Example of convergence in distribution but not in probability

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While I was looking for an example of a sequence of random variables which converges in distribution, but doesn't converge in probability, I have read that it should be enough to consider a sequence of independent and identically distributed non-degenerate random variables. I don't understand why... Can someone explain (or correct if it isn't right)? Thank you

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Choose the probability space $([0,1],\mathscr{B},m)$. ($\mathscr{B}$ consists of all Borel sets of $[0,1]$, $m$ is the Lebesgue measure.)

Let $X_{2n}(\omega)=\omega$, $X_{2n-1}(\omega)=1-\omega$.

Show that $X_{2n}$ and $X_{2n-1}$ have the same distribution. (Uniform distribution.)

Show that $\{X_n\}$ does not converge in probability.