Finite-Dimensional Vector Spaces by Halmos

  • Context: Linear Algebra 
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SUMMARY

Paul Halmos' book "Finite-Dimensional Vector Spaces" presents finite-dimensional vector space theory as a simplified version of Hilbert space theory. Despite its excellent mathematical content, the book suffers from crowded typesetting and a lack of clear formatting, which can hinder readability. The discussion emphasizes that the material is best suited for readers with a solid foundation in linear algebra, as it demands good reading comprehension and attention to detail. Many readers recommend this book as a supplementary resource alongside other texts, such as Axler's work on linear algebra.

PREREQUISITES
  • Understanding of linear algebra concepts
  • Familiarity with Hilbert space theory
  • Ability to comprehend mathematical proofs
  • Experience with advanced reading comprehension in mathematics
NEXT STEPS
  • Explore "Linear Algebra Done Right" by Sheldon Axler
  • Study Hilbert space theory in more depth
  • Practice reading and understanding mathematical proofs
  • Investigate typesetting tools for mathematical texts
USEFUL FOR

Mathematicians, educators, and students with a background in linear algebra seeking to deepen their understanding of finite-dimensional vector spaces and their applications.

For those who have used this book

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    3
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This is a good solid book, by an expert on Hilbert spaces, whose goal was to present finite dimensional vector space theory as the easy case of Hilbert space theory. The book was written back before really good sophisticated type setting software came in vogue, so the material is crowded and crammed on the page in a way that can make it hard to read. Just look at the table of contents to see what I mean. The different topics are all run together in a single paragraph instead of being decently spread out for better display.

The discussion is more in words than symbols as well, not lengthy, but demanding good reading comprehension skills. The proofs are also intelligently written and demanding close attention. So the mathematics is excellent, but may be best appreciated by someone who already knows a good bit of the material. I benefited from it when teaching advanced linear algebra. He made some things clearer to me that I thought I already knew, and pointed out some aspects I had not known, because he understands them so well.

So for many of us probably a second book on the topic, as is Axler.
 

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