Uniform matroid

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Short description: Matroid in which every permutation is a symmetry

In mathematics, a uniform matroid is a matroid in which the independent sets are exactly the sets containing at most r elements, for some fixed integer r. An alternative definition is that every permutation of the elements is a symmetry.

Definition

The uniform matroid Unr is defined over a set of n elements. A subset of the elements is independent if and only if it contains at most r elements. A subset is a basis if it has exactly r elements, and it is a circuit if it has exactly r+1 elements. The rank of a subset S is min(|S|,r) and the rank of the matroid is r.[1][2]

A matroid of rank r is uniform if and only if all of its circuits have exactly r+1 elements.[3]

The matroid Un2 is called the n-point line.

Duality and minors

The dual matroid of the uniform matroid Unr is another uniform matroid Unnr. A uniform matroid is self-dual if and only if r=n/2.[4]

Every minor of a uniform matroid is uniform. Restricting a uniform matroid Unr by one element (as long as r<n) produces the matroid Un1r and contracting it by one element (as long as r>0) produces the matroid Un1r1.[5]

Realization

The uniform matroid Unr may be represented as the matroid of affinely independent subsets of n points in general position in r-dimensional Euclidean space, or as the matroid of linearly independent subsets of n vectors in general position in an (r+1)-dimensional real vector space.

Every uniform matroid may also be realized in projective spaces and vector spaces over all sufficiently large finite fields.[6] However, the field must be large enough to include enough independent vectors. For instance, the n-point line Un2 can be realized only over finite fields of n1 or more elements (because otherwise the projective line over that field would have fewer than n points): U42 is not a binary matroid, U52 is not a ternary matroid, etc. For this reason, uniform matroids play an important role in Rota's conjecture concerning the forbidden minor characterization of the matroids that can be realized over finite fields.[7]

Algorithms

The problem of finding the minimum-weight basis of a weighted uniform matroid is well-studied in computer science as the selection problem. It may be solved in linear time.[8]

Any algorithm that tests whether a given matroid is uniform, given access to the matroid via an independence oracle, must perform an exponential number of oracle queries, and therefore cannot take polynomial time.[9]

Unless r{0,n}, a uniform matroid Unr is connected: it is not the direct sum of two smaller matroids.[10] The direct sum of a family of uniform matroids (not necessarily all with the same parameters) is called a partition matroid.

Every uniform matroid is a paving matroid,[11] a transversal matroid[12] and a strict gammoid.[6]

Not every uniform matroid is graphic, and the uniform matroids provide the smallest example of a non-graphic matroid, U42. The uniform matroid Un1 is the graphic matroid of an n-edge dipole graph, and the dual uniform matroid Unn1 is the graphic matroid of its dual graph, the n-edge cycle graph. Un0 is the graphic matroid of a graph with n self-loops, and Unn is the graphic matroid of an n-edge forest. Other than these examples, every uniform matroid Unr with 1<r<n1 contains U42 as a minor and therefore is not graphic.[13]

The n-point line provides an example of a Sylvester matroid, a matroid in which every line contains three or more points.[14]

See also

References

  1. "Example 1.2.7", Matroid Theory, Oxford Graduate Texts in Mathematics, 3, Oxford University Press, 2006, p. 19, ISBN 9780199202508 . For the rank function, see p. 26.
  2. Matroid Theory, Courier Dover Publications, 2010, p. 10, ISBN 9780486474397 .
  3. (Oxley 2006), p. 27.
  4. (Oxley 2006), pp. 77 & 111.
  5. (Oxley 2006), pp. 106–107 & 111.
  6. 6.0 6.1 (Oxley 2006), p. 100.
  7. (Oxley 2006), pp. 202–206.
  8. "Chapter 9: Medians and Order Statistics", Introduction to Algorithms (2nd ed.), MIT Press and McGraw-Hill, 2001, pp. 183–196, ISBN 0-262-03293-7 .
  9. Jensen, Per M.; Korte, Bernhard (1982), "Complexity of matroid property algorithms", SIAM Journal on Computing 11 (1): 184–190, doi:10.1137/0211014 .
  10. (Oxley 2006), p. 126.
  11. (Oxley 2006).
  12. (Oxley 2006), pp. 48–49.
  13. (Welsh 2010), p. 30.
  14. (Welsh 2010), p. 297.