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/- | |
Copyright (c) 2020 Bhavik Mehta. All rights reserved. | |
Released under Apache 2.0 license as described in the file LICENSE. | |
Authors: Bhavik Mehta, Alena Gusakov | |
-/ | |
import data.fintype.basic | |
import algebra.geom_sum | |
/-! | |
# Colex | |
We define the colex ordering for finite sets, and give a couple of important | |
lemmas and properties relating to it. | |
The colex ordering likes to avoid large values - it can be thought of on | |
`finset ℕ` as the "binary" ordering. That is, order A based on | |
`∑_{i ∈ A} 2^i`. | |
It's defined here in a slightly more general way, requiring only `has_lt α` in | |
the definition of colex on `finset α`. In the context of the Kruskal-Katona | |
theorem, we are interested in particular on how colex behaves for sets of a | |
fixed size. If the size is 3, colex on ℕ starts | |
123, 124, 134, 234, 125, 135, 235, 145, 245, 345, ... | |
## Main statements | |
* `colex.hom_lt_iff`: strictly monotone functions preserve colex | |
* Colex order properties - linearity, decidability and so on. | |
* `forall_lt_of_colex_lt_of_forall_lt`: if A < B in colex, and everything | |
in B is < t, then everything in A is < t. This confirms the idea that | |
an enumeration under colex will exhaust all sets using elements < t before | |
allowing t to be included. | |
* `sum_two_pow_le_iff_lt`: colex for α = ℕ is the same as binary | |
(this also proves binary expansions are unique) | |
## See also | |
Related files are: | |
* `data.list.lex`: Lexicographic order on lists. | |
* `data.pi.lex`: Lexicographic order on `Πₗ i, α i`. | |
* `data.psigma.order`: Lexicographic order on `Σ' i, α i`. | |
* `data.sigma.order`: Lexicographic order on `Σ i, α i`. | |
* `data.prod.lex`: Lexicographic order on `α × β`. | |
## Tags | |
colex, colexicographic, binary | |
## References | |
* https://github.com/b-mehta/maths-notes/blob/master/iii/mich/combinatorics.pdf | |
-/ | |
variable {α : Type*} | |
open finset | |
open_locale big_operators | |
/-- | |
We define this type synonym to refer to the colexicographic ordering on finsets | |
rather than the natural subset ordering. | |
-/ | |
@[derive inhabited] | |
def finset.colex (α) := finset α | |
/-- | |
A convenience constructor to turn a `finset α` into a `finset.colex α`, useful in order to | |
use the colex ordering rather than the subset ordering. | |
-/ | |
def finset.to_colex {α} (s : finset α) : finset.colex α := s | |
@[simp] | |
lemma colex.eq_iff (A B : finset α) : | |
A.to_colex = B.to_colex ↔ A = B := iff.rfl | |
/-- | |
`A` is less than `B` in the colex ordering if the largest thing that's not in both sets is in B. | |
In other words, `max (A ∆ B) ∈ B` (if the maximum exists). | |
-/ | |
instance [has_lt α] : has_lt (finset.colex α) := | |
⟨λ (A B : finset α), ∃ (k : α), (∀ {x}, k < x → (x ∈ A ↔ x ∈ B)) ∧ k ∉ A ∧ k ∈ B⟩ | |
/-- We can define (≤) in the obvious way. -/ | |
instance [has_lt α] : has_le (finset.colex α) := | |
⟨λ A B, A < B ∨ A = B⟩ | |
