Theory of conditionally complete lattices. #
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A conditionally complete lattice is a lattice in which every non-empty bounded subset s
has a least upper bound and a greatest lower bound, denoted below by Sup s
and Inf s
.
Typical examples are ℝ
, ℕ
, and ℤ
with their usual orders.
The theory is very comparable to the theory of complete lattices, except that suitable
boundedness and nonemptiness assumptions have to be added to most statements.
We introduce two predicates bdd_above
and bdd_below
to express this boundedness, prove
their basic properties, and then go on to prove most useful properties of Sup
and Inf
in conditionally complete lattices.
To differentiate the statements between complete lattices and conditionally complete
lattices, we prefix Inf
and Sup
in the statements by c
, giving cInf
and cSup
.
For instance, Inf_le
is a statement in complete lattices ensuring Inf s ≤ x
,
while cInf_le
is the same statement in conditionally complete lattices
with an additional assumption that s
is bounded below.
Equations
Equations
- sup : α → α → α
- le : α → α → Prop
- lt : α → α → Prop
- le_refl : ∀ (a : α), a ≤ a
- le_trans : ∀ (a b c : α), a ≤ b → b ≤ c → a ≤ c
- lt_iff_le_not_le : (∀ (a b : α), a < b ↔ a ≤ b ∧ ¬b ≤ a) . "order_laws_tac"
- le_antisymm : ∀ (a b : α), a ≤ b → b ≤ a → a = b
- le_sup_left : ∀ (a b : α), a ≤ a ⊔ b
- le_sup_right : ∀ (a b : α), b ≤ a ⊔ b
- sup_le : ∀ (a b c : α), a ≤ c → b ≤ c → a ⊔ b ≤ c
- inf : α → α → α
- inf_le_left : ∀ (a b : α), a ⊓ b ≤ a
- inf_le_right : ∀ (a b : α), a ⊓ b ≤ b
- le_inf : ∀ (a b c : α), a ≤ b → a ≤ c → a ≤ b ⊓ c
- Sup : set α → α
- Inf : set α → α
- le_cSup : ∀ (s : set α) (a : α), bdd_above s → a ∈ s → a ≤ conditionally_complete_lattice.Sup s
- cSup_le : ∀ (s : set α) (a : α), s.nonempty → a ∈ upper_bounds s → conditionally_complete_lattice.Sup s ≤ a
- cInf_le : ∀ (s : set α) (a : α), bdd_below s → a ∈ s → conditionally_complete_lattice.Inf s ≤ a
- le_cInf : ∀ (s : set α) (a : α), s.nonempty → a ∈ lower_bounds s → a ≤ conditionally_complete_lattice.Inf s
A conditionally complete lattice is a lattice in which every nonempty subset which is bounded above has a supremum, and every nonempty subset which is bounded below has an infimum. Typical examples are real numbers or natural numbers.
To differentiate the statements from the corresponding statements in (unconditional) complete lattices, we prefix Inf and Sup by a c everywhere. The same statements should hold in both worlds, sometimes with additional assumptions of nonemptiness or boundedness.
