I am trying to use induction to prove that in the general case that distinct eigenvalues have distinct eigenvectors. This is based off of @Arturo Magidin's answer in the following question:
How to prove that eigenvectors from different eigenvalues are linearly independent
I was hoping someone could tell me if I am going about it in the right way.
N=1 Case
Show it is true for the case where $n =1:$
$a_1v_1 = 0$
$a_1$ must be $0$ here because if $v_1$ is an eigenvector from the corresponding eigenvalue $\lambda_1$, then it cannot be $0$
N=K Case
Assume it is true for the case where $n = k:$
$a_1v_1 + a_2v_2 + ...+ a_kv_k = 0$
If we apply the linear transformation $T$ to the above equation:
$T(a_1v_1 + a_2v_2 + ...+ a_kv_k) = 0$
$=a_1\lambda_1v_1 + a_2\lambda_2v_2 + ...+ a_k\lambda_kv_k=0$
If we multiply
$\lambda_1$
by $a_1v_1 + a_2v_2 + ...+ a_kv_k = 0$
We will get:
$a_1\lambda_1v_1 + a_2\lambda_1v_2 + ...+ a_k\lambda_1v_k = 0$
If we take the difference between the the linear transformation and the above equation, we get the following:
$a_2(\lambda_2-\lambda_1)v_2 + ...+ a_k(\lambda_1-\lambda_k)v_k = 0$
Now, since the eigenvalues are distinct and the eigenvectors cannot equal $0$, then the only solution is t
then $a_i = 0$ for $i = 1,2,..., k$
N+1 Case
Then for the case where $n=k+1:$
$a_1v_1 + a_2v_2 + ...+ a_kv_k + a_{k+1}v_{k+1}= 0$
We know it therefore must be true that the coefficients
$a_i$ for $i = 1,2,..., k+1$ must be $0$
I am not convinced that what I have produced is acceptable so if anyone could comment on it or let me know I would be most grateful.