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Hilbert manifold

Hilbert manifold is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Hilbert manifold rather than just read about it. In short: In mathematics, a Hilbert manifold is a manifold modeled on Hilbert spaces. Thus it is a separable Hausdorff space in which each point has a neighbourhood homeomorphic to an infinite dimensional Hilbert space.

Key takeaways

  • Hilbert manifold belongs to mathematics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Hilbert manifold to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Hilbert manifold from memory before moving on to harder problems.

Reference excerpt

In mathematics, a Hilbert manifold is a manifold modeled on Hilbert spaces. Thus it is a separable Hausdorff space in which each point has a neighbourhood homeomorphic to an infinite dimensional Hilbert space. The concept of a Hilbert manifold provides a possibility of extending the theory of manifolds to infinite-dimensional setting. Analogous to the finite-dimensional situation, one can define a differentiable Hilbert manifold by considering a maximal atlas in which the transition maps are differentiable.

Properties Many basic constructions of manifold theory, such as the tangent space of a manifold and a tubular neighbourhood of a submanifold (of finite codimension), carry over from the finite-dimensional situation to the Hilbert setting with little change. However, in statements involving maps between manifolds one often has to restrict consideration to Fredholm maps, that is, maps whose differential at every point is Fredholm. The reason for this is that Sard's lemma holds for Fredholm maps, but not in general. Notwithstanding this difference, Hilbert manifolds have several very nice properties:

Kuiper's theorem: If X {\displaystyle X} is a compact topological space or has the homotopy type of a CW complex, then every (real or complex) Hilbert space bundle over X {\displaystyle X} is trivial. In particular, every Hilbert manifold is parallelizable. Every smooth Hilbert manifold can be smoothly embedded onto an open subset of the model Hilbert space. Every homotopy equivalence between two Hilbert manifolds is homotopic to a diffeomorphism. In particular every two homotopy equivalent Hilbert manifolds are already diffeomorphic. This stands in contrast to lens spaces and exotic spheres, which demonstrate that in the finite-dimensional situation, homotopy equivalence, homeomorphism, and diffeomorphism of manifolds are distinct properties. Although Sard’s Theorem does not hold in general, every continuous map f : X → R n {\displaystyle f\colon X\to \mathbb {R} ^{n}} from a Hilbert manifold can be arbitrarily closely approximated by a smooth map g : X → R n {\displaystyle g\colon X\to \mathbb {R} ^{n}} that has no critical points.

Examples Any Hilbert space H {\displaystyle H} is a Hilbert manifold with a single global chart given by the identity function on H . {\displaystyle H.} Moreover, since H {\displaystyle H} is a vector space, the tangent space T p H {\displaystyle \mathrm {T} _{p}H} to H {\displaystyle H} at any point p ∈ H {\displaystyle p\in H} is canonically isomorphic to H {\displaystyle H} itself, and so has a natural inner product, the “same” as the one on H . {\displaystyle H.} Thus H {\displaystyle H} can be given the structure of a Riemannian manifold with metric g ( v , w ) ( p ) := ⟨ v , w ⟩ H for v , w ∈ T p H , {\displaystyle g(v,w)(p):=\langle v,w\rangle _{H}{\text{ for }}v,w\in \mathrm {T} _{p}H,} where ⟨ ⋅ , ⋅ ⟩ H {\displaystyle \langle \cdot ,\cdot \rangle _{H}} denotes the inner product in H . {\displaystyle H.}

Similarly, any open subset of a Hilbert space is a Hilbert manifold and a Riemannian manifold under the same construction as for the whole space. There are several mapping spaces between manifolds which can be viewed as Hilbert spaces by only considering maps of suitable Sobolev class. For example we can consider the space L ⁡ ( M ) {\displaystyle \operatorname {L} (M)} of all H 1 {\displaystyle H^{1}} maps from the unit circle S 1 {\displaystyle S^{1}} into a manifold M . {\displaystyle M.} This can be topologized via the compact open topology as a subspace of the space of all continuous mappings from the circle to M , {\displaystyle M,} that is, the free loop space of M . {\displaystyle M.} The Sobolev kind mapping space L ⁡ ( M ) {\displaystyle \operatorname {L} (M)} described above is homotopy equivalent to the free loop space. This makes it suited to the study of algebraic topology of the free loop space, especially in the field of string topology. We can do an analogous Sobolev construction for the loop space, making it a codimension- d {\displaystyle d} Hilbert submanifold of L ⁡ ( M ) , {\displaystyle \operatorname {L} (M),} where d {\displaystyle d} is the dimension of M . {\displaystyle M.}

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Hilbert manifold

Start with the simplest possible case. Write down what Hilbert manifold claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Hilbert manifold before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Hilbert manifold ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Hilbert manifold

In research
Hilbert manifold appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Hilbert manifold in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Hilbert manifold is common in secondary-school and first-year university syllabi. It links to neighbouring topics Differential geometry, General topology, Generalized manifolds, so understanding it makes those chapters shorter.
In everyday life
Look for Hilbert manifold outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Hilbert manifold in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Hilbert manifold means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Hilbert manifold out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Hilbert manifold in simple terms?

In mathematics, a Hilbert manifold is a manifold modeled on Hilbert spaces. Thus it is a separable Hausdorff space in which each point has a neighbourhood homeomorphic to an infinite dimensional Hilbert space.

Why does Hilbert manifold matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Hilbert manifold?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Hilbert manifold.

Tags

  • Differential geometry
  • General topology
  • Generalized manifolds
  • Manifolds
  • Nonlinear functional analysis
  • Riemannian geometry
  • Riemannian manifolds
  • Structures on manifolds

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