Instances of this typeclass
- conditionally_complete_linear_order.to_conditionally_complete_lattice
- complete_lattice.to_conditionally_complete_lattice
- order_dual.conditionally_complete_lattice
- pi.conditionally_complete_lattice
- with_top.conditionally_complete_lattice
- with_bot.conditionally_complete_lattice
- seminorm.conditionally_complete_lattice
Instances of other typeclasses for conditionally_complete_lattice
- conditionally_complete_lattice.has_sizeof_inst
- sup : α → α → α
- le : α → α → Prop
- lt : α → α → Prop
- le_refl : ∀ (a : α), a ≤ a
- le_trans : ∀ (a b c : α), a ≤ b → b ≤ c → a ≤ c
- lt_iff_le_not_le : (∀ (a b : α), a < b ↔ a ≤ b ∧ ¬b ≤ a) . "order_laws_tac"
- le_antisymm : ∀ (a b : α), a ≤ b → b ≤ a → a = b
- le_sup_left : ∀ (a b : α), a ≤ a ⊔ b
- le_sup_right : ∀ (a b : α), b ≤ a ⊔ b
- sup_le : ∀ (a b c : α), a ≤ c → b ≤ c → a ⊔ b ≤ c
- inf : α → α → α
- inf_le_left : ∀ (a b : α), a ⊓ b ≤ a
- inf_le_right : ∀ (a b : α), a ⊓ b ≤ b
- le_inf : ∀ (a b c : α), a ≤ b → a ≤ c → a ≤ b ⊓ c
- Sup : set α → α
- Inf : set α → α
- le_cSup : ∀ (s : set α) (a : α), bdd_above s → a ∈ s → a ≤ conditionally_complete_linear_order.Sup s
- cSup_le : ∀ (s : set α) (a : α), s.nonempty → a ∈ upper_bounds s → conditionally_complete_linear_order.Sup s ≤ a
- cInf_le : ∀ (s : set α) (a : α), bdd_below s → a ∈ s → conditionally_complete_linear_order.Inf s ≤ a
- le_cInf : ∀ (s : set α) (a : α), s.nonempty → a ∈ lower_bounds s → a ≤ conditionally_complete_linear_order.Inf s
- le_total : ∀ (a b : α), a ≤ b ∨ b ≤ a
- decidable_le : decidable_rel has_le.le
- decidable_eq : decidable_eq α
- decidable_lt : decidable_rel has_lt.lt
- max_def : conditionally_complete_linear_order.sup = max_default . "reflexivity"
- min_def : conditionally_complete_linear_order.inf = min_default . "reflexivity"
A conditionally complete linear order is a linear order in which every nonempty subset which is bounded above has a supremum, and every nonempty subset which is bounded below has an infimum. Typical examples are real numbers or natural numbers.
To differentiate the statements from the corresponding statements in (unconditional) complete linear orders, we prefix Inf and Sup by a c everywhere. The same statements should hold in both worlds, sometimes with additional assumptions of nonemptiness or boundedness.
Instances of this typeclass
Instances of other typeclasses for conditionally_complete_linear_order
- conditionally_complete_linear_order.has_sizeof_inst
- sup : α → α → α
- le : α → α → Prop
- lt : α → α → Prop
- le_refl : ∀ (a : α), a ≤ a
- le_trans : ∀ (a b c : α), a ≤ b → b ≤ c → a ≤ c
- lt_iff_le_not_le : (∀ (a b : α), a < b ↔ a ≤ b ∧ ¬b ≤ a) . "order_laws_tac"
- le_antisymm : ∀ (a b : α), a ≤ b → b ≤ a → a = b
- le_sup_left : ∀ (a b : α), a ≤ a ⊔ b
- le_sup_right : ∀ (a b : α), b ≤ a ⊔ b
- sup_le : ∀ (a b c : α), a ≤ c → b ≤ c → a ⊔ b ≤ c
- inf : α → α → α
- inf_le_left : ∀ (a b : α), a ⊓ b ≤ a
- inf_le_right : ∀ (a b : α), a ⊓ b ≤ b
- le_inf : ∀ (a b c : α), a ≤ b → a ≤ c → a ≤ b ⊓ c
- Sup : set α → α
- Inf : set α → α
- le_cSup : ∀ (s : set α) (a : α), bdd_above s → a ∈ s → a ≤ conditionally_complete_linear_order_bot.Sup s
- cSup_le : ∀ (s : set α) (a : α), s.nonempty → a ∈ upper_bounds s → conditionally_complete_linear_order_bot.Sup s ≤ a
- cInf_le : ∀ (s : set α) (a : α), bdd_below s → a ∈ s → conditionally_complete_linear_order_bot.Inf s ≤ a
- le_cInf : ∀ (s : set α) (a : α), s.nonempty → a ∈ lower_bounds s → a ≤ conditionally_complete_linear_order_bot.Inf s
- le_total : ∀ (a b : α), a ≤ b ∨ b ≤ a
- decidable_le : decidable_rel has_le.le
- decidable_eq : decidable_eq α
- decidable_lt : decidable_rel has_lt.lt
- max_def : conditionally_complete_linear_order_bot.sup = max_default . "reflexivity"
- min_def : conditionally_complete_linear_order_bot.inf = min_default . "reflexivity"
- bot : α
- bot_le : ∀ (x : α), ⊥ ≤ x
- cSup_empty : conditionally_complete_linear_order_bot.Sup ∅ = ⊥
A conditionally complete linear order with bot
is a linear order with least element, in which
every nonempty subset which is bounded above has a supremum, and every nonempty subset (necessarily
bounded below) has an infimum. A typical example is the natural numbers.
