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add basic README

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Marek Kaluba 2021-06-21 20:36:12 +02:00
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@ -14,7 +14,7 @@ ThreadsX = "ac1d9e8a-700a-412c-b207-f0111f4b6c0d"
[compat] [compat]
AbstractAlgebra = "0.15, 0.16" AbstractAlgebra = "0.15, 0.16"
GroupsCore = "^0.3" GroupsCore = "^0.3"
KnuthBendix = "^0.2.0" KnuthBendix = "^0.2.1"
OrderedCollections = "1" OrderedCollections = "1"
ThreadsX = "^0.1.0" ThreadsX = "^0.1.0"
julia = "1.3, 1.4, 1.5, 1.6" julia = "1.3, 1.4, 1.5, 1.6"

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README.md
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[![Build Status](https://travis-ci.org/kalmarek/Groups.jl.svg?branch=master)](https://travis-ci.org/kalmarek/Groups.jl) [![Build Status](https://travis-ci.org/kalmarek/Groups.jl.svg?branch=master)](https://travis-ci.org/kalmarek/Groups.jl)
[![codecov](https://codecov.io/gh/kalmarek/Groups.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/kalmarek/Groups.jl) [![codecov](https://codecov.io/gh/kalmarek/Groups.jl/branch/master/graph/badge.svg)](https://codecov.io/gh/kalmarek/Groups.jl)
A very rudimentary implementation of finitely-presented groups (syllable representation). Relatively complete are only [automorphism groups of free groups](https://github.com/kalmarek/Groups.jl/blob/master/src/AutGroup.jl) and [wreath products](https://github.com/kalmarek/Groups.jl/blob/master/src/WreathProducts.jl) (which are not finitely-presented, but based on the standard normal form). An implementation of finitely-presented groups together with normalization (using Knuth-Bendix procedure).
Have a look into `test` directory for eample use. The package implements `AbstractFPGroup` with three concrete types: `FreeGroup`, `FPGroup` and `AutomorphismGroup`. Here's an example usage:
```julia
julia> using Groups, GroupsCore
julia> A = Alphabet([:a, :A, :b, :B, :c, :C], [2, 1, 4, 3, 6, 5])
Alphabet of Symbol:
1. :a = (:A)⁻¹
2. :A = (:a)⁻¹
3. :b = (:B)⁻¹
4. :B = (:b)⁻¹
5. :c = (:C)⁻¹
6. :C = (:c)⁻¹
julia> F = FreeGroup(A)
free group on 3 generators
julia> a,b,c = gens(F)
3-element Vector{FPGroupElement{FreeGroup{Symbol}, KnuthBendix.Word{UInt8}}}:
a
b
c
julia> a*inv(a)
(empty word)
julia> (a*b)^2
a*b*a*b
julia> commutator(a, b)
A*B*a*b
julia> x = a*b; y = inv(b)*a;
julia> x*y
a^2
```
Let's create a quotient of the free group above:
```julia
julia> ε = one(F);
julia> G = FPGroup(F, [a^2 => ε, b^3=> ε, (a*b)^7=>ε, (a*b*a*inv(b))^6 => ε, commutator(a, c) => ε, commutator(b, c) => ε ])
┌ Warning: Maximum number of rules (100) reached. The rewriting system may not be confluent.
│ You may retry `knuthbendix` with a larger `maxrules` kwarg.
└ @ KnuthBendix ~/.julia/packages/KnuthBendix/i93Np/src/kbs.jl:6
⟨a, b, c | a^2 => (empty word), b^3 => (empty word), a*b*a*b*a*b*a*b*a*b*a*b*a*b => (empty word), a*b*a*B*a*b*a*B*a*b*a*B*a*b*a*B*a*b*a*B*a*b*a*B => (empty word), A*C*a*c => (empty word), B*C*b*c => (empty word)⟩
```
As you can see from the warning, the Knuth-Bendix procedure has not completed successfully. This means that we only are able to approximate the word problem in `G`, i.e. if the equality (`==`) of two group elements may return `false` even if group elements are equal. Let us try with a larger maximal number of rules in the underlying rewriting system.
