Mathematical Proof/Relations

Introduction edit

Intuitively, relation associates pairs of objects based on some rules and properties. That is, relation suggests some kinds of relationship or connection between two objects. Take marriage as an example. In the marriage registry, there is a record in which the names of husbands are associated with the names of their corresponding wives, to keep track of the marriages. The entries in the record can be interpreted as ordered pairs  , where   is the husband, while   is the wife.

Expressing it mathematically, let   and   be the set of all men and women respectively. Then, the Cartesian product   consists of all pairs of people (first and second coordinate is a man and woman respectively). After that, we know that the record in the marriage registry,  , is a subset of  . If a man and a woman form an ordered pair in  , say  , then it means they are married. Then, it is natural to say that   is related to  . In other words, if we find that  , then it means that they are related by this relation  . Also, knowing what   exactly is (we have the record from the marriage registry) is the same as knowing all the husband and wife relationship.

Thus, it is natural to define the set   as a relation. Let us formally define relation below.

Terminologies edit

Definition. (Relation) A relation   from a set   to a set   is a subset of  , i.e.,  . In particular, when  , we say that   is a relation on  , and we have  . If  , then we say that   is related to   by  , and write  . On the other hand, if  , then we say that   is not related to   by  , and write  .

Example. Let  ,  , and  . Since the set   is a subset of  ,   defines a relation from set   to set  . Also, in this relation,   is related to 1,   is related to 1 and 2,   is related to 3. Thus, we have   and  . But, we have, say   or  , since  .

 

Exercise.

(a) Suggest a set   that is not a relation from set   to set  .

(b) Suggest a set   that is a relation from set   to set  .


Solution

(a)   ( , so   is not a subset of  ).

(b)  .


 

Exercise. Let   and   be two nonempty sets. Are   and   relations from   to  ? Describe the relationships meant by these two sets.

Solution

Both   and   are relations from   to   since both are subsets of  .

For  , it means nothing is related, i.e., there is no relationship between elements in   and elements in  .

For  , it means everything is related, i.e., every element in   is related to every element in  .

Example. Let   be a set of all human beings. Then,  . Then,   is a subset of  , and defines the relation for son and (father or mother).

Example. The concept of "less than" defines a relation on  . To be more precise, the relation corresponding to this concept is  . For instance,   but  .

Example. The congruence of integers defines a relation on  . To be more precise, the corresponding relation is   (  with  ). For example, when  , then   but  .

 

Exercise. Consider the relation on  , corresponding the concept of "equal to":  .

(a) Sketch   in the Cartesian coordinate system.

(b) Consider also the relations   on   corresponding the concept of "less than" and "greater than" respectively. Sketch also   and   in the graph in (a).

Solution

(a) and (b):

        y
        |    y=x     
########|#####/%%%
########|####/%%%% 
########|###/%%%%%
########|##/%%%%%%
########|#/%%%%%%%
########|/%%%%%%%%
--------*--------- x
#######/|%%%%%%%%% 
######/%|%%%%%%%%%
#####/%%|%%%%%%%%%
####/%%%|%%%%%%%%%
###/%%%%|%%%%%%%%%

*----*
|####|
|####| : y>x (relation T)
*----*

*----*
|%%%%|
|%%%%| : y<x (relation S)
*----*

Remark.

  • The sets   give a partition of  . As we will see, there is a close relationship between the concept of relation and the concept of partition.


Example. Let  . Define a relation on  ,  . Express   by listing method.

Solution. First, we have  . So,

 
 

Exercise. Let   and  . Consider a relation   on   defined by

 
Express   by listing method.
Solution

First,  . So,

 

Definition. (Domain and range) Let   be a relation from a set   to a set  . The domain of  , denoted by   is the subset of   defined by

 
The range of  , denoted by  , is the subset of   defined by
 

Remark.

  • You may have learnt about the domain and range for functions. Using the same terminologies for both relations and functions is indeed not a coincidence. This is because a function is actually a relation. That is, a function is indeed just a special case of relation.

