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Metric dimension (graph theory)

Metric dimension (graph theory) 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 Metric dimension (graph theory) rather than just read about it. In short: In graph theory, the metric dimension of a graph G is the minimum cardinality of a subset S of vertices such that all other vertices are uniquely determined by their distances to the vertices in S. Finding the metric dimension of a graph is an NP-hard problem; the decision version, determining whether the metric dimension is less than a given value, is NP-complete.

Key takeaways

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

Reference excerpt

In graph theory, the metric dimension of a graph G is the minimum cardinality of a subset S of vertices such that all other vertices are uniquely determined by their distances to the vertices in S. Finding the metric dimension of a graph is an NP-hard problem; the decision version, determining whether the metric dimension is less than a given value, is NP-complete.

Detailed definition For an ordered subset W = { w 1 , w 2 , … , w k } {\displaystyle W=\{w_{1},w_{2},\dots ,w_{k}\}} of vertices and a vertex v in a connected graph G, the representation of v with respect to W is the ordered k-tuple r ( v | W ) = ( d ( v , w 1 ) , d ( v , w 2 ) , … , d ( v , w k ) ) {\displaystyle r(v|W)=(d(v,w_{1}),d(v,w_{2}),\dots ,d(v,w_{k}))} , where d(x,y) represents the distance between the vertices x and y. The set W is a resolving set (or locating set) for G if every two vertices of G have distinct representations. The metric dimension of G is the minimum cardinality of a resolving set for G. A resolving set containing a minimum number of vertices is called a basis (or reference set) for G. Resolving sets for graphs were introduced independently by Slater (1975) and Harary & Melter (1976), while the concept of a resolving set and that of metric dimension were defined much earlier in the more general context of metric spaces by Blumenthal in his monograph Theory and Applications of Distance Geometry. Graphs are special examples of metric spaces with their intrinsic path metric.

Trees If a tree is a path, its metric dimension is one. Otherwise, let L denote the set of leaves, degree-one vertices in the tree. Let K be the set of vertices that have degree greater than two, and that are connected by paths of degree-two vertices to one or more leaves. Then the metric dimension is |L| − |K|. A basis of this cardinality may be formed by removing from L one of the leaves associated with each vertex in K. The same algorithm is valid for the line graph of the tree, and thus any tree and its line graph have the same metric dimension.

Properties In Chartrand et al. (2000), it is proved that:

The metric dimension of a graph G is 1 if and only if G is a path. The metric dimension of an n-vertex graph is n − 1 if and only if it is a complete graph. The metric dimension of an n-vertex graph is n − 2 if and only if the graph is a complete bipartite graph Ks, t, a split graph K s + K t ¯ ( s ≥ 1 , t ≥ 2 ) {\displaystyle K_{s}+{\overline {K_{t}}}(s\geq 1,t\geq 2)} , or K s + ( K 1 ∪ K t ) ( s , t ≥ 1 ) {\displaystyle K_{s}+(K_{1}\cup K_{t})(s,t\geq 1)} .

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Metric dimension (graph theory)

Start with the simplest possible case. Write down what Metric dimension (graph theory) 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 Metric dimension (graph theory) 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 Metric dimension (graph theory) 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 Metric dimension (graph theory)

In research
Metric dimension (graph theory) 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 Metric dimension (graph theory) 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
Metric dimension (graph theory) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Graph invariants, NP-complete problems, so understanding it makes those chapters shorter.
In everyday life
Look for Metric dimension (graph theory) 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 Metric dimension (graph theory) in 20 minutes

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

Frequently asked questions

What is Metric dimension (graph theory) in simple terms?

In graph theory, the metric dimension of a graph G is the minimum cardinality of a subset S of vertices such that all other vertices are uniquely determined by their distances to the vertices in S. Finding the metric dimension of a graph is an NP-hard problem; the decision version, determining whet…

Why does Metric dimension (graph theory) 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 Metric dimension (graph theory)?

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 Metric dimension (graph theory).

Tags

  • Graph invariants
  • NP-complete problems

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