Understanding Shankar's Principles of QM: Changing Basis of Operators

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Hi,

I'm reading Shankar's Principles of QM and I find it not very clear on how exactly should I change basis of operator. I know how to change basis of a vector so can I treat the columns of operator matrix as vectors and change them? Or is it something else?
 
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It is something a little different. Let v_1 denote a vector represented in basis 1. Then to represent this same vector in terms of a different basis, basis 2, we need to find a matrix T_{1:2} that maps any vector representation from basis 1 to basis 2. Thus if we let v_2 denote that vector represented in basis 2, then
v_2 = T_{1:2} \, v_1.
This means that
v_1 = T_{1:2}^{-1} \, v_2
so the matrix that maps a vector representation from basis 2 to basis one is
T_{2:1}=T_{1:2}^{-1}.

Now, if we have a matrix representation of an operator in basis 1, say A_1, then it takes a vector represented in basis 1 and maps it to a different vector represented in basis 1. For our example let
y_1 = A_1 v_1.
So if we want to represent y in basis 2 we have,
y_2 = T_{1:2} y_1 = T_{1:2} A_1 v_1 = T_{1:2} A_1 T_{2:1} v_2.
Hence, if we want to represent the operator in basis 2, the matrix representation must be
A_2 = T_{1:2} A_1 T_{2:1} = T_{1:2} A_1 T^{-1}_{1:2},
and we have
y_2 = A_2 v_2
as required. If you think about what is happening, it should be easy to remember.

Note that most linear algebra books will cover this.

jason
 
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Thank you very much. Maybe I should do some linear algebra book first and then return to Shankar. Can you advise some good books about the subject?
 
"Linear algebra done right", by Sheldon Axler.

But you should start with this post about the relationship between linear operators and matrices.
 
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