Example. Let  ,  , and  . Then,   and  .

Example. Consider the relation   on  :  . Then,   is the set of all even numbers, and   is the set of all even numbers also.

 

Exercise. Consider the relation   on  :  . Find   and  .

Solution

  and  .

Definition. (Inverse relation) Let   be a relation from a set   to a set  . The inverse relation   from   to   is

 

Remark.

  • Again, you may have learnt a similar concept (and also a similar notation) for functions: inverse functions. Indeed, inverse functions can be defined as the inverse relation of a function, provided that the inverse relation is also a function.
  • We can see that the inverse relation is obtained by "reversing" the order of elements in every ordered pair in the original relation.
  • When   is empty, then the inverse relation   is also empty since there is no ordered pair in the empty set.

Example. Let  ,  , and  . Then, the inverse relation   is  .

 

Exercise. Construct an example of sets   and a nonempty relation   from set   to set   such that  .

Solution

Take  , and  . Then,  .

Reflexive, symmetric and transitive relations edit

After introducing the terminologies related to relations, we will study three properties for a relation defined on a set.

Definition. (Reflexive, symmetric and transitive) Let   be a set and   be a relation defined on  . Then,

  •   is reflexive if   for every  .
  •   is symmetric if for every  ,  .
  •   is transitive if for every  ,  .
 

Exercise. Let   be a set and   be a relation defined on  . Write down the meaning of (i)   is not reflexive; (ii)   is not symmetric; (iii)   is not transitive.

Solution

(i) There exists   such that  .

(ii) There exist   such that   but  .

(iii) There exist   such that   and  , but  .

Example. Let  , and let a relation defined on   be

 
Then,   is reflexive since  . But   is not symmetric since   but  .
 

Exercise. Is   transitive? Explain why.

Solution

  is transitive since

  •  ;
  •  .

(There are no more ordered pairs   and   in the relation  , satisfying   and  .)


Example. The congruence of integers

 
defines a relation on   (  with  ). Prove that   is a reflexive, symmetric and transitive.

Proof.

Reflexive: For every  ,  . So,   for every  .

Symmetric: For every  ,   where   is some integer.

Transitive: For every  ,

 

 


 

Exercise. Which of the properties, reflexive, symmetric and transitive, does each of the following relations possesses? Prove your answer.

(a)  .

(b)  .

(c)  .

Solution

(a)   is reflexive, not symmetric, and transitive.

Proof.

Reflexive: For every  ,  . So,  .

Not symmetric: Take   and  . Then,  , so  . However,  . So,  .

Transitive: For every  ,   (this actually follows from the property of " ").

 

(b)   is not reflexive, not symmetric, and transitive.

Proof.

Reflexive: Take  . Then, 1 is not less than 1 itself. Hence,  .

Not symmetric: Take   and  . Then,  , so  . However,  . So,  .

Transitive: For every  ,   (this actually follows from the property of " ").

 

(c)   is reflexive, symmetric and not transitive.

Proof.

Reflexive: For every  ,

Case 1:  . Then,  . So,  .

Case 2:  . Then,  . So,  .

Symmetric: For every  ,  .

Not transitive: Take   and  . Then,   and  . So,   and  . However, since  ,  .

 


 

Exercise. Let   be a relation on a set  . Prove or disprove that

(a) if   is reflexive, then   is reflexive;

(b) if   is symmetric, then   is symmetric;

(c) if   is transitive, then   is transitive.

Equivalence relations and equivalence classes edit

After studying the three properties that a relation on a set can possess, let us focus on those relations that possess all three properties.

Definition. (Equivalence relation) Let   be a set. A relation   defined on   is an equivalence relation if it is reflexive, symmetric and transitive.

Remark.

  • To show that a relation is not an equivalence relation (i.e., to disprove that the relation is an equivalence relation), it suffices to show any one of the following: (i) it is not reflexive; (ii) it is not symmetric; (iii) it is not transitive, by considering the negation of the above definition.

