Title | Chapter 7 - Cayley-Hamilton Theorem |
---|---|
Author | Jonathan Merritt |
Course | Linear Algebra and Numerical Linear Algebra 2 |
Institution | University of Chester |
Pages | 9 |
File Size | 116.6 KB |
File Type | |
Total Downloads | 88 |
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Linear Algebra...
Chapter 7 Cayley-Hamilton Theorem 3 1 0 Example 7.1 Let A = 5 0 −1 . Does A satisfy any particular identity? 2 0 1
Solution. Consider A − λI. Clearly 3−λ 1 0 −λ −1 A − λI = 5 2 0 1−λ
and |A − λI| = −λ3 + 4λ2 + 2λ − 7.
Let B = A − λI and let C be the matrix of co-factors of B. Then λ2 − λ λ−1 −1 B ∗ = C T = 5 λ − 7 3 − 4 λ + λ2 3−λ 2 2λ 2 λ − 3λ − 5 2 λ 0 0 −λ λ 0 0 −1 −1 3 = 0 λ2 0 + 5λ −4λ −λ + −7 3 2 0 0 λ 2λ 0 −3λ 0 2 −5 0 −1 −1 −1 1 0 1 0 0 = λ2 0 1 0 + λ 5 −4 −1 + −7 3 3 0 2 −5 2 0 −3 0 0 1
= λ2 M2 + λM1 + M0 1 0 0 −1 1 0 0 −1 −1 3 . where M2 = 0 1 0 , M1 = 5 −4 −1 and M0 = −7 3 0 0 1 2 0 −3 0 2 −5 Now • BB ∗ = |B| · I =⇒ BB ∗ = |B| · I = (−λ3 + 4λ2 + 2λ − 7)I and • BB ∗ = (A − λI)B ∗ = (A − λI )(λ2 M2 + λM1 + M0 ). 77
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CHAPTER 7. CAYLEY-HAMILTON THEOREM Therefore (−λ3 + 4λ2 + 2λ − 7)I = (A − λI )(λ2 M2 + λM1 + M0 ) −λ3 I + 4λ2 I + 2λI − 7I = A(λ2 M2 + λM1 + M0 ) − λ(λ2 M2 + λM1 + M0 ) −λ3 I + 4λ2 I + 2λI − 7I = λ2 AM2 + λAM1 + AM0 − λ3 M2 − λ2 M1 − λM0 Equating coefficients, we obtain −I = −M2 4I = AM2 − M1 2I = AM1 − M0 −7I = AM0 .
Now if we multiply the first equation by A3 , the second by A2 , the third by A1 and the last by A0 = I, we obtain −A3 = −A3 M2 4A2 = A3 M2 − A2 M1 2A = A2 M1 − AM0 −7I = AM0 . Adding these equations, we obtain the following identity: −A3 + 4A2 + 2A − 7I = 0. Clearly we can see that A satisfies it’s own characteristic equation.
♣
Theorem 7.2 (Cayley-Hamilton Theorem) Every square matrix satisfies it’s own characteristic equation. Let A be an n × n matrix and let p(λ) = |A − λI| =
n X
pi λi be the characteristic equation of A.
i=0
The Cayley-Hamilton Theorem states that p(A) = 0, i.e.
n X
pi Ai = 0
i=0
2
n−1
p0 + p1 A + p2 A + · · · + pn−1 A Proof. Let p(λ) =
n X
+ pn An = 0.
pi λi denote the characteristic polynomial of an n × n matrix A. Let
i=0
B = A − λI. Clearly
p(λ) = |A − λI | = |B|.
CHAPTER 7. CAYLEY-HAMILTON THEOREM
79
Clearly, B is an n × n matrix having first degree polynomial in λ for it’s diagonal elements and scalar elsewhere. It follows that every entry of B ∗ will contain polynomials (in λ) of degree less than or equal to n − 1. Therefore, B ∗ = λn−1 Mn−1 + λn−2 Mn−2 + · · · + λM1 + M0 where M0 , M1 , · · · , Mn−1 are all scalar matrices. Clearly BB ∗ = |B| · I. Therefore, BB ∗ = |B| · I =⇒ BB ∗ = p(λ) · I and BB ∗ = BB ∗ = (A − λI )B ∗ = (A − λI )(λn−1 Mn−1 + λn−2 Mn−2 + · · · + λM1 + M0 ). Thus,
n X i=0
p(λ) · I = (A − λI )(λn−1 Mn−1 + λn−2 Mn−2 + · · · + λM1 + M0 ) !
pi λi
· I = A(λn−1 Mn−1 + λn−2 Mn−2 + · · · + λM1 + M0 ) − λ(λn−1 Mn−1 + λn−2 Mn−2 + · · · + λM1 + M0 )
p0 I + p1 λI + p2 λ2 I + · · · + pn−1 λn−1 I + pn λn I = AMn−1 λn−1 + AMn−2 λn−2 + · · · + AM1 λ + AM0 − Mn−1 λn − Mn−2 λn−1 − · · · − M1 λ2 − λM0 . Equating coefficients, we obtain pn I = −Mn−1 pn−1 I = AMn−1 − Mn−2 pn−2 I = AMn−2 − Mn−3 .. . p1 I = AM1 − M0 p0 I = AM0 . If we multiply the first equation by An , the second equation by An−1 and so on, we obtain pn An = −An Mn−1 pn−1 An−1 = An Mn−1 − An−1 Mn−2 pn−2 An−2 = An−2 Mn−2 − An−2 Mn−3 .. . p1 A = A2 M1 − AM0 p0 = AM0 .
