Proving Singularity of Matrix B with Added Column Ab

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In summary, the problem asks to show that a matrix B, formed by adding a new column to an (nx(n-1)) matrix A, is always singular. The given information suggests using the fact that a singular matrix has linearly dependent columns. By construction, the added column in B is always a linear combination of the first n-1 columns in A, making B a singular matrix.
  • #1
EV33
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1. Homework Statement
Let A = [A1,...,An-1] be an (nx(n-1)) matrix. Show that B = [A1,...,An-1,Ab] is singular for every choice of b in R^n-1.



2. Homework Equations
Ax = 0



3. The Attempt at a Solution
I know that if B is singular that means that for the equation Bx = 0 there exists another solution another than the trivial solution (x = 0). Now if we made B have all the same columns as A except added a new column Ab, that would make B a square matrix that is (nxn). But from there, I can't figure out how to use the information I know to solve the problem...
 
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  • #2
If a matrix is singular, then its columns are linearly dependent. Any ideas?
 
  • #3
Ab=[A1b A2b ... An-1b]^T so by construction the column Ab is a linear combination of the first n-1 column vectors, regardless of what the vector b actually is. Hence detB=0
 
  • #4
radou isn't that only true if the matrix is two by two?


And Matthollywood I am not sure what you are saying, could you please reword what you said.

Thank you.
 

FAQ: Proving Singularity of Matrix B with Added Column Ab

What is the definition of a singular matrix?

A singular matrix is a square matrix with a determinant of zero, indicating that it is not invertible and does not have a unique solution to the system of equations represented by the matrix.

How do you prove the singularity of a matrix?

To prove the singularity of a matrix, you can calculate the determinant of the matrix. If the determinant is equal to zero, then the matrix is singular.

What is the significance of adding a column to a matrix when proving its singularity?

Adding a column to a matrix can change its determinant and potentially make it singular. Therefore, when proving the singularity of a matrix, it is important to consider the impact of adding a column and how it affects the determinant.

What is the role of the added column Ab in proving the singularity of matrix B?

The added column Ab is a way to introduce a new variable into the matrix, which can affect the determinant and potentially make it singular. It allows for a more comprehensive test of the matrix's singularity.

Can a matrix be singular without having a zero determinant?

No, a matrix must have a determinant of zero to be considered singular. However, a matrix with a very small determinant may be considered practically singular, meaning it is close to being singular but not exactly zero.

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