Solving AX=B when A is not invertible

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When solving the equation AX=B with a non-invertible matrix A, the augmented matrix approach will reveal zero rows, indicating free variables and non-unique solutions. The rank of the matrix, which reflects the number of linearly independent rows or columns, plays a crucial role in determining the solution's nature. If the right-hand side vector B aligns with the row space of A, the system may have infinitely many solutions; otherwise, it may have no solutions. The existence of zero rows suggests that the solution set forms a sub-space known as the "null space" of A. Understanding these concepts is essential for effectively addressing such linear systems.
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Homework Statement


This is what I've just been tested and I didn't know what to do :( Sorry I can't remember what the question is since the question paper was collected after the test.

Homework Equations





The Attempt at a Solution


When A is invertible just set up the augmented matrix (A|B) and perform eros until we get the identity matrix on the LHS and X is what's on the RHS. What if A is not invertible?
 
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What do you think will happen if you set up the augmented matrix and try the same algorithm?
 
voko said:
What do you think will happen if you set up the augmented matrix and try the same algorithm?

The LHS is not the identity matrix and X is not unique?
 
Non-identity does not mean much. What will it really look like? Try this system:

1 2 3 | 1
1 2 3 | 1
4 5 6 | 0
 
Subtracting R1 from R2 and 4R1 from R3:

\left( {\left. {\begin{array}{*{20}{c}}<br /> 1 &amp; 2 &amp; 3 \\<br /> 0 &amp; 0 &amp; 0 \\<br /> 0 &amp; { - 3} &amp; { - 6} \\<br /> \end{array}} \right|\begin{array}{*{20}{c}}<br /> 1 \\<br /> 0 \\<br /> { - 4} \\<br /> \end{array}} \right)You mean it has a zero row?
 
Yes, the matrix will have one or more zero rows. Their number will depend on the rank of the matrix. How would you solve that?

Now there is one important observation. If B was not (1, 1, 0), but, for example, (1, 0, 1), would you be able to solve that?
 
voko said:
Yes, the matrix will have one or more zero rows. Their number will depend on the rank of the matrix. How would you solve that?
Err, what is the rank of a matrix?

Now there is one important observation. If B was not (1, 1, 0), but, for example, (1, 0, 1), would you be able to solve that?
Nope, since there is a row (0 0 0|1).
 
drawar said:
Err, what is the rank of a matrix?

The number of linearly independent rows or columns.
 
voko said:
The number of linearly independent rows or columns.

Thanks but can this problem be solved without knowledge of linear independence and rank of matrix?
 
  • #10
You don't need the rank to solve. Just continue solving the example.
 
  • #11
Oh my goodness! If only I had realized it earlier...
The problem actually asked us to solve the system of linear equations. Since there exists zero rows, there are free variables in the solution and hence the solution is not unique.
 
  • #12
drawar said:
Oh my goodness! If only I had realized it earlier...
The problem actually asked us to solve the system of linear equations. Since there exists zero rows, there are free variables in the solution and hence the solution is not unique.

Only if B is suitable. Otherwise, no solutions.
 
  • #13
If A is not invertible, then there are two possibilities for the equation Ax= B:
1) There are an infinite number of solutions.
2) There is no solution.

The equation Ax= 0 always has x= 0 as solution. If A is not invertible, then there exist an infinite number of solutions. In fact, the set of solutions is a sub-space, called the "null space" of A.

If Ax= B has a solution, and A is invertible, then every solution can be written as that solution plus some vector in the null space of A.
 

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