# 12. Sets in Lean¶

In the last chapter, we noted that although in axiomatic set theory one considers sets of disparate objects, it is more common in mathematics to consider subsets of some fixed domain, \(\mathcal U\). This is the way sets are handled in Lean. For any data type `U`

, Lean gives us a new data type, `set U`

, consisting of the sets of elements of `U`

. Thus, for example, we can reason about sets of natural numbers, or sets of integers, or sets of pairs of natural numbers.

## 12.1. Basics¶

Given `A : set U`

and `x : U`

, we can write `x ∈ A`

to state that `x`

is a member of the set `A`

. The character `∈`

can be typed using `\in`

.

```
import data.set
open set
variable {U : Type}
variables A B C : set U
variable x : U
#check x ∈ A
#check A ∪ B
#check B \ C
#check C ∩ A
#check Cᶜ
#check ∅ ⊆ A
#check B ⊆ univ
```

You can type the symbols `⊆`

, `∅`

, `∪`

, `∩`

, `\`

as `\subeq`

`\empty`

, `\un`

, `\i`

, and `\`

, respectively. We have made the type variable `U`

implicit, because it can typically be inferred from context. The universal set is denoted `univ`

, and set complementation is denoted with the superscripted letter “c,” which you can enter as `\^c`

or `\compl`

. Basic set-theoretic notions like these are defined in Lean’s core library, but additional theorems and notation are available in an auxiliary library that we have loaded with the command `import data.set`

, which has to appear at the beginning of a file. The command `open set`

lets us refer to a theorem named `set.mem_union`

as `mem_union`

.

The following pattern can be used to show that `A`

is a subset of `B`

:

```
example : A ⊆ B :=
assume x,
assume h : x ∈ A,
show x ∈ B, from sorry
```

And the following pattern can be used to show that `A`

and `B`

are equal:

```
example : A = B :=
eq_of_subset_of_subset
(assume x,
assume h : x ∈ A,
show x ∈ B, from sorry)
(assume x,
assume h : x ∈ B,
show x ∈ A, from sorry)
```

Alternatively, we can use the following pattern:

```
example : A = B :=
ext (assume x, iff.intro
(assume h : x ∈ A,
show x ∈ B, from sorry)
(assume h : x ∈ B,
show x ∈ A, from sorry))
```

Here, `ext`

is short for “extensionality.” In symbolic terms, it is the following fact:

This reduces proving \(A = B\) to proving \(\forall x \; (x \in A \leftrightarrow x \in B)\), which we can do using \(\forall\) and \(\leftrightarrow\) introduction.

Moreover, Lean supports the following nifty feature: the defining rules for union, intersection and other operations on sets are considered to hold “definitionally.” This means that the expressions `x ∈ A ∩ B`

and `x ∈ A ∧ x ∈ B`

mean the same thing to Lean. This is the same for the other constructions on sets; for example `x ∈ A \ B`

and `x ∈ A ∧ ¬ (x ∈ B)`

mean the same thing to Lean. You can also write `x ∉ B`

for `¬ (x ∈ B)`

, where `∉`

is written using `\notin`

. For the other set constructions, the defining equivalences in the last chapter hold definitionally. The following example illustrates these features.

```
example : ∀ x, x ∈ A → x ∈ B → x ∈ A ∩ B :=
assume x,
assume : x ∈ A,
assume : x ∈ B,
show x ∈ A ∩ B, from and.intro ‹x ∈ A› ‹x ∈ B›
example : A ⊆ A ∪ B :=
assume x,
assume : x ∈ A,
show x ∈ A ∪ B, from or.inl this
example : ∅ ⊆ A :=
assume x,
assume : x ∈ ∅,
show x ∈ A, from false.elim ‹x ∈ (∅ : set U)›
```

Remember from Section 4.5 that we can use `assume`

without a label, and refer back to hypotheses using French quotes, entered with `\f<`

and `\f>`

. We have used this feature in the previous example. Without that feature, we could have written the examples above as follows:

```
example : ∀ x, x ∈ A → x ∈ B → x ∈ A ∩ B :=
assume x,
assume h1 : x ∈ A,
assume h2 : x ∈ B,
show x ∈ A ∩ B, from and.intro h1 h2
example : A ⊆ A ∪ B :=
assume x,
assume h : x ∈ A,
show x ∈ A ∪ B, from or.inl h
example : ∅ ⊆ A :=
assume x,
assume h : x ∈ (∅ : set U),
show x ∈ A, from false.elim h
```

Below, and in the chapters that follow, we will begin to use `assume`

and `have`

command without labels, but you should feel free to adopt whatever style you prefer.