lemma colex.lt_def [has_lt α] (A B : finset α) : | |
A.to_colex < B.to_colex ↔ ∃ k, (∀ {x}, k < x → (x ∈ A ↔ x ∈ B)) ∧ k ∉ A ∧ k ∈ B := | |
iff.rfl | |
lemma colex.le_def [has_lt α] (A B : finset α) : | |
A.to_colex ≤ B.to_colex ↔ A.to_colex < B.to_colex ∨ A = B := | |
iff.rfl | |
/-- If everything in `A` is less than `k`, we can bound the sum of powers. -/ | |
lemma nat.sum_two_pow_lt {k : ℕ} {A : finset ℕ} (h₁ : ∀ {x}, x ∈ A → x < k) : | |
A.sum (pow 2) < 2^k := | |
begin | |
apply lt_of_le_of_lt (sum_le_sum_of_subset (λ t, mem_range.2 ∘ h₁)), | |
have z := geom_sum_mul_add 1 k, | |
rw [mul_one, one_add_one_eq_two] at z, | |
rw ← z, | |
apply nat.lt_succ_self, | |
end | |
namespace colex | |
/-- Strictly monotone functions preserve the colex ordering. -/ | |
lemma hom_lt_iff {β : Type*} [linear_order α] [decidable_eq β] [preorder β] | |
{f : α → β} (h₁ : strict_mono f) (A B : finset α) : | |
(A.image f).to_colex < (B.image f).to_colex ↔ A.to_colex < B.to_colex := | |
begin | |
simp only [colex.lt_def, not_exists, mem_image, exists_prop, not_and], | |
split, | |
{ rintro ⟨k, z, q, k', _, rfl⟩, | |
exact ⟨k', λ x hx, by simpa [h₁.injective.eq_iff] using z (h₁ hx), λ t, q _ t rfl, ‹k' ∈ B›⟩ }, | |
rintro ⟨k, z, ka, _⟩, | |
refine ⟨f k, λ x hx, _, _, k, ‹k ∈ B›, rfl⟩, | |
{ split, | |
any_goals | |
{ rintro ⟨x', hx', rfl⟩, | |
refine ⟨x', _, rfl⟩, | |
rwa ← z _ <|> rwa z _, | |
rwa strict_mono.lt_iff_lt h₁ at hx } }, | |
{ simp only [h₁.injective, function.injective.eq_iff], | |
exact λ x hx, ne_of_mem_of_not_mem hx ka } | |
end | |
/-- A special case of `colex.hom_lt_iff` which is sometimes useful. -/ | |
@[simp] lemma hom_fin_lt_iff {n : ℕ} (A B : finset (fin n)) : | |
(A.image (λ i : fin n, (i : ℕ))).to_colex < (B.image (λ i : fin n, (i : ℕ))).to_colex | |
↔ A.to_colex < B.to_colex := | |
colex.hom_lt_iff (λ x y k, k) _ _ | |
instance [has_lt α] : is_irrefl (finset.colex α) (<) := | |
⟨λ A h, exists.elim h (λ _ ⟨_,a,b⟩, a b)⟩ | |
@[trans] | |
lemma lt_trans [linear_order α] {a b c : finset.colex α} : a < b → b < c → a < c := | |
begin | |
rintros ⟨k₁, k₁z, notinA, inB⟩ ⟨k₂, k₂z, notinB, inC⟩, | |
cases lt_or_gt_of_ne (ne_of_mem_of_not_mem inB notinB), | |
{ refine ⟨k₂, λ x hx, _, by rwa k₁z h, inC⟩, | |
rw ← k₂z hx, | |
apply k₁z (trans h hx) }, | |
{ refine ⟨k₁, λ x hx, _, notinA, by rwa ← k₂z h⟩, | |
rw k₁z hx, | |
apply k₂z (trans h hx) } | |
end | |
@[trans] | |
lemma le_trans [linear_order α] (a b c : finset.colex α) : a ≤ b → b ≤ c → a ≤ c := | |
λ AB BC, AB.elim (λ k, BC.elim (λ t, or.inl (lt_trans k t)) (λ t, t ▸ AB)) (λ k, k.symm ▸ BC) | |
instance [linear_order α] : is_trans (finset.colex α) (<) := ⟨λ _ _ _, colex.lt_trans⟩ | |
lemma lt_trichotomy [linear_order α] (A B : finset.colex α) : | |
A < B ∨ A = B ∨ B < A := | |
begin | |
by_cases h₁ : (A = B), | |
{ tauto }, | |
rcases (exists_max_image (A \ B ∪ B \ A) id _) with ⟨k, hk, z⟩, | |
{ simp only [mem_union, mem_sdiff] at hk, | |
cases hk, | |
{ right, | |
right, | |
refine ⟨k, λ t th, _, hk.2, hk.1⟩, | |
