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Triameter (graph theory)

Triameter (graph theory) is a computer 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 Triameter (graph theory) rather than just read about it. In short: In graph theory, the triameter is a metric invariant that generalizes the concept of a graph's diameter. It is defined as the maximum sum of pairwise distances between any three vertices in a connected graph G {\textstyle G} and is denoted by where V {\textstyle V} is the vertex set of G {\textstyle G} and d ( u , v ) {\textstyle d(u,v)} is the length of the shortest path between vertices u {\textstyle u} and v {\te…

Triameter (graph theory) — main illustration
Triameter (graph theory) — illustration

Key takeaways

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

Reference excerpt

In graph theory, the triameter is a metric invariant that generalizes the concept of a graph's diameter. It is defined as the maximum sum of pairwise distances between any three vertices in a connected graph G {\textstyle G} and is denoted by

where V {\textstyle V} is the vertex set of G {\textstyle G} and d ( u , v ) {\textstyle d(u,v)} is the length of the shortest path between vertices u {\textstyle u} and v {\textstyle v} . It extends the idea of the diameter, which captures the longest path between any two of its vertices. A triametral triple is a set of three vertices achieving t r ⁡ ( G ) {\textstyle \mathop {\mathrm {tr} } (G)} .

History The parameter of triameter is related to the channel assignment problem—the problem of assigning frequencies to the transmitters in some optimal manner and with no interferences. Chartrand et al.. introduced the concept of radio k {\textstyle k} -coloring of a connected simple graph in 2005. Then (2012, 2015) sharp lower bounds on radio k {\textstyle k} -chromatic number of connected graphs were provided in terms of a newly defined parameter called triameter of a graph. Apart from this, the concept of triameter also finds application in metric polytopes. In 2014, Henning and Yeo proved a Graffiti conjecture on lower bound of total domination number of a connected graph in terms of its triameter. Saha and Panigrahi denoted this parameter as M {\textstyle M} -value of a graph in their paper. The concept of triameter was first formally introduced in 2021 and studied by A. Das. He investigated its connections to other graph parameters such as diameter, radius, girth, and domination numbers. Building on this foundation, A. Hak, S. Kozerenko and B. Oliynyk extended the study in 2022 exploring an interplay between triameter and diameter for some graph families and establishing a tight lower bound for triameter of trees in terms of their order and number of leaves. Recently, K. Jeya Daisy, S. Nihisha, and P. Jeyanthi, linked triameter to the ring theory, they studied triameter of the zero-divisor graph of a commutative ring with identity.

Metric properties The metric properties of triameter were first studied by A. Das. The triameter of any connected graph G {\textstyle G} is tightly bounded by its diameter and radius in the following way: 2 d i a m ⁡ ( G ) ≤ t r ⁡ ( G ) ≤ 3 d i a m ⁡ ( G ) , 2 r a d ⁡ ( G ) ≤ t r ⁡ ( G ) ≤ 6 r a d ⁡ ( G ) . {\displaystyle {\begin{aligned}2\mathop {\mathrm {diam} } (G)\leq &\mathop {\mathrm {tr} } (G)\leq 3\mathop {\mathrm {diam} } (G),\\2\mathop {\mathrm {rad} } (G)\leq &\mathop {\mathrm {tr} } (G)\leq 6\mathop {\mathrm {rad} } (G).\end{aligned}}}

Bounds for trees

For the trees tighter bounds hold:

… excerpt ends here. Continue reading the full article.

Illustrations

Triameter (graph theory): The graph G has tr(G) = d(u,v,w) = 12 and diam(G) = d(x,y) = 5. The triametral triple u, v, w does not contain a diametral pair, and the diametral pair x, y cannot be extended to a triametral triple.
The graph G has tr(G) = d(u,v,w) = 12 and diam(G) = d(x,y) = 5. The triametral triple u, v, w does not contain a diametral pair, and the diametral pair x, y cannot be extended to a triametral triple.
Triameter (graph theory): A pair of distance hereditary graphs being a counterexample to diameter–triameter interplay. The triametral triple u, v, w of the graph on the left does not contain a peripheral vertex, while the peripheral vertex x of the graph on the right cannot be extended to a triametral triple. Both graphs are distance hereditary, the graph on the left is also a median graph.
A pair of distance hereditary graphs being a counterexample to diameter–triameter interplay. The triametral triple u, v, w of the graph on the left does not contain a peripheral vertex, while the peripheral vertex x of the graph on the right cannot be extended to a triametral triple. Both graphs are distance hereditary, the graph on the left is also a median graph.

Worked examples

Example 1 — a first encounter with Triameter (graph theory)

Start with the simplest possible case. Write down what Triameter (graph theory) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer 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 Triameter (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 Triameter (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 Triameter (graph theory)

In research
Triameter (graph theory) appears in computer 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 Triameter (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
Triameter (graph theory) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computational problems in graph theory, Graph distance, Graph families, so understanding it makes those chapters shorter.
In everyday life
Look for Triameter (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 Triameter (graph theory) in 20 minutes

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

Frequently asked questions

What is Triameter (graph theory) in simple terms?

In graph theory, the triameter is a metric invariant that generalizes the concept of a graph's diameter. It is defined as the maximum sum of pairwise distances between any three vertices in a connected graph G {\textstyle G} and is denoted by where V {\textstyle V} is the vertex set of G {\textstyl…

Why does Triameter (graph theory) matter?

Because it connects several computer 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 Triameter (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 Triameter (graph theory).

Tags

  • Computational problems in graph theory
  • Graph distance
  • Graph families
  • Graph invariants

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