Finding the Kernel of a Linear Map and Checking Subspace Membership in MATH 310, Quizzes of Linear Algebra

The solution to self-quiz 14 in math 310, which involves finding the kernel of a linear map t : r4 → r3 and checking if the vector (1, 3, 2, −2)t belongs to the subspace spanned by (1, 2, −1, 1)t, (3, 1, 1, 0)t, and (1, 3, 0, 1)t. The solution uses matrix operations and the gauss-jordan elimination method.

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2011/2012

Uploaded on 05/18/2012

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MATH 310
Self-quiz 14
1. Find the kernel of the linear map T:R4R3with
T((x, y, z, w )T)=(x+y+z+w, 2x+ 3y+ 2z+w, 3xy+ 2z+w)T
2. Examine if the vector (1,3,2,2)Tbelongs to the subspace of R4spanned
by the vectors (1,2,1,1)T, (3,1,1,0)Tand (1,3,0,1)T.
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MATH 310

Self-quiz 14

  1. Find the kernel of the linear map T : R

4 → R

3 with

T ((x, y, z, w)

T ) = (x + y + z + w, 2 x + 3y + 2z + w, 3 x − y + 2z + w)

T

  1. Examine if the vector (1, 3 , 2 , −2)

T belongs to the subspace of R

4 spanned

by the vectors (1, 2 , − 1 , 1)

T , (3, 1 , 1 , 0)

T and (1, 3 , 0 , 1)

T .

MATH 310

Self-quiz 14

  1. Find the kernel of the linear map T : R^4 → R^3 with

T ((x, y, z, w)

T ) = (x + y + z + w, 2 x + 3y + 2z + w, 3 x − y + 2z + w)

T

Solution: The kernel of the map is given by the subspace:

{(x, y, z, w)

T : T ((x, y, z, w)

T ) = (0, 0 , 0 , 0)

T }

or

{(x, y, z, w)

T : x + y + z + w = 0, 2 x + 3y + 2z + w = 0, 3 x − y + 2z + w = 0}

In other words, we need to solve the system:

x + y + z + w = 0

2 x + 3y + 2z + w = 0

3 x − y + 2z + w = 0

We will use the Gauss-Jordan elimination method and work with its aug-

mented matrix:

− 2 R 1 + R 2

− 3 R 1 + R 3

and therefore the basis of ker(T ) is:

Incidentally this implies that the kernel is 1-dimensional which also means

that the image has to be 3-dimensional i.e. all of R

3 .

  1. Examine if the vector (1, 3 , 2 , −2)

T belongs to the subspace of R

4 spanned

by the vectors (1, 2 , − 1 , 1)

T , (3, 1 , 1 , 0)

T and (1, 3 , 0 , 1)

T .

Solution: This is equivalent to asking if there exists real numbers λ, μ and

ν such that:

T = λ(1, 2 , − 1 , 1)

T

  • μ(3, 1 , 1 , 0)

T

  • ν(1, 3 , 0 , 1)

T

The above equation is equivalent to the system:

λ + 3μ + ν = 1

2 λ + μ + 3ν = 3

−λ + μ = 2

λ + ν = − 2

We will solve this system by using the Gauss-Jordan elimination method on

the augmented matrix of the system:

− 2 R 1 + R 2

R 1 + R 3

−R 1 + R 4

R 2 ↔ R 4

R 2

− 4 R 2 + R 3

5 R 2 + R 4

−R 3 + R 4