Proving Diagonalizability of an nxn Matrix

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can anyone help with this problem?

Consider a diagonalizable nxn matrix A with m distinct eigenvalues L1,...,Lm show that (A-L1*I)(A-L2*I)****(A-Lm*I)=0
 
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isn't that just used to find the eigenvalues? how would you get rid of x?
 
Don't think in terms of "getting rid of x." Think about the problem conceptually. What ways do you know to show that some matrix is the zero matrix?
 
what do you mean by showing that a matrix is the zero matrix? A matrix is a zero matrix if anything multiplied by it is zero? I know that A is similar do a diagonal matrix D with the eigienvalues down the diagonal. I'm not sure if that would help though?
 
So since A is diagonizable the eigenvectors form an eigenbasis for A. Thus any vector is a linear combination of these eigenvectors. Does that mean that is x is any linear combination of these eigenvectors that (A-L1*I)***(A-Lm*I)*x=0? and if so does it mean since any vector mulitplied by this matrix is zero that this matrix is zero then?
 
buzzmath said:
Does that mean that is x is any linear combination of these eigenvectors that (A-L1*I)***(A-Lm*I)*x=0?
Can you think of a reason? Try actually writing x as a linear combination rather than just saying that it is.