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Matroid minor

Matroid minor 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 Matroid minor rather than just read about it. In short: In the mathematical theory of matroids, a minor of a matroid M is another matroid N that is obtained from M by a sequence of restriction and contraction operations. Matroid minors are closely related to graph minors, and the restriction and contraction operations by which they are formed correspond to edge deletion and edge contraction operations in graphs.

Key takeaways

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

Reference excerpt

In the mathematical theory of matroids, a minor of a matroid M is another matroid N that is obtained from M by a sequence of restriction and contraction operations. Matroid minors are closely related to graph minors, and the restriction and contraction operations by which they are formed correspond to edge deletion and edge contraction operations in graphs. The theory of matroid minors leads to structural decompositions of matroids, and characterizations of matroid families by forbidden minors, analogous to the corresponding theory in graphs.

Definitions If M is a matroid on the set E and S is a subset of E, then the restriction of M to S, written M |S, is the matroid on the set S whose independent sets are the independent sets of M that are contained in S. Its circuits are the circuits of M that are contained in S and its rank function is that of M restricted to subsets of S. If T is an independent subset of E, the contraction of M by T, written M/T, is the matroid on the underlying set E − T whose independent sets are the sets whose union with T is independent in M. This definition may be extended to arbitrary T by choosing a basis for T and defining a set to be independent in the contraction if its union with this basis remains independent in M. The rank function of the contraction is r ′ ( A ) = r ( A ∪ T ) − r ( T ) . {\displaystyle r'(A)=r(A\cup T)-r(T).}

A matroid N is a minor of a matroid M if it can be constructed from M by restriction and contraction operations. In terms of the geometric lattice formed by the flats of a matroid, taking a minor of a matroid corresponds to taking an interval of the lattice, the part of the lattice lying between a given lower bound and upper bound element.

Forbidden matroid characterizations Many important families of matroids are closed under the operation of taking minors: if a matroid M belongs to the family, then every minor of M also belongs to the family. In this case, the family may be characterized by its set of "forbidden matroids", the minor-minimal matroids that do not belong to the family. A matroid belongs to the family if and only if it does not have a forbidden matroid as a minor. Often, but not always, the set of forbidden matroids is finite, paralleling the Robertson–Seymour theorem which states that the set of forbidden minors of a minor-closed graph family is always finite. An example of this phenomenon is given by the regular matroids, matroids that are representable over all fields. Equivalently a matroid is regular if it can be represented by a totally unimodular matrix (a matrix whose square submatrices all have determinants equal to 0, 1, or −1). Tutte (1958) proved that a matroid is regular if and only if it does not have one of three forbidden minors: the uniform matroid U

4 2 {\displaystyle U{}_{4}^{2}} (the four-point line), the Fano plane, or the dual matroid of the Fano plane. For this he used his difficult homotopy theorem. Simpler proofs have since been found. The graphic matroids, matroids whose independent sets are the forest subgraphs of a graph, have five forbidden minors: the three for the regular matroids, and the two duals of the graphic matroids for the graphs K5 and K3,3 that by Wagner's theorem are forbidden minors for the planar graphs. The binary matroids, matroids representable over the two-element finite field, include both graphic and regular matroids. Tutte again showed that these matroids have a forbidden minor characterization: they are the matroids that do not have the four-point line as a minor. Rota conjectured that, for any finite field, the matroids representable over that field have finitely many forbidden minors. A proof of this conjecture was announced, but not published, by Geelen, Gerards, and Whittle in 2014. The matroids that can be represented over the real numbers have infinitely many forbidden minors.

Branchwidth Branch-decompositions of matroids may be defined analogously to their definition for graphs. A branch-decomposition of a matroid is a hierarchical clustering of the matroid elements, represented as an unrooted binary tree with the elements of the matroid at its leaves. Removing any edge of this tree partitions the matroids into two disjoint subsets; such a partition is called an e-separation. If r denotes the rank function of the matroid, then the width of an e-separation is defined as r(A) + r(B) − r(M) + 1. The width of a decomposition is the maximum width of any of its e-separations, and the branchwidth of a matroid is the minimum width of any of its branch-decompositions. The branchwidth of a graph and the branchwidth of the corresponding graphic matroid may differ: for instance, the three-edge path graph and the three-edge star have different branchwidths, 2 and 1 respectively, but they both induce the same graphic matroid with branchwidth 1. However, for graphs that are not trees, the branchwidth of the graph is equal to the branchwidth of its associated graphic matroid. The branchwidth of a matroid always equals the branchwidth of its dual. Branchwidth is an important component of attempts to extend the theory of graph minors to matroids: although treewidth can also be generalized to matroids, and plays a bigger role than branchwidth in the theory of graph minors, branchwidth has more convenient properties in the matroid setting. If a minor-closed family of matroids representable over a finite field does not include the graphic matroids of all planar graphs, then there is a constant bound on the branchwidth of the matroids in the family, generalizing similar results for minor-closed graph families.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Matroid minor

Start with the simplest possible case. Write down what Matroid minor 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 Matroid minor 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 Matroid minor 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 Matroid minor

In research
Matroid minor 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 Matroid minor 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
Matroid minor is common in secondary-school and first-year university syllabi. It links to neighbouring topics Graph minor theory, Matroid theory, so understanding it makes those chapters shorter.
In everyday life
Look for Matroid minor 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 Matroid minor in 20 minutes

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

Frequently asked questions

What is Matroid minor in simple terms?

In the mathematical theory of matroids, a minor of a matroid M is another matroid N that is obtained from M by a sequence of restriction and contraction operations. Matroid minors are closely related to graph minors, and the restriction and contraction operations by which they are formed correspond…

Why does Matroid minor 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 Matroid minor?

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 Matroid minor.

Tags

  • Graph minor theory
  • Matroid theory

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