How to Find Eigenvalues of a Matrix

The eigenvalues of a matrix are the roots that solve the characteristic polynomial, which is the algebraic formula of a square matrix. Eigenvalues can predict the behavior that the matrix will have on inputs and can help define the stability of the system. Finding the eigenvalues of a matrix helps to analyze the matrix and compacts that analysis into an easily translatable and transferable form.

Instructions

    • 1

      Multiply the 2x2 Identity Matrix by a variable. The identity matrix is a matrix that when multiplied another matrix will yield the second matrix unaltered. A 2x2 Identity Matrix is as follows:

      | 1 0 |

      | 0 1 |

      multiplying a variable, for this example x, will yield

      | x 0 |

      | 0 x |

    • 2

      Subtract the altered Identity Matrix from the matrix from which you are seeking the eigenvalues. For this example, the matrix is

      | 2 1 |

      | 6 1 |

      so subtracting the altered Identity Matrix would yield

      | 2 1 | | x 0 | | 2-x 1 |

      | 6 1 | - | 0 x | = | 6 1-x|

    • 3

      Cross-multiply the numbers of the matrix. Subtract the product of the first and fourth terms by the product of the second and third terms to obtain the matrix's characteristic equation. For the example, cross-multiplying the numbers and subtracting the terms yields

      ( 2-x ) ( 1-x) - 6 = x^2 - 3x - 4

    • 4

      Make the equation equal 0 and solve for x. For the example,

      x^2 -3x - 4 = 0 equals

      ( x+1 ) ( x-4) = 0 and x = -1 and 4. So the eigenvalues of the matrix are -1 and 4.

Learnify Hub © www.0685.com All Rights Reserved