specialize z t, | |
by_contra h₂, | |
simp only [mem_union, mem_sdiff, id.def] at z, | |
rw [not_iff, iff_iff_and_or_not_and_not, not_not, and_comm] at h₂, | |
apply not_le_of_lt th (z h₂) }, | |
{ left, | |
refine ⟨k, λ t th, _, hk.2, hk.1⟩, | |
specialize z t, | |
by_contra h₃, | |
simp only [mem_union, mem_sdiff, id.def] at z, | |
rw [not_iff, iff_iff_and_or_not_and_not, not_not, and_comm, or_comm] at h₃, | |
apply not_le_of_lt th (z h₃) }, }, | |
rw nonempty_iff_ne_empty, | |
intro a, | |
simp only [union_eq_empty_iff, sdiff_eq_empty_iff_subset] at a, | |
apply h₁ (subset.antisymm a.1 a.2) | |
end | |
instance [linear_order α] : is_trichotomous (finset.colex α) (<) := ⟨lt_trichotomy⟩ | |
instance decidable_lt [linear_order α] : ∀ {A B : finset.colex α}, decidable (A < B) := | |
show ∀ A B : finset α, decidable (A.to_colex < B.to_colex), | |
from λ A B, decidable_of_iff' | |
(∃ (k ∈ B), (∀ x ∈ A ∪ B, k < x → (x ∈ A ↔ x ∈ B)) ∧ k ∉ A) | |
begin | |
rw colex.lt_def, | |
apply exists_congr, | |
simp only [mem_union, exists_prop, or_imp_distrib, and_comm (_ ∈ B), and_assoc], | |
intro k, | |
refine and_congr_left' (forall_congr _), | |
tauto, | |
end | |
instance [linear_order α] : linear_order (finset.colex α) := | |
{ le_refl := λ A, or.inr rfl, | |
le_trans := le_trans, | |
le_antisymm := λ A B AB BA, AB.elim (λ k, BA.elim (λ t, (asymm k t).elim) (λ t, t.symm)) id, | |
le_total := λ A B, | |
(lt_trichotomy A B).elim3 (or.inl ∘ or.inl) (or.inl ∘ or.inr) (or.inr ∘ or.inl), | |
decidable_le := λ A B, by apply_instance, | |
decidable_lt := λ A B, by apply_instance, | |
decidable_eq := λ A B, by apply_instance, | |
lt_iff_le_not_le := λ A B, | |
begin | |
split, | |
{ intro t, | |
refine ⟨or.inl t, _⟩, | |
rintro (i | rfl), | |
{ apply asymm_of _ t i }, | |
{ apply irrefl _ t } }, | |
rintro ⟨h₁ | rfl, h₂⟩, | |
{ apply h₁ }, | |
apply h₂.elim (or.inr rfl), | |
end, | |
..finset.colex.has_lt, | |
..finset.colex.has_le } | |
/-- The instances set up let us infer that `colex.lt` is a strict total order. -/ | |
example [linear_order α] : is_strict_total_order (finset.colex α) (<) := infer_instance | |
/-- Strictly monotone functions preserve the colex ordering. -/ | |
lemma hom_le_iff {β : Type*} [linear_order α] [linear_order β] | |
{f : α → β} (h₁ : strict_mono f) (A B : finset α) : | |
(A.image f).to_colex ≤ (B.image f).to_colex ↔ A.to_colex ≤ B.to_colex := | |
by rw [le_iff_le_iff_lt_iff_lt, hom_lt_iff h₁] | |
/-- A special case of `colex_hom` which is sometimes useful. -/ | |
@[simp] lemma hom_fin_le_iff {n : ℕ} (A B : finset (fin n)) : | |
(A.image (λ i : fin n, (i : ℕ))).to_colex ≤ (B.image (λ i : fin n, (i : ℕ))).to_colex | |
↔ A.to_colex ≤ B.to_colex := | |
colex.hom_le_iff (λ x y k, k) _ _ | |
/-- | |
If `A` is before `B` in colex, and everything in `B` is small, then everything in `A` is small. | |
-/ | |
lemma forall_lt_of_colex_lt_of_forall_lt [linear_order α] {A B : finset α} | |
(t : α) (h₁ : A.to_colex < B.to_colex) (h₂ : ∀ x ∈ B, x < t) : | |
∀ x ∈ A, x < t := | |