```julia
julia> G = FPGroup(F, [a^2 => ε, b^3=> ε, (a*b)^7=>ε, (a*b*a*inv(b))^6 => ε, commutator(a, c) => ε, commutator(b, c) => ε ], maxrules=500)
⟨a, b, c | a^2 => (empty word), b^3 => (empty word), a*b*a*b*a*b*a*b*a*b*a*b*a*b => (empty word), a*b*a*B*a*b*a*B*a*b*a*B*a*b*a*B*a*b*a*B*a*b*a*B => (empty word), A*C*a*c => (empty word), B*C*b*c => (empty word)⟩
```
This time there was no warning, i.e. Knuth-Bendix completion was successful and we may treat the equality (`==`) as true mathematical equality. Note that `G` is the direct product of ` = ⟨ c ⟩` and a quotient of van Dyck `(2,3,7)`-group. Let's create a random word and reduce it as an element of `G`.
```julia
julia> using Random; Random.seed!(1); w = Groups.Word(rand(1:length(A), 16))
KnuthBendix.Word{UInt16}: 4·6·1·1·1·6·5·1·5·2·3·6·2·4·2·6
julia> F(w) # freely reduced w
B*C*a^4*c*A*b*C*A*B*A*C
julia> G(w) # w as an element of G
B*a*b*a*B*a*C^2
julia> F(w) # freely reduced w
B*C*a^4*c*A*b*C*A*B*A*C
julia> word(ans) # the underlying word in A
KnuthBendix.Word{UInt8}: 4·6·1·1·1·1·5·2·3·6·2·4·2·6
julia> G(w) # w as an element of G
B*a*b*a*B*a*C^2
julia> word(ans) # the underlying word in A
KnuthBendix.Word{UInt8}: 4·1·3·1·4·1·6·6
```
As we can see the underlying words change according to where they are reduced.
Note that a word `w` (of type `Word <: AbstractWord`) is just a sequence of numbers -- pointers to letters of an `Alphabet`. Without the alphabet `w` has no meaning.
### Automorphism Groups
Relatively complete is the support for the automorphisms of free groups, as given by Gersten presentation:
```julia
julia> saut = SpecialAutomorphismGroup(F, maxrules=100)
┌ Warning: Maximum number of rules (100) reached. The rewriting system may not be confluent.
│ You may retry `knuthbendix` with a larger `maxrules` kwarg.
└ @ KnuthBendix ~/.julia/packages/KnuthBendix/i93Np/src/kbs.jl:6
automorphism group of free group on 3 generators
julia> S = gens(saut)
12-element Vector{Automorphism{FreeGroup{Symbol},…}}:
ϱ₁.₂
ϱ₁.₃
ϱ₂.₁
ϱ₂.₃
ϱ₃.₁
ϱ₃.₂
λ₁.₂
λ₁.₃
λ₂.₁
λ₂.₃
λ₃.₁
λ₃.₂
julia> x, y, z = S[1], S[12], S[6];
julia> f = x*y*inv(z)
ϱ₁.₂*λ₃.₂*ϱ₃.₂^-1
julia> g = inv(z)*y*x
ϱ₃.₂^-1*ϱ₁.₂*λ₃.₂
julia> word(f), word(g)
(KnuthBendix.Word{UInt8}: 1·12·18, KnuthBendix.Word{UInt8}: 18·1·12)
```
Even though Knuth-Bendix did not finish successfully in automorphism groups we have another ace in our sleeve to solve the word problem: evaluation.
Lets have a look at the images of generators under those automorphisms:
```julia
julia> evaluate(f) # or to be more verbose...
(a*b, b, b*c*B)
julia> Groups.domain(g)
(a, b, c)
julia> Groups.evaluate!(Groups.domain(g), g)
(a*b, b, b*c*B)
```
Since these automorphism map the standard generating set to the same new generating set, they should be considered as equal! And indeed they are:
```julia
julia> f == g
true
```
This is what is happening behind the scenes:
1. words are reduced using a rewriting system
2. if resulting words are equal `true` is returned
3. if they are not equal `Groups.equality_data` is computed for each argument (here: the images of generators) and the result of comparison is returned.
Moreover we try to amortize the cost of computing those images. That is a hash of `equality_daata` is lazily stored in each group element and used as needed. Essentially only if `true` is returned, but comparison of words returns `false` recomputation of images is needed (to guard against hash collisions).
----
This package was developed for computations in [1712.07167](https://arxiv.org/abs/1712.07167) and in [1812.03456](https://arxiv.org/abs/1812.03456). If you happen to use this package please cite either of them.