Is it possible to find matrix A satisfying certain conditions?

In summary, the conversation discusses the possibility of finding a matrix A, and two vectors b and c, such that Ax = b has no solution and ##A^T## y = c has exactly one solution. It is determined that this is not possible because rank (A) < m and rank (##A^T##) = m, and since rank (A) ##\neq## rank (##A^T##), matrix A cannot exist. This reasoning is considered valid.
  • #1
songoku
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Homework Statement
Is it possible to find A being a m by n matrix, and two vectors b and c, such that Ax = b has no solution and ##A^T## y = c has exactly one solution? Explain why.
Relevant Equations
Maybe Rank
Since Ax = b has no solution, this means rank (A) < m.

Since ##A^T y=c## has exactly one solution, this means rank (##A^T##) = m

Since rank (A) ##\neq## rank (##A^T##) so matrix A can not exist. Is this valid reasoning?

Thanks
 
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  • #2
songoku said:
Homework Statement: Is it possible to find A being a m by n matrix, and two vectors b and c, such that Ax = b has no solution and ##A^T## y = c has exactly one solution? Explain why.
Relevant Equations: Maybe Rank

Since Ax = b has no solution, this means rank (A) < m.

Since ##A^T y=c## has exactly one solution, this means rank (##A^T##) = m

Since rank (A) ##\neq## rank (##A^T##) so matrix A can not exist. Is this valid reasoning?

Thanks
Looks ok to me.
 
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Likes songoku
  • #3
Thank you very much fresh_42
 

1. Can a matrix A exist that satisfies a given set of conditions?

Yes, it is possible for a matrix A to exist that satisfies a given set of conditions. However, the existence of such a matrix depends on the specific conditions that are being imposed.

2. What are the common conditions that a matrix A needs to satisfy?

Some common conditions that a matrix A may need to satisfy include being square, invertible, symmetric, or having certain eigenvalues or eigenvectors.

3. Is there a unique solution for finding a matrix A that satisfies given conditions?

Not necessarily. Depending on the given conditions, there may be multiple matrices that satisfy them. However, in some cases, there may be a unique solution.

4. How can I determine if a matrix A satisfies a specific condition?

This will depend on the specific condition in question. Some conditions can be checked by performing operations on the matrix, such as finding its determinant or eigenvalues. Others may require a more involved approach, such as using linear algebra techniques or software.

5. Is it always possible to find a matrix A that satisfies a given set of conditions?

No, it is not always possible to find a matrix A that satisfies a given set of conditions. Some conditions may be too restrictive or contradictory, making it impossible for any matrix to satisfy them.

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