PropertyT.jl/src/OrbitDecomposition.jl

202 lines
5.6 KiB
Julia

include("Projections.jl")
###############################################################################
#
# Iterator protocol for Nemo.FinField
#
###############################################################################
type FFEltsIter{T<:Nemo.FinField}
all::Int
field::T
function FFEltsIter(F::T)
return new(Int(characteristic(F)^degree(F)), F)
end
end
FFEltsIter{T<:Nemo.FinField}(F::T) = FFEltsIter{T}(F)
import Base: start, next, done, eltype, length
Base.start(A::FFEltsIter) = (zero(A.field), 0)
Base.next(A::FFEltsIter, state) = next_ffelem(state...)
Base.done(A::FFEltsIter, state) = state[2] >= A.all
Base.eltype(::Type{FFEltsIter}) = elem_type(A.field)
Base.length(A::FFEltsIter) = A.all
function next_ffelem(f::Nemo.FinFieldElem, c::Int)
if c == 0
return (f, (f, 1))
elseif c == 1
f = one(parent(f))
return (f, (f, 2))
else
f = gen(parent(f))*f
return (f, (f, c+1))
end
end
import Nemo.elements
elements(F::Nemo.FinField) = FFEltsIter(F)
###############################################################################
#
# Orbit stuff
#
###############################################################################
function orbit_decomposition(G::Nemo.Group, E::Vector, rdict=GroupRings.reverse_dict(E))
elts = collect(elements(G))
tovisit = trues(E);
orbits = Vector{Vector{Int}}()
for i in 1:endof(E)
if tovisit[i]
orbit = Vector{Int}()
a = E[i]
for g in elts
idx = rdict[g(a)]
tovisit[idx] = false
push!(orbit,idx)
end
push!(orbits, unique(orbit))
end
end
return orbits
end
function orbit_spvector(vect::AbstractVector, orbits)
orb_vector = spzeros(length(orbits))
for (i,o) in enumerate(orbits)
k = vect[collect(o)]
val = k[1]
@assert all(k .== val)
orb_vector[i] = val
end
return orb_vector
end
function orbit_constraint(constraints::Vector{Vector{Vector{Int64}}}, n)
result = spzeros(n,n)
for cnstr in constraints
for p in cnstr
result[p[2], p[1]] += 1.0
end
end
return 1/length(constraints)*result
end
###############################################################################
#
# Matrix- and C*-representations
#
###############################################################################
function matrix_repr(g::GroupElem, E, E_dict)
rep_matrix = spzeros(Int, length(E), length(E))
for (i,elt) in enumerate(E)
j = E_dict[g(elt)]
rep_matrix[i,j] = 1
end
return rep_matrix
end
function matrix_reps{T<:GroupElem}(G::Group, S::Vector{T}, AutS::Group, radius::Int)
Id = (isa(G, Nemo.Ring) ? one(G) : G())
E2, _ = Groups.generate_balls(S, Id, radius=radius)
Edict = GroupRings.reverse_dict(E2)
mreps = Dict(g=>matrix_repr(g, E2, Edict) for g in elements(AutS))
return mreps
end
function reconstruct_sol{T<:GroupElem, S<:AbstractArray}(mreps::Dict{T, S},
Us::Vector, Ps::Vector, dims::Vector)
s = size(first(mreps).second)
recP = zeros(Float64, s)
tmp = [zeros(Float64, s) for _ in 1:length(Us)]
ks = [(g, inv(g)) for g in keys(mreps)]
Threads.@threads for π in 1:length(Us)
for (g, invg) in ks
tmp[π] += dims[π]*mreps[g]*Us[π]*Ps[π]*Us[π]'*mreps[invg]
end
end
recP += 1/length(keys(mreps)) .* sum(tmp)
recP[abs.(recP) .< eps(eltype(recP))] = zero(eltype(recP))
return recP
end
function Cstar_repr{T}(x::GroupRingElem{T}, mreps::Dict)
res = spzeros(size(mreps[first(keys(mreps))])...)
for g in parent(x).basis
if x[g] != zero(T)
res .+= Float64(x[g]).*mreps[g]
end
end
return res
end
function orthSVD(M::AbstractMatrix)
M = full(M)
fact = svdfact(M)
singv = fact[:S]
M_rank = sum(singv .> maximum(size(M))*eps(eltype(singv)))
return fact[:U][:,1:M_rank]
end
function compute_orbit_data{T<:GroupElem}(logger, name::String, G::Nemo.Group, S::Vector{T}, AutS; radius=2)
isdir(name) || mkdir(name)
info(logger, "Generating ball of radius $(2*radius)")
# TODO: Fix that by multiple dispatch?
Id = (isa(G, Nemo.Ring) ? one(G) : G())
@time E4, sizes = Groups.generate_balls(S, Id, radius=2*radius);
info(logger, "Balls of sizes $sizes.")
info(logger, "Reverse dict")
@time E_dict = GroupRings.reverse_dict(E4)
info(logger, "Product matrix")
@time pm = GroupRings.create_pm(E4, E_dict, sizes[radius], twisted=true)
RG = GroupRing(G, E4, E_dict, pm)
Δ = PropertyT.splaplacian(RG, S)
@assert GroupRings.augmentation(Δ) == 0
save(joinpath(name, "delta.jld"), "Δ", Δ.coeffs)
save(joinpath(name, "pm.jld"), "pm", pm)
info(logger, "Decomposing E into orbits of $(AutS)")
@time orbs = orbit_decomposition(AutS, E4, E_dict)
@assert sum(length(o) for o in orbs) == length(E4)
save(joinpath(name, "orbits.jld"), "orbits", orbs)
info(logger, "Action matrices")
E2 = E4[1:sizes[radius]]
@time AutS_mreps = Dict(g=>matrix_repr(g, E2, E_dict) for g in elements(AutS))
info(logger, "Projections")
@time AutS_mps = rankOne_projections(AutS);
@time π_E_projections = [Cstar_repr(p, AutS_mreps) for p in AutS_mps]
info(logger, "Uπs...")
@time Uπs = orthSVD.(π_E_projections)
multiplicities = size.(Uπs,2)
info(logger, "multiplicities = $multiplicities")
dimensions = [Int(p[AutS()]*Int(order(AutS))) for p in AutS_mps];
info(logger, "dimensions = $dimensions")
@assert dot(multiplicities, dimensions) == sizes[radius]
save(joinpath(name, "U_pis.jld"), "Uπs", Uπs, "spUπs", sparsify.(Uπs), "dims", dimensions)
return 0
end