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4. (10+10pts.) Consider the homogeneous system 21 +22+ (3 - 2a).x3 = 0 2x1 + 12 + 7.03 - 14 = 0 -22 + 20.73 +2.04 = 0 21 +22

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Answer #1

The given system of equation is :

\small .\\ x_1+x_2+(3-2\alpha) x_3=0 \\ 2x_1+x_2+7x_3-x_4=0 \\ -x_2+2\alpha x_3+2x_4=0 \\ x_1+x_2+4x_3=0

a) We have to find the value of \small \alpha for which the dimension of solution space is 1 .

Now dimension of solution space of above system is equal to ( 4 - rank of coefficient matrix ) .

So we need to check for which value of \small \alpha , rank of coefficienct matrix is 3 .

So For that we have to bring down the coefficient matrix in row - echelon form and then see for what value of \small \alpha , the coefficient matrix has rank 3 .

So the coefficient matrix is given as :

1 (3 - 2a) 1 7 1 2 0 -1 1 1 0 -1 2 0 2a 4

We have to now reduce this matrix in row echelon form .

For that we perform elementary row operations .

R2 + R2 – 2R1 R4 → R4 R4 - R1

\small \begin{bmatrix} 1 & 1 & (3-2 \alpha ) & 0 \\ 0 & -1 & 1+4\alpha &-1 \\ 0 & -1 & 2\alpha & 2\\ 0 &0 & 1+2\alpha & 0 \end{bmatrix}

\small R_3 \rightarrow R_3-R_2

\small \begin{bmatrix} 1 & 1 & (3-2 \alpha ) & 0 \\ 0 & -1 & 1+4\alpha &-1 \\ 0 & 0 & -1-2\alpha & 3 \\ 0 &0 & 1+2\alpha & 0 \end{bmatrix}

\small R_4 \rightarrow R_4+R_3

\small \begin{bmatrix} 1 & 1 & (3-2 \alpha ) & 0 \\ 0 & -1 & 1+4\alpha &-1 \\ 0 & 0 & -1-2\alpha & 3 \\ 0 &0 & 0 & 3 \end{bmatrix}

Now as we can see , there are elements in each pivot position . But in 3rd pivot ( 3rd row , 3rd column ) , we can

see that the element  \small -1-2 \alpha can be made 0 . And if this element is made zero , we will have only 3 pivot elements and the rank of the matrix will reduce to 3 . And therefore then the corresponding solution space will have dimension 1 .

Now \small -1-2 \alpha = 0 \implies \alpha = \frac{-1}{2}

So we have for  \small \alpha = \frac{-1}{2} , the coefficient matrix becomes

\small \begin{bmatrix} 1 & 1 & (3-2 (\frac{-1}{2} )) & 0 \\ 0 & -1 & 1+4(\frac{-1}{2} ) &-1 \\ 0 & 0 & -1-2(\frac{-1}{2} ) & 3 \\ 0 &0 & 0 & 3 \end{bmatrix}=\begin{bmatrix} 1 & 1 & 4& 0 \\ 0 & -1 & -1 &-1 \\ 0 & 0 & 0 & 3 \\ 0 &0 & 0 & 3 \end{bmatrix}

And then performing row operation   \small R_4 \rightarrow R_4-R_3

\small \begin{bmatrix} 1 & 1 & 4& 0 \\ 0 & -1 & -1 &-1 \\ 0 & 0 & 0 & 3 \\ 0 &0 & 0 & 0 \end{bmatrix}

So this matrix has 1 -zero row and other 3 rows are linearly independent (due to presence of pivot elements ) .

So we conclude for   \small \alpha = \frac{-1}{2} , the coefficient matrix has rank 3 .

And therefore for  \small \alpha = \frac{-1}{2} , the dimension of solution space becomes 1.

b)

Now we have to find basis of solution space .

For that we first find the solution using the reduced row echelon form of coefficient matrix above .

So for   \small \alpha = \frac{-1}{2} in matrix form the system of given equations becomes .

\small \begin{bmatrix} 1 & 1 & 4& 0 \\ 0 & -1 & -1 &-1 \\ 0 & 0 & 0 & 3 \\ 0 &0 & 0 & 0 \end{bmatrix}\begin{bmatrix} x_1\\ x_2 \\x_3 \\ x_4 \end{bmatrix}=\begin{bmatrix} 0\\0 \\ 0 \\ 0 \end{bmatrix}

writing in equation form .

\small .\\ x_1+x_2+4x_3 =0\\ -x_2-x_3-x_4=0 \\ 3x_4=0

From 3rd equation we get , \small 3x_4=0 \implies x_4=0

So putting it in second equation we get ,

\small -x_2-x_3-0=0 \implies x_2=-x_3

And finally using first equation , we get

\small x_1+(-x_3)+4x_3=0 \implies x_1+3x_3=0 \implies x_1=-3x_3

So we get solution as

\small x_1=-3x_3 \ \ , \ \ x_2=-x_3 \ \ , \ \ x_3=x_3 \ \ , \ \ x_4=0

Solution space is :

\small (x_1,x_2,x_3,x_4)=(-3x_3,-x_3,x_3,0)=(-3,-1,1,0)x_3

So basis of the solution space is  \small \{(-3,-1,1,0) \}

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