Linear algebra - need to show deg of minimal poly = dimension of V

catsarebad
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Homework Statement



if V = C_x for some x belongs to V then show

deg(u_L) = dim(V)

here,

L: V -> V linear operator on finite dimensional vector space

C_x = span {x, L(x), L^2(x),....}

u_L = minimal polynomial



Homework Equations





The Attempt at a Solution



since C_x = V, it spans V. if it spans v, then degree of minimal poly that we somehow obtain from L should be dim(V). i dunno.

i can't figure out how to connect C_x and L with minimal poly.
 
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If you were to prove that dim(Cx) = deg(uL) then you would be done. Does this seem like an easier problem?
 
catsarebad said:

Homework Statement



if V = C_x for some x belongs to V then show

deg(u_L) = dim(V)

here,

L: V -> V linear operator on finite dimensional vector space

C_x = span {x, L(x), L^2(x),....}

u_L = minimal polynomial



Homework Equations





The Attempt at a Solution



since C_x = V, it spans V. if it spans v, then degree of minimal poly that we somehow obtain from L should be dim(V). i dunno.

i can't figure out how to connect C_x and L with minimal poly.

I'll add one more clue to kduna's suggestion. If ##n=deg(U_L)## then ##L^n(x)=0## for all x in V.
 
Dick said:
I'll add one more clue to kduna's suggestion. If ##n=deg(U_L)## then ##L^n(x)=0## for all x in V.

If ##n=deg(U_L)## and ##L^n(x)=0## for all ##x \in V##, this would imply that ##U_L(x) = x^n##. Which is certainly not always true.

However it is true that ##L^n(x) \in \text{span}\{x, L(x), ... , L^{n-1}(x) \}##. This is a big hint. Can you see why this is true?
 
There are two things I don't understand about this problem. First, when finding the nth root of a number, there should in theory be n solutions. However, the formula produces n+1 roots. Here is how. The first root is simply ##\left(r\right)^{\left(\frac{1}{n}\right)}##. Then you multiply this first root by n additional expressions given by the formula, as you go through k=0,1,...n-1. So you end up with n+1 roots, which cannot be correct. Let me illustrate what I mean. For this...
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