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10 9. Let U be a finite-dimensional vector space and TE LU). Prove the following statements. (a) (5 pts) Let λ be an eigenval

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Answer #1

Part-A:

Let \lambda be an eigen value of T with algebraic multiplicity m_a and geometric multiplicity mg.

Let B be a basis with respect to which \lambda is an eigen value of T.

Let E_\lambda be the eigen space associated with \lambda.

Since dimension of E_\lambda is mg there are mg linearly independent eigen vectors of T associated with \lambda.

Let the linearly independent eigen vectors be denoted by UTiq

Since they are linearly independent so they can be extended to form another basis of U say B^{'}.

Surely B is similar to B^{'} i.e there exist non-singular matrices such that SB S

Since characteristic polynomial of a matrix does not change when basis is similar we find  \lambda forms an eigen value of T with respect to B^{'} with algebraic multiplicity at least m_a.

Since B^{'} has UTiq as basis vectors so m_g\le m_a

Part-B:

Assume that

k-1-------------(2)

Since

T^{k}(u)=0\\ \implies T^{k+p}(u)=0\forall p\ge 1-------------(1)

Applying T^{k-1} on (2) we get

k-1 k-1--------(Using (1))

Since Tk-1 (11)メ0

c_0T^{k-1}(u)=0\implies c_0=0-------(3)

Again applying T^{k-2} on (2) we get

T^{k-2}(c_0u+c_1T(u)+c_2T^2(u)+\cdots +c_{k-1}T^{k-1}(u))=0\\ \implies c_1T^{k-1}(u)=0------(Using (3))

Since Tk-1 (11)メ0

c_1T^{k-1}(u)=0\implies c_1=0-------(4)

Similarly we can obtain that c_i=0\forall i\ge 0

Thus the set is linearly independent

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10 9. Let U be a finite-dimensional vector space and TE LU). Prove the following statements. (a) (5 pts) Let λ be an eigenvalue T whose geometric multiplicity is m, and algebraic multiplicity is ma....
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