begin | |
rw colex.lt_def at h₁, | |
rcases h₁ with ⟨k, z, _, _⟩, | |
intros x hx, | |
apply lt_of_not_ge, | |
intro a, | |
refine not_lt_of_ge a (h₂ x _), | |
rwa ← z, | |
apply lt_of_lt_of_le (h₂ k ‹_›) a, | |
end | |
/-- `s.to_colex < {r}.to_colex` iff all elements of `s` are less than `r`. -/ | |
lemma lt_singleton_iff_mem_lt [linear_order α] {r : α} {s : finset α} : | |
s.to_colex < ({r} : finset α).to_colex ↔ ∀ x ∈ s, x < r := | |
begin | |
simp only [lt_def, mem_singleton, ←and_assoc, exists_eq_right], | |
split, | |
{ intros t x hx, | |
rw ←not_le, | |
intro h, | |
rcases lt_or_eq_of_le h with h₁ | rfl, | |
{ exact ne_of_irrefl h₁ ((t.1 h₁).1 hx).symm }, | |
{ exact t.2 hx } }, | |
{ exact λ h, ⟨λ z hz, ⟨λ i, (asymm hz (h _ i)).elim, λ i, (hz.ne' i).elim⟩, by simpa using h r⟩ } | |
end | |
/-- If {r} is less than or equal to s in the colexicographical sense, | |
then s contains an element greater than or equal to r. -/ | |
lemma mem_le_of_singleton_le [linear_order α] {r : α} {s : finset α}: | |
({r} : finset α).to_colex ≤ s.to_colex ↔ ∃ x ∈ s, r ≤ x := | |
by { rw ←not_lt, simp [lt_singleton_iff_mem_lt] } | |
/-- Colex is an extension of the base ordering on α. -/ | |
lemma singleton_lt_iff_lt [linear_order α] {r s : α} : | |
({r} : finset α).to_colex < ({s} : finset α).to_colex ↔ r < s := | |
by simp [lt_singleton_iff_mem_lt] | |
/-- Colex is an extension of the base ordering on α. -/ | |
lemma singleton_le_iff_le [linear_order α] {r s : α} : | |
({r} : finset α).to_colex ≤ ({s} : finset α).to_colex ↔ r ≤ s := | |
by rw [le_iff_le_iff_lt_iff_lt, singleton_lt_iff_lt] | |
/-- Colex doesn't care if you remove the other set -/ | |
@[simp] lemma sdiff_lt_sdiff_iff_lt [has_lt α] [decidable_eq α] (A B : finset α) : | |
(A \ B).to_colex < (B \ A).to_colex ↔ A.to_colex < B.to_colex := | |
begin | |
rw [colex.lt_def, colex.lt_def], | |
apply exists_congr, | |
intro k, | |
simp only [mem_sdiff, not_and, not_not], | |
split, | |
{ rintro ⟨z, kAB, kB, kA⟩, | |
refine ⟨_, kA, kB⟩, | |
{ intros x hx, | |
specialize z hx, | |
tauto } }, | |
{ rintro ⟨z, kA, kB⟩, | |
refine ⟨_, λ _, kB, kB, kA⟩, | |
intros x hx, | |
rw z hx }, | |
end | |
/-- Colex doesn't care if you remove the other set -/ | |
@[simp] lemma sdiff_le_sdiff_iff_le [linear_order α] (A B : finset α) : | |
(A \ B).to_colex ≤ (B \ A).to_colex ↔ A.to_colex ≤ B.to_colex := | |
by rw [le_iff_le_iff_lt_iff_lt, sdiff_lt_sdiff_iff_lt] | |
lemma empty_to_colex_lt [linear_order α] {A : finset α} (hA : A.nonempty) : | |
(∅ : finset α).to_colex < A.to_colex := | |
begin | |
rw [colex.lt_def], | |
refine ⟨max' _ hA, _, by simp, max'_mem _ _⟩, | |
simp only [false_iff, not_mem_empty], | |
intros x hx t, | |
apply not_le_of_lt hx (le_max' _ _ t), | |
end | |
/-- If `A ⊂ B`, then `A` is less than `B` in the colex order. Note the converse does not hold, as | |
`⊆` is not a linear order. -/ | |
lemma colex_lt_of_ssubset [linear_order α] {A B : finset α} (h : A ⊂ B) : | |
A.to_colex < B.to_colex := | |
begin | |
