Linear Algebra: UNIT II: Linear Transformations and Diagonalization

Matrix Representation of a Linear Transformation: Example Solved Problems

Important Example Solved Problems - Engineering Maths or Mathematics - Matrix Representation of a Linear Transformation

MATRIX REPRESENTATION OF A LINEAR TRANSFORMATION

WORKED EXAMPLES

 

Example 1

Let R3→R2, defined by T (x, y, z) = (x+y, y + z), then β = {(‒1, 1, 1), (1, ‒1, 1), (1, 1, −1)}, and γ= {(1, 0), (0, 1)}. Then find [T].

Solution:

Let v1 =(1, 1, 1), v2 = (1, 1, 1), v3 = (1, 1, 1), w1 = (1, 0) and w2 = (0, 1).

T(v1)T(−1, 1, 1) = (−1 + 1, 1 + 1) = (0, 2)

T (v2)=T(1, −1, 1) = (−1 − 1, − 1 + 1) = (0, 0)

T (v3)=T(1, 1, −1)=(1+1, 1−1)=(2, 0)

(0,2)=0 (1,0)+2 (0, 1)

(0, 0) = 0 (1, 0)+0 (0, 1)

(2, 0) = 2 (1, 0)+0 (0, 1)


 

Example 2

Let T : R2 → R3, defined by T (a1, a2) = (a1+3α2, 0, 2α1−4a2), then β = {(1, 0), (0, 1)} and γ= {(1, 0, 0), (0, 1, 0), (0, 0, 1)}. Then find [T].

Solution:

Let v1 = (1, 0), v2 = (0, 1), w1 = (1, 0, 0), w2 = (0, 1, 0) and w3 = (0, 0, 1)

T(v1)=T(1, 0) = (1, 0, 2) = 1 (1, 0, 0) + 0 (0, 1, 0) + 2 (0, 0, 1)

= (1, 0, 0) + (0, 0, 0) + (0, 0, 2) = (1 +0 +0, 0+0+0,0 + 0 + 2) = (1, 0, 2)

T(v2)=T(0, 1)=(3, 0, −4) = 3(1, 0, 0) + 0 (0, 1, 0) ‒ 4 (0, 0, 1)

= (3, 0, 0) + (0, 0, 0) + (0, 0, − 4) = (3+0 +0,0 +0+0,0 + 0−4) = (3, 0, −4)


 

Example 3

Let T: P3(R)→P2(R) be the linear transformation defined by T(f(x)) = f '(x). Let β and γ be the standard bases for P3(R) and P2(R) respectively. Then find [T].

Solution:

Given that T (f(x)) = f '(x).

 T(1)=0=0 (1) + 0 (x)+0(x2)

  T(x)=1=1 (1) + 0 (x)+0 (x2)

 T (x2) = 2x = 0 (1) + 2 (x) + 0 (x2)

 T (x3) = 3x2 = 0 (1) + 0 (x) + 3 (x2)


 

Example 4

Let β & γ be the standard bases for Rn and Rm respectively. Let T: Rn→Rm. Compute [T]γβ for T: R2 → R3 defined by T (a1, a2)=(2a1a2, 3a1+4a2, α1)

Solution:

Let us consider the linear transformation T: Rn → Rm having standard bases β and γ respectively, for Rn and Rm. The standard bases for R2 are v1 = (1, 0) & v2 = (0, 1) and for R3 the bases are w1 = (1, 0, 0), w2 = (0, 1, 0) & w3 = (0, 0, 1)

Let the transformation T: R2 → R3

Defined transformation is T (a1, a2) = (2a1a2,1 +4a2, a1)

 T(v1) = T (1, 0) = (2 (1) − 0,3 (1) + 0, 1) = (2, 3, 1)

 T (v2) = T(0, 1) = (2 (0) − 1, 3(0)+4(1), 0) = (− 1, 4, 0)

 The expression of [T] is



Example 5

Let T: R3 → R2, defined by T (a1, a2, a3) = (2a1 +3a2 − α3, α1 +a3). Let β & γ be the standard bases for Rn & Rm. Compute [T]βγ.

Solution:

Given that T: R3 → R2, T (a1, a2, a3) = (2a1 + 3a2 – a3, a1 + a3). Let v1 =(1, 0) & v2 = (0, 1) are the standard standard bases for R2. Let w1== (1, 0, 0), w2 = (0, 1, 0) & w3 = (0, 0, 1) are the standard bases for

Then T(w1) = T (1, 0, 0) = (2 (1) +3 (0) −0,1+0) = (2, 1).

T (w2) = T (0, 1, 0) = (2 (0) +3 (1) ‒ 0, 0+0) = (3, 0)

T(w3) =  T (0, 0, 1) = (2 (0) + 3 (0) −1, 0+1) = (‒1, 1)


 

Example 6

Let T: R3 →R. Define T (a1, a2, α3) = (2a1+a2−3a3). Let β & γ be the standard bases for Rn & Rm. Compute [T]βγ.

