If A = [ a c b d ] is a real matrix with A 3 = I 2 , find the minimal value of the trace, a + d ?
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How are we writting lambda cube corresponding to A cube?
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Just use A v = λ v repeatedly and pull λ up front:
A 3 v = A A A v = A A ( λ v ) = λ A A v = λ A ( λ v ) = λ 2 A v = λ 3 v
One solution to this problem is the matrix ( 0 1 − 1 − 1 ) . As A 3 = I 2 ⇒ A 3 − I 2 = 0 = ( A − I 2 ) ( A 2 + A + I 2 ) ⇒ the minimum polynomial p m ( A ) associated to A is A − I 2 or A 2 + A + I 2 because its degree is less or equal than 2 and it belongs to R [ X ] . In the first case, A = I 2 and a + d = 2, but this case leads to a larger value, which we ignore, so we take p m ( A ) = A 2 + A + I 2 and then p m ( A ) has to coincide with the characteristical polynomial p c ( A ) of A, which implies that trace(A) = a + d = -1 due to p c ( A ) = A 2 − t r a c e ( A ) ⋅ A + d e t ( A )
Is that the Cayley- Hamilton theorem?
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yes, Cayley Hamilton theorem is there implicitly.
Yes that works! Thanks! (+1)
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Thank you, I'm going soon to try to post a solution to this problem but i have some problems...
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I'm really looking forward to your solution; I had forgotten about that problem
As a side note, instead of "so this case doesn't work", what you mean is "so this case leads to a larger value, which we ignore".
The reason for the edit is because the case does indeed work, but just doesn't lead to a smaller value than what we've already found.
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The solution I had in mind is equivalent to Guillermo's, but using the language of eigenvalues:
If A v = λ v , then A 3 v = λ 3 v = v , so that λ 3 = 1 . Now λ 1 = λ 2 = 1 or λ 1 = ω = e 2 π i / 3 , λ 2 = ω 2 . The trace is the sum of the eigenvalues, so that the minimum is ω + ω 2 = − 1 .