forked from oscar-system/Oscar.jl
-
Notifications
You must be signed in to change notification settings - Fork 6
Expand file tree
/
Copy pathcartan_eilenberg_resolution.jl
More file actions
212 lines (196 loc) · 7.88 KB
/
cartan_eilenberg_resolution.jl
File metadata and controls
212 lines (196 loc) · 7.88 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
#= Cartan Eilenberg resolutions of 1-dimensional complexes
#
# Suppose
#
# 0 ← C₀ ← C₁ ← C₂ ← …
#
# is a bounded below complex. We compute a double complex
#
# 0 0 0
# ↑ ↑ ↑
# 0 ← P₀₀ ← P₀₁ ← P₀₂ ← …
# ↑ ↑ ↑
# 0 ← P₁₀ ← P₁₁ ← P₁₂ ← …
# ↑ ↑ ↑
# 0 ← P₂₀ ← P₂₁ ← P₂₂ ← …
# ↑ ↑ ↑
# ⋮ ⋮ ⋮
#
# whose total complex is quasi-isomorphic to C via some augmentation map
#
# ε = (εᵢ : P₀ᵢ → Cᵢ)ᵢ
#
# The challenge is that if we were only computing resolutions of the Cᵢ's
# and lifting the maps, then the rows of the resulting diagrams would
# not necessarily form complexes. To accomplish that, we split the original
# complex into short exact sequences
#
# 0 ← Bᵢ ← Cᵢ ← Zᵢ ← 0
#
# and apply the Horse shoe lemma to these. Together with the induced maps
# from Bᵢ ↪ Zᵢ₋₁ we get the desired double complex.
#
# If the original complex C is known to be exact, then there is no need
# to compute the resolutions of both Bᵢ and Zᵢ and we can shorten the procedure.
=#
### Production of the chains
struct CEChainFactory{ChainType} <: HyperComplexChainFactory{ChainType}
c::AbsHyperComplex
is_exact::Bool
kernel_resolutions::Dict{Int, <:AbsHyperComplex} # the kernels of Cᵢ → Cᵢ₋₁
boundary_resolutions::Dict{Int, <:AbsHyperComplex} # the boundaries of Cᵢ₊₁ → Cᵢ
induced_maps::Dict{Int, <:AbsHyperComplexMorphism} # the induced maps from the free
# resolutions of the boundary and kernel
function CEChainFactory(c::AbsHyperComplex; is_exact::Bool=false)
@assert dim(c) == 1 "complex must be 1-dimensional"
#@assert has_lower_bound(c, 1) "complex must be bounded from below"
return new{chain_type(c)}(c, is_exact, Dict{Int, AbsHyperComplex}(), Dict{Int, AbsHyperComplex}(), Dict{Int, AbsHyperComplexMorphism}())
end
end
function kernel_resolution(fac::CEChainFactory, i::Int)
if !haskey(fac.kernel_resolutions, i)
Z, _ = kernel(fac.c, i)
fac.kernel_resolutions[i] = free_resolution(SimpleFreeResolution, Z)[1]
end
return fac.kernel_resolutions[i]
end
function boundary_resolution(fac::CEChainFactory, i::Int)
if !haskey(fac.boundary_resolutions, i)
Z, _ = boundary(fac.c, i)
fac.boundary_resolutions[i] = free_resolution(SimpleFreeResolution, Z)[1]
end
return fac.boundary_resolutions[i]
end
function induced_map(fac::CEChainFactory, i::Int)
if !haskey(fac.induced_maps, i)
Z, inc = kernel(fac.c, i)
B, pr = boundary(fac.c, i)
@assert ambient_free_module(Z) === ambient_free_module(B)
img_gens = elem_type(Z)[Z(g) for g in ambient_representatives_generators(B)]
res_Z = kernel_resolution(fac, i)
res_B = boundary_resolution(fac, i)
aug_Z = augmentation_map(res_Z)
aug_B = augmentation_map(res_B)
img_gens = gens(res_B[0])
img_gens = aug_B[0].(img_gens)
img_gens = elem_type(res_Z[0])[preimage(aug_Z[0], Z(repres(aug_B[0](g)))) for g in gens(res_B[0])]
psi = hom(res_B[0], res_Z[0], img_gens; check=true) # TODO: Set to false
@assert domain(psi) === boundary_resolution(fac, i)[0]
@assert codomain(psi) === kernel_resolution(fac, i)[0]
fac.induced_maps[i] = lift_map(boundary_resolution(fac, i), kernel_resolution(fac, i), psi; start_index=0)
end
return fac.induced_maps[i]
end
function (fac::CEChainFactory)(self::AbsHyperComplex, I::Tuple)
(i, j) = I # i the resolution index, j the index in C
res_Z = kernel_resolution(fac, j)
if can_compute_map(fac.c, 1, (j,))
if fac.is_exact # Use the next kernel directly
res_B = kernel_resolution(fac, j-1)
return direct_sum(res_B[i], res_Z[i])[1]
else
res_B = boundary_resolution(fac, j-1)
return direct_sum(res_B[i], res_Z[i])[1]
