What Distinguishes Hilbert Spaces from Euclidean Spaces?

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Hilbert spaces differ from Euclidean spaces primarily in their dimensionality; while Euclidean spaces are finite-dimensional, Hilbert spaces can be either finite or infinite-dimensional. The convergence properties of sequences also vary, as certain theorems applicable in Euclidean spaces may not hold in Hilbert spaces due to their infinite dimensions. Euclidean space is a specific case of a finite-dimensional Hilbert space, characterized by the dot product as its inner product. Additionally, not all Hilbert spaces are infinite-dimensional, and completeness is a defining feature of Hilbert spaces, distinguishing them from general inner product spaces. Understanding these distinctions is crucial for grasping the underlying mathematical principles.
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ajayguhan said:
So we can say that hilbert space is a a inner product vector space which can be of finite or infinite dimension.if it's finite we can call it as eucledian space...?

Another question

Every vector space where inner product is defined is a hilbert space...is it True ?

No; you need to have a specific relationship between the inner-product and the metric:

the inner-product needs to generate the norm ( and so generate the metric which is itself

generated by the norm.). The space has to be complete under this norm, altho a metric space is,

in a sense, as good as a complete metric space, since it has a completion (tho it is a nice exercise to show that the completion preserves the fact that the metric is generated by the inner-product.)

This happens iff the inner-product satisfies the parallelogram law;

out of all $$L^p$$ and $$l^p$$ spaces, only p=2 gives you a Hilbert space.

See, e.g:

http://math.stackexchange.com/questions/294544/parallelogram-law-valid-in-banach-spaces
 
Last edited:

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