7) Let B be a matrix with a repeated zero eigenvalues. Then show that B2 = 0 (the 2 × 2 zero matrix). Use this to show: if A has a repeated eigenvalue λ0, then (A − λ0I) 2 = 0. (Hint: Use the fact that Bv = 0 for some nonzero vector v)
1. Let B =
a |
b |
c |
d |
where a,b,c,d are arbitrary real numbers. The characteristic polynomial of B is det(B-ʎI2) or, (a-ʎ)(d-ʎ) -bc or, ʎ2-(a+d)+(ad-bc) .
Now, if 0 is a repeated eigenvalue of B, then its characteristic polynomial is (ʎ-0)(ʎ-0)= ʎ2 so that a+d = 0 or, d = -a . Also, ad-bc = 0 or, a(-a)- bc = 0 or, bc = -a2 so that c = - a2/b . Then B =
a |
b |
- a2/b |
-a |
so that B2 =
0 |
0 |
0 |
0 |
Thus, B is the 2 × 2 zero matrix.
2. Now, let A be a 2 × 2 zero matrix with a repeated eigenvalue λ0. Then there is a non-zero vector v (say) such that Av = λ0v. Then (A − λ0I2)v =0 = 0.v . This means that 0 is a repeated eigenvalue of A − λ0I2. Therefore, as per part 1 above, ( A − λ0I2)2 = 0.
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