## How do you show that two matrices are similar?

Definition (Similar Matrices) Suppose A and B are two square matrices of size n . Then A and B are similar if there exists a nonsingular matrix of size n , S , such that A=S−1BS A = S − 1 B S .

## Can a diagonalizable matrix have same eigenvalues?

A matrix with repeated eigenvalues can be diagonalized. Just think of the identity matrix. All of its eigenvalues are equal to one, yet there exists a basis (any basis) in which it is expressed as a diagonal matrix.

**What is the condition for a matrix to be diagonalizable?**

A linear map T: V → V with n = dim(V) is diagonalizable if it has n distinct eigenvalues, i.e. if its characteristic polynomial has n distinct roots in F. of F, then A is diagonalizable.

**Are diagonalizable matrices unique?**

So, the diagonal matrices that represent a linear transformation are not unique. But the diagonal matrices will be unique up to some permutation of the diagonal entries. Actually it is not unique.

### Does every matrix have a similar matrix?

For example, A is called diagonalizable if it is similar to a diagonal matrix. Not all matrices are diagonalizable, but at least over the complex numbers (or any algebraically closed field), every matrix is similar to a matrix in Jordan form.

### Does a diagonalizable matrix have to have n eigenvalues?

It’s not necessary for an n × n matrix to have n distinct eigenvalues in order to be diagonalizable. What matters is having n linearly independent eigenvectors. Two matrices with the same eigenvalues, with the same multiplicities, aren’t necessarily both diagonal- izable, or both not diagonalizable.

**Is the square of a diagonalizable matrix also diagonalizable?**

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}.

**Are all matrices diagonalizable over C?**

No, not every matrix over C is diagonalizable. Indeed, the standard example (0100) remains non-diagonalizable over the complex numbers. You’ve correctly argued that every n×n matrix over C has n eigenvalues counting multiplicity. In other words, the algebraic multiplicities of the eigenvalues add to n.

## Which matrices are similar?

Two square matrices are said to be similar if they represent the same linear operator under different bases. Two similar matrices have the same rank, trace, determinant and eigenvalues.

## How do you know if a matrix is diagonalizable?

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

**Is the matrix U – 1 C U {displaystyle U} diagonalizable?**

This matrix is not diagonalizable: there is no matrix U {displaystyle U} such that U − 1 C U {displaystyle U^{-1}CU} is a diagonal matrix. Indeed, C {displaystyle C} has one eigenvalue (namely zero) and this eigenvalue has algebraic multiplicity 2 and geometric multiplicity 1.

**What is the first theorem about diagonalizable matrices?**

The first theorem about diagonalizable matrices shows that a large class of matrices is automatically diagonalizable. A A is diagonalizable. be these eigenvalues. Then λ j. . 1 ≤ i ≤ n. 1 \\le i \\le n. 1 ≤ i ≤ n. Then the key fact is that the are linearly independent. To see this, let are linearly independent. If a i. .

### Is a rotation matrix diagonalizable over the complex field?

In general, a rotation matrix is not diagonalizable over the reals, but all rotation matrices are diagonalizable over the complex field.