We are given two statements about random variables \(X\) and \(Y\), and we need to determine which one is true.
Step 1: Analyze Statement (I)
The probability density function \(f_X(x) = \frac{1}{2} e^{-|x|}\) represents the Laplace distribution with mean 0 and variance 2.
Let us now check if there exist i.i.d. random variables \(X_1\) and \(X_2\) such that \(X\) and \(X_1 - X_2\) have the same distribution.
For Laplace-distributed random variables, it is known that the difference of two independent Laplace-distributed random variables with the same distribution is also Laplace-distributed. Thus, we can conclude that the difference \(X_1 - X_2\) has the same distribution as \(X\).
Therefore, statement (I) is true.
Step 2: Analyze Statement (II)
The probability density function \(f_Y(y) = \frac{1}{4}\) for \( -2<y<2 \) represents a uniform distribution over the interval \([-2, 2]\).
For the difference of two independent uniform random variables, \(Y_1 - Y_2\), the distribution is a triangular distribution, which does not have the same form as the uniform distribution. Thus, statement (II) is false.