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Intrinsic flat distance

Intrinsic flat distance 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 Intrinsic flat distance rather than just read about it. In short: In mathematics, the intrinsic flat distance is a notion for distance between two Riemannian manifolds which is a generalization of Federer and Fleming's flat distance between submanifolds and integral currents lying in Euclidean space. Overview The Sormani–Wenger intrinsic flat (SWIF) distance is a distance between compact oriented Riemannian manifolds of the same dimension.

Key takeaways

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

Reference excerpt

In mathematics, the intrinsic flat distance is a notion for distance between two Riemannian manifolds which is a generalization of Federer and Fleming's flat distance between submanifolds and integral currents lying in Euclidean space.

Overview The Sormani–Wenger intrinsic flat (SWIF) distance is a distance between compact oriented Riemannian manifolds of the same dimension. More generally it defines the distance between two integral current spaces, (X,d,T), of the same dimension (see below). This class of spaces and this distance were first announced by mathematicians Sormani and Wenger at the Geometry Festival in 2009 and the detailed development of these notions appeared in the Journal of Differential Geometry in 2011. The SWIF distance is an intrinsic notion based upon the (extrinsic) flat distance between submanifolds and integral currents in Euclidean space developed by Federer and Fleming. The definition imitates Gromov's definition of the Gromov–Hausdorff distance in that it involves taking an infimum over all distance-preserving maps of the given spaces into all possible ambient spaces Z. Once in a common space Z, the flat distance between the images is taken by viewing the images of the spaces as integral currents in the sense of Ambrosio–Kirchheim. The rough idea in both intrinsic and extrinsic settings is to view the spaces as the boundary of a third space or region and to find the smallest weighted volume of this third space. In this way, spheres with many splines that contain increasingly small amounts of volume converge "SWIF-ly" to spheres.

Riemannian setting Given two compact oriented Riemannian manifolds, Mi, possibly with boundary:

dSWIF(M1, M2) = 0 iff there is an orientation preserving isometry from M1 to M2. If Mi converge in the Gromov–Hausdorff sense to a metric space Y then a subsequence of the Mi converge SWIF-ly to an integral current space contained in Y but not necessarily equal to Y. For example, the GH limit of a sequence of spheres with a long thin neck pinch is a pair of spheres with a line segment running between them while the SWIF limit is just the pair of spheres. The GH limit of a sequence of thinner and thinner tori is a circle but the flat limit is the 0 space. In the setting with nonnegative Ricci curvature and a uniform lower bound on volume, the GH and SWIF limits agree. If a sequence of manifolds converge in the Lipschitz sense to a limit Lipschitz manifold then the SWIF limit exists and has the same limit. Wenger's compactness theorem states that if a sequence of compact Riemannian manifolds, Mj, has a uniform upper bound on diameter, volume and boundary volume, then a subsequence converges SWIF-ly to an integral current space.

Integral current spaces An m dimensional integral current space (X,d,T) is a metric space (X,d) with an m-dimensional integral current structure T. More precisely, using notions of Ambrosio–Kirchheim, T is an m-dimensional integral current on the metric completion of X, and X is the set of positive density of the mass measure of T. As a consequence of deep theorems of Ambrosio–Kirchheim, X is then a countably Hm rectifiable metric space, so it is covered Hm almost everywhere by the images of bi-Lipschitz charts from compact subsets of Rm, it is endowed with an integer valued weight function and it has an orientation. In addition an integral current space has a well defined notion of boundary which is an (m − 1)-dimensional integral current space. A 0-dimensional integral current space is a finite collection of points with integer valued weights. One special integral current space found in every dimension is the 0 space. The intrinsic flat distance between two integral current spaces is defined as follows: dSWIF((X1, d1, T1), (X2, d2, T2,)) is defined to be the infimum of all numbers d F(f1* T1,f2* T2) for all metric spaces M and all distance preserving maps fi :Xi → Z. Here d F denotes flat distance between the integral currents in Z found by pushing forward the integral current structures Ti. Two integral current spaces have dSWIF = 0 if and only if there is a current preserving isometry between the spaces. All the above mentioned results may be stated in this more general setting as well, including Wenger's Compactness Theorem.

Applications

To prove certain GH limits are countably Hm rectifiable To understand smooth convergence away from singularities To understand convergence of Riemannian manifolds with boundary To study questions arising in general relativity To study questions arising in Gromov's paper on Plateau–Stein manifolds

References

External links Intrinsic Flat Distance Bibliographical Website https://sites.google.com/site/intrinsicflatconvergence/ Intrinsic Flat Distance Bibliographical Website (mirror) http://comet.lehman.cuny.edu/sormani/research/intrinsicflat.html Geometry Festival 2009 http://www.math.sunysb.edu/geomfest09/program.html

Worked examples

Example 1 — a first encounter with Intrinsic flat distance

Start with the simplest possible case. Write down what Intrinsic flat distance 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 Intrinsic flat distance 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 Intrinsic flat distance 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 Intrinsic flat distance

In research
Intrinsic flat distance 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 Intrinsic flat distance 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
Intrinsic flat distance is common in secondary-school and first-year university syllabi. It links to neighbouring topics Convergence (mathematics), Metric geometry, Riemannian geometry, so understanding it makes those chapters shorter.
In everyday life
Look for Intrinsic flat distance 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 Intrinsic flat distance in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Intrinsic flat distance 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 Intrinsic flat distance out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Intrinsic flat distance in simple terms?

In mathematics, the intrinsic flat distance is a notion for distance between two Riemannian manifolds which is a generalization of Federer and Fleming's flat distance between submanifolds and integral currents lying in Euclidean space. Overview The Sormani–Wenger intrinsic flat (SWIF) distance is a…

Why does Intrinsic flat distance 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 Intrinsic flat distance?

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 Intrinsic flat distance.

Tags

  • Convergence (mathematics)
  • Metric geometry
  • Riemannian geometry

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