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Hosoya index

Hosoya index is a chemistry 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 Hosoya index rather than just read about it. In short: The Hosoya index, also known as the Z index, of a graph is the total number of matchings in it. The Hosoya index is always at least one, because the empty set of edges is counted as a matching for this purpose.

Hosoya index — main illustration
Hosoya index — illustration

Key takeaways

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

Reference excerpt

The Hosoya index, also known as the Z index, of a graph is the total number of matchings in it. The Hosoya index is always at least one, because the empty set of edges is counted as a matching for this purpose. Equivalently, the Hosoya index is the number of non-empty matchings plus one. The index is named after Haruo Hosoya. It is used as a topological index in chemical graph theory. Complete graphs have the largest Hosoya index for any given number of vertices; their Hosoya indices are the telephone numbers.

History This graph invariant was introduced by Haruo Hosoya in 1971. It is often used in chemoinformatics for investigations of organic compounds. In his article, "The Topological Index Z Before and After 1971," on the history of the notion and the associated inside stories, Hosoya writes that he introduced the Z index to report a good correlation of the boiling points of alkane isomers and their Z indices, basing on his unpublished 1957 work carried out while he was an undergraduate student at the University of Tokyo.

Example A linear alkane, for the purposes of the Hosoya index, may be represented as a path graph without any branching. A path with one vertex and no edges (corresponding to the methane molecule) has one (empty) matching, so its Hosoya index is one; a path with one edge (ethane) has two matchings (one with zero edges and one with one edges), so its Hosoya index is two. Propane (a length-two path) has three matchings: either of its edges, or the empty matching. n-butane (a length-three path) has five matchings, distinguishing it from isobutane which has four. More generally, a matching in a path with k {\displaystyle k} edges either forms a matching in the first k − 1 {\displaystyle k-1} edges, or it forms a matching in the first k − 2 {\displaystyle k-2} edges together with the final edge of the path. This case analysis shows that the Hosoya indices of linear alkanes obey the recurrence governing the Fibonacci numbers, and because they also have the same base case they must equal the Fibonacci numbers. The structure of the matchings in these graphs may be visualized using a Fibonacci cube. The largest possible value of the Hosoya index, on a graph with n {\displaystyle n} vertices, is given by the complete graph K n {\displaystyle K_{n}} . The Hosoya indices for the complete graphs are the telephone numbers

These numbers can be expressed by a summation formula involving factorials, as

∑ k = 0 ⌊ n / 2 ⌋ n ! 2 k ⋅ k ! ⋅ ( n − 2 k ) ! . {\displaystyle \sum _{k=0}^{\lfloor n/2\rfloor }{\frac {n!}{2^{k}\cdot k!\cdot \left(n-2k\right)!}}.}

Every graph that is not complete has a smaller Hosoya index than this upper bound.

Algorithms The Hosoya index is #P-complete to compute, even for planar graphs. However, it may be calculated by evaluating the matching polynomial mG at the argument 1. Based on this evaluation, the calculation of the Hosoya index is fixed-parameter tractable for graphs of bounded treewidth and polynomial (with an exponent that depends linearly on the width) for graphs of bounded clique-width. The Hosoya index can be efficiently approximated to any desired constant approximation ratio using a fully-polynomial randomized approximation scheme.

Notes

References Roberto Todeschini, Viviana Consonni (2000) "Handbook of Molecular Descriptors", Wiley-VCH, ISBN 3-527-29913-0

Illustrations

Hosoya index: The complete graph K4 has the ten matchings shown, so its Hosoya index is ten, the maximum for any four-vertex graph.
The complete graph K4 has the ten matchings shown, so its Hosoya index is ten, the maximum for any four-vertex graph.

Worked examples

Example 1 — a first encounter with Hosoya index

Start with the simplest possible case. Write down what Hosoya index claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In chemistry, 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 Hosoya index 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 Hosoya index 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 Hosoya index

In research
Hosoya index appears in chemistry 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 Hosoya index 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
Hosoya index is common in secondary-school and first-year university syllabi. It links to neighbouring topics Cheminformatics, Graph invariants, Matching (graph theory), so understanding it makes those chapters shorter.
In everyday life
Look for Hosoya index 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 Hosoya index in 20 minutes

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

Frequently asked questions

What is Hosoya index in simple terms?

The Hosoya index, also known as the Z index, of a graph is the total number of matchings in it. The Hosoya index is always at least one, because the empty set of edges is counted as a matching for this purpose.

Why does Hosoya index matter?

Because it connects several chemistry 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 Hosoya index?

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 Hosoya index.

Tags

  • Cheminformatics
  • Graph invariants
  • Matching (graph theory)
  • Mathematical chemistry

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