Notice also that in the last example, we had to annotate the empty set by writing `(∅ : set U)`

to tell Lean which empty set we mean. Lean can often infer information like this from the context (for example, from the fact that we are trying to show `x ∈ A`

, where `A`

has type `set U`

), but in this case, it needs a bit more help.

Alternatively, we can use versions theorems in the Lean library that are designed specifically for use with sets:

```
example : ∀ x, x ∈ A → x ∈ B → x ∈ A ∩ B :=
assume x,
assume : x ∈ A,
assume : x ∈ B,
show x ∈ A ∩ B, from mem_inter ‹x ∈ A› ‹x ∈ B›
example : A ⊆ A ∪ B :=
assume x,
assume h : x ∈ A,
show x ∈ A ∪ B, from mem_union_left B h
example : ∅ ⊆ A :=
assume x,
assume : x ∈ ∅,
show x ∈ A, from absurd this (not_mem_empty x)
```

Remember that `absurd`

can be used to prove any fact from two contradictory hypotheses `h1 : P`

and `h2 : ¬ P`

. Here the `not_mem_empty x`

is the fact `x ∉ ∅`

. You can see the statements of the theorems using the `#check`

command in Lean:

```
#check @mem_inter
#check @mem_of_mem_inter_left
#check @mem_of_mem_inter_right
#check @mem_union_left
#check @mem_union_right
#check @mem_or_mem_of_mem_union
#check @not_mem_empty
```

Here, the `@`

symbol in Lean prevents it from trying to fill in implicit arguments automatically, forcing it to display the full statement of the theorem.

The fact that Lean can identify sets with their logical definitions makes it easy to prove inclusions between sets:

```
example : A \ B ⊆ A :=
assume x,
assume : x ∈ A \ B,
show x ∈ A, from and.left this
example : A \ B ⊆ Bᶜ :=
assume x,
assume : x ∈ A \ B,
have x ∉ B, from and.right this,
show x ∈ Bᶜ, from this
```

Once again, we can use versions of the theorems designed specifically for sets:

```
example : A \ B ⊆ A :=
assume x,
assume : x ∈ A \ B,
show x ∈ A, from mem_of_mem_diff this
example : A \ B ⊆ Bᶜ :=
assume x,
assume : x ∈ A \ B,
have x ∉ B, from not_mem_of_mem_diff this,
show x ∈ Bᶜ, from this
```

The fact that Lean has to unfold definitions means that it can be confused at times. For example, in the proof below, if you replace the last line by `sorry`

, Lean has trouble figuring out that you want it to unfold the subset symbol:

```
variable {U : Type}
variables A B : set U
example : A ∩ B ⊆ B ∩ A :=
assume x,
assume h : x ∈ A ∩ B,
have h1 : x ∈ A, from and.left h,
have h2 : x ∈ B, from and.right h,
and.intro h2 h1
```

One workaround is to use the `show`

command; in general, providing Lean with such additional information is often helpful. Another is to workaround is to give the theorem a name, which prompts Lean to use a slightly different method of processing the proof, fixing the problem as a lucky side effect.

```
example : A ∩ B ⊆ B ∩ A :=
assume x,
assume h : x ∈ A ∩ B,
have h1 : x ∈ A, from and.left h,
have h2 : x ∈ B, from and.right h,
show x ∈ B ∩ A, from sorry
theorem my_example : A ∩ B ⊆ B ∩ A :=
assume x,
assume h : x ∈ A ∩ B,
have h1 : x ∈ A, from and.left h,
have h2 : x ∈ B, from and.right h,
sorry
```

