Eigenvalue kind of nilpotent problem

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SUMMARY

The discussion centers on the nilpotent behavior of linear mappings in relation to eigenvalues. Specifically, if a vector \( v \in V \) and a linear mapping \( T: V \to V \) exist such that \( (T - \lambda_1)^{n_1}v = 0 \) for some \( \lambda_1 \in \mathbb{C} \) and \( n_1 \in \mathbb{N} \), then it is established that no other eigenvalue \( \lambda_2 \neq \lambda_1 \) can satisfy \( (T - \lambda_2)^{n_2}v = 0 \) unless \( v = 0 \). This confirms that the intersection of different generalized eigenspaces is solely the zero vector. Additionally, if two polynomials \( f \) and \( g \) with no common factors satisfy \( f(T)v = g(T)v = 0 \), it follows that \( v \) must be the zero vector.

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jostpuur
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If a vector [tex]v\in V[/tex] and a linear mapping [tex]T:V\to V[/tex] are fixed, and there exists numbers [tex]\lambda_1\in\mathbb{C}[/tex], [tex]n_1\in\mathbb{N}[/tex] so that

[tex] (T - \lambda_1)^{n_1}v = 0,[/tex]

is it possible that there exists some [tex]\lambda_2\neq\lambda_1[/tex], and [tex]n_2\in\mathbb{N}[/tex] so that

[tex] (T - \lambda_2)^{n_2}v = 0?[/tex]

(Here complex numbers are interpreted as multiplication operators [tex]V\to V[/tex], [tex]v\mapsto \lambda v[/tex], as usual.)
 
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That happens iff v=0. This is the statement that the intersection of different generalized eigenspaces is {0}.
 
Furthermore, if f,g are any two polynomials with no common factor and f(T)v=g(T)v=0 then you can conclude that v=0.
 

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