Let T : R3 --->R3be a linear transformation and I be the identity t...
Let T : R3 —» R3 be a linear transformation and I be the identity transformation of R3. If there exist a scalar c and a non zero vector x ∈ R3, such that T(x) = cx. Then
(T - c l) (x) = T(x) - (cl) (x)
= cx - cx = 0.
Thus, for non zero x, (T - cl) (x) is zero. Hence, nullity of ( T - cl) cannot be 0. Using Rank nullity theorem.
Rank (T - cI) = 3 - Nullity of (T - cl) Therefore, Rank of (T- cl) can not be 3.
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Let T : R3 --->R3be a linear transformation and I be the identity t...
R2 be a linear transformation defined by T(x, y, z) = (2x + y, 3y - z).
To find the standard matrix for T, we need to determine the images of the standard basis vectors for R3.
The standard basis vectors for R3 are:
e1 = (1, 0, 0)
e2 = (0, 1, 0)
e3 = (0, 0, 1)
Let's find the images of these vectors under T:
T(e1) = T(1, 0, 0) = (2(1) + 0, 3(0) - 0) = (2, 0)
T(e2) = T(0, 1, 0) = (2(0) + 1, 3(1) - 0) = (1, 3)
T(e3) = T(0, 0, 1) = (2(0) + 0, 3(0) - 1) = (0, -1)
The images of the standard basis vectors are:
T(e1) = (2, 0)
T(e2) = (1, 3)
T(e3) = (0, -1)
The standard matrix for T is formed by arranging these images as columns:
[ 2 1 0 ]
[ 0 3 -1 ]
Therefore, the standard matrix for the linear transformation T is:
[ 2 1 0 ]
[ 0 3 -1 ]