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arXiv:1904.02539math.FA

An introduction to functional analysis for science and engineering

David A. B. Miller

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Abstract

This is a tutorial introduction to the functional analysis mathematics needed in many physical problems, such as in waves in continuous media. Functional analysis takes us beyond finite matrices, allowing us to work with infinite sets of continuous functions. It resolves important issues, such as whether, why and how we can practically reduce such problems to finite matrix approximations. It is, however, difficult to find a readable introduction that is efficient and comprehensible for scientists and engineers. Here, I have selected only the topics necessary for the most important results, but the argument is mathematically complete and self-contained. The article starts from sets and sequences of real numbers. It then develops spaces of vectors or functions, introducing the concepts of norms and metrics that allow us to consider how these can converge. Adding the inner product, it introduces Hilbert spaces, and the key forms of operators that map within or between such spaces. This leads to the concept of compact operators, which allows us to resolve many difficulties of working with infinite sets of vectors or functions. We then introduce Hilbert-Schmidt operators, which are compact operators encountered extensively in physical problems, such as those involving waves. Finally, it introduces the eigenfunctions for major classes of operators, and their powerful properties, and ends with singular-value decomposition of operators. This article is written in a style that is complementary to that of standard mathematical treatments; by relegating longer proofs to a separate section, I have attempted to retain a clear narrative flow and motivation in developing the mathematical structure. Hopefully, the result is useful to a broader readership who need to understand this mathematics, especially in physical science and engineering.

arXiv comments
Journal reference
DOI
Subjects
math.FAFunctional Analysis math-phMathematical Physics

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Jul 2023 to Jul 2023. Found in 1 HN submission from Jun 2026 to Jun 2026. Open submission discussions.

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Discussed in comments1 thread

  1. Functions are vectors 1 comment
    • I wish I could upvote this twice. This is the best basic introduction to concepts in functional analysis that I've seen. Another great overview that goes deeper into the math is [1]. Another fantastic application that the website doesn't mention is the composition / Koopman…

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