The complex eigenvalues are eigenvalues that are involved with complex numbers. To understand the complex eigenvalues, you need to have a clear understanding of eigenvalues and eigenvectors.

## Eigenvalue, Eigenvector and Eigenfuction

** The eigenvector** of a square matrix is a vector that does not change its direction under associated linear transformation. If y V is a vector, not zero, then it is an eigenvector of a square matrix. A if Av is a scalar multiple of v.

This is written as,

AV = λv

This is known as the typical eigenvalue equation.

**The eigenvalue** is the scaler λ which is associated with Eigenvector v. To find the eigenvalues, we need to determine the roots of the characteristic equation.

|A- λI| = 0

**Eigenfunction** of the operator is the set of functions that produces the same function modified and only multiplied by a constant factor.

## Complex Eigenvalues (Eigenvalues of a Complex Matrix)

To find the complex eigenvalue λ, we can use the relation below.

det(A-λI_{n}) = 0

So, first, we find the A-λI_{n }and then we find its determinant and solve for eigenvalue λ.

## Solved Example Problem

Find the eigenvalues of A ∈ Mn×n(ℂ)

We need to come to the *det(A-λI _{2}) = 0* relationship.

Since* det(A-λI _{2}) = 0,*

By solving the above equation, we can get the complex eigenvalue of A.