## 12.2. Some Identities¶

Here is the proof of the first identity that we proved informally in the previous chapter:

```
example : A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C) :=
eq_of_subset_of_subset
(assume x,
assume h : x ∈ A ∩ (B ∪ C),
have x ∈ A, from and.left h,
have x ∈ B ∪ C, from and.right h,
or.elim (‹x ∈ B ∪ C›)
(assume : x ∈ B,
have x ∈ A ∩ B, from and.intro ‹x ∈ A› ‹x ∈ B›,
show x ∈ (A ∩ B) ∪ (A ∩ C), from or.inl this)
(assume : x ∈ C,
have x ∈ A ∩ C, from and.intro ‹x ∈ A› ‹x ∈ C›,
show x ∈ (A ∩ B) ∪ (A ∩ C), from or.inr this))
(assume x,
assume : x ∈ (A ∩ B) ∪ (A ∩ C),
or.elim this
(assume h : x ∈ A ∩ B,
have x ∈ A, from and.left h,
have x ∈ B, from and.right h,
have x ∈ B ∪ C, from or.inl this,
show x ∈ A ∩ (B ∪ C), from and.intro ‹x ∈ A› this)
(assume h : x ∈ A ∩ C,
have x ∈ A, from and.left h,
have x ∈ C, from and.right h,
have x ∈ B ∪ C, from or.inr this,
show x ∈ A ∩ (B ∪ C), from and.intro ‹x ∈ A› this))
```

Notice that it is considerably longer than the informal proof in the last chapter, because we have spelled out every last detail. Unfortunately, this does not necessarily make it more readable. Keep in mind that you can always write long proofs incrementally, using `sorry`

. You can also break up long proofs into smaller pieces:

```
theorem inter_union_subset : A ∩ (B ∪ C) ⊆ (A ∩ B) ∪ (A ∩ C) :=
assume x,
assume h : x ∈ A ∩ (B ∪ C),
have x ∈ A, from and.left h,
have x ∈ B ∪ C, from and.right h,
or.elim (‹x ∈ B ∪ C›)
(assume : x ∈ B,
have x ∈ A ∩ B, from and.intro ‹x ∈ A› ‹x ∈ B›,
show x ∈ (A ∩ B) ∪ (A ∩ C), from or.inl this)
(assume : x ∈ C,
have x ∈ A ∩ C, from and.intro ‹x ∈ A› ‹x ∈ C›,
show x ∈ (A ∩ B) ∪ (A ∩ C), from or.inr this)
theorem inter_union_inter_subset :
(A ∩ B) ∪ (A ∩ C) ⊆ A ∩ (B ∪ C) :=
assume x,
assume : x ∈ (A ∩ B) ∪ (A ∩ C),
or.elim this
(assume h : x ∈ A ∩ B,
have x ∈ A, from and.left h,
have x ∈ B, from and.right h,
have x ∈ B ∪ C, from or.inl this,
show x ∈ A ∩ (B ∪ C), from and.intro ‹x ∈ A› this)
(assume h : x ∈ A ∩ C,
have x ∈ A, from and.left h,
have x ∈ C, from and.right h,
have x ∈ B ∪ C, from or.inr this,
show x ∈ A ∩ (B ∪ C), from and.intro ‹x ∈ A› this)
example : A ∩ (B ∪ C) = (A ∩ B) ∪ (A ∩ C) :=
eq_of_subset_of_subset
(inter_union_subset A B C)
(inter_union_inter_subset A B C)
```

Notice that the two theorems depend on the variables `A`

, `B`

, and `C`

, which have to be supplied as arguments when they are applied. They also depend on the underlying type, `U`

, but because the variable `U`

was marked implicit, Lean figures it out from the context.

In the last chapter, we showed \((A \cap \overline B) \cup B = B\). Here is the corresponding proof in Lean:

```
example : (A ∩ Bᶜ) ∪ B = A ∪ B :=
calc
(A ∩ Bᶜ) ∪ B = (A ∪ B) ∩ (Bᶜ ∪ B) : by rw union_distrib_right
... = (A ∪ B) ∩ univ : by rw compl_union_self
... = A ∪ B : by rw inter_univ
```

Translated to propositions, the theorem above states that for every pair of elements \(A\) and \(B\) in a Boolean algebra, \((A \wedge \neg B) \vee B = B\). Lean allows us to do calculations on propositions as though they are elements of a Boolean algebra, with equality replaced by `↔`

