Let V and W be vector spaces over a field K having bases α = {V₁, V₂} and B = {w₁, W₂, W3} respectively. Recall that the set of linear transformations (V,W) = {T: V → W | T is linear} is a vector space. For i = 1, 2 and j = 1,2,3 define Tij : V → W by Tij (0x) = { W; ifk = i₁ if k # i Recall that by Theorem 34, the above information is sufficient to define each Tij as a linear transformation since it specifies the value on the basis {V₁, V₂2}. Let S = 2T12-3T23 +4T11. Evaluate S(2v₁ - 30₂) and compute the matrix [S].

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Let V and W be vector spaces over a field K having bases α = {V₁, V₂} and B = {w₁, W₂, W3} respectively.
Recall that the set of linear transformations
(V, W) = {T: V → W | T is linear}
is a vector space. For i = 1,2 and j = 1,2,3 define Tij: V → W by
if k = i,
if k # i
Tij (Ux) = { W₁
Recall that by Theorem 34, the above information is sufficient to define each Tij as a linear transformation since
it specifies the value on the basis {V₁, V₂}.
1,
Let S = 2T12 - 3T23 + 4T₁1. Evaluate S(2v₁ – 3v₂) and compute the matrix [S].
Transcribed Image Text:Let V and W be vector spaces over a field K having bases α = {V₁, V₂} and B = {w₁, W₂, W3} respectively. Recall that the set of linear transformations (V, W) = {T: V → W | T is linear} is a vector space. For i = 1,2 and j = 1,2,3 define Tij: V → W by if k = i, if k # i Tij (Ux) = { W₁ Recall that by Theorem 34, the above information is sufficient to define each Tij as a linear transformation since it specifies the value on the basis {V₁, V₂}. 1, Let S = 2T12 - 3T23 + 4T₁1. Evaluate S(2v₁ – 3v₂) and compute the matrix [S].
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