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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorMarseglia, Stefano
dc.contributor.authorKeuper, Noah
dc.date.accessioned2022-09-09T01:03:13Z
dc.date.available2022-09-09T01:03:13Z
dc.date.issued2022
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/42463
dc.description.abstractThe Similarity Extension Theorem roughly states that two matrices are similar over every localisation of a specific ring if and only if there is a finite integral extension of that ring where they are similar. Since the Similarity Extension Theorem was proved a question that remained was finding this extension. The goal of this thesis is to dive into this problem and propose a method of solving it in a specific setting, with the hope that this can be extended to a broader setting in the future. This was done by going over the proof of the Similarity Extension Theorem and trying to adapt it by using a theorem from Watson such that it returns an explicit extension. We succeeded in finding a method that returns a solution for two 2x2 matrices with some additional conditions. However we suspect some of these conditions can be avoided or relaxed with some additional research. This method therefore could be a good addition to current methods whenever we are looking at 2x2 matrices. And can be a start for anyone trying to generalise this method to larger matrices.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectIn this thesis we look at the Similarity Extension Problem and current research on it. We conclude by providing our own method of solving the Similarity Extension Problem for 2x2 matrices. This method is based on the initial proof of the Similarity Extension Theorem and a second theorem which makes the method explicit.
dc.titleA partial solution to the similarity extension problem
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsConjugacy Extension Theorem; Conjugacy Extension Problem; Similarity Extension Theorem; Similarity Extension Problem; LM-correspondence; 2x2 matrices
dc.subject.courseuuMathematical Sciences
dc.thesis.id9048


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