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2018 | OriginalPaper | Chapter

12. Hilbert Spaces

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Abstract

Among the infinite-dimensional Banach spaces, Hilbert spaces are distinguished by their relative simplicity. In Hilbert spaces we are able to use our geometric intuition to its fullest potential: measuring angles between vectors, applying Pythagoras’ theorem, and using orthogonal projections. Here we do not run into anomalous phenomena such as non-complemented subspaces or, say, linear functionals that do not attain their upper bound on the unit sphere. All separable infinite-dimensional Hilbert spaces are isomorphic to one another. Thanks to this relative simplicity, Hilbert spaces are often used in applications. In fact, whenever possible (true, this is not always the case), one seeks to use the language of Hilbert spaces rather than that of general Banach or topological vector spaces. The theory of operators in Hilbert spaces is developed in much more depth than that in the general case, which is yet another reason why this technique is frequently employed in applications.

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Footnotes
1
Although as far as we know, flying saucers, poltergeists, telepathy, and Big Foot are not encountered even in general Banach spaces!
 
2
Citation from the Wikipedia article titled “Cauchy–Schwarz inequality” that explains the different names used for this inequality: “The inequality for sums was published by Augustin-Louis Cauchy (1821), while the corresponding inequality for integrals was first proved by Viktor Bunyakovsky (1859). The modern proof of the integral inequality was given by Hermann Amandus Schwarz (1888)”.
 
3
The “Parallelogram Law” was approved by the Athens Popular Assembly around 345 B.C. and stated that in a parallelogram the sum of the squared lengths of the diagonals should be equal to the sum of the squares of the lengths of all four sides. https://static-content.springer.com/image/chp%3A10.1007%2F978-3-319-92004-7_12/432947_1_En_12_IEq61_HTML.gif
 
4
Motivated by this terminology, many authors call general spaces with a scalar product “pre-Hilbert spaces”.
 
5
If you succeed in doing so, publish the result! At least at the time these lecture notes were written, the problem was still open. The subsets \(A \subset H\) enjoying the property that for every \(h \in H\) there exists in A a unique element closest to h are called Chebyshev sets. A Google search with the keywords “convexity of Chebyshev sets" will give the reader dozens of references to papers about this challenging open problem.
 
6
It’s funny to speak about the “form of forms”. Mathematical language has many such pearls. One of my favorite ones is the inequality \(n > N\) in the standard definition of the limit: \(\lim \limits _{n\rightarrow \infty } a_n = a\) if \(\forall {\varepsilon> 0}\,\exists { N \in \mathbb N}\,\forall {n > N}\,\,|a_n - a| < \varepsilon \).
 
7
Despite the simplicity of its formulation, this exercise is not simple.
 
8
Since here the elements of the space are functions, “eigenvectors” are mostly referred to as “eigenfunctions”.
 
Metadata
Title
Hilbert Spaces
Author
Vladimir Kadets
Copyright Year
2018
DOI
https://doi.org/10.1007/978-3-319-92004-7_12

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