Treffer: What can we learn from Bohemian Matrices? An adventure in symbolic-numeric computation

Title:
What can we learn from Bohemian Matrices? An adventure in symbolic-numeric computation
Authors:
Source:
Maple Transactions; Vol. 1 No. 1 (2021): Premiere Issue ; 2564-3029
Publisher Information:
Western Libraries, University of Western Ontario
Publication Year:
2023
Document Type:
Fachzeitschrift article in journal/newspaper<br />other non-article part of journal/newspaper
Language:
English
Rights:
Copyright (c) 2021 Professor Robert M. Corless ; https://creativecommons.org/licenses/by-nc-sa/4.0
Accession Number:
edsbas.9EFE6E0E
Database:
BASE

Weitere Informationen

This Maple Workbook explores a new topic in linear algebra, which is called "Bohemian Matrices". The topic is accessible to people who have had even just one linear algebra course, or have arrived at the point in their course where they have touched "eigenvalues". We use only the concepts of characteristic polynomial and eigenvalue. Even so, we will see some open questions, things that no-one knows for sure; even better, this is quite an exciting new area and we haven't even finished asking the easy questions yet! So it is possible that the reader will have found something new by the time they have finished going through this workbook. Reading this workbook is not like reading a paper: you will want to execute the code, and change things, and try alternatives. You will want to read the code, as well. I have tried to make it self-explanatory. We will begin with some pictures, and then proceed to show how to make such pictures using Maple (or, indeed, many other computational tools). Then we start asking questions about the pictures, and about other things.