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Reeb graph

Reeb graph is a science 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 Reeb graph rather than just read about it. In short: A Reeb graph (named after Georges Reeb by René Thom) is a mathematical object reflecting the evolution of the level sets of a real-valued function on a manifold. A similar concept was introduced by G.M.

Reeb graph — main illustration
Reeb graph — illustration

Key takeaways

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

Reference excerpt

A Reeb graph (named after Georges Reeb by René Thom) is a mathematical object reflecting the evolution of the level sets of a real-valued function on a manifold. A similar concept was introduced by G.M. Adelson-Velskii and A.S. Kronrod and applied to analysis of Hilbert's thirteenth problem. Proposed by G. Reeb as a tool in Morse theory, Reeb graphs are the natural tool to study multivalued functional relationships between 2D scalar fields ψ {\displaystyle \psi } , λ {\displaystyle \lambda } , and ϕ {\displaystyle \phi } arising from the conditions

∇ ψ = λ ∇ ϕ {\displaystyle \nabla \psi =\lambda \nabla \phi } and λ ≠ 0 {\displaystyle \lambda \neq 0} , because these relationships are single-valued when restricted to a region associated with an individual edge of the Reeb graph. This general principle was first used to study neutral surfaces in oceanography. Reeb graphs have also found a wide variety of applications in computational geometry and computer graphics, including computer aided geometric design, topology-based shape matching, topological data analysis, topological simplification and cleaning, surface segmentation and parametrization, efficient computation of level sets, neuroscience, and geometrical thermodynamics. In a special case of a function on a flat space (technically a simply connected domain), the Reeb graph forms a polytree and is also called a contour tree. Level set graphs help statistical inference related to estimating probability density functions and regression functions, and they can be used in cluster analysis and function optimization, among other things.

Formal definition Given a topological space X and a continuous function f: X → R, define an equivalence relation ~ on X where p~q whenever p and q belong to the same connected component of a single level set f−1(c) for some real c. The Reeb graph is the quotient space X /~ endowed with the quotient topology. Generally, this quotient space does not have the structure of a finite graph. Even for a smooth function on a smooth manifold, the Reeb graph can be not one-dimensional and even non-Hausdorff space. In fact, the compactness of the manifold is crucial: The Reeb graph of a smooth function on a closed manifold is a one-dimensional Peano continuum that is homotopy equivalent to a finite graph. In particular, the Reeb graph of a smooth function on a closed manifold with a finite number of critical values –which is the case of Morse functions, Morse–Bott functions or functions with isolated critical points – has the structure of a finite graph.

Structure of the Reeb graph defined by a smooth function Let f : M → R {\displaystyle f:M\to {\mathbb {R} }} be a smooth function on a closed manifold M {\displaystyle M} . The structure of the Reeb graph R f {\displaystyle R_{f}} depends both on the manifold M {\displaystyle M} and on the class of the function f {\displaystyle f} .

The first Betti number of the Reeb graph Since for a smooth function on a closed manifold, the Reeb graph R f {\displaystyle R_{f}} is one-dimensional, we consider only its first Betti number b 1 ( R f ) {\displaystyle b_{1}(R_{f})} ; if R f {\displaystyle R_{f}} has the structure of a finite graph, then b 1 ( R f ) {\displaystyle b_{1}(R_{f})} is the cycle rank of this graph. An upper bound holds

b 1 ( R f ) ≤ c o r a n k ( π 1 ( M ) ) {\displaystyle b_{1}(R_{f})\leq corank(\pi _{1}(M))} , where c o r a n k ( π 1 ( M ) ) {\displaystyle corank(\pi _{1}(M))} is the co-rank of the fundamental group of the manifold. If dim ⁡ M ≥ 3 {\displaystyle \dim M\geq 3} , this bound is tight even in the class of simple Morse functions. If dim ⁡ M = 2 {\displaystyle \dim M=2} , for smooth functions this bound is also tight, and in terms of the genus g {\displaystyle g} of the surface M 2 {\displaystyle M^{2}} the bound can be rewritten as

… excerpt ends here. Continue reading the full article.

Illustrations

Reeb graph: Reeb graph of the height function on the torus.
Reeb graph of the height function on the torus.

Worked examples

Example 1 — a first encounter with Reeb graph

Start with the simplest possible case. Write down what Reeb graph claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, 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 Reeb graph 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 Reeb graph 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 Reeb graph

In research
Reeb graph appears in science 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 Reeb graph 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
Reeb graph is common in secondary-school and first-year university syllabi. It links to neighbouring topics Application-specific graphs, Graph families, so understanding it makes those chapters shorter.
In everyday life
Look for Reeb graph 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 Reeb graph in 20 minutes

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

Frequently asked questions

What is Reeb graph in simple terms?

A Reeb graph (named after Georges Reeb by René Thom) is a mathematical object reflecting the evolution of the level sets of a real-valued function on a manifold. A similar concept was introduced by G.M.

Why does Reeb graph matter?

Because it connects several science 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 Reeb graph?

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 Reeb graph.

Tags

  • Application-specific graphs
  • Graph families

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