in Linear Algebra
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33 votes

Consider the following system of linear equations $$\left( \begin{array}{ccc} 2 & 1 & -4 \\ 4 & 3 & -12 \\ 1 & 2 & -8 \end{array} \right) \left( \begin{array}{ccc} x \\ y \\ z \end{array} \right) = \left( \begin{array}{ccc} \alpha \\ 5 \\ 7 \end{array} \right)$$ Notice that the second and the third columns of the coefficient matrix are linearly dependent. For how many values of $\alpha$, does this system of equations have infinitely many solutions?

  1. \(0\)
  2. \(1\)
  3. \(2\)
  4. \(3\)
in Linear Algebra
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4 Comments

Given this type of qsn. 1st we've to check whether |A| = 0 or not. as it's a Ax = b format.

Now here |A| = 0 implies there is infintely many solutions or no solution exists.How to differentiate both of them, I mean what indicates that there is infinitely many solutions & what indicates that there is no solution exists.

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1) Rank of matrix = Rank of augmented matrix: This means that the solution exists for the system of equations. 
  • Now, if this rank is equal to 'n', where 'n' is the number of variables. (That would actually mean both det(augmented matrix) and det(matrix) are non-zero). In this case unique solution exists.
  • if this rank is less than 'n', then there exists infinite number of solutions.
2) Rank of matrix != Rank of augmented matrix: This means that there is no solution for the system of equations.

As per my understanding, we cannot have rank of augmented matrix < rank of the matrix itself.

We can only have rank of augmented matrix > rank of the matrix.

 

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@rohith1001 everything is correct except the statement “(That would actually mean both det(augmented matrix) and det(matrix) are non-zero).” .

We cannot have something called det(augmented matrix ) because A is a square matrix but augmented matrix will contain one extra column A|B which will no longer be a square matrix and determinant is only defined for square matrix.

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4 Answers

30 votes
30 votes
Best answer

Since the second and third columns of the coefficient matrix are linearly deoendent, determis $0.$ So, the system of equations either has infinitely many solutions (if they are consistent) or no solution. To check for consistency, we apply reduction method on $(A\mid B)$

$R_{2}\leftarrow R_{2}-2R_{1},R_{3}\leftarrow R_{3}-0.5R_{1},R_{3}\leftarrow R_{3}-1.5R_{2}, R_1 \leftarrow R_1/2$

obtain the resultant matrix

$\large\begin{pmatrix}2&1&{-4}&\alpha\\4&3&{-12}&5\\1&2&{-8}&7\end{pmatrix}\rightarrow\begin{pmatrix}1&0.5&{-2}&0.5\alpha\\0&1&{-4}&5-2\alpha\\0&0&{-0}& -0.5+2.5\alpha\end{pmatrix}$

or infinitely many solutions, we must have $-0.5+2.5\alpha =0\; i.e., \alpha=\dfrac{1}{5}.$ So, for only $1$ value of $\alpha,$ this system has infinitely many solutions. So, option (B) is correct.

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4 Comments

edited by
You can't get rid of $\alpha$  in the last row of reduced augmented matrix..

One small doubt--    $|A|=0$  is this the only significance of giving 2nd and 3rd column are linearly dependent?
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edited by
$Ax=b $$\implies x = A^{-1}b$

$A^{-1}$ would only exist if $|A| \neq 0$

so this means the system would have no solution or infinite solutions, if $|A|=0$
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@Parimal Paritosh You said that there are just 4 3x3 subsquare matrices by eliminating column 1, column 2, column 3, column 4 once respectively. But according to this source we need to consider only adjacent rows and columns for square sub matrices.

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14 votes
14 votes

Given system of equations is in form AX=B.

For infinitely many solutions here, effectively we have only two variables i.e. w=(y-4z). but they should be consistent i.e. rank(A)=rank(AB)<3(no. of variables)

 Since column2 and column3 are dependent so make column3 all zero. So we got rank(A)=2

Now for the augmented matrix, AB put all zero column at last because it's of no use it will give 0 determinant value of all 3*3 submatrices.

After excluding that dependent column, we got a 3*3 matrix, solving it gives alpha= .2 this is single value.

Or see the image below

Option B ...

Note: The row rank and the column rank of a matrix A are equal. Here column rank is easy to find for A. And then for AB we must get rank 2 for having infinite solutions. 

P.S. -- Ignore that "3 equation and 2 variable" in the image.

edited by

4 Comments

This answer is as per the information given in the question.
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R u using cammer's rule ?? is there any procedure to say system is inconsistent by using determinant ??
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If you have two dependent equations, then for both the equations, we should not get different RHS constant values. To satisfy this, if rank(A)<n, then rank(AB)<n.
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Sir, i am also using writometer pen.
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6 votes
6 votes

For infinitely many solution we've to check this condition, rank(A) = rank(A|B) < n, where n is the unknown variable.

Now make the given matrix(augmented) into echleon form by Gauss-elimination method.

$\begin{bmatrix} 2 &1 &-4 &\alpha \\ 4 &3 &-12 &5 \\ 1 &2 &-8 &7 \end{bmatrix}$      R2 = r2 - 2r1

$\begin{bmatrix} 2 &1 &-4 &\alpha \\ 0 &1 &-4 &5-2\alpha \\ 1 &2 &-8 &7 \end{bmatrix}$        r3 = 2r3 -r1

$\begin{bmatrix} 2 &1 &-4 &\alpha \\ 0 &1 &-4 &5-2\alpha \\ 0 &3 &-12 &14 - \alpha \end{bmatrix}$     r3 = 3r2 - r3

$\begin{bmatrix} 2 &1 &-4 &\alpha \\ 0 &1 &-4 &5-2\alpha \\ 0 &0 &0 &1 - 5\alpha \end{bmatrix}$

Now to satisfy the above written condition for infinite solution 1 - 5$\alpha$ = 0 i.e  $\alpha$ = $\frac{1}{5}$

1 comment

Forgot to mention answer B  😀
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0 votes
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​​​​​​(b) ​1 value of alpha is only there . 

 

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