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.