from application matroid
A matroid on the set {0,…,n-1}. Here n is the same as N_ELEMENTS
.
permuting the BASES
UNDOCUMENTED
More complex properties of the matroid.
AUTOMORPHISM_GROUP
The automorphism group of the matroid, operating on the ground set.
BETA_INVARIANT
The coefficient of x of the Tutte polynomial
BINARY
Whether the matroid is representable over GF(2)
BINARY_VECTORS
If the matroid is realizable over the field GF(2) with two elements, this property contains coordinates for some realization.
CATENARY_G_INVARIANT
This is an equivalent characterization of the G_INVARIANT
given by Bonin and Kung ([Bonin, Kung: The G-invariant and catenary data of a matroid (2015)]). It lives in the free abelian group over all (n,r)-compositions (where n = N_ELEMENTS
and r = RANK
). Those are sequences (a0,…,ar) with a0 >= 0, a_j > 0 for j > 0 and sum a_i = n For each maximal chain of flats F0,…,Fr = E of M, the corresponding composition is a0 = |F0| and a_i = |Fi \ Fi-1| for i > 0. For a composition a, let v(M,a) be the number of maximal chains of flats with composition a. Then G(M) := sum_a v(M,a) * a, where the sum runs over all compositions a.
CONNECTED
Whether the matroid is connected
CONNECTED_COMPONENTS
The connected components
F_VECTOR
The f-vector of a matroid
G_INVARIANT
The G-invariant of the matroid (see [Derksen: Symmetric and quasi-symmetric functions associated to polymatroids, J. Algebr. Comb. 30 (2009), 43-86]) We use the formulation by Bonin and Kung in [Bonin, Kung: The G-invariant and catenary data of a matroid (2015)]: The G-invariant is an element of the free abelian group over all (n,r)-sequences (where n = N_ELEMENTS
and r = RANK
), i.e. 0/1-sequences (r_1,…,r_n), where exactly r entries are 1. We identify each such sequence with its support, i.e. the set of entries equal to 1, so the G-invariant can be represented as a map which takes an r-set to the coefficient of the corresponding (n,r)-sequence. The formal definition goes as follows: For each permutation p on n, we define a sequence r(p) = (r_1,…,r_n) by r_1 = rank({p(1)}) and r_j = rank( {p(1),…,p(j)}) - rank( {p(1),…,p(j-1)}). Then G(M) := sum_p r(p), where the sum runs over all permutations p.
H_VECTOR
The h-vector of a matroid
IDENTICALLY_SELF_DUAL
Whether the matroid is equal to its dual. Note that this does not check for isomorphy, if you want to check whether the matroid is isomorphic to its dual, ask for SELF_DUAL
.
LAMINAR
Whether the matroid is laminar. This is the case if and only if for any two circuits C1,C2 with non-empty intersection, their closures are comparable (i.e. one contains the other) see also [Fife, Oxley: Laminar matroids. arXiv: 1606.08354]
LOOPS
Loops
MAXIMAL_TRANSVERSAL_PRESENTATION
If the matroid is transversal, this is the unique maximal presentation. I.e. the set system consists of RANK
many sets and none of the sets can be increased without changing the matroid.
NESTED
Whether the matroid is nested, i.e. its LATTICE_OF_CYCLIC_FLATS
is a chain.
N_CONNECTED_COMPONENTS
The number of CONNECTED_COMPONENTS
PAVING
Whether the matroid is paving
POLYTOPE
Polytope whose vertices are the characteristic vectors of the bases.
REGULAR
Whether the matroid is representable over every field, that is the repesentation is unimodular. NOTE: the property is 'undef' when it's hard to decide whether the matroid is ternary.
REVLEX_BASIS_ENCODING
A string listing the bases in revlex order. A '*' means the basis is present, a '0' that it is absent
SELF_DUAL
Whether the matroid is isomorphic to its dual If you want to check whether it is actually equal (not just isomorphic), ask for IDENTICALLY_SELF_DUAL
.
