = det(H3) + det(H2).
(1c,
) Follow the steps in (1b) to show that the same result holds for arbitrary n > 3
det(Hn) = det(H,-1)+ det(Hn 2).
||
Transcribed Image Text:A Hessenberg matrix H, is n x n matrix that has 2 on the main diaonal, 1 everywhere below the main diagonal and on the diagonal above the main one and zeros everywhere else. For example, 2 1 H2 1 2 2 1 H3 1 2 1 1 1 2 2 1 0 0 1 2 На 1 1 1 1 1 1 2 (1а, ) Compute det(H2) and det(H3) (1b, ) Compute det (H4) by doing the following steps: subtract column 2 from column 1 and use cofactor expansion along the resulting column 1 to show that det (H4) = det(H3) + det(H2). (1c, ) Follow the steps in (1b) to show that the same result holds for arbitrary n > 3 det(Hn) = det(H,-1)+ det(Hn 2). ||
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