Example. Let  . Also let a relation defined on   be

 
Prove or disprove that   is an equivalence relation.

Proof.

Reflexive: Since  ,   is reflexive.

Symmetric: Since  ,  ,  , and  ,   is symmetric.

Transitive: Since for every  ,  ,   is transitive.

 

 

Exercise. Give another equivalence relation that is defined on  .

Solution

 . It can be shown to be reflexive, symmetric and transitive.


Example. Since the congruence of integers defines a reflexive, symmetric and transitive relation, it defines an equivalence relation on  .

Suppose   is an equivalence relation on a set  . Intuitively, for elements that are related by  , they are quite "closely related". Thus, when we consider the set consisting elements that are related to a given element of set A, the elements inside the set are "closely related", so the set, in some sense, forms a "group" of elements that are "relatives". It then appears that we can classify the elements of set   into different such "groups", according to an equivalence relation. As we will see, this is roughly the case. Hence, such "group" is quite important. Now, let us formally define what the "group" is:

Definition. (Equivalence class)

 
A graph that illustrates equivalence classes. The whole circle in the set on which the relation is defined, and when there is a line connecting two dots, it means the two dots (representing elements in the set) are related by the equivalence relation.

Let   be an equivalence relation defined on a set  . For every  , the set

 
consisting of all elements in   that are related to  , is called an (equivalence) class of   by  .

Example. Let  , and let a relation defined on   be

 
This relation   can be shown to be an equivalence relation. The equivalence classes are given by
 
Since  , there are only two distinct equivalence classes. Graphically, the situation looks like:
*----------**
|  .  .   / |
| 2   3  /  |
|  .    /.  |
| 1    /  4 |
*-----*-----*
  ^        ^
  |        |
[1]=[2]    [4]
=[3]
 

Exercise. Construct an equivalence relation   on   such that the equivalence classes are given by

 
Solution

 . Graphically, the situation looks like:

*---*-------*
|  .| .     |
| 2 | 3     |
|  .\    .  |
| 1  \    4 |
*-----*-----*
  ^        ^
  |        |
[1]=[2]  [3]=[4]


Example. (Integers modulo  ) Recall that the congruence of integers defines an equivalence relation   on  . Using this equivalence relation, we can define the equivalence class   for every  , as follows:

  •  
  •  
  • ...
  •  
  •  
  •  

We can observe that starting from  , the classes are not distinct from the previous classes. Indeed, if we consider the classes "backward":

  •  
  •  
  • ...

They also do not give new classes.

Hence, we conclude that there are only   distinct equivalence classes, namely  . Usually, the set of these equivalence classes,  , is denoted by  , and is called integers modulo  . Notice that   is a finite set itself, but each of its elements is an infinite set.

Remark.

  • We can illustrate the equivalence classes as follows (each column is an equivalence class, and the whole table is  ):
*----*----*---...---*-----*
| .  |    |         |  .  |
| .  |    |         |  .  |
| .  |    |         |  .  |
|-n  |-n+1|         |-2n-1|
| 0  | 1  |  ....   | n-1 |
| n  |n+1 |         |2n-1 |
| .  |    |         |  .  |
| .  |    |         |  .  |
| .  |    |         |  .  |
*----*----*---...---*-----*
  • When we consider integers modulo   and integers modulo   ( ) together, there may be some ambiguities for the elements. For example,   and  . However, for instance, the " " in   and the " " in   are different. One of them contains all even numbers, another contains all multiples of 3.
  • To avoid such ambiguities, we may add a subscript to the classes. For instance, we may write   and  .
 

Exercise. A relation   on   is defined by

 
(a) Prove that   is an equivalence relation.

(b) Express each of the equivalence classes by     in terms of   (Hint: use the symmetric property of  ).

Solution
(a)

Proof.

Reflexive: For every  , since  ,  .

Symmetric: For every  , since  .

Transitive: For every  ,

 

 

(b)

 
(By the symmetric property of  ,  . Also,  . So,  .)
 