end
end
# We may assume that the next map can not be computed and is, hence, zero.
return res_Z[i]
end
function can_compute(fac::CEChainFactory, self::AbsHyperComplex, I::Tuple)
(i, j) = I
can_compute_index(fac.c, (j,)) || return false
return i >= 0
end
### Production of the morphisms
struct CEMapFactory{MorphismType} <: HyperComplexMapFactory{MorphismType} end
function (fac::CEMapFactory)(self::AbsHyperComplex, p::Int, I::Tuple)
(i, j) = I
cfac = chain_factory(self)
if p == 1 # vertical upwards maps
if can_compute_map(cfac.c, 1, (j,))
# both dom and cod are direct sums in this case
dom = self[I]
cod = self[(i-1, j)]
pr1 = canonical_projection(dom, 1)
pr2 = canonical_projection(dom, 2)
@assert domain(pr1) === domain(pr2) === dom
inc1 = canonical_injection(cod, 1)
inc2 = canonical_injection(cod, 2)
@assert codomain(inc1) === codomain(inc2) === cod
res_Z = kernel_resolution(cfac, j)
@assert domain(map(res_Z, i)) === codomain(pr2)
@assert codomain(map(res_Z, i)) === domain(inc2)
res_B = boundary_resolution(cfac, j-1)
@assert domain(map(res_B, i)) === codomain(pr1)
@assert codomain(map(res_B, i)) === domain(inc1)
return compose(pr1, compose(map(res_B, i), inc1)) + compose(pr2, compose(map(res_Z, i), inc2))
else
res_Z = kernel_resolution(cfac, j)
return map(res_Z, i)
end
error("execution should never reach this point")
elseif p == 2 # the horizontal maps
dom = self[I]
cod = self[(i, j-1)]
if can_compute_map(cfac.c, 1, (j-1,))
# the codomain is also a direct sum
if !cfac.is_exact
psi = induced_map(cfac, j-1)
phi = psi[i]
inc = canonical_injection(cod, 2)
pr = canonical_projection(dom, 1)
@assert codomain(phi) === domain(inc)
@assert codomain(pr) === domain(phi)
return compose(pr, compose(phi, inc))
else
inc = canonical_injection(cod, 2)
pr = canonical_projection(dom, 1)
return compose(pr, inc)
end
error("execution should never reach this point")
else
# the codomain is just the kernel
if !cfac.is_exact
psi = induced_map(cfac, j-1)
phi = psi[i]
pr = canonical_projection(dom, 1)
return compose(pr, phi)
else
pr = canonical_projection(dom, 1)
return pr
end
error("execution should never reach this point")
end
error("execution should never reach this point")
end
error("direction $p out of bounds")
end
function can_compute(fac::CEMapFactory, self::AbsHyperComplex, p::Int, I::Tuple)
(i, j) = I
if p == 1 # vertical maps
return i > 0 && can_compute(chain_factory(self).c, j)
elseif p == 2 # horizontal maps
return i >= 0 && can_compute_map(chain_factory(self).c, j)
end
return false
end
### The concrete struct
@attributes mutable struct CartanEilenbergResolution{ChainType, MorphismType} <: AbsHyperComplex{ChainType, MorphismType}
internal_complex::HyperComplex{ChainType, MorphismType}
function CartanEilenbergResolution(
c::AbsHyperComplex{ChainType, MorphismType};
is_exact::Bool=false
) where {ChainType, MorphismType}
@assert dim(c) == 1 "complexes must be 1-dimensional"
@assert has_lower_bound(c, 1) "complexes must be bounded from below"
@assert direction(c, 1) == :chain "resolutions are only implemented for chain complexes"
chain_fac = CEChainFactory(c; is_exact)
map_fac = CEMapFactory{MorphismType}() # TODO: Do proper type inference here!
# Assuming d is the dimension of the new complex
internal_complex = HyperComplex(2, chain_fac, map_fac, [:chain, :chain]; lower_bounds = Union{Int, Nothing}[0, lower_bound(c, 1)])
# Assuming that ChainType and MorphismType are provided by the input
return new{ChainType, MorphismType}(internal_complex)
end
end
### Implementing the AbsHyperComplex interface via `underlying_complex`
underlying_complex(c::CartanEilenbergResolution) = c.internal_complex