Answer to Question #151740 in Linear Algebra for Ashweta Padhan

Question #151740
Let T: R^5 tends to R^3 defined by T(a, b, c, d, e)=(a+2b+2c+d+e, a+2b+3c+2d-e, 3a+6b+8c+5d-e). Find the basis and the dimension of the kernel and the image of T
1
Expert's answer
2020-12-20T18:00:58-0500

Solution: Given that , T(a, b, c, d, e)=(a+2b+2c+d+e, a+2b+3c+2d-e, 3a+6b+8c+5d-e).

This can be written as "T\\left[\\begin{array}{c}a\\\\b\\\\c\\\\d\\\\e\\\\\\end{array}\\right]=\\left[\\begin{array}{c}1&2&2&1&1\\\\1&2&3&2&-1\\\\3&6&8&5&-1\\\\\\end{array}\\right]\\left[\\begin{array}{c}a\\\\b\\\\c\\\\d\\\\e\\\\\\end{array}\\right]"

We write this as "T(v)=Av ~where~v=\\left[\\begin{array}{c}a\\\\b\\\\c\\\\d\\\\e\\\\\\end{array}\\right] and ~A=\\left[\\begin{array}{c}1&2&2&1&1\\\\1&2&3&2&-1\\\\3&6&8&5&-1\\\\\\end{array}\\right]"

To find ker(T):

The "ker(T)" is the same as the null space of the matrix "A" "(i.e. null A)" . Therefore we find reduced row echelon form of the matrix "A"

"\\therefore rref(A)=\\left[\\begin{array}{c}1&2&2&1&1\\\\1&2&3&2&-1\\\\3&6&8&5&-1\\\\\\end{array}\\right]=\\left[\\begin{array}{c}1&2&0&-1&5\\\\0&0&1&1&-2\\\\0&0&0&0&0\\\\\\end{array}\\right]"


Therefore rewriting the system in terms of free variables"~b,d,e", we have

"\\left[\\begin{array}{c}a\\\\b\\\\c\\\\d\\\\e\\\\\\end{array}\\right]=\\left[\\begin{array}{c}-2b+d-5e\\\\b\\\\-d+2e\\\\d\\\\e\\\\\\end{array}\\right]=b\\left[\\begin{array}{c}-2\\\\1\\\\0\\\\0\\\\0\\\\\\end{array}\\right]+d\\left[\\begin{array}{c}1\\\\0\\\\-1\\\\1\\\\0\\\\\\end{array}\\right]+e\\left[\\begin{array}{c}-5\\\\0\\\\2\\\\0\\\\1\\\\\\end{array}\\right]"


The set"[(-2,1,0,0,0),(1,0,-1,1,0),(-5,0,2,0,1)]" spans "Null A" and it is linearly independent set, So the set {(-2,1,0,0,0),(1,0,-1,1,0),(-5,0,2,0,1)} forms a basis of "\\mathbf{ker(T)}"


Dimension of ker(T) : We know that "The dimension of Null A is the number of free variables in the equation "Ax=0" "

Here, there are two leading variables "a ~and ~c" and three free variables "b,d,e" .

Hence dim Null A =3

Hence dim [ ker (T)]=3


To find Image of T i.e. Im(T):

To identify vector that span Im(T), we identify the first and third columns as pivot columns(leading 1's) in rref(A). These columns are linearly independent and span col(A).

"\\therefore Im(T)=Col(A)=\\left[\\begin{array}{c}1\\\\1\\\\3\\\\\\end{array}\\right],\\left[\\begin{array}{c}2\\\\3\\\\8\\\\\\end{array}\\right]"


"Let~B=Im(T)=\\left[\\begin{array}{c}1&2\\\\1&3\\\\3&8\\\\\\end{array}\\right]"


"rref(B)=\\left[\\begin{array}{c}1&0\\\\0&1\\\\0&0\\\\\\end{array}\\right]"

rewriting the rref(B) in vector matrix form

"\\Rightarrow \\left[\\begin{array}{c}a\\\\b\\\\\\end{array}\\right]=a\\left[\\begin{array}{c}1\\\\0\\\\\\end{array}\\right]+b\\left[\\begin{array}{c}0\\\\1\\\\\\end{array}\\right]"

Therefore, the Im(T) is the xy plane.The set{(1,0),(0,1)}Span Null B and it is linearly independent set, So the set {(1,0),(0,1)} forms a basis of Im(T).

Dimension of Im(T) : We know that rank(A)=2 (non-zero rows of rref(A))

and we know that dim(Im(A)=rank(A)

"\\mathbf{\\therefore dim(Im)=2}"




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