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Subject: issue space revisited Newsgroups: gmane.politics.election-methods Date: 2003-08-15 00:17:56 GMT (5 years, 8 weeks, 4 days, 11 hours and 39 minutes ago) Access to issue space positions is the election methods designer's dream, but direct access is impractical if not impossible. However, those familiar with applications of Whitney's embedding theorem know that there are indirect methods of accessing a space, namely through one-to-one bi-continuous transformations (i.e. embeddings) of the space into some coordinate space of sufficiently high dimension (twice the dimension of the space plus one is sufficient, according to Whitney's theorem). [Delay coordinates in chaos theory come to mind as a good example of an application of Whitney's theorem.] In the context of election methods, suppose that the issue space is three dimensional, i.e. there are three major issue axes along which all of the various issues tend to align themselves. [Any deviations into a fourth dimension would be relatively small compared to the variation along the three principal axes.] Then according to Whitney's embedding theorem, it would take no more than a 2*3+1=7 dimensional coordinate system to get a faithful image of this issue space. If there are seven or more (non clone) candidates, then the ratings of the candidates on CR ballots could well serve as such a coordinate system for locating the images of the voters in the image space. [The marked ballots are the "images" of the voters who marked them.] In other words, if the issue space is three dimensional, and there are seven or more candidates, then the greater the similarity between two marked ballots, the closer their two voters are positioned in issue space. [The converse is true even if there are fewer than Whitney's required number of coordinates; the closer two voters are positioned in issue space, the more similar their ballots.] For a one or two dimensional issue space, a 2*2+1=5 dimensional coordinate system would suffice, so five non-clone candidates would suffice to discern the shape of the space ... in particular to discern whether the space was one or two dimensional. A good example is Adam's recent far-left, left, centrist, right, far-right election ballot summary in a posting challenging the IRV supporters to justify IRV's choice. Even if the names of the candidates didn't give it away, the one dimensional shape of the issue space could be easily inferred from the ballots. Next time (if there is even a particle of interest)... "How to Take Advantage of the Correspondence Between Ballot Space and Issue Space When Designing and Testing Election Methods." Forest ---- Election-methods mailing list - see http://electorama.com/em for list info |
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