Page 23 - Numerical Methods for Chemical Engineering
P. 23
12 1 Linear algebra
we can choose any j ∈ [1, N], k ∈ [1, N] and any scalar c = 0 to form the following
equivalent system that has exactly the same solution(s):
a 11 x 1 +· · · + a 1N x N = b 1
.
.
.
a j1 x 1 +· · · + a jN x N = b j
.
.
. (1.60)
(ca j1 + a k1 )x 1 +· · · + (ca jN + a kN )x N = (cb j + b k )
.
.
.
a N1 x 1 +· · · + a NN x N = b N
This procedure is known as an elementary row operation. The particular one shown here
we denote by k ← c × j + k.
We use matrix-vector notation, Ax = b, and write the system (1.59) as
a 11 a 12 ... a 1N x 1 b 1
. . .
. . . .
. . . . . .
.
.
...
a j1 a j2 a jN x j b j
. . . . .
. . (1.61)
. . . . = .
. .
.
a k1 a k2 ... a kN x k b k
. .
.
.
. . . . . . . .
. .
.
a N1 a N2 ... a NN x N b N
After the row operation k ← c × j + k, we have an equivalent system A x = b ,
a 11 a 12 ... a 1N x 1 b 1
. . . .
. . . . .
. . . . .
.
a j1 a j2 ... a jN b j
x j
. . . . .
. . . .
. . . . = . (1.62)
.
(ca j1 + a k1 )(ca j2 + a k2 ) ... (ca jN + a kN ) x k
(cb j + b k )
. . . .
.
. . . . .
. . . . .
...
a N1 a N2 a NN x N b N
As we must change both A and b, it is common to perform row operations on the augmented