SERIES_PARALLEL
Whether the matroid is series-parallel
SIMPLE
Whether the matroid is simple.
SPARSE_PAVING
Whether the matroid is sparse_paving, i.e both the matroid and it's dual are paving
SPLIT
Whether all SPLIT_FLACETS in the matroid are compatible.
SPLIT_FLACETS
The flats that correspond to split facets of the matroid POLYTOPE
. The facets are either hypersimplex facets or splits
TERNARY
Whether the matroid is representable over GF(3) NOTE: the property may be 'undef' if the current implementation cannot decide.
TERNARY_VECTORS
If the matroid is realizable over the field GF(3) with three elements, this property contains coordinates for some realization.
TRANSVERSAL
Whether the matroid is transversal, i.e. has a transversal presentation.
TUTTE_POLYNOMIAL
The Tutte polynomial of a matroid. It is a polynomial in the two variables x and y, which are chosen such that the tutte polynomial of a single coloop is x and the tutte polynomial of a single loop is y.
UNIFORM
Whether the matroid is a uniform matroid
These are properties that form (part of) an axiom system defining a matroid. Most of these can be used to create a matroid.
BASES
Subsets of the ground set which form the bases of the matroid. Note that if you want to define a matroid via its bases, you should also specify N_ELEMENTS
, because we allow matroids with loops.
CIRCUITS
Circuits, i.e., minimal dependent sets.
LATTICE_OF_CYCLIC_FLATS
The lattice of cyclic flats of the matroid. A flat is a cyclic flat, if and only if it is a union of circuits. Their ranks can also be read off of this property using nodes_of_dim(..)
LATTICE_OF_FLATS
The lattice of flats. This is a graph with all closed sets as nodes and inclusion relations as edges.
MATROID_HYPERPLANES
Hyperplanes, i.e. flats of rank RANK-1.
NON_BASES
All subsets of the ground sets with cardinality RANK
that are not bases.
These are properties of a matroid that count something.
N_AUTOMORPHISMS
The order of the AUTOMORPHISM_GROUP
of the matroid.
N_BASES
The number of BASES
.
N_CIRCUITS
The number of CIRCUITS
.
N_CYCLIC_FLATS
The number of cyclic flats, i.e. the number of nodes in LATTICE_OF_CYCLIC_FLATS
.
N_ELEMENTS
Size of the ground set. The ground set itself always consists of the first integers starting with zero.
N_FLATS
The number of flats, i.e. the number of nodes in LATTICE_OF_FLATS
.
N_LOOPS
The number of LOOPS
.
N_MATROID_HYPERPLANES
The number of MATROID_HYPERPLANES
RANK
Rank of the matroid, i.e., number of elements in each basis.
These are properties that can be used to define a matroid, but do not actually constitute an axiom system.
TRANSVERSAL_PRESENTATION
A transversal matroid can be defined via a multiset of subsets of the ground set (0,…,n-1) (i.e. N_ELEMENTS
needs to be specified). Its bases are the maximal matchings of the bipartite incidence graph.
VECTORS
If the matroid is realizable over the rationals, this property contains coordinates for some realization. Specifying coordinates is one way to define a matroid.
Special purpose properties.
LABELS
Unique names assigned to the elements of the matroid. For a matroid built from scratch, you should create this property by yourself. the labels may be assigned for you in a meaningful way. If you build the matroid with a construction client, (e.g. matroid_from_graph
) the labels may be assigned for you in a meaningful way.
More complex properties of the matroid.
COTRANSVERSAL
Whether the dual of the matroid is transversal, i.e. same as TRANSVERSAL
STRICT_GAMMOID
Alias for COTRANSVERSAL
These are methods that form (part of) an axiom system defining a matroid. Most of these can be used to create a matroid.
COCIRCUITS
COLOOPS
rank()
calculate the rank of a set with respect to a given matroid