To differentiate the statements from the corresponding statements in (unconditional) complete linear orders, we prefix Inf and Sup by a c everywhere. The same statements should hold in both worlds, sometimes with additional assumptions of nonemptiness or boundedness.
Instances of this typeclass
Instances of other typeclasses for conditionally_complete_linear_order_bot
- conditionally_complete_linear_order_bot.has_sizeof_inst
A complete lattice is a conditionally complete lattice, as there are no restrictions on the properties of Inf and Sup in a complete lattice.
Equations
- complete_lattice.to_conditionally_complete_lattice = {sup := complete_lattice.sup _inst_1, le := complete_lattice.le _inst_1, lt := complete_lattice.lt _inst_1, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := complete_lattice.inf _inst_1, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := complete_lattice.Sup _inst_1, Inf := complete_lattice.Inf _inst_1, le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
Equations
- complete_linear_order.to_conditionally_complete_linear_order_bot = {sup := conditionally_complete_lattice.sup complete_lattice.to_conditionally_complete_lattice, le := conditionally_complete_lattice.le complete_lattice.to_conditionally_complete_lattice, lt := conditionally_complete_lattice.lt complete_lattice.to_conditionally_complete_lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := conditionally_complete_lattice.inf complete_lattice.to_conditionally_complete_lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := conditionally_complete_lattice.Sup complete_lattice.to_conditionally_complete_lattice, Inf := conditionally_complete_lattice.Inf complete_lattice.to_conditionally_complete_lattice, le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _, le_total := _, decidable_le := complete_linear_order.decidable_le _inst_1, decidable_eq := complete_linear_order.decidable_eq _inst_1, decidable_lt := complete_linear_order.decidable_lt _inst_1, max_def := _, min_def := _, bot := complete_linear_order.bot _inst_1, bot_le := _, cSup_empty := _}
A well founded linear order is conditionally complete, with a bottom element.
Equations
- is_well_order.conditionally_complete_linear_order_bot α = {sup := lattice.sup linear_order.to_lattice, le := linear_order.le i₁, lt := linear_order.lt i₁, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf linear_order.to_lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := λ (s : set α), dite (upper_bounds s).nonempty (λ (hs : (upper_bounds s).nonempty), _.min (upper_bounds s) hs) (λ (hs : ¬(upper_bounds s).nonempty), ⊥), Inf := λ (s : set α), dite s.nonempty (λ (hs : s.nonempty), _.min s hs) (λ (hs : ¬s.nonempty), ⊥), le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _, le_total := _, decidable_le := linear_order.decidable_le i₁, decidable_eq := linear_order.decidable_eq i₁, decidable_lt := linear_order.decidable_lt i₁, max_def := _, min_def := _, bot := order_bot.bot i₂, bot_le := _, cSup_empty := _}
Equations
- order_dual.conditionally_complete_lattice α = {sup := lattice.sup (order_dual.lattice α), le := lattice.le (order_dual.lattice α), lt := lattice.lt (order_dual.lattice α), le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf (order_dual.lattice α), inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup (order_dual.has_Sup α), Inf := has_Inf.Inf (order_dual.has_Inf α), le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
Equations
- order_dual.conditionally_complete_linear_order α = {sup := conditionally_complete_lattice.sup (order_dual.conditionally_complete_lattice α), le := conditionally_complete_lattice.le (order_dual.conditionally_complete_lattice α), lt := conditionally_complete_lattice.lt (order_dual.conditionally_complete_lattice α), le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := conditionally_complete_lattice.inf (order_dual.conditionally_complete_lattice α), inf_le_left := _, inf_le_right := _, le_inf := _, Sup := conditionally_complete_lattice.Sup (order_dual.conditionally_complete_lattice α), Inf := conditionally_complete_lattice.Inf (order_dual.conditionally_complete_lattice α), le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _, le_total := _, decidable_le := linear_order.decidable_le (order_dual.linear_order α), decidable_eq := linear_order.decidable_eq (order_dual.linear_order α), decidable_lt := linear_order.decidable_lt (order_dual.linear_order α), max_def := _, min_def := _}
Create a conditionally_complete_lattice
from a partial_order
and Sup
function
that returns the least upper bound of a nonempty set which is bounded above. Usually this
constructor provides poor definitional equalities. If other fields are known explicitly, they
should be provided; for example, if inf
is known explicitly, construct the
conditionally_complete_lattice
instance as
instance : conditionally_complete_lattice my_T :=
{ inf := better_inf,
le_inf := ...,
inf_le_right := ...,
inf_le_left := ...
