9.12.1. Theorem 9.10. The Cayley- Hamilton theorem shows that for an n n matrix A, all integral powers of A can be written as a linear combination of Ak , where k 0,1, , n 1 . Consequently, we can write n 1 etA qk t Ak (9.27) k 0 where the qk’s are scalar functions. Starting from this, E. J. Putzer developed 2 useful methods for expressing e tA as a polynomial in A. The simpler one is as follows. Theorem 9.10. Let A be an n n matrix with eigenvalues 1 , , n . Define a sequence of polynomials in A by P0 A I k Pk A A m I and for k 1,2, ,n m 1 Then we have n 1 etA rk 1 t Pk A (9.29) k 0 where the scalar coefficients rk are determined recursively from the following triangular system of linear 1st order differential equations: r1 t 1r1 t r1 0 1 rk1 t k 1rk 1 t rk t rk 1 0 0 for k 1,2, ,n 1 (9.30) Proof Let r t k be the set of scalar functions determined by (9.30). Define n 1 F t rk 1 t Pk A (9.31) k 0 where the Pk’s are given by (9.28). By the uniqueness theorem, we can prove F t etA ( and hence the theorem ) by showing that F satisfies the same initial problem as e tA , namely F t AF t with F 0 I To begin, we set t 0 in (9.31), and by means of (9.30) and (9.28), we get F 0 r1 0 P0 A I Hence, the initial condition is satisfied. Next, taking the derivative of (9.31) gives n 1 F t rk1 t Pk A k 0 n 1 1r1 t P1 A k 1rk 1 t rk t Pk A [ (9.30) used ] k 1 n 1 k 1rk 1 t rk t Pk A [ r0 t 0 ] k 0 n 1 n 1 k 1 k 0 rk t Pk A k 1rk 1 t Pk A n 2 n 1 k 0 k 0 rk 1 t Pk 1 A k 1rk 1 t Pk A Subtracting from this n 1 n F t n rk 1 t Pk A k 0 gives n 2 n 2 k 0 k 0 F t n F t rk 1 t Pk 1 A k 1 n rk 1 t Pk A n 2 rk 1 t Pk 1 A k 1 n Pk A (9.32) k 0 Now, from (9.28), we see that Pk 1 A A k 1I Pk A so that Pk 1 A k 1 n Pk A A n I Pk A Therefore, (9.32) becomes n 2 F t n F t A n I rk 1 t Pk A k 0 A n I F t rn t Pn 1 A [ (9.31) used ] A n I F t rn t Pn A [ (9.28) used ] A n I F t F t AF t QED. [ Cayley- Hamilton theorem used ]