Suppose T€L(V) and dim range T =k. Prove that T has at most k+1distinct eigenvalues.
Let "v_1, v_2, v_3....v_n" "\\in V" are the eigenvectors of T with respect to the eigenvalues "\\lambda_1, \\lambda_2....\\lambda_n"
Which are distinct and non-zero. The vectors "T(v_1), T(v_2).... T(v_n)" are linearly independent.
In fact, if "c_1, c_2, c_3..... c_n \\in K"
Then "c_1 T(v_1)+c_2 T(v_2)+c_3 T(v_3).....c_n T(v_n)=0 v"
Hence, "c_1 \\lambda_1v_1 +c_2\\lambda_2v_2+....c_n\\lambda_nv_n=0" v
So, we can write it as "c_1 \\lambda_1 = c_2\\lambda_2 = c_3\\lambda3 .....=c_n \\lambda_n=0"
From the above, we can conclude that "v_1, v_2, v_3... v_n" are linearly independent, so "c_1=c_2=c_3..... c_n=0"
But, "\\lambda_i" is non zero, So "n= dim Span(T(v_1),...,T(v_n))\u2264dim ImageT=k"
So, we can conclude that T has not "k" distinct non-zero eigenvalues, Hence only possible eigenvalues for T is zero, So we can say that T has "k+1" distinct eigenvalues.
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