Article ID Journal Published Year Pages File Type
9655121 Discrete Applied Mathematics 2005 26 Pages PDF
Abstract
The following search model of a coin-weighing problem is considered: G has n coins, n-2 of which are good coins of the same weight wg, one counterfeit coin of weight wh is heavier and another counterfeit coin of weight wl is lighter (wh+wl=2wg). The weighing device is a two-arms balance. Let NA(k) be the number of coins for which k weighings suffice to identify the two counterfeit coins by algorithm A and let U(k)=max{n∣n(n-1)⩽3k} be the information-theoretic upper bound of the number of coins; then, NA(k)⩽U(k). One is concerned with the question whether there is an algorithm A such that NA(k)=U(k) for all integers k. It is proved that the information-theoretic upper bound U(k) is always achievable for all even integer k⩾4. For odd integer k⩾3, we establish a general method of approximating the information-theoretic upper bound arbitrarily. The ideas and techniques of this paper can be employed easily to settle other models of two counterfeit coins.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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