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Unformatted text preview: Algorithms Lecture 28: Adversary Arguments [ Sp10 ] An adversary means opposition and competition, but not having an adversary means grief and loneliness. Zhuangzi (Chuangtsu) c. 300 BC It is possible that the operator could be hit by an asteroid and your $20 could fall off his cardboard box and land on the ground, and while you were picking it up, $5 could blow into your hand. You therefore could win $5 by a simple twist of fate. Penn Jillette, explaining how to win at ThreeCard Monte (1999) 28 Adversary Arguments 28.1 ThreeCard Monte Until Times Square was sanitized into TimesSquareLand TM , you could often find dealers stealing tourists money using a game called Three Card Monte or Spot the Lady. The dealer has three cards, say the Queen of Hearts, the two of spades, and three of clubs. The dealer shuffles the cards face down on a table (usually slowly enough that you can follow the Queen), and then asks the tourist to bet on which card is the Queen. In principle, the tourists odds of winning are at least one in three. In practice, however, the tourist never wins, because the dealer cheats. The dealer actually holds at least four cards; before he even starts shuffling the cards, the dealer palms the queen or sticks it up his sleeve. No matter what card the tourist bets on, the dealer turns over a black card (which might be the two of clubs, but most tourists wont notice that wasnt one o the original cards). If the tourist gives up, the dealer slides the queen under one of the cards and turns it over, showing the tourist where the queen was all along. If the dealer is really good, the tourist wont see the dealer changing the cards and will think maybe the queen was there all along and he just wasnt smart enough to figure that out. As long as the dealer doesnt reveal all the black cards at once, the tourist has no way to prove that the dealer cheated! 1 28.2 nCard Monte Now lets consider a similar game, but with an algorithm acting as the tourist and with bits instead of cards. Suppose we have an array of n bits and we want to determine if any of them is a 1. Obviously we can figure this out by just looking at every bit, but can we do better? Is there maybe some complicated tricky algorithm to answer the question Any ones? without looking at every bit? Well, of course not, but how do we prove it? The simplest proof technique is called an adversary argument. The idea is that an allpowerful malicious adversary (the dealer) pretends to choose an input for the algorithm (the tourist). When the algorithm wants looks at a bit (a card), the adversary sets that bit to whatever value will make the algorithm do the most work. If the algorithm does not look at enough bits before terminating, then there will be several different inputs, each consistent with the bits already seen, the should result in different outputs. Whatever the algorithm outputs, the adversary can reveal an input that is has all thedifferent outputs....
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This note was uploaded on 10/14/2011 for the course ECON 101 taught by Professor Smith during the Spring '11 term at West Virginia University Institute of Technology.
 Spring '11
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