An Eigenvector is also known as characteristic vector. In linear algebra the characteristic vector of a square matrix is a vector which does not change its direction under the associated linear transformation. Eigenvalues are also known as characteristic roots, characteristic values, proper values, or latent roots. It is a special set of scalars which is associated with a linear system of matrix equations. This calculator helps you to find the eigen value and eigen vector of a 2x2 matrices.
An Eigenvector is also known as characteristic vector. In linear algebra the characteristic vector of a square matrix is a vector which does not change its direction under the associated linear transformation. Eigenvalues are also known as characteristic roots, characteristic values, proper values, or latent roots. It is a special set of scalars which is associated with a linear system of matrix equations. This calculator helps you to find the eigen value and eigen vector of a 2x2 matrices.
All eigenvalues and eigenvectors satisfy the equation Ax = λx for a given square matrix A, where, λ is a number, also called a scalar.