Proving that an operator squared equals its matrix squared

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dyn
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Hi.
If I have an operator in matrix form eg. < i | x | j > then the matrix of the operator x2 is given by the square of the former matrix. This seems like common sense but how would i prove this using Dirac notation ?
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When you square the matrices, i.e. multiply one matrix by the same matrix, you wind up doing a summation over ## k ## in the following way (to get the ij element of the x matrix multiplied by the x matrix) : ## <i|x|k><k|x|j> ##. in the Dirac notation ## |k><k| ## summed over all states is the identity operator and can be removed.
 
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Thanks for that
 
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The full calculation is
$$\langle i|\hat{x}^2|j \rangle=\sum_{k} \langle i|\hat{x} k \rangle \langle k|\hat{x} j \rangle,$$
i.e., in matrix notation
$$(x^2)_{ij}=\sum_k x_{ik} x_{kj}.$$
That's like matrix multiplication in finite-dimensional vector spaces, only that the matrix here is "infinite dimensional".
 
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vanhees71 said:
The full calculation is
$$\langle i|\hat{x}^2|j \rangle=\sum_{k} \langle i|\hat{x} k \rangle \langle k|\hat{x} j \rangle,$$
i.e., in matrix notation
$$(x^2)_{ij}=\sum_k x_{ik} x_{kj}.$$
That's like matrix multiplication in finite-dimensional vector spaces, only that the matrix here is "infinite dimensional".
It should be noted that there are many other operators for which it is simply a matrix multiplication in a finite dimensional space.