Mathematics for Computer Science MIT 6.042J/18.062J Infinite Expectation Albert R Meyer, May 14, 2012 infexp.1 Bet-Doubling Paradox How to beat an unfair roulette game: Albert R Meyer, May 14, 2012 infexp.2 Bet-Doubling Paradox How to beat an unfair roulette game: bet $10 on Black. If you win, go home with the $10. Albert R Meyer, May 14, 2012 infexp.3 Bet-Doubling Paradox How to beat an unfair roulette game: bet $10 on Black. If you win, go home with the $10. If you lose, bet $20. Albert R Meyer, May 14, 2012 infexp.4 Bet-Doubling Paradox How to beat an unfair roulette game: bet $10 on Black. If you win, go home with the $10. If you lose, bet $20. If you win this time, go home with $(20-10) = $10. Albert R Meyer, May 14, 2012 infexp.5 Bet-Doubling Paradox How to beat an unfair roulette game: bet $10 on Black. If you lose the $20 bet, then bet $40. Albert R Meyer, May 14, 2012 infexp.6 Bet-Doubling Paradox How to beat an unfair roulette game: bet $10 on Black. If you lose the $20 bet, then bet $40. If you win, go home with $(40 -20 -10) = $10. Albert R Meyer, May 14, 2012 infexp.7 Bet-Doubling Paradox By continuing to double your bet, your net win will be $10 when you finally win a bet… and you are certain to eventually win, since Pr[bet > k times] (10/19)k Albert R Meyer, May 14, 2012 infexp.8 Bet-Doubling Paradox So paradoxically, you are certain to win an unfair game. What’s the hitch: what bankroll will let you play? E[$ in last bet] = Albert R Meyer, May 14, 2012 infexp.9 Bet-Doubling Paradox So paradoxically, you are certain to win an unfair game. What’s the hitch: what bankroll will let you play? E[$ in last bet] = Albert R Meyer, May 14, 2012 infexp.10 Bet-Doubling Paradox So paradoxically, you are certain to win an unfair game. What’s the hitch? What initial stake will let you play? E[$ in last bet] = Albert R Meyer, May 14, 2012 infexp.11 Bet-Doubling Paradox To be certain to win an unfair game, you need an infinite bankroll. Albert R Meyer, May 14, 2012 infexp.12 Bet-Doubling Paradox With a finite bankroll, your expectation goes back to being negative—as it should in an unfair game. Albert R Meyer, May 14, 2012 infexp.13 Infinite Expectations • Bet doubling: win is certain, but expected last bet is infinite. • Fair gambler’s ruin: ruin is certain, but expected to take forever. • E[# tries to beat 1st try] = • E[R] < , but maybe Var[R] = Albert R Meyer, May 14, 2012 Lec 14M.14 Coping with Expectation Average of repeated trials does not converge. (No Weak Law.) But even if E[R] = , maybe Albert R Meyer, May 14, 2012 infexp.15 Coping with Expectation Average of repeated trials does not converge. (No Weak Law.) But even if E[R] = , maybe Albert R Meyer, May 14, 2012 infexp.16 Coping with Expectation Average of repeated trials does not converge. (No Weak Law.) But even if E[R] = , analyze rate of divergence. Albert R Meyer, May 14, 2012 infexp.17 Moral of the Story Infinite expectation comes up regularly in extreme situations, but can be coped with Albert R Meyer, May 14, 2012 infexp.18
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