Spaces that narrowly miss becoming Hilbert Spaces
A Hilbert space is a vector space with:
- an inner product, which defines lengths and angles; and
- completeness—every Cauchy sequence converges to an element still inside the space.
Several important spaces miss by just one condition.
1. Polynomials with the inner product: not complete
Let
with
This is a valid inner-product space. But a sequence of polynomials can converge in to a non-polynomial function, such as .
Because the limit is outside , the space is not complete and therefore not Hilbert.
Its completion is , which is a Hilbert space.
2. Finite sequences: an “unfinished”
Consider
with the usual inner product
Every vector has finite support, so the sum is well defined. Now consider
This is a Cauchy sequence, but its limit would be
which has infinitely many nonzero entries and therefore is not in .
So is an inner-product space but not complete. Its completion is .
3. Continuous functions with the norm: limits can become discontinuous
Take , the continuous functions on , with
Continuous functions can converge in this norm to a discontinuous function—for example, increasingly sharp continuous approximations to a step function.
Thus is not complete under the norm. Once again, its completion is .
A subtle point: is complete under the supremum norm, but that norm does not make it a Hilbert space.
4. with the supremum norm: complete, but no compatible inner product
Define
This makes a complete normed space—a Banach space. However, the norm does not come from an inner product.
A norm induced by an inner product must satisfy the parallelogram identity:
The supremum norm does not always satisfy this identity. Therefore, with is Banach but not Hilbert.
5. for : complete, but with the wrong geometry
For ,
These spaces are complete. But when , their usual norm does not come from an inner product.
For example, take
In ,
The parallelogram identity would require
which holds only when .
Thus are Banach spaces but not Hilbert spaces.
6. for : complete, but not inner-product spaces
Similarly,
makes complete for . But its usual norm comes from an inner product only for .
So and , for example, have well-behaved limits but lack Hilbert-space notions such as orthogonality, angles, and orthogonal projection.
7. Minkowski spacetime: has a bilinear form, but it is not positive definite
Special relativity uses
This resembles an inner product, but it can be negative or zero even for a nonzero vector. A lightlike vector satisfies
It therefore fails the positive-definiteness requirement. Minkowski space is an indefinite inner-product space, not a Hilbert space.
8. Smooth functions: too restrictive to contain all their limits
Consider , the infinitely differentiable functions, with the inner product.
A sequence of smooth functions may converge in to a nonsmooth or discontinuous function. The limit therefore leaves .
So the space possesses an inner product but is not complete in the resulting norm.
The two most common “near misses” are therefore:
| Space | Inner product? | Complete? | Hilbert? |
|---|---|---|---|
| with norm | Yes | No | No |
| Polynomials with norm | Yes | No | No |
| with norm | Yes | No | No |
| with sup norm | No compatible one | Yes | No |
| No compatible one | Yes | No | |
| No compatible one | Yes | No | |
| Minkowski space | Indefinite form | Finite-dimensional | No |
| or | Yes | Yes | Yes |
The closest misses are , polynomials, and smooth functions: they already possess the correct Hilbert-space geometry but contain “holes.” Completing them fills those holes and produces a genuine Hilbert space.
Leave a Reply