rw [←sdiff_lt_sdiff_iff_lt, sdiff_eq_empty_iff_subset.2 h.1], | |
exact empty_to_colex_lt (by simpa [finset.nonempty] using exists_of_ssubset h), | |
end | |
@[simp] lemma empty_to_colex_le [linear_order α] {A : finset α} : | |
(∅ : finset α).to_colex ≤ A.to_colex := | |
begin | |
rcases A.eq_empty_or_nonempty with rfl | hA, | |
{ simp }, | |
{ apply (empty_to_colex_lt hA).le }, | |
end | |
/-- If `A ⊆ B`, then `A ≤ B` in the colex order. Note the converse does not hold, as `⊆` is not a | |
linear order. -/ | |
lemma colex_le_of_subset [linear_order α] {A B : finset α} (h : A ⊆ B) : | |
A.to_colex ≤ B.to_colex := | |
begin | |
rw [←sdiff_le_sdiff_iff_le, sdiff_eq_empty_iff_subset.2 h], | |
apply empty_to_colex_le | |
end | |
/-- The function from finsets to finsets with the colex order is a relation homomorphism. -/ | |
@[simps] | |
def to_colex_rel_hom [linear_order α] : | |
((⊆) : finset α → finset α → Prop) →r ((≤) : finset.colex α → finset.colex α → Prop) := | |
{ to_fun := finset.to_colex, | |
map_rel' := λ A B, colex_le_of_subset } | |
instance [linear_order α] : order_bot (finset.colex α) := | |
{ bot := (∅ : finset α).to_colex, | |
bot_le := λ x, empty_to_colex_le } | |
instance [linear_order α] [fintype α] : order_top (finset.colex α) := | |
{ top := finset.univ.to_colex, | |
le_top := λ x, colex_le_of_subset (subset_univ _) } | |
instance [linear_order α] : lattice (finset.colex α) := | |
{ ..(by apply_instance : semilattice_sup (finset.colex α)), | |
..(by apply_instance : semilattice_inf (finset.colex α)) } | |
instance [linear_order α] [fintype α] : bounded_order (finset.colex α) := | |
{ ..(by apply_instance : order_top (finset.colex α)), | |
..(by apply_instance : order_bot (finset.colex α)) } | |
/-- For subsets of ℕ, we can show that colex is equivalent to binary. -/ | |
lemma sum_two_pow_lt_iff_lt (A B : finset ℕ) : | |
∑ i in A, 2^i < ∑ i in B, 2^i ↔ A.to_colex < B.to_colex := | |
begin | |
have z : ∀ (A B : finset ℕ), A.to_colex < B.to_colex → ∑ i in A, 2^i < ∑ i in B, 2^i, | |
{ intros A B, | |
rw [← sdiff_lt_sdiff_iff_lt, colex.lt_def], | |
rintro ⟨k, z, kA, kB⟩, | |
rw ← sdiff_union_inter A B, | |
conv_rhs { rw ← sdiff_union_inter B A }, | |
rw [sum_union (disjoint_sdiff_inter _ _), sum_union (disjoint_sdiff_inter _ _), | |
inter_comm, add_lt_add_iff_right], | |
apply lt_of_lt_of_le (@nat.sum_two_pow_lt k (A \ B) _), | |
{ apply single_le_sum (λ _ _, nat.zero_le _) kB }, | |
intros x hx, | |
apply lt_of_le_of_ne (le_of_not_lt (λ kx, _)), | |
{ apply (ne_of_mem_of_not_mem hx kA) }, | |
have := (z kx).1 hx, | |
rw mem_sdiff at this hx, | |
exact hx.2 this.1 }, | |
refine ⟨λ h, (lt_trichotomy A B).resolve_right (λ h₁, h₁.elim _ (not_lt_of_gt h ∘ z _ _)), z A B⟩, | |
rintro rfl, | |
apply irrefl _ h | |
end | |
/-- For subsets of ℕ, we can show that colex is equivalent to binary. -/ | |
lemma sum_two_pow_le_iff_lt (A B : finset ℕ) : | |
∑ i in A, 2^i ≤ ∑ i in B, 2^i ↔ A.to_colex ≤ B.to_colex := | |
by rw [le_iff_le_iff_lt_iff_lt, sum_two_pow_lt_iff_lt] | |
end colex | |