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Graph (topology)

Graph (topology) 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 Graph (topology) rather than just read about it. In short: In topology, a branch of mathematics, a graph is a topological space which arises from a usual graph G = ( E , V ) {\displaystyle G=(E,V)} by replacing vertices by points and each edge e = x y ∈ E {\displaystyle e=xy\in E} by a copy of the unit interval I = [ 0 , 1 ] {\displaystyle I=[0,1]} , where 0 {\displaystyle 0} is identified with the point associated to x {\displaystyle x} and 1 {\displaystyle 1} with the poi…

Key takeaways

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

Reference excerpt

In topology, a branch of mathematics, a graph is a topological space which arises from a usual graph G = ( E , V ) {\displaystyle G=(E,V)} by replacing vertices by points and each edge e = x y ∈ E {\displaystyle e=xy\in E} by a copy of the unit interval I = [ 0 , 1 ] {\displaystyle I=[0,1]} , where 0 {\displaystyle 0} is identified with the point associated to x {\displaystyle x} and 1 {\displaystyle 1} with the point associated to y {\displaystyle y} . That is, as topological spaces, graphs are exactly the simplicial 1-complexes and also exactly the one-dimensional CW complexes. Thus, in particular, it bears the quotient topology of the set

X 0 ⊔ ⨆ e ∈ E I e {\displaystyle X_{0}\sqcup \bigsqcup _{e\in E}I_{e}}

under the quotient map used for gluing. Here X 0 {\displaystyle X_{0}} is the 0-skeleton (consisting of one point for each vertex x ∈ V {\displaystyle x\in V} ), I e {\displaystyle I_{e}} are the closed intervals glued to it, one for each edge e ∈ E {\displaystyle e\in E} , and ⊔ {\displaystyle \sqcup } is the disjoint union. The topology on this space is called the graph topology.

Subgraphs and trees A subgraph of a graph X {\displaystyle X} is a subspace Y ⊆ X {\displaystyle Y\subseteq X} which is also a graph and whose nodes are all contained in the 0-skeleton of X {\displaystyle X} . Y {\displaystyle Y} is a subgraph if and only if it consists of vertices and edges from X {\displaystyle X} and is closed. A subgraph T ⊆ X {\displaystyle T\subseteq X} is called a tree if it is contractible as a topological space. This can be shown equivalent to the usual definition of a tree in graph theory, namely a connected graph without cycles.

Properties The associated topological space of a graph is connected (with respect to the graph topology) if and only if the original graph is connected. Every connected graph X {\displaystyle X} contains at least one maximal tree T ⊆ X {\displaystyle T\subseteq X} , that is, a tree that is maximal with respect to the order induced by set inclusion on the subgraphs of X {\displaystyle X} which are trees. If X {\displaystyle X} is a graph and T ⊆ X {\displaystyle T\subseteq X} a maximal tree, then the fundamental group π 1 ( X ) {\displaystyle \pi _{1}(X)} equals the free group generated by elements ( f α ) α ∈ A {\displaystyle (f_{\alpha })_{\alpha \in A}} , where the { f α } {\displaystyle \{f_{\alpha }\}} correspond bijectively to the edges of X ∖ T {\displaystyle X\setminus T} ; in fact, X ∖ T {\displaystyle X\setminus T} is homotopy equivalent to a wedge sum of circles. Forming the topological space associated to a graph as above amounts to a functor from the category of graphs to the category of topological spaces. Every covering space projecting to a graph is also a graph.

See also Graph homology Topological graph theory Nielsen–Schreier theorem, whose standard proof makes use of this concept.

References

Worked examples

Example 1 — a first encounter with Graph (topology)

Start with the simplest possible case. Write down what Graph (topology) 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 Graph (topology) 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 Graph (topology) 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 Graph (topology)

In research
Graph (topology) 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 Graph (topology) 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
Graph (topology) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Topological spaces, so understanding it makes those chapters shorter.
In everyday life
Look for Graph (topology) 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 Graph (topology) in 20 minutes

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

Frequently asked questions

What is Graph (topology) in simple terms?

In topology, a branch of mathematics, a graph is a topological space which arises from a usual graph G = ( E , V ) {\displaystyle G=(E,V)} by replacing vertices by points and each edge e = x y ∈ E {\displaystyle e=xy\in E} by a copy of the unit interval I = [ 0 , 1 ] {\displaystyle I=[0,1]} , where…

Why does Graph (topology) 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 Graph (topology)?

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 Graph (topology).

Tags

  • Topological spaces

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