
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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![Definition 1 (Reduction Algorithm). Given a square
matrix A, we can apply the reduction algorithm to obtain
P. A = L U where U is an upper triangular matrix, L is
a lower triangular matrix with 1's on the diagonal, and P is
a permutation matrix. Then det (P) det(A) = ±det(A)
det (L) det (U)= det(U)
det (U) = U₁1. Unn.
=
Definition
2 (Cofactor Formula). det(A)
where Cij = (-1)+det(Mij and M₁, is the submatrix of A
with row i and column j removed.
Definition
.
Σ sgn(o)a10(1)... ano (n).
σESym[n]
n
Σ ajj Cij
j=1
=
3 (Leibniz Formula). det(A)](https://content.bartleby.com/qna-images/question/fb9a7c18-65f1-48ed-bb7e-4937a04e4157/31e55610-468e-41c0-9ff9-b6c9c9e74800/70d9i3j_thumbnail.jpeg)
Transcribed Image Text:Definition 1 (Reduction Algorithm). Given a square
matrix A, we can apply the reduction algorithm to obtain
P. A = L U where U is an upper triangular matrix, L is
a lower triangular matrix with 1's on the diagonal, and P is
a permutation matrix. Then det (P) det(A) = ±det(A)
det (L) det (U)= det(U)
det (U) = U₁1. Unn.
=
Definition
2 (Cofactor Formula). det(A)
where Cij = (-1)+det(Mij and M₁, is the submatrix of A
with row i and column j removed.
Definition
.
Σ sgn(o)a10(1)... ano (n).
σESym[n]
n
Σ ajj Cij
j=1
=
3 (Leibniz Formula). det(A)

Transcribed Image Text:For each matrix below, compute the determinant using all three methods.
1 2 3
4 4
6 7
2 3
12
2 1
10
0 1
0 1 1
(a) A=4
5
1
3
3
(b) A =
1
(c) A = 1
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