Sum A+cB of invertible matrices noninvertible?

In summary, given two invertible square matrices of the same size with complex entries, it is possible to find a complex scalar c such that when added to one of the matrices, the resulting matrix is non-invertible. This can be proven by constructing c using the hint that a non-invertible matrix has at least one zero eigenvalue.
  • #1
Grothard
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If A and B are both invertible square matrices of the same size with complex entries, there exists a complex scalar c such that A+cB is noninvertible.

I know this to be true, but I can't prove it. I tried working with determinants, but a specific selection of c can only get rid of one entry in A+cB, which is not enough since the matrices do not have to be triangular. How would one go about proving this theorem?
 
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  • #2
Prove this theorem by construction. Hint: A non-invertible matrix has at least one zero eigenvalue.
 
  • #3
So c = (-λ_a_k)/(-λ_b_k), thanks!
 

FAQ: Sum A+cB of invertible matrices noninvertible?

What is the definition of a noninvertible matrix?

A noninvertible matrix, also known as a singular matrix, is a square matrix that does not have an inverse. This means that it cannot be multiplied by another matrix to produce the identity matrix.

How can you tell if a matrix is noninvertible?

A matrix is noninvertible if its determinant is equal to 0. This means that there is no solution to the equation Ax = b, where A is the noninvertible matrix and b is a vector of constants. In other words, the columns of a noninvertible matrix are linearly dependent.

What is the significance of a noninvertible matrix in linear algebra?

A noninvertible matrix has no inverse, which means that it cannot be used to solve certain systems of linear equations. It also has no eigenvalues, and therefore no eigenvectors. This can make it difficult to analyze and manipulate in linear algebra calculations.

Can a sum of invertible matrices be noninvertible?

Yes, a sum of invertible matrices can result in a noninvertible matrix. This can happen if the matrices do not have the same size or if their sum is not invertible.

How can we handle the presence of noninvertible matrices in calculations?

There are a few ways to handle noninvertible matrices in calculations. One approach is to remove the noninvertible matrix from the calculation entirely. Another option is to use a pseudoinverse, which is a generalization of the inverse for noninvertible matrices. Additionally, numerical methods can be used to approximate the inverse of a noninvertible matrix.

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