Where can I find a challenging but rewarding follow-up to Spivak's Calculus?

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Discussion Overview

The discussion revolves around finding a challenging follow-up to Spivak's Calculus, specifically focusing on multivariate analysis and the necessary background in linear algebra. Participants share recommendations for books that align with a theoretical approach rather than a computational one.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant expresses a desire for a follow-up book on multivariate analysis that is similar in spirit to Spivak's work, emphasizing a theoretical focus.
  • Another suggests Courant's volume II as a potential fit, noting similarities in writing style with Spivak, while advising a solid understanding of linear algebra first.
  • Some participants argue that multivariate analysis inherently relies on linear algebra, citing the inverse function theorem as a key example.
  • Several recommendations for linear algebra texts are made, including Axler's "Linear Algebra Done Right" and Hubbard's book, which covers linear algebra and multivariable calculus.
  • One participant mentions Munkres' "Analysis on Manifolds" as a gentler, more computational text, while another seeks a more theoretical approach.
  • There is discussion about the quality of Spivak's "Calculus on Manifolds," with mixed opinions on its motivational quality and the presence of epsilon-delta proofs.
  • Participants share insights on the availability and pricing of recommended texts, with suggestions for finding cheaper editions online.
  • Additional books are mentioned, such as "Advanced Calculus" by Loomis and Sternberg, and various vector analysis texts, highlighting their value and content.

Areas of Agreement / Disagreement

Participants generally agree on the importance of linear algebra for understanding multivariate analysis, but there are multiple competing views on the best resources and approaches to take. The discussion remains unresolved regarding the ideal follow-up text.

Contextual Notes

Some participants note the dependence on prior knowledge of linear algebra and the varying levels of computational versus theoretical focus in the suggested texts. There are also concerns about the pricing of recommended books.

Astrum
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I'm finishing up Spivak, after a break from "pure" math. I'm looking for a good follow up on multivariate analysis. I've heard that "Calculus on Manifolds" uses a lot of linear algebra (which I know very little of), so I'm on the look out for another suggestion.

I'm looking for a book on the analysis side, rather than computational, in the spirit of Spivak (which is rather challenging, yet rewarding!).

Suggestions?
 
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Courant volume II( Calculus) might be want you are looking for. I think you'll find a lot of similiarity between the way Spivak and Courant write and introduction material.

However, I do suggest you hold off on proof focused multivariate book, until you have a decent foot hold in linear algebra. I think, in many ways, the concepts form a more clear and concise picture when you can look at the subject from the lense of linear algebra.
 
I doubt there exists a multivariate analysis book that doesn't heavily use LA. On the most basic level, arguably the most important theorem in multivariate analysis, the inverse function theorem, is itself one that relies on linear algebra.
 
Alright, so, I think I'll use Stewart for multivariate (computational).

Can you recommend a LA book? And after this, I can move on to a proof based text, correct?

By the way, I like the smell of Spivak's book. O.o
 
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Astrum said:
Alright, so, I think I'll use Stewart for multivariate (computational).

Can you recommend a LA book? And after this, I can move on to a proof based text, correct?

By the way, I like the smell of Spivak's book. O.o
I really like Axler, Linear Algebra Done Right. You can go to the math subtextbook forum to read reviews and opinions of it.
 
micromass said:
I think you might want to do a book like Hubbard: https://www.amazon.com/dp/0130414085/?tag=pfamazon01-20

It covers the necessary linear algebra in a nice way and then goes to multivariable calculus.

x2. I think it will satisfy both your computational and theoretical needs. Beautiful book. Everything is well motivated and there are even many interesting applications. This book gets me incredibly excited about math every time I read it. If you include the appendix, you will be busy for a while.
 
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Jorriss said:
I really like Axler, Linear Algebra Done Right. You can go to the math subtextbook forum to read reviews and opinions of it.

I'll check this one out, thanks.
micromass said:
I think you might want to do a book like Hubbard: https://www.amazon.com/dp/0130414085/?tag=pfamazon01-20

It covers the necessary linear algebra in a nice way and then goes to multivariable calculus.

This is pretty expensive, is the 2nd edition really better than the first? I'd like to save some money, if possible.
 
There is also the much more gentle but unfortunately very computational "Analysis on Manifolds" - Munkres that you can take a look at.
 
  • #10
WannabeNewton said:
There is also the much more gentle but unfortunately very computational "Analysis on Manifolds" - Munkres that you can take a look at.

I'm really looking for a theoretical pure math approach to it. I've got a book (two in fact) for computational, which is good enough for physics, I suppose, I just happen to enjoy pure math.

I'm thinking of two different approaches. 1. Buy the all in one book, or 2. buy Linear Algebra Done Right, and I'll buy Spivak after.

Has anyone taken a look at Calculus on Manifolds from Spivak?
 
  • #11
Yes I am rather well acquainted with the book. The exercises are much better than those in Munkres but it isn't the best multivariate analysis book out there; it is rather unmotivated and is not as good as his amazing single variable calculus book. Still, it's better than Munkres in my opinion. There aren't many epsilon delta proofs in it which is a rather large disappointment since they are so fun, even in higher dimensions, but he has a lot of important elementary results regarding differential forms (and more importantly integration of forms which is so important in physics that you just HAVE to look at it from a pure math perspective). Micro's suggestion of Hubbard is probably the best at the level you are in considering Spivak makes use of a lot of linear algebra that he assumes the reader already knows.
 
  • #12
  • #13
Even if you get another book, Advanced Calculus by Lynn H. Loomis and Shlomo Sternberg is very good at a great value of 0$.
http://www.math.harvard.edu/~shlomo/
It has self contained basic linear algebra.

Many books are good.
Vector Analysis by H. B. Phillips is good, but out of print. General Vector and Dyadic Analysis by Chen-To Tai is worth looking at, particularly for its coverage of common errors people make, but way too expensive to buy. Vectors, Tensors and the Basic Equations of Fluid Mechanics by Rutherford Aris is cheap and worth having even though it is a bit old fashioned, the first three chapters cover vectors, later chapters unsurprising cover tensors and the basic equations of fluid mechanics.
 
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  • #15
You can buy the current edition straight from the publisher (Matrix Editions) for approximately $70. I don't know why everyone charges so much for this book (even used on Amazon). This book is very worth the $70 (I usually won't pay more than $15-20 for a book). But I would jump on that $25 older edition.
 

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