Comprehensive math books for summer self-study

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Discussion Overview

The discussion revolves around selecting appropriate mathematics books for summer self-study, particularly in relation to preparing for physics topics such as quantum mechanics and statistical mechanics. Participants explore various book options and their relevance to the goals of the original poster.

Discussion Character

  • Exploratory
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • The original poster is considering two math books: "Mathematical Methods in the Physical Sciences" by Mary Boas and "Mathematics: Its Content, Methods and Meaning" by A. D. Aleksandrov, A. N. Kolmogorov, and M. A. Lavrent'ev, expressing uncertainty about which to choose.
  • Some participants note that the two books differ significantly in style and content, suggesting that the original poster clarify their goals for studying math.
  • The original poster outlines two main goals: preparing mathematically for quantum mechanics and statistical mechanics, and a general interest in mathematics beyond its application to physics.
  • The original poster expresses a mixed sentiment towards traditional mathematics education, finding some topics like combinatorics appealing while feeling disconnected from more abstract concepts.
  • One participant recommends studying linear algebra and probability as preparation for quantum mechanics and suggests that Boas could be a suitable resource, while also mentioning a free textbook by Treil for a more rigorous approach.

Areas of Agreement / Disagreement

Participants do not reach a consensus on which book is better suited for the original poster's needs, and multiple perspectives on the goals and approaches to studying mathematics are presented.

Contextual Notes

The discussion reflects varying opinions on the effectiveness and relevance of different mathematical texts, as well as differing views on the nature of mathematics education itself.

ahmed markhoos
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Hello,

I'm planning to spend my summer studying some physics and maths books.

Physics books aren't my problem, math books are. I took " calculus 1/2 & differential equations " till now and a material of mathematical methods (vector analysis/general coordinates/complex/gamma-beta functions/ differential equations).

I was thinking about one of two books:
1- Mathematical methods in the physical sciences By: Mary Boas (We used it for mathematical methods).
2- Mathematics: Its content, methods and meaning By: A. D. Aleksandrov , A. N. Kolmogorov ,M. A. Lavrent’ev.

They say they are both good, but I'm really hesitated between the two and between other good books.
 
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Those are very very different books, both in style and in contents. Maybe you should tell us what your goals are? Why do you want to learn math?
 
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micromass said:
Those are very very different books, both in style and in contents. Maybe you should tell us what your goals are? Why do you want to learn math?

Thank you for your reply.

I have actually two main goals:
1- I want to prepare myself mathematically for subjects like quantum/statistical and physics as whole.
2- I'm interested in math even if it's not related with physics.

-- Sometimes I get really lost when I try to recognize my feelings toward math. I really like it as a subject that has no boundaries except rationality, but at the same time most of what they teach in math majors "or maybe a big branch of math" are bunch of meaningless formulas and rigid symbols-- at least this is their way of teaching. I really don't like that kind of math, things like Brouwer fixed point theorem, combinatorics really attract me to math. actually I think this is why I'm majoring physics. LoL, anyway it's just thoughts.
 
If you want to prepare for QM or stat mech, then I recommend studying linear algebra and probability. Boas should be good for that. But you might also want to study it more rigorously (which would be helpful for QM). Treil has a free textbook that is really good: http://www.math.brown.edu/~treil/papers/LADW/LADW.html (I hope you are a bit familiar with matrices and basic vectors).
 
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