.

```
variables A B : Prop
example : (A ∧ ¬ B) ∨ B ↔ A ∨ B :=
calc
(A ∧ ¬ B) ∨ B ↔ (A ∨ B) ∧ (¬ B ∨ B) : by rw and_or_distrib_right
... ↔ (A ∨ B) ∧ true : by rw not_or_self
... ↔ (A ∨ B) : by rw and_true
```

## 12.3. Indexed Families¶

Remember that if \((A_i)_{i \in I}\) is a family of sets indexed by \(I\), then \(\bigcap_{i \in I} A_i\) denotes the intersection of all the sets \(A_i\), and \(\bigcup_{i \in I} A_i\) denotes their union. In Lean, we can specify that `A`

is a family of sets by writing `A : I → set U`

where `I`

is a `Type`

. In other words, a family of sets is really a function which for each element `i`

of type `I`

returns a set `A i`

. We can then define the union and intersection as follows:

```
variables {I U : Type}
def Union (A : I → set U) : set U := { x | ∃ i : I, x ∈ A i }
def Inter (A : I → set U) : set U := { x | ∀ i : I, x ∈ A i }
section
variables (x : U) (A : I → set U)
example (h : x ∈ Union A) : ∃ i, x ∈ A i := h
example (h : x ∈ Inter A) : ∀ i, x ∈ A i := h
end
```

The examples show that Lean can unfold the definitions so that `x ∈ Inter A`

can be treated as `∀ i, x ∈ A i`

and `x ∈ Union A`

can be treated as `∃ i, x ∈ A i`

. To refresh your memory as to how to work with the universal and existential quantifiers in Lean, see Chapters 9. We can then define notation for the indexed union and intersection:

```
notation `⋃` binders `, ` r:(scoped f, Union f) := r
notation `⋂` binders `, ` r:(scoped f, Inter f) := r
variables (A : I → set U) (x : U)
example (h : x ∈ ⋃ i, A i) : ∃ i, x ∈ A i := h
example (h : x ∈ ⋂ i, A i) : ∀ i, x ∈ A i := h
```

You can type `⋂`

and `⋃`

with `\I`

and `\Un`

, respectively. As with quantifiers, the notation `⋃ i, A i`

and `⋂ i, A i`

bind the variable `i`

in the expression, and the scope extends as widely as possible. For example, if you write `⋂ i, A i ∪ B`

, Lean assumes that the ith element of the sequence is `A i ∪ B`

. If you want to restrict the scope more narrowly, use parentheses.

The good news is that Lean’s library does define indexed union and intersection, with this notation, and the definitions are made available with `import data.set`

. The bad news is that it uses a different definition, so that `x ∈ Inter A`

and `x ∈ Union A`

are *not* definitionally equal to `∀ i, x ∈ A i`

and `∃ i, x ∈ A i`

, as above. The good news is that Lean at least knows that they are equivalent:

```
import data.set
open set
variables {I U : Type}
variables {A B : I → set U}
theorem exists_of_mem_Union {x : U} (h : x ∈ ⋃ i, A i) :
∃ i, x ∈ A i :=
by simp * at *
theorem mem_Union_of_exists {x : U} (h : ∃ i, x ∈ A i) :
x ∈ ⋃ i, A i :=
by simp * at *
theorem forall_of_mem_Inter {x : U} (h : x ∈ ⋂ i, A i) :
∀ i, x ∈ A i :=
by simp * at *
theorem mem_Inter_of_forall {x : U} (h : ∀ i, x ∈ A i) :
x ∈ ⋂ i, A i :=
by simp * at *
```

