Geometric lattice

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In the mathematics of matroids and lattices, a geometric lattice is a finite atomistic semimodular lattice, and a matroid lattice is an atomistic semimodular lattice without the assumption of finiteness. Geometric lattices and matroid lattices, respectively, form the lattices of flats of finite, or finite and infinite, matroids, and every geometric or matroid lattice comes from a matroid in this way.

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Definition

A lattice is a poset in which any two elements and have both a least upper bound, called the join or supremum, denoted by , and a greatest lower bound, called the meet or infimum, denoted by .

The following definitions apply to posets in general, not just lattices, except where otherwise stated.

When a graded poset has a bottom element, one may assume, without loss of generality, that its rank is zero. In this case, the atoms are the elements with rank one.

Many authors consider only finite matroid lattices, and use the terms "geometric lattice" and "matroid lattice" interchangeably for both. [5]

Lattices vs. matroids

The geometric lattices are equivalent to (finite) simple matroids, and the matroid lattices are equivalent to simple matroids without the assumption of finiteness (under an appropriate definition of infinite matroids; there are several such definitions). The correspondence is that the elements of the matroid are the atoms of the lattice and an element x of the lattice corresponds to the flat of the matroid that consists of those elements of the matroid that are atoms

Like a geometric lattice, a matroid is endowed with a rank function, but that function maps a set of matroid elements to a number rather than taking a lattice element as its argument. The rank function of a matroid must be monotonic (adding an element to a set can never decrease its rank) and it must be submodular, meaning that it obeys an inequality similar to the one for semimodular ranked lattices:

for sets X and Y of matroid elements. The maximal sets of a given rank are called flats. The intersection of two flats is again a flat, defining a greatest lower bound operation on pairs of flats; one can also define a least upper bound of a pair of flats to be the (unique) maximal superset of their union that has the same rank as their union. In this way, the flats of a matroid form a matroid lattice, or (if the matroid is finite) a geometric lattice. [4]

Conversely, if is a matroid lattice, one may define a rank function on sets of its atoms, by defining the rank of a set of atoms to be the lattice rank of the greatest lower bound of the set. This rank function is necessarily monotonic and submodular, so it defines a matroid. This matroid is necessarily simple, meaning that every two-element set has rank two. [4]

These two constructions, of a simple matroid from a lattice and of a lattice from a matroid, are inverse to each other: starting from a geometric lattice or a simple matroid, and performing both constructions one after the other, gives a lattice or matroid that is isomorphic to the original one. [4]

Duality

There are two different natural notions of duality for a geometric lattice : the dual matroid, which has as its basis sets the complements of the bases of the matroid corresponding to , and the dual lattice, the lattice that has the same elements as in the reverse order. They are not the same, and indeed the dual lattice is generally not itself a geometric lattice: the property of being atomistic is not preserved by order-reversal. Cheung (1974) defines the adjoint of a geometric lattice (or of the matroid defined from it) to be a minimal geometric lattice into which the dual lattice of is order-embedded. Some matroids do not have adjoints; an example is the Vámos matroid. [6]

Additional properties

Every interval of a geometric lattice (the subset of the lattice between given lower and upper bound elements) is itself geometric; taking an interval of a geometric lattice corresponds to forming a minor of the associated matroid. Geometric lattices are complemented, and because of the interval property they are also relatively complemented. [7]

Every finite lattice is a sublattice of a geometric lattice. [8]

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A lattice is an abstract structure studied in the mathematical subdisciplines of order theory and abstract algebra. It consists of a partially ordered set in which every pair of elements has a unique supremum and a unique infimum. An example is given by the power set of a set, partially ordered by inclusion, for which the supremum is the union and the infimum is the intersection. Another example is given by the natural numbers, partially ordered by divisibility, for which the supremum is the least common multiple and the infimum is the greatest common divisor.

In mathematics, a closure operator on a set S is a function from the power set of S to itself that satisfies the following conditions for all sets

In the mathematical area of order theory, completeness properties assert the existence of certain infima or suprema of a given partially ordered set (poset). The most familiar example is the completeness of the real numbers. A special use of the term refers to complete partial orders or complete lattices. However, many other interesting notions of completeness exist.

<span class="mw-page-title-main">Antimatroid</span> Mathematical system of orderings or sets

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<span class="mw-page-title-main">Graded poset</span>

In mathematics, in the branch of combinatorics, a graded poset is a partially-ordered set (poset) P equipped with a rank functionρ from P to the set N of all natural numbers. ρ must satisfy the following two properties:

<span class="mw-page-title-main">Semimodular lattice</span>

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In mathematics, Birkhoff's representation theorem for distributive lattices states that the elements of any finite distributive lattice can be represented as finite sets, in such a way that the lattice operations correspond to unions and intersections of sets. Here, a lattice is an abstract structure with two binary operations, the "meet" and "join" operations, which must obey certain axioms; it is distributive if these two operations obey the distributive law. The union and intersection operations, in a family of sets that is closed under these operations, automatically form a distributive lattice, and Birkhoff's representation theorem states that every finite distributive lattice can be formed in this way. It is named after Garrett Birkhoff, who published a proof of it in 1937.

<span class="mw-page-title-main">Vámos matroid</span> Matroid with no linear representation

In mathematics, the Vámos matroid or Vámos cube is a matroid over a set of eight elements that cannot be represented as a matrix over any field. It is named after English mathematician Peter Vámos, who first described it in an unpublished manuscript in 1968.

In mathematics, a supersolvable lattice is a graded lattice that has a maximal chain of elements, each of which obeys a certain modularity relationship. The definition encapsulates many of the nice properties of lattices of subgroups of supersolvable groups.

References

  1. Birkhoff (1995), Theorem 15, p. 40. More precisely, Birkhoff's definition reads "We shall call P (upper) semimodular when it satisfies: If ab both cover c, then there exists a dP which covers both a and b" (p.39). Theorem 15 states: "A graded lattice of finite length is semimodular if and only if r(x)+r(y)≥r(xy)+r(xy)".
  2. Maeda, F.; Maeda, S. (1970), Theory of Symmetric Lattices, Die Grundlehren der mathematischen Wissenschaften, Band 173, New York: Springer-Verlag, MR   0282889 .
  3. Welsh, D. J. A. (2010), Matroid Theory, Courier Dover Publications, p. 388, ISBN   9780486474397 .
  4. 1 2 3 4 Welsh (2010), p. 51.
  5. Birkhoff, Garrett (1995), Lattice Theory, Colloquium Publications, vol. 25 (3rd ed.), American Mathematical Society, p. 80, ISBN   9780821810255 .
  6. Cheung, Alan L. C. (1974), "Adjoints of a geometry", Canadian Mathematical Bulletin , 17 (3): 363–365, correction, ibid. 17 (1974), no. 4, 623, doi: 10.4153/CMB-1974-066-5 , MR   0373976 .
  7. Welsh (2010), pp. 55, 65–67.
  8. Welsh (2010), p. 58; Welsh credits this result to Robert P. Dilworth, who proved it in 1941–1942, but does not give a specific citation for its original proof.