Linear Algebra Vs Mathematical Modeling -Importance in relation to physics

AI Thread Summary
The discussion centers on the choice between two modules: Mathematical Modeling and Linear Algebra, both of which are relevant to physics undergraduates. Mathematical Modeling focuses on constructing and applying mathematical models in various scientific fields, including ecology and pharmacokinetics, using differential equations and dynamical systems software. In contrast, Linear Algebra covers foundational concepts such as linear equations, matrices, and vector spaces, which are crucial for understanding advanced physics topics, particularly quantum mechanics.Participants highlight the practical benefits of Linear Algebra in simplifying calculations in physics, especially in areas like mechanics and robotics. There is a consensus that while Mathematical Modeling offers valuable insights into interdisciplinary applications, Linear Algebra is essential for a deeper understanding of core physics concepts. The discussion suggests that Linear Algebra should ideally precede Mathematical Modeling, as it provides the necessary mathematical framework for tackling complex physical problems. Ultimately, the choice depends on the student's career interests, with Linear Algebra being more beneficial for those pursuing traditional physics paths.
rshalloo
Messages
48
Reaction score
0
Hey as part of my Physics undergrad in second year I have to take a module in either Mathematical Modelling or Linear Algebra (both course descriptions below) In first year I preferred Linear Algebra ( a very basic intro course) but apparently in second year its just all proof and no calculations.
My question is, which is most useful to a physicist?



Mathematical Modeling: Module Content: Construction, interpretation and application of selected mathematical models arising in chemical kinetics, biology, ecology, epidemiology, medicine, and pharmacokinetics. The mathematical content of the models consists of calculus, linear and non-linear systems of ordinary differential and difference equations. Use of dynamical systems software.
Learning Outcomes: On successful completion of this module, students should be able to:
· Use coupled system of bilinear differential equations in ecological, epidemiological, chemical and other contexts to model competition, predator-pray and cooperation interactions;
· Use coupled system of linear differential equations to model mixing and exchange processes in different contexts;
· Use coupled systems of cubic differential equations to model evolution type phenomena;
· Carry out global analysis of coupled systems of nonlinear differential equations using techniques such as Lyapunov functions and trap regions;
· Solve linear systems of differential equations;
· Linearise and classify systems of nonlinear differential equation at equilibrium.

Linear Algebra: Module Content: Linear equations and matrices; vector spaces; determinants; linear transformations and eigenvalues; norms and inner products; linear operators and normal forms.
Learning Outcomes: On successful completion of this module, students should be able to:
· Verify the linearity of mappings on real and complex vector spaces,
· and the linear independence of sets of vectors;
· Evaluate bases, transition matrices and matrices representing linear transformations;
· Compute eigenvalues and eigenvectors of linear operators;
· Construct orthonormal bases for vector spaces;
· Verify properties of projection mappings, adjoint mappings, self-adjoint operators and isometries.
 
Physics news on Phys.org
Hmm, i try to give any opinion yah...

When I study about linear algebra,I found that it really helps me to calculate many calculation in Physics easily without doing too many substitution and elimination etc...
For example if u learn 2-4 degree freedom of oscillation, mechanic oscillation with 2-3 dots...

And in relation with Engineering Physics especially in Robotics, when I study Introduction to Robotics lectured by Ousama Khatib for Stanford University (U may download his difficult subject from youtube, here: http://www.youtube.com/watch?v=Mm5Tfm04cKk&feature=relmfu ),
then I found linear algbera is really useful to do transformation from a basis to another basis without using logic calculation anymore, just use matric, transform, etc...

I would like to say that I'm not expert in this robotic subject...
I am still undergraduate second year and much more interested in Modern Physics...
 
The stuff in the modeling course is nice but the stuff in the linear algebra course is essential. It is actually a little bit weird they let you chose between the two, since the LA course should be the prerequisite for the modeling course.
 
If you have to take quantum, then u must take LA
 
bp_psy said:
The stuff in the modeling course is nice but the stuff in the linear algebra course is essential. It is actually a little bit weird they let you chose between the two, since the LA course should be the prerequisite for the modeling course.
I almost completely agree with this statement ("essential" is a bit too strong for my taste since I've seen with how little actual physics some interdisciplinary branches of physics get away with). In case you really have to choose, I think the magic sentence for you might be
Construction, interpretation and application of selected mathematical models arising in chemical kinetics, biology, ecology, epidemiology, medicine, and pharmacokinetics.
So if you want to go into the fields of "chemical kinetics, biology, ecology, epidemiology, medicine, or pharmacokinetics" you might consider the modeling course over LA. Otherwise, the course may be of little benefit for you while linear algebra is assumed in a lot of more puristic physics (e.g. quantum mechanics), and a proper mathematical understanding surely won't hurt there.
 
I’ve been looking through the curricula of several European theoretical/mathematical physics MSc programs (ETH, Oxford, Cambridge, LMU, ENS Paris, etc), and I’m struck by how little emphasis they place on advanced fundamental courses. Nearly everything seems to be research-adjacent: string theory, quantum field theory, quantum optics, cosmology, soft matter physics, black hole radiation, etc. What I don’t see are the kinds of “second-pass fundamentals” I was hoping for, things like...
TL;DR Summary: I want to do a PhD in applied math but I hate group theory, is this a big problem? Hello, I am a second-year math and physics double major with a minor in data science. I just finished group theory (today actually), and it was my least favorite class in all of university so far. It doesn't interest me, and I am also very bad at it compared to other math courses I have done. The other courses I have done are calculus I-III, ODEs, Linear Algebra, and Prob/Stats. Is it a...

Similar threads

Replies
9
Views
3K
Replies
11
Views
2K
Replies
9
Views
2K
Replies
16
Views
2K
Back
Top