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Date: 7-7-2021
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Date: 13-7-2021
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Date: 23-5-2021
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A Hilbert space is a vector space with an inner product
such that the norm defined by
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turns into a complete metric space. If the metric defined by the norm is not complete, then
is instead known as an inner product space.
Examples of finite-dimensional Hilbert spaces include
1. The real numbers with
the vector dot product of
and
.
2. The complex numbers with
the vector dot product of
and the complex conjugate of
.
An example of an infinite-dimensional Hilbert space is , the set of all functions
such that the integral of
over the whole real line is finite. In this case, the inner product is
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A Hilbert space is always a Banach space, but the converse need not hold.
A (small) joke told in the hallways of MIT ran, "Do you know Hilbert? No? Then what are you doing in his space?" (S. A. Vaughn, pers. comm., Jul. 31, 2005).
REFERENCES:
Sansone, G. "Elementary Notions of Hilbert Space." §1.3 in Orthogonal Functions, rev. English ed. New York: Dover, pp. 5-10, 1991.
Stone, M. H. Linear Transformations in Hilbert Space and Their Applications Analysis. Providence, RI: Amer. Math. Soc., 1932.
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