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I took a semester of QM. Partial differential equations, linear algegra, statistics, and vectors analysis are useful tools in learning and using QM.

2007-12-04 05:49:01 · answer #1 · answered by oldprof 7 · 0 0

While the other answers are correct, understanding QM is not so much a matter of math than it is one of physics. You should be absolutely firm in the Hamiltonian formulation of classical mechanics on both a mathematical as well a physical level. And for that alone you will need advanced calculus and linear algebra.

Stochastics aka probability theory is not really required. The only thing you need from that in QM is the definition of a probability distribution. A lot of people confuse that with "statistics", which is the engineering application of probability theory when it is used on real, finite data rather than abstract probability distributions.

If you want to understand the true math underlying QM, you will have to take functional calculus.

http://en.wikipedia.org/wiki/Functional_calculus

2007-12-04 06:03:29 · answer #2 · answered by Anonymous · 1 0

You should be above average in Algebra, Calculus, and Statistics to say the least.

2007-12-04 05:42:38 · answer #3 · answered by reg 5 · 0 0

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