The command `simp * at *`

calls upon Lean’s automation to carry out the proofs. Here is an example of how these can be used:

```
example : (⋂ i, A i ∩ B i) = (⋂ i, A i) ∩ (⋂ i, B i) :=
ext $
assume x : U,
iff.intro
(assume h : x ∈ ⋂ i, A i ∩ B i,
have h1 : ∀ i, x ∈ A i ∩ B i, from forall_of_mem_Inter h,
have h2 : ∀ i, x ∈ A i, from assume i, and.left (h1 i),
have h3 : ∀ i, x ∈ B i, from assume i, and.right (h1 i),
have h4 : x ∈ ⋂ i, A i, from mem_Inter_of_forall h2,
have h5 : x ∈ ⋂ i, B i, from mem_Inter_of_forall h3,
and.intro h4 h5)
(assume h : x ∈ (⋂ i, A i) ∩ (⋂ i, B i),
have h1 : ∀ i, x ∈ A i,
from forall_of_mem_Inter (and.left h),
have h2 : ∀ i, x ∈ B i,
from forall_of_mem_Inter (and.right h),
have h3 : ∀ i, x ∈ A i ∩ B i,
from assume i, and.intro (h1 i) (h2 i),
show x ∈ ⋂ i, A i ∩ B i, from mem_Inter_of_forall h3)
```

Even better, we can prove introduction and elimination rules for intersection and union:

```
import data.set
open set
variables {I U : Type}
variables {A : I → set U}
theorem Inter.intro {x : U} (h : ∀ i, x ∈ A i) : x ∈ ⋂ i, A i :=
by simp; assumption
@[elab_simple]
theorem Inter.elim {x : U} (h : x ∈ ⋂ i, A i) (i : I) : x ∈ A i :=
by simp at h; apply h
theorem Union.intro {x : U} (i : I) (h : x ∈ A i) :
x ∈ ⋃ i, A i :=
by {simp, existsi i, exact h}
theorem Union.elim {b : Prop} {x : U}
(h₁ : x ∈ ⋃ i, A i) (h₂ : ∀ (i : I), x ∈ A i → b) : b :=
by {simp at h₁, cases h₁ with i h, exact h₂ i h}
```

Don’t worry about what the proofs mean. What is important is how they can be used, which is what the following patterns illustrate:

```
example (x : U) : x ∈ ⋂ i, A i :=
Inter.intro $
assume i,
show x ∈ A i, from sorry
example (x : U) (i : I) (h : x ∈ ⋂ i, A i) : x ∈ A i :=
Inter.elim h i
example (x : U) (i : I) (h : x ∈ A i) : x ∈ ⋃ i, A i :=
Union.intro i h
example (C : Prop) (x : U) (h : x ∈ ⋃ i, A i) : C :=
Union.elim h $
assume i,
assume h : x ∈ A i,
show C, from sorry
```

Remember that the dollar sign saves us the trouble of having to put parentheses around the rest of the proof. Notice that with `Inter.intro`

and `Inter.elim`

, proofs using indexed intersections looks just like proofs using the universal quantifier. Similarly, `Union.intro`

and `Union.elim`

mirror the introduction and elimination rules for the existential quantifier. The following example provides one direction of an equivalence proved above:

```
variables {I U : Type}
variables (A : I → set U) (B : I → set U) (C : set U)
example : (⋂ i, A i ∩ B i) ⊆ (⋂ i, A i) ∩ (⋂ i, B i) :=
assume x : U,
assume h : x ∈ ⋂ i, A i ∩ B i,
have h1 : x ∈ ⋂ i, A i, from
Inter.intro $
assume i : I,
have h2 : x ∈ A i ∩ B i, from Inter.elim h i,
show x ∈ A i, from and.left h2,
have h2 : x ∈ ⋂ i, B i, from
Inter.intro $
assume i : I,
have h2 : x ∈ A i ∩ B i, from Inter.elim h i,
show x ∈ B i, from and.right h2,
show x ∈ (⋂ i, A i) ∩ (⋂ i, B i), from and.intro h1 h2
```

You are asked to prove the other direction in the exercises below. Here is an example that shows how to use the introduction and elimination rules for indexed union:

```
variables {I U : Type}
variables (A : I → set U) (B : I → set U) (C : set U)
example : (⋃ i, C ∩ A i) ⊆ C ∩ (⋃i, A i) :=
assume x,
assume h : x ∈ ⋃ i, C ∩ A i,
Union.elim h $
assume i,
assume h1 : x ∈ C ∩ A i,
have h2 : x ∈ C, from and.left h1,
have h3 : x ∈ A i, from and.right h1,
have h4 : x ∈ ⋃ i, A i, from Union.intro i h3,
show x ∈ C ∩ ⋃ i, A i, from and.intro h2 h4
```

Once again, we ask you to prove the other direction in the exercises below.