Solution:

Let T: R3 → R

 T(a1, a2, a3) = (2a1 + a2−3a3)

Let v1 = (1, 0, 0), v2 = (0, 1, 0) & v3 = (0, 0, 1) are the standard bases for R3.

T (v1)=T(1, 0, 0) = (2 (1) + (0)−3(0))=2(0)

T (v2) = T (0, 1, 0) = (2 (0) + (1) ‒ 3 (0)) = 1

and T (v3)= T (0, 0, 1) = (2 (0) + (0)−3(1)) = −3

 [ T ] βγ. = [2 1 − 3]

 

Example 7

Let T: Rn→Rn.

Define T (a1, a2, az ... an) = (a1, α1, a1,... a1). Compute [T].

Solution:

Given that T: Rn →Rn

T (a1, a2, a3 ... an) = (a1, a1, a1, a1... a1)

Let v1 = (1,0,0... 0), v2 = (0, 1, 0... O), v3 = (0, 0, 1 ... 0)...  & vn = (0, 0, 0 ... 1)

Then T(v1) = T(1, 0, 0... 0) = (1, 1, 1, ... 1)

T (v2) = T(0, 1, 0, ... 0) = (0, 0, 0, ... 0)

T (v3) = T (0, 0, 1, 0 ... 0) = (0, 0, 0 ... 0)

T (v4) T (0, 0, 0, 1, 0, ... 0) = (0, 0, 0... 0)

:

:

T (vn) = T (0, 0, 0, ... 1) = (0, 0, 0 ... 0)


 

Example 8

Let T: R2 → R3. Define T (a1, a2) = (a1a2, a1, 2a1+a2)

Let β be the standard bases for R2 & γ be the standard bases for R3.

Given that γ = {(1, 1, 0), (0, 1, 1), (2, 2, 3)). Compute [T] βγ.

Solution:

Given that T: R2 → R3

T (a1, a2) = (a1a2, a1, 2a1+ a2)

Let β = {(1, 0), (0, 1)} be the standard bases for R2,

and γ = {(1, 0, 0), (0, 1, 0), (0, 0, 1) } be the standard bases for R3.

Here it is given that

 γ = { (1, 1, 0), (0, 1, 1), (2, 2, 3)} be the standard bases for R3.

Let v1 = (1, 0), v2 = (0, 1), w1 = (1, 1, 0), w2 = (0, 1, 1) & w3 = (2, 2, 3)

T(v1)=T(1, 0) = (1−0, 1, 2 (1) + 0) = (1, 1, 2).

T(v2)=T(0, 1)=(0−1, 0, 2 (0) + 1) = (−1, 0, 1)

Given that γ = { (1, 1, 0), (0, 1, 1), (2, 2, 3)} be the standard bases for R3.

 T (v1) = T (1, 0) = (1, 1, 2) = 1 (1, 1, 0) + 1 (0, 1, 1) +2 (2, 2, 3)

= (1, 1, 0) + (0, 1, 1) + (4, 4, 6)

= (5, 6, 7)

and T(v2)=T(0, 1) = (− 1, 0, 1) = − 1 (1, 1, 0) + 0 (0, 1, 1) + 1 (2, 2, 3)

= (−1, −1, 0)+(0, 0, 0) + (2, 2, 3)

= (1, 1, 3)


 

Example 9

Let T: M2×2 (R) → P2 (R)

Define:  = (a+b) + (2d)x +bx2 Let β = {} & γ = {1,x,x2}.

Compute [T]βγ.

Solution:

Given that T: M2×2 (R) → P2(R)


Let γ = {1, x, x2}

The coefficients of these linear combinations of the matrix is


 

Example 10

Let T: M2×2 (F) → M2×2(F).

Let α = {}, β = (1, x, x2) & γ = {1}.

Define T (A)=At, then compute [T]α.

Solution:

Given that T (A)=At (or) A' where t or prime is transpose.

(ie) A= aij At (or) A′ = aji


 

Example 11

Let T: P2 (R) → M2×2 (R). T[f(x)] =  and α = , β = (1,x,x2) & γ={1}.

Compute [T]αβ.

Solution:

T[β]=[T]β

Hence β = {1, x, x2}. so f(x)=(1, x, x2)

f '(x) = (0, 1, 2x), f ''(x) = (0, 0, 2)

  f ′ (0) = (0, 1, 0), 2f(1) = 2 (1, 1, 1) = (2, 2, 2), ƒ" (3) = (0, 0, 2)


 

Example 12

Let T: M2×2(F) → F

Define: T (A) = Trace (A), a = {}

 Β ={1,x,x2 } & γ=[1]. Compute [T]γα.

Solution:

T: M2×2(F) → F & T (A) = Trace (A) = a11+ a22 + a33 + …. + ann


= [1 + 0, 0 + 0, 0 + 0, 0 + 1]

                   (by adding diagonal elements)

= [1, 0, 0, 1]

[ T ]γβ = (1, 0, 0, 1)

 

Linear Algebra: UNIT II: Linear Transformations and Diagonalization : Tag: maths, mathematics : - Matrix Representation of a Linear Transformation: Example Solved Problems


Linear Algebra: UNIT II: Linear Transformations and Diagonalization



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