DescriptionThe theory of permutations touches several areas of mathematics such as discrete mathematics, group theory, representation theory and probability. Although permutations appear to be simple, they mask interesting mathematical structures underneath. For instance, suppose you collect hats from N individuals and randomly re-distribute the hats to them. The expected number of people who get their own hat back is about 1. We can even identify the (random) number of people who get their own hats back. How can we do this? The aim of the project is for students to understand a topic about permutations according to their liking after we have covered some fundamental topics as a group. For instance, students interested in algebra can look into the RSK bijection and the connection between permutations and group representations. Students interested in analysis can investigate Poisson statistics of cycles in random permutations, or explore the notion of "the limit of a permutation". Group projectThe group project will revolve around learning basic concepts and results about permutations. By the end of the group project we would have learned:
Mode of operation and evidence of leanringThe project will revolve around learning through reading with focus on the underlying theory, mathematical rigour, and the development of deep conceptual understanding. Students will demonstrate their understanding by solving relevant problems, exploring examples and theoretical applications of the material, and clearly communicating it in both written and oral formats. Individual projectThe individual project will build on the knowledge you have gained in the group project and will explore additional advanced topics. A few examples of topics you will be able to investigate are:
Mode of operation and evidence of leanringThe project will revolve around learning through reading with focus on the underlying theory, mathematical rigour, and the development of deep conceptual understanding. Students will demonstrate their understanding by solving relevant problems, exploring examples and theoretical applications of the material, and clearly communicating it in both written and oral formats. PrerequisitesProbability II is desirable but not required. ResourcesStudents will be guided to lecture notes, textbooks or papers for various topics. The following textbooks will be helpful.
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email: Mustazee Rahman