Domain is GAP's name for structured sets.
We already saw examples of domains in Chapters Groups and Homomorphisms
and Vector Spaces and Algebras:
the groups s8 and a8 in Section Permutation groups are domains,
likewise the field f and the vector space v in
Section Vector Spaces are domains.
They were constructed by functions such as Group and GF,
and they could be passed as arguments to other functions such as
DerivedSubgroup and Dimension.
First of all, a domain D is a set.
If D is finite then a list with the elements of this set can be
computed with the functions AsList and AsSortedList.
For infinite D, Enumerator and EnumeratorSorted may work,
but it is also possible that one gets an error message.
Domains can be used as arguments of set functions such as Intersection
and Union.
GAP tries to return a domain in these cases,
moreover it tries to return a domain with as much structure as possible.
For example, the intersection of two groups is (either empty or) again a
group, and GAP will try to return it as a group.
For Union, the situation is different because the union of two groups
is in general not a group.
gap> g:= Group( (1,2), (3,4) );; gap> h:= Group( (3,4), (5,6) );; gap> Intersection( g, h ); Group([ (3,4) ])
Two domains are regarded as equal w.r.t. the operator ``='' if and only
if they are equal as sets, regardless of the additional structure of the
domains.
gap> mats:= [ [ [ 0*Z(2), Z(2)^0 ], [ Z(2)^0, 0*Z(2) ] ], > [ [ Z(2)^0, 0*Z(2) ], [ 0*Z(2), Z(2)^0 ] ] ];; gap> Ring( mats ) = VectorSpace( GF(2), mats ); true
Additionally, a domain is regarded as equal to the sorted list of its elements.
gap> g:= Group( (1,2) );; gap> l:= AsSortedList( g ); [ (), (1,2) ] gap> g = l; true gap> IsGroup( l ); IsList( g ); false false
The additional structure of D is constituted by the facts that D is
known to be closed under certain operations such as addition or
multiplication, and that these operations have additional properties.
For example, if D is a group then it is closed under multiplication
(D ×D → D, (g,h) → g * h),
under taking inverses (D → D, g → g^-1)
and under taking the identity g^0 of each element g in D;
additionally, the multiplication in D is associative.
The same set of elements can carry different algebraic structures.
For example, a semigroup is defined as being closed under an associative
multiplication, so each group is also a semigroup.
Likewise, a monoid is defined as a semigroup D in which the identity
g^0 is defined for every element g, so each group is a monoid,
and each monoid is a semigroup.
Other examples of domains are vector spaces, which are defined as additive groups that are closed under (left) multiplication with elements in a certain domain of scalars. Also conjugacy classes in a group D are domains, they are closed under the conjugation action of D.
We have seen that a domain is closed under certain operations. Usually a domain is constructed as the closure of some elements under these operations. In this situation, we say that the elements generate the domain.
For example, a list of matrices of the same shape over a common field can be used to generate an additive group or a vector space over a suitable field; if the matrices are square then we can also use the matrices as generators of a semigroup , a ring, or an algebra. We illustrate some of these possibilities:
gap> mats:= [ [ [ 0*Z(2), Z(2)^0 ], > [ Z(2)^0, 0*Z(2) ] ], > [ [ Z(2)^0, 0*Z(2) ], > [ 0*Z(2), Z(2)^0 ] ] ];; gap> Size( AdditiveMagma( mats ) ); 4 gap> Size( VectorSpace( GF(8), mats ) ); 64 gap> Size( Algebra( GF(2), mats ) ); 4 gap> Size( Group( mats ) ); 2Each combination of operations under which a domain could be closed gives a notion of generation. So each group has group generators, and since it is a monoid, one can also ask for monoid generators of a group.
Note that one cannot simply ask for ``the generators of a domain'',
it is always necessary to specify what notion of generation is meant.
Access to the different generators is provided by functions with
names of the form GeneratorsOfSomething.
For example, GeneratorsOfGroup denotes group generators,
GeneratorsOfMonoid denotes monoid generators, and so on.
