Proving X1X2 ~ Y1Y2: Distribution of X1 and Y1 is the Same as X2 and Y2

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The statement that if X1 ~ Y1 and X2 ~ Y2, then X1X2 ~ Y1Y2 is proven false through a counterexample. In this scenario, X1 is a random variable with equal probabilities of being 1 or -1, while X2 is defined as -X1. Both Y1 and Y2 are equal to X1, leading to X1X2 equating to -1 almost surely, while Y1Y2 results in 1. This demonstrates that the distributions of the products do not match, contradicting the initial claim. Thus, the distributions of X1 and Y1 being the same does not imply the same for their products.
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Homework Statement


If X1 ~ Y1 and X2 ~ Y2, then X1X2 ~ Y1Y2, prove or find a counterexample. (the distribution of X1 has the same distribution of Y1 etc)


Homework Equations


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The Attempt at a Solution


I'm guessing the statement is true. For example if X1 and Y1 were both uniform and X2 and Y2 are binomial, then a uniform * binomial is distributed the same as a uniform * binomial.
 
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It would help if you also told us what "~" meant.
 
Ah sorry, it's the stuff I put in the brackets ie.

X1 ~ Y1 : the distribution of X1 has the same distribution of Y1, X1 and Y1 being random variables.

The same with X2 ~ Y2 and X1X2 ~ Y1Y2.
 
If anyone was interested, the answer was no. The counter example was:

Let P(X_1 = 1) = P(X_1 = -1) = 0.5. Let X_2 = -X_1 and Y_1 = Y_2 = X_1. X_1 X_2 = -X_1^2 = -1 almost surely, but Y_1 Y_2 = X_1^2 = 1
 
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