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CHAPTER 7. CAYLEY-HAMILTON THEOREM If we add these equations, clearly p0 + p1 A + · · · + pn−2 An−2 + pn−1 An−1 + pn An = 0.
Example 7.3 Verify the Cayley-Hamilton theorem for A =
3 5 . −2 −4
3−λ 5 Solution. Now A − λ = and |A − λ| = λ2 + λ − 2. Therefore we need to show −2 −4 − λ that A2 + A − 2I = 0 to verify the Cayley-Hamilton theorem. Therefore 2 3 5 3 5 1 A + A − 2I = + −2 −2 −4 0 −2 −4 −1 −5 3 5 1 = + −2 2 6 0 −2 −4 −1 + 3 − 2 −5 + 5 + 0 = 2−2−0 6−4−2 0 0 . = 0 0 2
0 1 0 1
♣
Example 7.4 Verify the Cayley-Hamilton theorem for A =
3 4 . −5 −5
3−λ 4 Solution. Now A − λ = and |A − λ| = λ2 + 2λ + 5. Therefore we need to show −5 −5 − λ that A2 + 2A + 5I = 0 to verify the Cayley-Hamilton theorem. Therefore 2 1 0 3 4 3 4 2 + 5 A + 2A + 5I = + −5 −5 −5 −5 0 1 6 8 5 0 −11 −8 + + = 10 5 −10 −10 0 5 0 0 = . 0 0 ♣
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CHAPTER 7. CAYLEY-HAMILTON THEOREM Corollary 7.5 Let A be an n × n matrix and let p(λ) = |A − λI| =
n X
pi λi be the characteristic
i=0
equation of A. The A
−1
" n # 1 X i−1 =− pi A p0 i=1
Proof. Let A be an n × n matrix and let p(λ) = |A − λI| =
n X
pi λi be the characteristic equation
i=0
of A. By the Cayley-Hamilton theorem,
n X
pi Ai = 0
i=0
p0 + p1 A + p2 A2 + · · · + pn−1 An−1 + pn An = 0. Now if we pre-multiply both sides by A−1 , then A−1 (p0 + p1 A + p2 A2 + · · · + pn−1 An−1 + pn An ) = 0 p0 A−1 + p1 I + p2 A + · · · + pn−1 An−2 + pn An−1 = 0 p0 A−1 = −1(p1 I + p2 A + · · · + pn−1 An−2 + pn An−1 ) 1 A−1 = − (p1 I + p2 A + · · · + pn−1 An−2 + pn An−1 ) p0 # " n 1 X i−1 =− pi A . p0 i=1 1 4 Example 7.6 Use the Cayley-Hamilton theorem to calculate the inverse of A = . 2 3 1−λ 4 Solution. A − λ = and 2 3−λ |A − λ| = (1 − λ)(3 − λ) − (4)(2) = λ2 − 4λ − 5. By the Cayley-Hamilton theorem, A satisfies: A2 − 4A − 5I = 0. Therefore A−1 (A2 − 4A − 5I) = 0 A − 4I − 5A−1 = 0
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CHAPTER 7. CAYLEY-HAMILTON THEOREM 5A−1 = A − 4I 1 A−1 = {A − 4I } 5 1 4 0 1 4 = − 2 3 0 4 5 1 −3 4 = . 5 2 −1
♣
3 −2 −1 Example 7.7 Let A = 2 3 4 . Use the Cayley-Hamilton theorem to calculate A−1 and −2 0 5 A4 . 3 − λ −2 −1 Solution. Clearly A − λI = 2 3−λ 4 and −2 0 5−λ 2 3 − λ 2 3 − λ 4 4 − 1 − (−2) |A − λI| = (3 − λ) −2 0 −2 5 − λ 0 5 − λ = (3 − λ)[(3 − λ)(5 − λ) − 0] + 2[10 − 2λ + 8] − 1[0 + 2(3 − λ)] = (3 − λ)(3 − λ)(5 − λ) + 2[18 − 2λ] − 2(3 − λ) = (9 − 6λ + λ2 )(5 − λ) + 2[18 − 2λ] − 2(3 − λ) = 45 − 9λ − 30λ + 6λ2 + 5λ2 − λ3 + 36 − 4λ − 6 + 2λ = −λ3 + 11λ2 − 41λ + 75. By the Cayley-Hamilton theorem, A satisfies: −A3 + 11A2 − 41A + 75I = 0. Therefore A−1 (−A3 + 11A2 − 41A + 75I) = 0 −A2 + 11A − 41I + 75A−1 = 0 75A−1 = A2 − 11A + 41I 1 2 A − 11A + 41I 75 2 3 −2 −1 3 1 2 3 4 − 11 2 = 75 −2 0 5 −2 7 −12 −16 −33 1 4 5 30 + −22 = 75 −16 −4 −27 22 15 10 −5 1 = −18 13 −14 . 75 6 4 13