The result of GeneratorsOfVectorSpace is of course to be understood
relative to the field of scalars of the vector space in question.
gap> GeneratorsOfVectorSpace( GF(4)^2 ); [ [ Z(2)^0, 0*Z(2) ], [ 0*Z(2), Z(2)^0 ] ] gap> v:= AsVectorSpace( GF(2), GF(4)^2 );; gap> GeneratorsOfVectorSpace( v ); [ [ Z(2)^0, 0*Z(2) ], [ 0*Z(2), Z(2)^0 ], [ Z(2^2), 0*Z(2) ], [ 0*Z(2), Z(2^2) ] ]
A group can be constructed from a list of group generators gens by
Group( gens ),
likewise one can construct rings and algebras with the functions Ring
and Algebra.
Note that it is not always or completely checked that gens is in
fact a valid list of group generators, for example whether the
elements of gens can be multiplied or whether they are invertible.
This means that GAP trusts you, at least to some extent, that the
desired domain Something( gens ) does exist.
Besides constructing domains from generators, one can also form the
closure of a given domain with an element or another domain.
There are different notions of closure, one has to specify one
according to the desired result and the structure of the given domain.
The functions to compute closures have names such as
ClosureSomething.
For example, if D is a group and one wants to construct the group
generated by D and an element g then one can use
ClosureGroup( D, g ).
The same set of elements can have different algebraic structures. For example, it may happen that a monoid M does in fact contain the inverses of all of its elements, and thus M is equal to the group formed by the elements of M.
gap> m:= Monoid( mats );; gap> m = Group( mats ); true gap> IsGroup( m ); false
The last result in the above example may be surprising.
But the monoid m is not regarded as a group in GAP,
and moreover there is no way to turn m into a group.
Let us formulate this as a rule:
The set of operations under which the domain is closed is fixed in the construction of a domain, and cannot be changed later.
(Contrary to this, a domain can acquire knowledge about properties such as whether the multiplication is associative or commutative.)
If one needs a domain with a different structure than the given one,
one can construct a new domain with the required structure.
The functions that do these constructions have names such as
AsSomething, they return a domain that has the same elements as the
argument in question but the structure Something.
In the above situation, one can use AsGroup.
gap> g:= AsGroup( m );; gap> m = g; true gap> IsGroup( g ); true
If it is impossible to construct the desired domain, the AsSomething
functions return fail.
gap> AsVectorSpace( GF(4), GF(2)^2 ); fail
The functions AsList and AsSortedList mentioned above do not return
domains, but they fit into the general pattern in the sense that they
forget all the structure of the argument, including the fact that it is
a domain, and return a list with the same elements as the argument has.
It is possible to construct a domain as a subset of an existing domain.
The respective functions have names such as Subsomething,
they return domains with the structure Something.
(Note that the second s in Subsomething is not capitalized.)
For example, if one wants to deal with the subgroup of the domain D
that is generated by the elements in the list gens,
one can use Subgroup( D, gens ).
It is not required that D is itself a group, only that the group generated
by gens must be a subset of D.
The superset of a domain S that was constructed by a Subsomething
function can be accessed as Parent( S ).
gap> g:= SymmetricGroup( 5 );; gap> gens:= [ (1,2), (1,2,3,4) ];; gap> s:= Subgroup( g, gens );; gap> h:= Group( gens );; gap> s = h; true gap> Parent( s ) = g; true
Many functions return subdomains of their arguments, for example
the result of SylowSubgroup( G ) is a group with parent group G.
If you are sure that the domain Something( gens ) is contained in the
domain D then you can also call SubsomethingNC( D, gens ) instead
of Subsomething( D, gens ).
The NC stands for ``no check'', and the functions whose names end with
NC omit the check of containment.
More information about domains can be found in Chapter Domains. Many other other chapters deal with specific types of domain such as groups, vector spaces or algebras.
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GAP 4 manual
March 2006