Product of two summations with two indices.

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I have an event $A_{i, j}$, which is $A_i \cap A_j$. I have created an indicator random variable $X_{i, j}$ which is $1$ if event $A_{i, j}$ occurs and $0$ if it does not.

I then want to compute the expectation value $E(X^2)$, where $X = \sum_{i, j}^{5}{X_{i, j}}$. This is what I have so far:

$$ E(X^2) = E\left[ \left(\sum_{i, j}^{5}{X_{i, j}}\right)^2 \right] = E\left[ \left(\sum_{i, j}^{5}{X_{i, j}}\right) \left(\sum_{i, j}^{5}{X_{i, j}}\right) \right] $$

This is where I am a little confused as to what the product should be. Normally, with one index, the product would be:

$$ \left(\sum_{i=1}^{n}{X_i}\right)^2 = \sum_{i=1}^{n}{X_i^2} + \sum_{i \ne j}^{n}{X_i X_j}$$

What would be the equivalent of this for the case with two indices?

I have tried some hand calculations and come up with: $$\sum_{i, j}^{5}{X_{i, j}^2} + \sum_{i \ne j, l \ne n}^{5}{X_{i, j} X_{l, n}}$$. Does this seem correct?

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We can generalize $X_{ij}$ to more than two indices as appropriate, and then $X_{ij}X_{k\ell}=X_{ijk\ell}$.

Then the product of $\sum_{i,j} X_{ij}$ with itself is the sum of all possible $X_{ijk\ell}$s.

Note $ijk\ell$ has one, two, three or four distinct numbers:

  • We get $\{i\}$ only for $iiii$.
  • We get $\{i,j\}$ for the $4$ permutations of $iiij$, the $4!/2^2=6$ permutations of $iijj$, and the $4$ permutations of $ijjj$, for a total of $14$ possible origins.
  • We get $\{i,j,k\}$ for the $4!/2=12$ permutations of $iijk$, and of $ijjk$, and of $ijkk$, for $36$ total.
  • We get $\{i,j,k,\ell\}$ for the $4!=24$ permutations of $ijk\ell$.

Assuming I counted these all right, the square of $\sum\limits_{i,j}X_{ij}=\sum\limits_i X_i+2\sum\limits_{i<j} X_{ij}$ equals

$$ \Big(\sum_{i,j} X_{ij}\Big)^2 = \Big(\sum_i X_i\Big)+14\Big(\sum_{i<j} X_{ij}\Big) + 36\Big(\sum_{i<j<k}\! X_{ijk}\Big)+24\Big(\!\!\sum_{i<j<k<\ell}\!\!\! X_{ijk\ell}\Big). $$