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Trivially perfect graph

Trivially perfect 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 Trivially perfect graph rather than just read about it. In short: In graph theory, a trivially perfect graph is a graph with the property that in each of its induced subgraphs the size of the maximum independent set equals the number of maximal cliques. Trivially perfect graphs were first studied by (Wolk 1962, 1965) but were named by Golumbic (1978); Golumbic writes that "the name was chosen since it is trivial to show that such a graph is perfect." Trivially perfect graphs are a…

Trivially perfect graph — main illustration
Trivially perfect graph — illustration

Key takeaways

  • Trivially perfect 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 Trivially perfect graph to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Trivially perfect graph from memory before moving on to harder problems.

Reference excerpt

In graph theory, a trivially perfect graph is a graph with the property that in each of its induced subgraphs the size of the maximum independent set equals the number of maximal cliques. Trivially perfect graphs were first studied by (Wolk 1962, 1965) but were named by Golumbic (1978); Golumbic writes that "the name was chosen since it is trivial to show that such a graph is perfect." Trivially perfect graphs are also known as comparability graphs of trees, arborescent comparability graphs, and quasi-threshold graphs.

Equivalent characterizations Trivially perfect graphs have several other equivalent characterizations:

They are the comparability graphs of order-theoretic trees. That is, let T be a partial order such that for each t ∈ T, the set {s ∈ T : s < t} is well-ordered by the relation <, and also T possesses a minimum element r. Then the comparability graph of T is trivially perfect, and every trivially perfect graph can be formed in this way. They are the graphs that do not have a P4 path graph or a C4 cycle graph as induced subgraphs. They are the graphs in which every connected induced subgraph contains a universal vertex. They are the graphs that can be represented as the interval graphs for a set of nested intervals. A set of intervals is nested if, for every two intervals in the set, either the two are disjoint or one contains the other. They are the graphs that are both chordal and cographs. This follows from the characterization of chordal graphs as the graphs without induced cycles of length greater than three, and of cographs as the graphs without induced paths on four vertices (P4). They are the graphs that are both cographs and interval graphs. They are the graphs that can be formed, starting from one-vertex graphs, by two operations: disjoint union of two smaller trivially perfect graphs, and the addition of a new vertex adjacent to all the vertices of a smaller trivially perfect graph. These operations correspond, in the underlying forest, to forming a new forest by the disjoint union of two smaller forests and forming a tree by connecting a new root node to the roots of all the trees in a forest. They are the graphs in which, for every edge uv, the neighborhoods of u and v (including u and v themselves) are nested: one neighborhood must be a subset of the other. They are the permutation graphs defined from stack-sortable permutations. They are the graphs with the property that in each of its induced subgraphs the clique cover number equals the number of maximal cliques. They are the graphs with the property that in each of its induced subgraphs the clique number equals the pseudo-Grundy number. They are the graphs with the property that in each of its induced subgraphs the chromatic number equals the pseudo-Grundy number.

Related classes of graphs It follows from the equivalent characterizations of trivially perfect graphs that every trivially perfect graph is also a cograph, a chordal graph, a Ptolemaic graph, an interval graph, and a perfect graph. The threshold graphs are exactly the graphs that are both themselves trivially perfect and the complements of trivially perfect graphs (co-trivially perfect graphs). Windmill graphs are trivially perfect.

Recognition Chu (2008) describes a simple linear time algorithm for recognizing trivially perfect graphs, based on lexicographic breadth-first search. Whenever the LexBFS algorithm removes a vertex v from the first set on its queue, the algorithm checks that all remaining neighbors of v belong to the same set; if not, one of the forbidden induced subgraphs can be constructed from v. If this check succeeds for every v, then the graph is trivially perfect. The algorithm can also be modified to test whether a graph is the complement graph of a trivially perfect graph, in linear time. Determining if a general graph is k edge deletions away from a trivially perfect graph is NP-complete, fixed-parameter tractable and can be solved in O(2.45k(m + n)) time.

Notes

References

External links "Trivially perfect graphs", Information System on Graph Classes and their Inclusions

Illustrations

Trivially perfect graph: Construction of a trivially perfect graph from nested intervals and from the reachability relationship in a tree
Construction of a trivially perfect graph from nested intervals and from the reachability relationship in a tree

Worked examples

Example 1 — a first encounter with Trivially perfect graph

Start with the simplest possible case. Write down what Trivially perfect 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 Trivially perfect 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 Trivially perfect 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 Trivially perfect graph

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

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

Frequently asked questions

What is Trivially perfect graph in simple terms?

In graph theory, a trivially perfect graph is a graph with the property that in each of its induced subgraphs the size of the maximum independent set equals the number of maximal cliques. Trivially perfect graphs were first studied by (Wolk 1962, 1965) but were named by Golumbic (1978); Golumbic wr…

Why does Trivially perfect 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 Trivially perfect 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 Trivially perfect graph.

Tags

  • Graph families
  • Perfect graphs

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