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Peripheral cycle

Peripheral cycle 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 Peripheral cycle rather than just read about it. In short: In graph theory, a peripheral cycle (or peripheral circuit) in an undirected graph is, intuitively, a cycle that does not separate any part of the graph from any other part. Peripheral cycles (or, as they were initially called, peripheral polygons, because Tutte called cycles "polygons") were first studied by Tutte (1963), and play important roles in the characterization of planar graphs and in generating the cycle…

Peripheral cycle — main illustration
Peripheral cycle — illustration

Key takeaways

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

Reference excerpt

In graph theory, a peripheral cycle (or peripheral circuit) in an undirected graph is, intuitively, a cycle that does not separate any part of the graph from any other part. Peripheral cycles (or, as they were initially called, peripheral polygons, because Tutte called cycles "polygons") were first studied by Tutte (1963), and play important roles in the characterization of planar graphs and in generating the cycle spaces of nonplanar graphs.

Definitions A peripheral cycle C {\displaystyle C} in a graph G {\displaystyle G} can be defined formally in one of several equivalent ways:

C {\displaystyle C} is peripheral if it is a simple cycle in a connected graph with the property that, for every two edges e 1 {\displaystyle e_{1}} and e 2 {\displaystyle e_{2}} in G ∖ C {\displaystyle G\setminus C} , there exists a path in G {\displaystyle G} that starts with e 1 {\displaystyle e_{1}} , ends with e 2 {\displaystyle e_{2}} , and has no interior vertices belonging to C {\displaystyle C} . If C {\displaystyle C} is any subgraph of G {\displaystyle G} , a bridge of C {\displaystyle C} is a minimal subgraph B {\displaystyle B} of G {\displaystyle G} that is edge-disjoint from C {\displaystyle C} and that has the property that all of its points of attachment (vertices adjacent to edges in both B {\displaystyle B} and G ∖ B {\displaystyle G\setminus B} ) belong to C {\displaystyle C} . A simple cycle C {\displaystyle C} is peripheral if it has exactly one bridge. In a connected graph that is not a theta graph, peripheral cycles cannot have chords, because any chord would be a bridge, separated from the rest of the graph. In this case, C {\displaystyle C} is peripheral if it is an induced cycle with the property that the subgraph G ∖ C {\displaystyle G\setminus C} formed by deleting the edges and vertices of C {\displaystyle C} is connected. The equivalence of these definitions is not hard to see: a connected subgraph of G ∖ C {\displaystyle G\setminus C} (together with the edges linking it to C {\displaystyle C} ), or a chord of a cycle that causes it to fail to be induced, must in either case be a bridge, and must also be an equivalence class of the binary relation on edges in which two edges are related if they are the ends of a path with no interior vertices in C {\displaystyle C} .

Properties Peripheral cycles appear in the theory of polyhedral graphs, that is, 3-vertex-connected planar graphs. For every planar graph G {\displaystyle G} , and every planar embedding of G {\displaystyle G} , the faces of the embedding that are induced cycles must be peripheral cycles. In a polyhedral graph, all faces are peripheral cycles, and every peripheral cycle is a face. It follows from this fact that (up to combinatorial equivalence, the choice of the outer face, and the orientation of the plane) every polyhedral graph has a unique planar embedding. In planar graphs, the cycle space is generated by the faces, but in non-planar graphs peripheral cycles play a similar role: for every 3-vertex-connected finite graph, the cycle space is generated by the peripheral cycles. The result can also be extended to locally finite but infinite graphs. In particular, it follows that 3-connected graphs are guaranteed to contain peripheral cycles. There exist 2-connected graphs that do not contain peripheral cycles (an example is the complete bipartite graph K 2 , 4 {\displaystyle K_{2,4}} , for which every cycle has two bridges) but if a 2-connected graph has minimum degree three then it contains at least one peripheral cycle. Peripheral cycles in 3-connected graphs can be computed in linear time and have been used for designing planarity tests. They were also extended to the more general notion of non-separating ear decompositions. In some algorithms for testing planarity of graphs, it is useful to find a cycle that is not peripheral, in order to partition the problem into smaller subproblems. In a biconnected graph of circuit rank less than three (such as a cycle graph or theta graph) every cycle is peripheral, but every biconnected graph with circuit rank three or more has a non-peripheral cycle, which may be found in linear time. Generalizing chordal graphs, Seymour & Weaver (1984) define a strangulated graph to be a graph in which every peripheral cycle is a triangle. They characterize these graphs as being the clique-sums of chordal graphs and maximal planar graphs.

… excerpt ends here. Continue reading the full article.

Illustrations

Peripheral cycle: In this graph, the red triangle formed by vertices 1, 2, and 5 is a peripheral cycle: the four remaining edges form a single bridge. However, pentagon 1–2–3–4–5 is not peripheral, as the two remaining edges form two separate bridges.
In this graph, the red triangle formed by vertices 1, 2, and 5 is a peripheral cycle: the four remaining edges form a single bridge. However, pentagon 1–2–3–4–5 is not peripheral, as the two remaining edges form two separate bridges.

Worked examples

Example 1 — a first encounter with Peripheral cycle

Start with the simplest possible case. Write down what Peripheral cycle 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 Peripheral cycle 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 Peripheral cycle 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 Peripheral cycle

In research
Peripheral cycle 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 Peripheral cycle 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
Peripheral cycle is common in secondary-school and first-year university syllabi. It links to neighbouring topics Graph theory objects, Planar graphs, so understanding it makes those chapters shorter.
In everyday life
Look for Peripheral cycle 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 Peripheral cycle in 20 minutes

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

Frequently asked questions

What is Peripheral cycle in simple terms?

In graph theory, a peripheral cycle (or peripheral circuit) in an undirected graph is, intuitively, a cycle that does not separate any part of the graph from any other part. Peripheral cycles (or, as they were initially called, peripheral polygons, because Tutte called cycles "polygons") were first…

Why does Peripheral cycle 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 Peripheral cycle?

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 Peripheral cycle.

Tags

  • Graph theory objects
  • Planar graphs

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