组合数学 (Spring 2013)/Problem Set 2
- 每道题目的解答都要有完整的解题过程。中英文不限。
- 这次作业只有一个星期的时间。
Problem 1
Prove the following identity:
- [math]\displaystyle{ \sum_{k=1}^n k{n\choose k}= n2^{n-1} }[/math].
(Hint: Use double counting.)
Problem 2
Show that among any group of [math]\displaystyle{ n }[/math] people, where [math]\displaystyle{ n\ge 2 }[/math], there are at least two people who know exactly the same number of people in the group (assuming that "knowing" is a symmetric relation).
Problem 3
Let [math]\displaystyle{ S }[/math] be a subset of [math]\displaystyle{ \{1,2,\ldots,2n\} }[/math] such that [math]\displaystyle{ |S|\gt n }[/math]. Show that there exist [math]\displaystyle{ a,b\in S }[/math] such that [math]\displaystyle{ a }[/math] and [math]\displaystyle{ b }[/math] are coprime.
Problem 4
(Due to Karger)
Balls of 8 different colors are in 6 bins. There are 20 balls of each color. Prove that there must be a bin containing 2 pairs of balls from the two different colors of balls (like {red,red,blue,blue}).
Problem 5
(Erdős-Spencer 1974)
Let [math]\displaystyle{ n }[/math] coins of weights 0 and 1 be given. We are also given a scale with which we may weigh any subset of the coins. Our goal is to determine the weights of coins (that is, to known which coins are 0 and which are 1) with the minimal number of weighings.
This problem can be formalized as follows: A collection [math]\displaystyle{ S_1,S_1,\ldots,S_m\subseteq [n] }[/math] is called determining if an arbitrary subset [math]\displaystyle{ T\subseteq[n] }[/math] can be uniquely determined by the cardinalities [math]\displaystyle{ |S_i\cap T|, 1\le i\le m }[/math].
- Prove that if there is a determining collection [math]\displaystyle{ S_1,S_1,\ldots,S_m\subseteq [n] }[/math], then there is a way to determine the weights of [math]\displaystyle{ n }[/math] coins with [math]\displaystyle{ m }[/math] weighings.
- Use pigeonhole principle to show that if a collection [math]\displaystyle{ S_1,S_1,\ldots,S_m\subseteq [n] }[/math] is determining, then it must hold that [math]\displaystyle{ m\ge \frac{n}{\log_2(n+1)} }[/math].
(This gives a lower bound for the number of weighings required to determine the weights of [math]\displaystyle{ n }[/math] coins.)