-- don't care to fix sup, Inf
..conditionally_complete_lattice_of_Sup my_T _ }
Equations
- conditionally_complete_lattice_of_Sup α bdd_above_pair bdd_below_pair is_lub_Sup = {sup := λ (a b : α), has_Sup.Sup {a, b}, le := partial_order.le H1, lt := partial_order.lt H1, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := λ (a b : α), has_Sup.Sup (lower_bounds {a, b}), inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup H2, Inf := λ (s : set α), has_Sup.Sup (lower_bounds s), le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
Create a conditionally_complete_lattice_of_Inf
from a partial_order
and Inf
function
that returns the greatest lower bound of a nonempty set which is bounded below. Usually this
constructor provides poor definitional equalities. If other fields are known explicitly, they
should be provided; for example, if inf
is known explicitly, construct the
conditionally_complete_lattice
instance as
instance : conditionally_complete_lattice my_T :=
{ inf := better_inf,
le_inf := ...,
inf_le_right := ...,
inf_le_left := ...
-- don't care to fix sup, Sup
..conditionally_complete_lattice_of_Inf my_T _ }
Equations
- conditionally_complete_lattice_of_Inf α bdd_above_pair bdd_below_pair is_glb_Inf = {sup := λ (a b : α), has_Inf.Inf (upper_bounds {a, b}), le := partial_order.le H1, lt := partial_order.lt H1, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := λ (a b : α), has_Inf.Inf {a, b}, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := λ (s : set α), has_Inf.Inf (upper_bounds s), Inf := has_Inf.Inf H2, le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
A version of conditionally_complete_lattice_of_Sup
when we already know that α
is a lattice.
This should only be used when it is both hard and unnecessary to provide Inf
explicitly.
Equations
- conditionally_complete_lattice_of_lattice_of_Sup α is_lub_Sup = {sup := lattice.sup H1, le := lattice.le H1, lt := lattice.lt H1, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf H1, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := conditionally_complete_lattice.Sup (conditionally_complete_lattice_of_Sup α _ _ is_lub_Sup), Inf := conditionally_complete_lattice.Inf (conditionally_complete_lattice_of_Sup α _ _ is_lub_Sup), le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
A version of conditionally_complete_lattice_of_Inf
when we already know that α
is a lattice.
This should only be used when it is both hard and unnecessary to provide Sup
explicitly.
Equations
- conditionally_complete_lattice_of_lattice_of_Inf α is_glb_Inf = {sup := lattice.sup H1, le := lattice.le H1, lt := lattice.lt H1, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf H1, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := conditionally_complete_lattice.Sup (conditionally_complete_lattice_of_Inf α _ _ is_glb_Inf), Inf := conditionally_complete_lattice.Inf (conditionally_complete_lattice_of_Inf α _ _ is_glb_Inf), le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
A greatest element of a set is the supremum of this set.
A least element of a set is the infimum of this set.
Introduction rule to prove that b
is the supremum of s
: it suffices to check that b
is larger than all elements of s
, and that this is not the case of any w<b
.
See Sup_eq_of_forall_le_of_forall_lt_exists_gt
for a version in complete lattices.
Introduction rule to prove that b
is the infimum of s
: it suffices to check that b
is smaller than all elements of s
, and that this is not the case of any w>b
.
See Inf_eq_of_forall_ge_of_forall_gt_exists_lt
for a version in complete lattices.
b < Sup s when there is an element a in s with b < a, when s is bounded above. This is essentially an iff, except that the assumptions for the two implications are slightly different (one needs boundedness above for one direction, nonemptiness and linear order for the other one), so we formulate separately the two implications, contrary to the complete_lattice case.
Inf s < b when there is an element a in s with a < b, when s is bounded below. This is essentially an iff, except that the assumptions for the two implications are slightly different (one needs boundedness below for one direction, nonemptiness and linear order for the other one), so we formulate separately the two implications, contrary to the complete_lattice case.
If all elements of a nonempty set s
are less than or equal to all elements
of a nonempty set t
, then there exists an element between these sets.
