Table of Contents

## Can similar matrices have same eigenvalues?

If two matrices are similar, they have the same eigenvalues and the same number of independent eigenvectors (but probably not the same eigenvectors). When we diagonalize A, we’re finding a diagonal matrix A that is similar to A.

**Can a matrix have repeated 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.

**How do you prove matrices are similar?**

Proof. If A and B are similar, then B = P–1AP. Since all the matrices are invertible, we can take the inverse of both sides: B–1 = (P–1AP)–1 = P–1A–1(P–1)–1 = P–1A–1P, so A–1 and B–1 are similar. If A and B are similar, so are Ak and Bk for any k = 1, 2, .

### Are similar matrices diagonalizable?

1. We say that two square matrices A and B are similar provided there exists an invertible matrix P so that . 2. We say a matrix A is diagonalizable if it is similar to a diagonal matrix.

**Can two eigenvectors have the same eigenvalue?**

It has only one eigenvalue, namely 1. However both e1=(1,0) and e2=(0,1) are eigenvectors of this matrix. If b=0, there are 2 different eigenvectors for same eigenvalue a. If b≠0, then there is only one eigenvector for eigenvalue a.

**What do repeated eigenvalues mean?**

We say an eigenvalue A1 of A is repeated if it is a multiple root of the char acteristic equation of A; in our case, as this is a quadratic equation, the only possible case is when A1 is a double real root. We need to find two linearly independent solutions to the system (1). We can get one solution in the usual way.

## Can a matrix with one eigenvalues be diagonalizable?

Yes, it is possible for a matrix to be diagonalizable and to have only one eigenvalue; as you suggested, the identity matrix is proof of that.

**Are all similar matrices diagonalizable?**

Also, if two matrices have the same distinct eigen values then they are similar. Suppose A and B have the same distinct eigenvalues. Then they are both diagonalizable with the same diagonal 2 Page 3 matrix A. So, both A and B are similar to A, and therefore A is similar to B.

**Are similar matrices symmetric?**

Because equal matrices have equal dimensions, only square matrices can be symmetric. and. Every square diagonal matrix is symmetric, since all off-diagonal elements are zero. Similarly in characteristic different from 2, each diagonal element of a skew-symmetric matrix must be zero, since each is its own negative.

### Are all symmetric matrices diagonalizable?

Real symmetric matrices not only have real eigenvalues, they are always diagonalizable. In fact, more can be said about the diagonalization.

**Are matrices with repeated eigenvalues Diagonalizable?**

**What makes two matrices similar?**

In linear algebra, two n-by-n matrices A and B are called similar if there exists an invertible n-by-n matrix P such that. Similar matrices represent the same linear operator under two (possibly) different bases, with P being the change of basis matrix.

## What are similar matrices?

A similarity matrix is a matrix of scores which express the similarity between two data points. Similarity matrices are strongly related to their counterparts, distance matrices and substitution matrices.

**Can two matrices be equal?**

Two matrices are equal if they have the same dimension or order and the corresponding elements are identical. Matrices P and Q are equal. Matrices A and B are not equal because their dimensions or order is different.

**What is a similarity matrix?**

Similarity Matrix. A similarity matrix, also known as a distance matrix, will allow you to understand how similar or far apart each pair of items is from the participants’ perspective.