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Practice problems for the final exam of the Math 19-01 course offered by Tufts University's Department of Mathematics in Spring 2016. The problems cover topics such as voting systems, apportionment, geometry of gerrymandering, probability, and elections. step-by-step solutions to each problem, making it a useful resource for students preparing for the final exam.
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TUFTS UNIVERSITY DEPARTMENT OF MATHEMATICS SPRING 2016
Voting Systems
(1) Refer to review materials for exams 1 and 2 on the course website. Use the Voting Handout for extra practice. (We covered everything on the handout except “polarizing candidates.”)
(2) Consider the following preference schedule:
Verify that A is a Condorcet candidate and find a voting method for which A is a losing spoiler. A is a Condorcet candidate because A wins all the two-way consolidations: A beats B head-to- head (7-6) and beats C head-to-head (also 7-6). Recall that the only ways for candidate X NOT to be a spoiler are
(3) On a pairwise comparison graph with 55 voters, explain why all of the margins of victory must be odd. The margins of victory are obtained from 2-way consolidations. Consider two candidates, X and
Y. Their head-to-head must look like this:
×r ×s X Y Y X
. Now if r voters prefer X and s voters prefer
Y , we also know that the sum is r + s = 55, the total number of voters. That means that out of r and s, one must be even and the other is odd! (If they were both odd or both even, their sum would be even.) Finally, the margin of victory is the difference between the two numbers, and the difference between an even and an odd number is odd.
Apportionment
(4) For apportionment, M denotes population and m denotes number of seats. The ith state or district has a quota Qi = M Mi · m. Explain the terms in that formula and what the quota means. Qi is the quota for the ith state, built as follows: Mi is the population of the ith state, so Mi/M is the proportion of the nation that lives in state i. So state i should fairly get the same proportion of the seats in Congress, which is (Mi/M ) · m. Therefore the quota represents this state’s fair number of congressional seats.
Geometry of Gerrymandering
(5) Recall that the compactness score of a shape is C(S) = (^400) P πA 2. Showing all work, verify that for a
regular hexagon H, the score is C(H) = 50 π
√ 3
This is solved completely on the HW9 solution set, posted on the course webpage. In number 4, the solution derives C(S) = (400π 3
3)/72, which simplifies down to (50π
(6) The first Gingles factor requires that a minority population be “sufficiently large and geographically compact to constitute a majority in a single-member district.” Ohio’s population was 12.04% black on the 2010 census. How many congressional seats must it get in order that the black population can possibly pass this Gingles test? (For instance, if Ohio only gets one seat, then 12 .04% is not a majority, so it would fail this Gingles factor.) The test asks that it is possible for a district to be drawn with the black population as a majority in that district. If Ohio had two districts, for example, then each district would have 50% of Ohio’s population, and 12.04 is not a majority of 50. If Ohio had four districts, each district would have 25% of the population, and 12.04 is still not a majority of 25, but it’s getting close! If Ohio had five districts, then each one has 20% of the population, and 12.04 is a majority of that. So five is the smallest number of congressional seats needed so that the black population is sizable enough to satisfy the Gingles factor.
Probability and Elections
(7) Consider a pairwise comparison graph with random arrows (no ties). Find the probability that there is a Condorcet candidate if the number of candidates is 3, 4, 5 and n. First, how many edges (connecting lines) does each graph have? For 3 candidates, the graph has 3 edges. For 4 candidates, there are 6 edges. For 5 candidates, there are 10 edges (it’s a pentagon with a star inside). Finally, for n candidates, there are
(n 2
edges, because there’s an edge for every pair of candidates that must go head-to-head, and there are
(n 2
ways to choose a pair out of the n. Some solutions to this problem will use that number, but let me give a solution that doesn’t require that: Let’s look at the probability that a particular candidate is Condorcet. That means that all n − 1 edges out of candidate A must have outward-pointing arrows. If in and out are equally likely, the probability of that is (1/2)n−^1 , because it’s 50-50 that the first one points out AND 50-50 for the next, and so on, so it’s 12 · 12 · · · multiplied n − 1 times. So to get the overall probability that any candidate is Condorcet, you need look at the events that (A is Condorcet) OR (B is Condorcet) OR (C is Condorcet), and so on for all the candidates. That means you’ll add (1/2)n−^1 to itself n times.
Prob(there is a Condorcet candidate) =
n 2 n−^1
For n = 3, the probability is 3/4; for n = 4, it’s 4/8 = 1/2; and for n = 5, it’s 5/16.
(8) Suppose that we are going to hold a sequential election with 6 candidates, M, A, T, H, S, C. (a) How many sequences are possible? There are 6! = 720 ways to scramble (rearrange) 6 objects. (b) If all sequences are equally likely, what is the probability that the sequence ends up in alpha- betical order? There’s only one way to put them in alphabetical order (A, C, H, M, S, T ) so the probability is 1 /720. (c) What is the probability that M, A are the first two candidates in the sequence? If those are the first two, in that order, then there are 4 spots left to fill with 4 candidates, which can happen in 4! ways. So the overall probability is 4!6! , which cancels down to 1/30.