The supremum of a singleton is the element of the singleton
The infimum of a singleton is the element of the singleton
If a set is bounded below and above, and nonempty, its infimum is less than or equal to its supremum.
The sup of a union of two sets is the max of the suprema of each subset, under the assumptions that all sets are bounded above and nonempty.
The inf of a union of two sets is the min of the infima of each subset, under the assumptions that all sets are bounded below and nonempty.
The supremum of an intersection of two sets is bounded by the minimum of the suprema of each set, if all sets are bounded above and nonempty.
The infimum of an intersection of two sets is bounded below by the maximum of the infima of each set, if all sets are bounded below and nonempty.
The supremum of insert a s is the maximum of a and the supremum of s, if s is nonempty and bounded above.
The infimum of insert a s is the minimum of a and the infimum of s, if s is nonempty and bounded below.
Introduction rule to prove that b
is the supremum of f
: it suffices to check that b
is larger than f i
for all i
, and that this is not the case of any w<b
.
See supr_eq_of_forall_le_of_forall_lt_exists_gt
for a version in complete lattices.
Introduction rule to prove that b
is the infimum of f
: it suffices to check that b
is smaller than f i
for all i
, and that this is not the case of any w>b
.
See infi_eq_of_forall_ge_of_forall_gt_exists_lt
for a version in complete lattices.
Nested intervals lemma: if f
is a monotone sequence, g
is an antitone sequence, and
f n ≤ g n
for all n
, then ⨆ n, f n
belongs to all the intervals [f n, g n]
.
Nested intervals lemma: if [f n, g n]
is an antitone sequence of nonempty
closed intervals, then ⨆ n, f n
belongs to all the intervals [f n, g n]
.
Introduction rule to prove that b is the supremum of s: it suffices to check that
- b is an upper bound
- every other upper bound b' satisfies b ≤ b'.
Equations
- pi.conditionally_complete_lattice = {sup := lattice.sup pi.lattice, le := lattice.le pi.lattice, lt := lattice.lt pi.lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf pi.lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup pi.has_Sup, Inf := has_Inf.Inf pi.has_Inf, le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
When b < Sup s, there is an element a in s with b < a, if s is nonempty and the order is a linear order.
Indexed version of the above lemma exists_lt_of_lt_cSup
.
When b < supr f
, there is an element i
such that b < f i
.
When Inf s < b, there is an element a in s with a < b, if s is nonempty and the order is a linear order.
Indexed version of the above lemma exists_lt_of_cInf_lt
When infi f < a
, there is an element i
such that f i < a
.
Lemmas about a conditionally complete linear order with bottom element #
In this case we have Sup ∅ = ⊥
, so we can drop some nonempty
/set.nonempty
assumptions.
The Sup of a non-empty set is its least upper bound for a conditionally complete lattice with a top.
The Inf of a bounded-below set is its greatest lower bound for a conditionally complete lattice with a top.
Equations
- with_top.complete_linear_order = {sup := lattice.sup with_top.lattice, le := linear_order.le with_top.linear_order, lt := linear_order.lt with_top.linear_order, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf with_top.lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup with_top.has_Sup, le_Sup := _, Sup_le := _, Inf := has_Inf.Inf with_top.has_Inf, Inf_le := _, le_Inf := _, top := order_top.top with_top.order_top, bot := order_bot.bot with_top.order_bot, le_top := _, bot_le := _, le_total := _, decidable_le := linear_order.decidable_le with_top.linear_order, decidable_eq := linear_order.decidable_eq with_top.linear_order, decidable_lt := linear_order.decidable_lt with_top.linear_order, max_def := _, min_def := _}
A version of with_top.coe_Sup'
with a more convenient but less general statement.
A version of with_top.coe_Inf'
with a more convenient but less general statement.
A monotone function into a conditionally complete lattice preserves the ordering properties of
Sup
and Inf
.
Supremum/infimum of set.image2
#
A collection of lemmas showing what happens to the suprema/infima of s
and t
when mapped under
a binary function whose partial evaluations are lower/upper adjoints of Galois connections.
Complete lattice structure on with_top (with_bot α)
#
If α
is a conditionally_complete_lattice
, then we show that with_top α
and with_bot α
also inherit the structure of conditionally complete lattices. Furthermore, we show
that with_top (with_bot α)
and with_bot (with_top α)
naturally inherit the structure of a
complete lattice. Note that for α
a conditionally complete lattice, Sup
and Inf
both return
junk values for sets which are empty or unbounded. The extension of Sup
to with_top α
fixes
the unboundedness problem and the extension to with_bot α
fixes the problem with
the empty set.