Sometimes we want to work with families \((A_{i, j})_{i \in I, j \in J}\) indexed by two variables. This is also easy to manage in Lean: if we declare `A : I → J → set U`

, then given `i : I`

and `j : J`

, we have that `A i j : set U`

. (You should interpret the expression `I → J → set U`

as `I → (J → set U)`

, so that `A i`

has type `J → set U`

, and then `A i j`

has type `set U`

.) Here is an example of a proof involving a such a doubly-indexed family:

```
section
variables {I J U : Type}
variables (A : I → J → set U)
example : (⋃i, ⋂j, A i j) ⊆ (⋂j, ⋃i, A i j) :=
assume x,
assume h : x ∈ ⋃i, ⋂j, A i j,
Union.elim h $
assume i,
assume h1 : x ∈ ⋂ j, A i j,
show x ∈ ⋂j, ⋃i, A i j, from
Inter.intro $
assume j,
have h2 : x ∈ A i j, from Inter.elim h1 j,
Union.intro i h2
end
```

## 12.4. Power Sets¶

We can also define the power set in Lean:

```
variable {U : Type}
def powerset (A : set U) : set (set U) := {B : set U | B ⊆ A}
example (A B : set U) (h : B ∈ powerset A) : B ⊆ A :=
h
```

As the example shows, `B ∈ powerset A`

is then definitionally the same as `B ⊆ A`

.

In fact, `powerset`

is defined in Lean in exactly this way, and is available to you when you `import data.set`

and `open set`

. Here is an example of how it is used:

```
#check powerset A
example : A ∈ powerset (A ∪ B) :=
assume x,
assume : x ∈ A,
show x ∈ A ∪ B, from or.inl ‹x ∈ A›
```

In essence, the example proves `A ⊆ A ∪ B`

. In the exercises below, we ask you to prove, formally, that for every `A B : set U`

, we have `powerset A ⊆ powerset B`

## 12.5. Exercises¶

Fill in the

`sorry`

’s.example : ∀ x, x ∈ A ∩ C → x ∈ A ∪ B := sorry example : ∀ x, x ∈ (A ∪ B)ᶜ → x ∈ Aᶜ := sorry

Fill in the

`sorry`

.import data.set open set section variable {U : Type} /- defining "disjoint" -/ def disj (A B : set U) : Prop := ∀ ⦃x⦄, x ∈ A → x ∈ B → false example (A B : set U) (h : ∀ x, ¬ (x ∈ A ∧ x ∈ B)) : disj A B := assume x, assume h1 : x ∈ A, assume h2 : x ∈ B, have h3 : x ∈ A ∧ x ∈ B, from and.intro h1 h2, show false, from h x h3 -- notice that we do not have to mention x when applying -- h : disj A B example (A B : set U) (h1 : disj A B) (x : U) (h2 : x ∈ A) (h3 : x ∈ B) : false := h1 h2 h3 -- the same is true of ⊆ example (A B : set U) (x : U) (h : A ⊆ B) (h1 : x ∈ A) : x ∈ B := h h1 example (A B C D : set U) (h1 : disj A B) (h2 : C ⊆ A) (h3 : D ⊆ B) : disj C D := sorry end

Prove the following facts about indexed unions and intersections, using the theorems

`Inter.intro`

,`Inter.elim`

,`Union.intro`

, and`Union.elim`

listed above.variables {I U : Type} variables (A : I → set U) (B : I → set U) (C : set U) example : (⋂ i, A i) ∩ (⋂ i, B i) ⊆ (⋂ i, A i ∩ B i) := sorry example : C ∩ (⋃i, A i) ⊆ ⋃i, C ∩ A i := sorry

Prove the following fact about power sets. You can use the theorems

`subset.trans`

and`subset.refl`

variable {U : Type} variables A B C : set U -- For this exercise these two facts are useful example (h1 : A ⊆ B) (h2 : B ⊆ C) : A ⊆ C := subset.trans h1 h2 example : A ⊆ A := subset.refl A example (h : A ⊆ B) : powerset A ⊆ powerset B := sorry example (h : powerset A ⊆ powerset B) : A ⊆ B := sorry