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Pi Mu Epsilon - Mathematical Association of America

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Friday MAA Session #16 August 3, 2012<br />

MAA Session #16<br />

Room: Meeting Room L<br />

8:30A.M. – 11:45A.M.<br />

8:30–8:45<br />

Combinatorial and Computer Pro<strong>of</strong>s <strong>of</strong> Certain Identities<br />

Michael Weselcouch and Sean Meehan<br />

Assumption College and University <strong>of</strong> Notre Dame<br />

In this talk we will present combinatorial and computer assisted pro<strong>of</strong>s <strong>of</strong> certain interesting identities.<br />

This research was conducted as part <strong>of</strong> the 2012 REU program at Grand Valley State University.<br />

8:50–9:05<br />

Analysis <strong>of</strong> Sudoku Variations Using Combinatorial Techniques<br />

Ellen Borgeld and Elizabeth Meena<br />

Grand Valley State University and Trinity Christian College<br />

Many people enjoy solving Sudoku puzzles, but there are other challenging and intriguing questions<br />

about Sudoku that can be studied using combinatorics, such as counting the number <strong>of</strong> possible<br />

Sudoku boards and determining when a puzzle is solvable. Some variations on the standard<br />

9 × 9 puzzle have different rules, for example, using arrows or other symbols between individual<br />

cells rather than numerical clues. We present the results <strong>of</strong> our research <strong>of</strong> Sudoku variations,<br />

using combinatorial counting techniques including permutations and equivalence relations. This<br />

research was conducted as part <strong>of</strong> the 2012 REU program at Grand Valley State University.<br />

9:10–9:25<br />

Conway’s Subprime Fibonacci Sequences<br />

Julian Salazar<br />

Henry Wise Wood High School<br />

It’s the age-old recurrence with a twist: add the two preceding terms, and if the sum is composite,<br />

divide by its smallest prime divisor to get the current term (e.g., 0, 1, 1, 2, 3, 5, 4, 3, 7, . . .). This<br />

presentation is both an exposition on the properties <strong>of</strong> this interesting variant (namely, the existence<br />

<strong>of</strong> cycles reminiscent <strong>of</strong> the 3x + 1 problem), and a retrospective on how a tri-generational<br />

trio approached and collaborated on it.<br />

9:30–9:45<br />

Famous Sequences and Euclidean Algorithm Step Sizes<br />

Gregory James Clark<br />

Westminster College<br />

We will prove that the maximum number <strong>of</strong> steps for the Euclidean Algorithm is achieved using<br />

Fibonacci numbers and Lucas numbers <strong>of</strong> odd index. In particular, we will use a formula that provides<br />

an upper bound on the number <strong>of</strong> steps needed when using the Euclidean Algorithm on two<br />

natural numbers, a and b. Furthermore, we will show that the upper bound is achieved for certain<br />

values <strong>of</strong> b.<br />

50

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