This result can be used to show that the extended reals [-∞, ∞]
are a complete linear order.
Adding a top element to a conditionally complete lattice gives a conditionally complete lattice
Equations
- with_top.conditionally_complete_lattice = {sup := lattice.sup with_top.lattice, le := lattice.le with_top.lattice, lt := lattice.lt with_top.lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf with_top.lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup with_top.has_Sup, Inf := has_Inf.Inf with_top.has_Inf, le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
Adding a bottom element to a conditionally complete lattice gives a conditionally complete lattice
Equations
- with_bot.conditionally_complete_lattice = {sup := lattice.sup with_bot.lattice, le := lattice.le with_bot.lattice, lt := lattice.lt with_bot.lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf with_bot.lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup with_bot.has_Sup, Inf := has_Inf.Inf with_bot.has_Inf, le_cSup := _, cSup_le := _, cInf_le := _, le_cInf := _}
Equations
- with_top.with_bot.complete_lattice = {sup := lattice.sup with_top.lattice, le := lattice.le with_top.lattice, lt := lattice.lt with_top.lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf with_top.lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup with_top.has_Sup, le_Sup := _, Sup_le := _, Inf := has_Inf.Inf with_top.has_Inf, Inf_le := _, le_Inf := _, top := bounded_order.top with_top.bounded_order, bot := bounded_order.bot with_top.bounded_order, le_top := _, bot_le := _}
Equations
- with_top.with_bot.complete_linear_order = {sup := complete_lattice.sup with_top.with_bot.complete_lattice, le := complete_lattice.le with_top.with_bot.complete_lattice, lt := complete_lattice.lt with_top.with_bot.complete_lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := complete_lattice.inf with_top.with_bot.complete_lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := complete_lattice.Sup with_top.with_bot.complete_lattice, le_Sup := _, Sup_le := _, Inf := complete_lattice.Inf with_top.with_bot.complete_lattice, Inf_le := _, le_Inf := _, top := complete_lattice.top with_top.with_bot.complete_lattice, bot := complete_lattice.bot with_top.with_bot.complete_lattice, le_top := _, bot_le := _, le_total := _, decidable_le := linear_order.decidable_le with_top.linear_order, decidable_eq := linear_order.decidable_eq with_top.linear_order, decidable_lt := linear_order.decidable_lt with_top.linear_order, max_def := _, min_def := _}
Equations
- with_bot.with_top.complete_lattice = {sup := lattice.sup with_bot.lattice, le := lattice.le with_bot.lattice, lt := lattice.lt with_bot.lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := lattice.inf with_bot.lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := has_Sup.Sup with_bot.has_Sup, le_Sup := _, Sup_le := _, Inf := has_Inf.Inf with_bot.has_Inf, Inf_le := _, le_Inf := _, top := bounded_order.top with_bot.bounded_order, bot := bounded_order.bot with_bot.bounded_order, le_top := _, bot_le := _}
Equations
- with_bot.with_top.complete_linear_order = {sup := complete_lattice.sup with_bot.with_top.complete_lattice, le := complete_lattice.le with_bot.with_top.complete_lattice, lt := complete_lattice.lt with_bot.with_top.complete_lattice, le_refl := _, le_trans := _, lt_iff_le_not_le := _, le_antisymm := _, le_sup_left := _, le_sup_right := _, sup_le := _, inf := complete_lattice.inf with_bot.with_top.complete_lattice, inf_le_left := _, inf_le_right := _, le_inf := _, Sup := complete_lattice.Sup with_bot.with_top.complete_lattice, le_Sup := _, Sup_le := _, Inf := complete_lattice.Inf with_bot.with_top.complete_lattice, Inf_le := _, le_Inf := _, top := complete_lattice.top with_bot.with_top.complete_lattice, bot := complete_lattice.bot with_bot.with_top.complete_lattice, le_top := _, bot_le := _, le_total := _, decidable_le := linear_order.decidable_le with_bot.linear_order, decidable_eq := linear_order.decidable_eq with_bot.linear_order, decidable_lt := linear_order.decidable_lt with_bot.linear_order, max_def := _, min_def := _}