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*Linear Algebra I*

Properties and applications of vectors; matrix algebra; solving systems of linear equations; determinants; vector spaces; orthogonality; eigenvalues and eigenvectors.

Properties and applications of vectors; matrix algebra; solving systems of linear equations; determinants; vector spaces; orthogonality; eigenvalues and eigenvectors.

The course went well, and I am looking forward to a second course, but my hope is to eventually do graduate work in physics or math, probably on the more theoretical side of physics, but I am only in my first year, so I am not entirely sure at this stage. I have the option of taking either one of the following courses:

*Linear Algebra II*

Vector space examples. Inner products, orthogonal sets including Legendre polynomials, trigonometric functions, wavelets. Projections, least squares, normal equations, Fourier approximations. Eigenvalue problems, diagonalization, defective matrices. Coupled difference and differential equations; applications such as predator-prey, business competition, coupled oscillators. Singular value decomposition, image approximations. Linear transformations, graphics.

Vector space examples. Inner products, orthogonal sets including Legendre polynomials, trigonometric functions, wavelets. Projections, least squares, normal equations, Fourier approximations. Eigenvalue problems, diagonalization, defective matrices. Coupled difference and differential equations; applications such as predator-prey, business competition, coupled oscillators. Singular value decomposition, image approximations. Linear transformations, graphics.

OR

*Intermediate Linear Algebra*

A rigorous development of lines and planes in Rn; linear transformations and abstract vector spaces. Determinants and an introduction to diagonalization and its applications including the characteristic polynomials, eigenvalues and eigenvectors.

A rigorous development of lines and planes in Rn; linear transformations and abstract vector spaces. Determinants and an introduction to diagonalization and its applications including the characteristic polynomials, eigenvalues and eigenvectors.

The former is offered through the Applied Mathematics Department and the latter is through the Mathematics Department. Neither one is an anti-requisite for the other. The only significant difference, besides the department offering the course, is the fact that the former requires a second course in calculus. My plan is to only take one of the courses, and I am taking the second course in calculus in the coming semester, so I cannot take the former in the coming semester. If, however, it is the better course for what I am looking for, I am fine with waiting.

Basically, I am wondering which one people think will be more useful for physics? I recognize that you have not (necessarily) taken either course, but I would imagine that those with a greater knowledge of advanced physics than I have would have a better idea than I do of which one seems to be of more direct use. I assume it is the former, seeing as it is more based on the applications of linear algebra, but I wonder if it would be of more use to go more deeply into the theoretical aspects of linear algebra in order to be better prepared for potential graduate work?

I have spoken to my physics professor this semester, and I got the impression that he doesn't feel that it matters which one I take (neither is actually a requirement for physics), but I was curious as to what others with experience think about this.

This thread (https://www.physicsforums.com/threa...near-algebra-ii-or-numerical-analysis.563174/) specifically discusses Linear Algebra II at Western University (where I am located), but it is comparing a different course.

I appreciate any advice you can provide.