Elemetary matrices proof problem PLS help

In summary, if Ax=0 has many solutions, then it can be said that the number of solutions to Ax=b is substantial.
  • #1
jmcasall
5
0
If A is an n x n matrix and Ax = 0 has many solutions, then

which ones are true??


A. Ax = b has either no solutions or many solutions
B. Ax = b has a unique solution for some b
C. Ax = b has many solutions for any b
D. Ax = b has no solutions for some b

or are all of the above false??

thanks
 
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  • #2
Think about what it means for Ax = 0 to have many solutions. If the 0's in the augmented matrix of linear equations were changed to some constants, would that change how A reduces?
 
  • #3
Unfortunately, I don't know what you have to work with. If Ax= 0 has more than one solution, then the kernel of A is non-trivial and has non-zero dimension. That, in turn, means that the image of A is not all of Rn.

Note also that is Ax= b and v is in the kernel of A, A(x+ v)= Ax+ Av= b+ 0= b.
 
  • #4
well this is what i kinda know

Ax=0
if you solve for x then x=0,
which will make A invertible
So, what does that say about Ax=B
 
  • #5
jmcasall said:
well this is what i kinda know

Ax=0
if you solve for x then x=0,
which will make A invertible
So, what does that say about Ax=B

If x= 0 is the only solution to Ax= 0, then A is invertible. If A has an inverse, how would you solve Ax= B?

However, that is completely irrelevant to your question since the question specifically says that A has MORE than one solution.

I can only repeat: if v is any vector such that Av= 0, and x is a solution to Ax= b, then A(x+ v)= Ax+ Av= Ax+ 0= Ax= b. If there are many solutions to Ax= 0, what does that tell you about the number of solutions to Ax=b?
 

1. What is an elementary matrix?

An elementary matrix is a square matrix that is obtained by performing a single elementary row operation on the identity matrix. These operations include swapping two rows, multiplying a row by a nonzero scalar, and adding a multiple of one row to another row.

2. What is the purpose of using elementary matrices in proofs?

Elementary matrices are useful in proofs because they can be used to transform one matrix into another matrix without changing the solution set of a system of linear equations. This allows for easier manipulation and simplification of matrices in proofs.

3. How do you prove that an elementary matrix is invertible?

An elementary matrix is invertible if and only if its corresponding elementary row operation is reversible. For example, if the elementary matrix is obtained by multiplying a row by a nonzero scalar, then the inverse of that elementary matrix is obtained by multiplying the same row by the reciprocal of that scalar. This can be applied to all types of elementary row operations.

4. Can elementary matrices be used to solve systems of linear equations?

Yes, elementary matrices can be used to solve systems of linear equations. They can be used to perform row operations on the augmented matrix of a system, which ultimately leads to a simpler and more easily solvable system. However, elementary matrices are not the most efficient method for solving systems of equations and are typically only used in proofs.

5. Are there any special properties of elementary matrices?

One important property of elementary matrices is that they are always invertible. This means that the inverse of an elementary matrix is also an elementary matrix. Additionally, the product of two elementary matrices is also an elementary matrix. These properties make elementary matrices useful in proofs and matrix operations.

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