I don’t understand here how they got the associated matrix like the part with f(1,0,0,0) and so on are they substituting in the coordinates or in alpha or both ?

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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I don’t understand here how they got the associated matrix like the part with f(1,0,0,0) and so on are they substituting in the coordinates or in alpha or both ?
For a ER consider the linear maps Fa: R² + R² defined
as follows
fa (x₁y/21t) = (x+2, (2-1) x + 2y + 2, x ²₁ = x + ²y + 32 + t]
al Compute the associated matrix to far with respect to the canonical bases
R² + RE
We are in the dimension of 4 so we have 4 standard basis
A=[F(₁) FC₂) F(es) F(14) J
F(1,0,0,0) = (-1, α-1, 0,-1)
F(0,0,1,0) = (1, 1, α, 3)
- 1
x-1
(²
2thway →
4+4
O 1
2
O
1 O
2 3
A x =
L
4x1
دم
()
4x4
< 1=
000
C2 =
Ps=
f(0,1,0,0) = (0, 2, 0, 2)
F(0,0,0,1)= (0,0,0,1)
Transcribed Image Text:For a ER consider the linear maps Fa: R² + R² defined as follows fa (x₁y/21t) = (x+2, (2-1) x + 2y + 2, x ²₁ = x + ²y + 32 + t] al Compute the associated matrix to far with respect to the canonical bases R² + RE We are in the dimension of 4 so we have 4 standard basis A=[F(₁) FC₂) F(es) F(14) J F(1,0,0,0) = (-1, α-1, 0,-1) F(0,0,1,0) = (1, 1, α, 3) - 1 x-1 (² 2thway → 4+4 O 1 2 O 1 O 2 3 A x = L 4x1 دم () 4x4 < 1= 000 C2 = Ps= f(0,1,0,0) = (0, 2, 0, 2) F(0,0,0,1)= (0,0,0,1)
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