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Course Queries Syllabus Queries 2 years ago
Posted on 16 Aug 2022, this text provides information on Syllabus Queries related to Course Queries. Please note that while accuracy is prioritized, the data presented might not be entirely correct or up-to-date. This information is offered for general knowledge and informational purposes only, and should not be considered as a substitute for professional advice.
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I am teaching a group of (ordinary rather than honours) second-year engineers and we are studying matrices. I told the class today that as far as I could see we were only studying matrices and, particularly, the inverse matrix method as an introduction to more advanced matrix methods that would be studied in future.
However, the maths modules that they take in their next, final, third year are differential equations (no linear systems of differential equations) and, well, probability and statistics.
The only use that I can see that this group have for matrices is for solving linear systems. I know that there are plenty of more reasons to study matrices and in particular matrix inverses but this cohort will not see them.
It obviously strikes me as odd that the syllabus would recommend that we use the Inverse Matrix Method rather than the full Gaussian elimination theory.
Therefore my question is:
Assuming that we want to solve a linear system Ax=bAx=b, what advantages, if any, does the inverse matrix method have over the full Gaussian elimination theory.
Thank you in advance for any answers; I am struggling to find one!
When I teach linear algebra (it has been some years now), I always tell my students to never evercompute the inverse of a matrix, at least not if the matrix is much bigger than 3×33×3. If you need to solve Ax=bAx=b for just one single bb, do Gaussian elimination. If you need to do it for several bb values but a single AA, compute the LULU decomposition of AA and use that to compute the required solutions.
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