I have labeled where the confusion of the solution is. I don't need an answer to the problem (also attached). I just need an explanation on how did we get this matrix that I've added a note in red?...


I have labeled where the confusion of the solution is. I don't need an answer to the problem (also attached). I just need an explanation on how did we get this matrix that I've added a note in red? from where did the [ 2/3  1/3 ... ] came?? what was done in order to get it? Thank you :)


-[-<br>2<br>-1<br>Let A<br>3<br>(a) Find the eigenvalues and corresponding eigenvectors of A.<br>(b) Find a nonsingular matrix P such that D = P-' AP is diagonal.<br>

Extracted text: -[- 2 -1 Let A 3 (a) Find the eigenvalues and corresponding eigenvectors of A. (b) Find a nonsingular matrix P such that D = P-' AP is diagonal.
[<br>2 -1<br>1. Let A<br>-2<br>Observe first that<br>t – 2<br>1<br>Aa(t) = |<br>-<br>= (t – 2)(t – 3) – 2 = t2 – 5t + 6 – 2 = t? – 5t + 4 = (t – 4)(t – 1).<br>%3D<br>|<br>t – 3<br>(a) Eigenvalues and corresponding eigenvectors of A.<br>Since A4(t) = (t – 4)(t – 1), the eigenvalues areA= 1, 1 = 4.<br>-<br>-<br>[<br>1<br>with echelon<br>-1<br>The eigenspace for A = 1 is the null space of the matrix<br>2 -2<br>-1<br>1<br>form<br>A vector<br>is in E if and only if -x + y = 0, so y = x. Hence<br>0 0<br>{[:]<br>B, - {{:}<br>E1<br>| x<br>ER<br>and a basis for E1 is B1<br>2 1<br>The eigenspace for A= 4 is the null space of the matrix<br>with echelon form<br>1<br>A vector<br>is in E4 if and only if 2x + y =<br>0, so y = -2x. Hence<br>0 0<br>{[ }}<br>1<br>E4<br>|x ER<br>-2x<br>and a basis for E4 is B4<br>-2<br>(b) Nonsingular matrir P such that D = P-'AP is diagonal.<br>[<br>1<br>1<br>Using the vectors in the bases for E1 and E4, we have P<br>1 -2<br>How 222<br>2/3<br>1/3<br>hence P-1<br>and<br>1/3 -1/3<br>2/3<br>1/3<br>2<br>-1<br>1<br>D = P-'AP<br>1/3 -1/3 ]<br>1 -2<br>-2<br>3<br>1 0<br>0 4<br>2/3<br>1/3<br>1<br>4<br>= D.<br>1/3 -1/3<br>1 -8<br>(c) f(A), where f(t) = t – 4t3 + 3t – 7.<br>We have D = P-'AP, so A = PDP-l and f(A) = f(PDP-1) = Pf(D)P-1.<br>(See diagonal factorization, text page 298.)<br>Next,<br>4<br>1 0<br>0 4<br>1<br>1<br>1 0<br>0 4<br>1 0<br>+3<br>0 4<br>1 0<br>0 1<br>f(D)<br>-7<br>3<br>+<br>0 -256<br>1<br>-4<br>0 256<br>+<br>0 12<br>-7<br>-7 0<br>0 5<br>1- 4+3 - 7<br>256 – 256 + 12 – 7<br>and so<br>1/3<br>[<br>-7 0<br>0 5<br>2/3<br>f(A) = Pf(D)P-1<br>1 -2<br>1/3 -1/3<br>-7<br>5<br>2/3<br>1/3<br>-3<br>-4<br>= f(A).<br>-7 -10<br>1/3 -1/3<br>-8<br>1<br>

Extracted text: [ 2 -1 1. Let A -2 Observe first that t – 2 1 Aa(t) = | - = (t – 2)(t – 3) – 2 = t2 – 5t + 6 – 2 = t? – 5t + 4 = (t – 4)(t – 1). %3D | t – 3 (a) Eigenvalues and corresponding eigenvectors of A. Since A4(t) = (t – 4)(t – 1), the eigenvalues areA= 1, 1 = 4. - - [ 1 with echelon -1 The eigenspace for A = 1 is the null space of the matrix 2 -2 -1 1 form A vector is in E if and only if -x + y = 0, so y = x. Hence 0 0 {[:] B, - {{:} E1 | x ER and a basis for E1 is B1 2 1 The eigenspace for A= 4 is the null space of the matrix with echelon form 1 A vector is in E4 if and only if 2x + y = 0, so y = -2x. Hence 0 0 {[ }} 1 E4 |x ER -2x and a basis for E4 is B4 -2 (b) Nonsingular matrir P such that D = P-'AP is diagonal. [ 1 1 Using the vectors in the bases for E1 and E4, we have P 1 -2 How 222 2/3 1/3 hence P-1 and 1/3 -1/3 2/3 1/3 2 -1 1 D = P-'AP 1/3 -1/3 ] 1 -2 -2 3 1 0 0 4 2/3 1/3 1 4 = D. 1/3 -1/3 1 -8 (c) f(A), where f(t) = t – 4t3 + 3t – 7. We have D = P-'AP, so A = PDP-l and f(A) = f(PDP-1) = Pf(D)P-1. (See diagonal factorization, text page 298.) Next, 4 1 0 0 4 1 1 1 0 0 4 1 0 +3 0 4 1 0 0 1 f(D) -7 3 + 0 -256 1 -4 0 256 + 0 12 -7 -7 0 0 5 1- 4+3 - 7 256 – 256 + 12 – 7 and so 1/3 [ -7 0 0 5 2/3 f(A) = Pf(D)P-1 1 -2 1/3 -1/3 -7 5 2/3 1/3 -3 -4 = f(A). -7 -10 1/3 -1/3 -8 1
Jun 04, 2022
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