A−1 =
−2 −1 41 0 3 4 + 0 41 0 5 0 0 22 11 41 −33 −44 + 0 0 −55 0
0 0 41 0 0 41 0 0 41
CHAPTER 7. CAYLEY-HAMILTON THEOREM
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Also A(−A3 + 11A2 − 41A + 75I) = 0 −A4 + 11A3 − 41A2 + 75A = 0. Thus A4 = 11A3 − 41A2 + 75A 319 −550 −1485 −287 492 656 225 −150 −75 = −418 77 1826 + −164 −205 −1230 + 150 225 300 −1034 484 1837 656 −164 −1107 −150 0 375 257 −208 −904 896 = −432 97 −528 320 1105
♣
3 1 Example 7.8 Let A = . Use the Cayley-Hamilton theorem to find constants a and b 5 −2 such that: A3 = aA + bI. Solution. 3−λ 1 A−λ= and 5 −2 − λ |A − λ| = (3 − λ)(−2 − λ) − (5)(1) = λ2 − λ − 6 − 5 = λ2 − λ − 11. By the Cayley-Hamilton theorem, A satisfies: A2 − A − 11I = 0. Therefore A(A2 − A − 11I) = 0 A3 − A2 − 11A = 0 A3 = A2 + 11A A3 = A + 11I + 11A A3 = 12A + 11I. Therefore a = 12 and b = 11. ♣
CHAPTER 7. CAYLEY-HAMILTON THEOREM 3 2 Example 7.9 Let A =
−2
and c such that:
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−2 −1 3 4 . Use the Cayley-Hamilton theorem to find constants a, b 0
5
A4 = aA2 + bA + cI.
3 −2 −1 3 4 . Recall that the characteristic equation of A is p(λ) = Solution. Let A = 2 −2 0 5 −λ3 + 11λ2 − 41λ + 75. Therefore A3 = 11A2 − 41A + 75I and A4 = 11A3 − 41A2 + 75A = 11(11A2 − 41A + 75I) − 41A2 + 75A = 121A2 − 451A + 825I − 41A2 + 75A = 80A2 − 376A + 825I. Therefore a = 80, b = −376 and c = 825.
♣
2 4 . Use the Cayley-Hamilton Theorem to formulate An+2 . Example 7.10 Let A = 3 1 2 4 Solution. Let A = . |A − λI| = λ2 − 3λ − 10, By CH-Theorem A2 − 3A − 10I = 0. 3 1 Therefore A2 = 3A + 10 I A3 = 19A + 30 I A4 = 87A + 190 I A5 = 451A + 870 I .. . First, we solve yn+2 = 3yn+1 + 10yn for yn where y0 = 3 and y1 = 19. Recall that the solution of the difference equation ayn+2 + byn+1 + cyn = 0 is yn = A(m1 )n + B (m2 )n where m1 , m2 (m1 6= m2 ) are the solutions of the equation am2 + bm + c = 0. Now yn+2 = 3yn+1 + 10yn =⇒ yn+2 − 3yn+1 − 10yn = 0. Now m2 − 3m − 10 = 0 =⇒ (m − 5)(m + 2) = 0 =⇒ m1 = 5, m2 = −2. Therefore yn = A5n + B(−2)n . Now, we need to use the fact that y0 = 3 and y1 = 19 to calculate A and B. Clearly 4 25 and B = − and y0 = 3 =⇒ A + B = 3 and y1 = 19 =⇒ 5A − 2B = 19, therefore A = 7 7 25 n 4 yn = 5 − (−2)n . 7 7
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CHAPTER 7. CAYLEY-HAMILTON THEOREM
Next solve gn+2 = gyn+1 + 10gn for gn where g0 = 10 and g1 = 30. Clearly, gn = C5n + D(−2)n . 50 20 Now, g0 = 10 =⇒ C + D = 10 and g1 = 30 =⇒ 5C − 2D = 30, therefore C = and and B = 7 7 50 n 20 gn = 5 + (−2)n . 7 7 Therefore An+2 = yn · A + gn · I n ≥ 0. 4 20 50 n 25 n n n n+2 5 − (−2) A + 5 + (−2) I A = 7 7 7 7
n ≥ 0. ♣...