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Eigensolution of a 2x2 Matrix The eigenvectors and eigenvalues of a 2x2 matrix can be easily calculated in closed form. Using the standard eigensolution formula: Where is a square matrix, is an eigenvector of and is the eigenvalue associated with eigenvector . For the 2x2 case, the eigensolution formula is expanded as: [ ][ ] [ ][ ] The eigenvalues of the system are calculated by rearranging the equation into homogeneous form: ( ) or [ ][ ] For this to hold true, the determinant of [ ] must be equal to zero. ( ) Solving the determinant of gives: The determinant equation can then be rearranged into a polynomial of ( ) The roots of the ( ) ( ) polynomial are then solved for using the quadratic formula. √ Where: The values of are the eigenvalues of the system. If the quadratic formula discriminant, √ , is positive, the matrix will have two distinct, real roots. If the discriminant is 0, the system has 1 real root. If the discriminant is negative, the system will have two complex roots. The eigenvalues are then plugged back into the eigensolution formula. [ ][ ] [ ] This equation cannot be solved for a distinct value since it reduces to a homogeneous system. Instead, the relationship of to is calculated. Expanding the matrix form into equation form: Using the top equation, the value of The corresponding value of is replaced with 1 (for simplicity). is therefore: ( ) These values are then unitized to create the normalized eigenvector √ √ Property of ahinson.com – Last Updated December 2, 2011