Table of Contents

## How do you find the eigenvalues of a singular matrix?

A matrix with a 0 eigenvalue is singular, and every singular matrix has a 0 eigenvalue. If we can find the eigenvalues of A accurately, then det A = Πi = 1nλi. If we happen to need the determinant, this result can be useful.

**How do you Diagonalize a singular matrix?**

According to a theorem, an n×n matrix is diagonalizable if it has n independent eigenvectors. Let’s say, the matrix has 1 row with only zeros (worst singular case). As it has one row with only zeros, it will zero out the corresponding row of any vector it is multiplied by.

### Is a singular matrix defective?

A matrix A has 0 as one of its eigenvalues if and only if it is singular. Definition of a defective matrix: a matrix A is defective if A has at least one eigenvalue whose geometric mult. is strictly less than its algebraic mult. i.e., there is an eigenvalue λ with geom.

**Is singular values same as eigenvalues?**

Eigenvectors and singular vectors are them same if A is a real symmetric matrix (so AH=A). Singular values of the SVD decomposition of the matrix A is the square root of the eigenvalues of the matrix (A multiplied by AT) or (AT multiplied by A), the two are identical with positive eigenvalues.

#### FOR WHAT U and V is a singular if it is singular what is null a )?

For what u and v is A singular? If it is singular, what is null(A)? Proof. If A is nonsingular, then (I + uv∗)(I + αuv∗) = I.

**Is it possible to Diagonalize a matrix?**

Let A be an n×n matrix and suppose it has n distinct eigenvalues. Then it follows that A is diagonalizable. It is possible that a matrix A cannot be diagonalized.

## What is the diagonalization of a matrix write down some criteria that determine the Diagonalizability of a matrix?

A square matrix is said to be diagonalizable if it is similar to a diagonal matrix. That is, A is diagonalizable if there is an invertible matrix P and a diagonal matrix D such that. A=PDP^{-1}. A=PDP−1.

**How do you know if a matrix is defective?**

In linear algebra, a defective matrix is a square matrix that does not have a complete basis of eigenvectors, and is therefore not diagonalizable. In particular, an n × n matrix is defective if and only if it does not have n linearly independent eigenvectors.