Linear Algebra thats needed in QM?

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Discussion Overview

The discussion centers around the relationship between linear algebra (LA) and quantum mechanics (QM), specifically addressing the extent of LA knowledge required for success in QM courses. Participants explore the relevance of various LA concepts and the role of differential equations (DE) in QM.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Homework-related

Main Points Raised

  • One participant inquires about the specific LA topics necessary for QM, expressing difficulty in mastering theorems and proofs.
  • Another participant suggests that matrices, eigenvalues, and eigenvectors are heavily utilized in QM, indicating a greater reliance on LA than DE.
  • A different viewpoint emphasizes the importance of being familiar with the language of LA rather than mastering all concepts, mentioning Hamiltonian and Hermitian operators as relevant.
  • One participant reassures that only basic LA concepts, such as determinants and eigenvalues, are needed, and that prior experience with LA is sufficient even after a break.
  • It is noted that advanced undergraduate QM classes typically cover necessary LA topics, and that students often learn LA concepts incidentally while studying QM.

Areas of Agreement / Disagreement

Participants generally agree that a foundational understanding of LA is beneficial for QM, but there is no consensus on the depth of knowledge required or the importance of DE in QM. Multiple perspectives on the necessity of mastering LA before taking QM are presented.

Contextual Notes

Some participants mention specific LA topics like matrix multiplication and linear operators as essential, while others suggest that familiarity with the concepts is more important than mastery. The discussion reflects varying levels of confidence regarding the application of DE in QM.

RasslinGod
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Hi,

so I am currently taking LA + Diff. eqtns in one class right now. I am planning to take QM in the summer.

So I am wondering, how much of LA is needed for QM? My reason for askign this is that there are so many theorems and properties of matricis that i honestly can't master all of them, and i have difficulty understanding the proofs of many theorems. I'm wondering how much QM uses LA?

What are the topics that i need to have down solidly?
Also, are DE important in QM?
 
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You'll going to use matrices and that eigenvalues/eigenvectors stuff quite a bit. IMO, I say I used more LA than DE in QM
 
Well, I don't know what your LA class covers, but eigenvalues and eigenvectors are important. Hamiltonian operators are nice to know, same with Hermitian Operators.

In reality, I think a lot of the LA you see will be knowing the language. I don't think anyone expects you to maser LA, but it's important to be comfortable speaking in those terms used in LA.
 
LA and Diff EQ's are important for QM, but I wouldn't worry too much. I had over a year's break between LA and QM and I still remembered enough to feel comfortable in the class.

Only the very basics will be used, things like taking a determinant, eigenvalues, eigenvectors, etc. The nice thing about QM is that all of your operators are Hermitian, so that limits what you will potentially use. Overall it's not that bad.

As for Diff EQ's, I've only had to "use" it a few times, and it was only in derivations. I've never had to actually use it to solve a problem. Well, none of the really complicated stuff. What you usually do is separation of variables, which is pretty easy, and solve from there.
 
They usually teach you all the LA you need in an advanced undergraduate QM class. All you need to get by is sophomore level LA. I've found that in QM, I learn a lot of LA without even being aware that I'm learning LA. I actually took an LA course after senior quantum. Every couple of days I'd find myself saying, "hey, I know about that!" So I don't think it's that important to worry about mastering LA before studying quantum. You need to know the basics, like matrix multiplication, linear operators, eigenstuff, etc. But that's about it.
 

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