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Vizing's conjecture

Vizing's conjecture 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 Vizing's conjecture rather than just read about it. In short: In graph theory, Vizing's conjecture concerns a relation between the domination number and the cartesian product of graphs. This conjecture was first stated by Vadim G.

Vizing's conjecture — main illustration
Vizing's conjecture — illustration

Key takeaways

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

Reference excerpt

In graph theory, Vizing's conjecture concerns a relation between the domination number and the cartesian product of graphs. This conjecture was first stated by Vadim G. Vizing (1968), and states that, if γ(G) denotes the minimum number of vertices in a dominating set for the graph G, then

γ ( G ◻ H ) ≥ γ ( G ) γ ( H ) . {\displaystyle \gamma (G\,\Box \,H)\geq \gamma (G)\gamma (H).\,}

Gravier & Khelladi (1995) conjectured a similar bound for the domination number of the tensor product of graphs; however, a counterexample was found by Klavžar & Zmazek (1996). Since Vizing proposed his conjecture, many mathematicians have worked on it, with partial results described below. For a more detailed overview of these results, see Brešar et al. (2012).

Examples

A 4-cycle C4 has domination number two: any single vertex only dominates itself and its two neighbors, but any pair of vertices dominates the whole graph. The product C4 □ C4 is a four-dimensional hypercube graph; it has 16 vertices, and any single vertex can only dominate itself and four neighbors, so three vertices could only dominate 15 of the 16 vertices. Therefore, at least four vertices are required to dominate the entire graph, the bound given by Vizing's conjecture. It is possible for the domination number of a product to be much larger than the bound given by Vizing's conjecture. For instance, for a star K1,n, its domination number γ(K1,n) is one: it is possible to dominate the entire star with a single vertex at its hub. Therefore, for the graph G = K1,n □ K1,n formed as the product of two stars, Vizing's conjecture states only that the domination number should be at least 1 × 1 = 1. However, the domination number of this graph is actually much higher. It has n2 + 2n + 1 vertices: n2 formed from the product of a leaf in both factors, 2n from the product of a leaf in one factor and the hub in the other factor, and one remaining vertex formed from the product of the two hubs. Each leaf-hub product vertex in G dominates exactly n of the leaf-leaf vertices, so n leaf-hub vertices are needed to dominate all of the leaf-leaf vertices. However, no leaf-hub vertex dominates any other such vertex, so even after n leaf-hub vertices are chosen to be included in the dominating set, there remain n more undominated leaf-hub vertices, which can be dominated by the single hub-hub vertex. Thus, the domination number of this graph is γ(K1,n □ K1,n) = n + 1 far higher than the trivial bound of one given by Vizing's conjecture. There exist infinite families of graph products for which the bound of Vizing's conjecture is exactly met. For instance, if G and H are both connected graphs, each having at least four vertices and having exactly twice as many total vertices as their domination numbers, then γ(G □ H) = γ(G) γ(H). The graphs G and H with this property consist of the four-vertex cycle C4 together with the rooted products of a connected graph and a single edge.

Partial results Clearly, the conjecture holds when either G or H has domination number one: for, the product contains an isomorphic copy of the other factor, dominating which requires at least γ(G)γ(H) vertices. Vizing's conjecture is also known to hold for cycles and for graphs with domination number two. Clark & Suen (2000) proved that the domination number of the product is at least half as large as the conjectured bound, for all G and H.

Upper bounds Vizing (1968) observed that

γ ( G ◻ H ) ≤ min { γ ( G ) | V ( H ) | , γ ( H ) | V ( G ) | } . {\displaystyle \gamma (G\,\Box \,H)\leq \min\{\gamma (G)|V(H)|,\gamma (H)|V(G)|\}.}

A dominating set meeting this bound may be formed as the cartesian product of a dominating set in one of G or H with the set of all vertices in the other graph.

Notes

References

External links Weisstein, Eric W. "Vizing Conjecture". MathWorld.

Worked examples

Example 1 — a first encounter with Vizing's conjecture

Start with the simplest possible case. Write down what Vizing's conjecture 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 Vizing's conjecture 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 Vizing's conjecture 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 Vizing's conjecture

In research
Vizing's conjecture 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 Vizing's conjecture 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
Vizing's conjecture is common in secondary-school and first-year university syllabi. It links to neighbouring topics Conjectures, Graph invariants, Graph products, so understanding it makes those chapters shorter.
In everyday life
Look for Vizing's conjecture 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 Vizing's conjecture in 20 minutes

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

Frequently asked questions

What is Vizing's conjecture in simple terms?

In graph theory, Vizing's conjecture concerns a relation between the domination number and the cartesian product of graphs. This conjecture was first stated by Vadim G.

Why does Vizing's conjecture 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 Vizing's conjecture?

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 Vizing's conjecture.

Tags

  • Conjectures
  • Graph invariants
  • Graph products
  • Unsolved problems in graph theory

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