Let T : R2 - R3 be the linear transformation whose matrix with respect to standard basis {e1, e2, e3) of R3 is  then T

  1. maps the subspace spanned by e1 and e2 into itself
  2. has distinct eigenvalues
  3. has eigenvectors that span R3
  4. has a non-zero null space

Answer (Detailed Solution Below)

Option 3 : has eigenvectors that span R3
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DSSSB TGT Social Science Full Test 1
200 Qs. 200 Marks 120 Mins

Detailed Solution

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Concept:

Linear transformation: The Linear transformation T : V → W is that for any vectors v1 and v2 in V and scalars a and b of the underlying field, it satisfies following condition

T(av1 + bv2) = a T(v1) + b T(v2).

Calculations:

T = 

| T - λI | = 0

⇒  

⇒ λ2(1 - λ) + 1(λ - 1) = 0

⇒ (λ - 1)(1 - λ2) = 0

⇒ λ = 1, 1, -1.

⇒ T has only zero null space.

| T - I | = 0

⇒  

⇒ - x + z = 0

Then the eigen vector [0, 1, 0] & [1, 0, 1]

| T+ I | = 0

⇒ 

⇒ x + z = 0 and y = 0

⇒ Then the eigen vector [1, 0, -1].

Clearly all are independent.

Hence it spans R3.

Hence, the correct answer is option 3)

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