 
 

Properties of equivalence classes edit

In this section, we will discuss some properties of equivalence classes. In particular, we will address these two questions:

  1. When are two equivalence classes equal?
  2. Can two different equivalence classes contain a common element?

The answer to question 1 is given by the following theorem.

Theorem. Let   be an equivalence relation defined on a set  . For every  ,

 

Proof. " " direction: Assume  . Since   is an equivalence relation, and in particular, is reflexive, we have  . Thus, we have by definition  . Then, since   by assumption, we have  .

" " direction: Assume  . First, for every  ,

 
So,  .

On the other hand, first, since   by assumption, we have   by the symmetry of  . Now, For every  ,

 
So,  .

Hence,  .

 

Remark.

  • From this theorem, we know that " " is the necessary and sufficient condition for " ". Also, we have   if and only if  .

Now, let us consider the question 2. The answer to question 2 is, indeed, "No". The following corollary justifies this answer:

Corollary. Let   be an equivalence relation defined on a nonempty set  . For every  ,

 

Proof. " " direction:

 
(  and   are nonempty since   is reflexive. So they must contain, at least,   and   respectively.)

" " direction: We use proof by contrapositive.

 

 

Remark.

  • From this result, we know that two equivalence classes are either equal or disjoint (since they are either equal or not equal). Hence, it is impossible for two different equivalence classes to contain a common element.

Now we have reached a key point in studying equivalence relations (and it is probably the major reason for studying equivalence relations at all): using equivalence relation on a set to construct a partition of that set, and vice versa. Before discussing it, let us define partition of a set:

Definition. (Partition) A partition of a nonempty set   is a set of nonempty subset(s) of   with the property that every element of   belongs to exactly one of the subset(s). In other words,   is a collection of pairwise disjoint and nonempty subset(s) of   whose union is  .

Example. Let  . Then, a partition of   is  . Another one is  . However,   is not a partition of   since   and   are not disjoint (or the element "2" belongs to two sets). Also,   is not a partition of   since the union of   and   is not the entire set   (or the element "2" does not belong to any of the sets inside the partition).

 

Exercise. Is   a partition of  ?

Solution

Yes, since every element of   belongs to exactly one of the set inside the partition, namely the set  .


Example. Let  , and let a relation defined on   be

 
Recall that the two distinct equivalence classes are given by
 
We can see that every element of   belongs to exactly one of these equivalence classes. Hence, the set   gives a partition of  .

Also, we can define another equivalence relation   on   such that the two distinct equivalence classes are given by

 
We can also see that every element of   belongs to exactly one of these equivalence classes. hence, the set  .

Example. Recall that the congruence of integers defines an equivalence relation   on  . Also, there are   distinct equivalence classes:  . By Euclid's division lemma, every integer belongs to exactly one of these   equivalence classes. Thus, the integers modulo  

 
gives a partition on  .

We can observe from the previous examples that equivalence relation of a set can be used to give a partition of that set. The following theorem suggests that, in general, an equivalence relation on a set   can be used to give a partition of that set.

Theorem. Let   be an equivalence relation defined on a nonempty set  . Then the set of all distinct equivalence classes by   is a partition of  .

Proof. It suffices to show that every element of   belongs to exactly one of the distinct equivalence classes.

For every  , since   is reflexive, we have  . From this, we can ensure that every element of   belongs to at least one of the distinct classes. It now remains to show that every element of   also belongs to at most one of the distinct classes.

Assume that   also belongs to the class  . Then, we have  . Since   is an equivalence relation, it means   by a previous theorem. Thus, any two equivalence classes to which   belongs are equal. This means every element of   cannot belong to more than one of the distinct classes.

Hence, every   in   belongs to exactly one of the distinct classes, and thus the set of all distinct equivalence classes by   gives a partition of  .

 

The following theorem suggests the converse of the above theorem is also true. To be more precise, we can use a partition of a set to construct an equivalence relation on that set. Before introducing the theorem, let us make some intuitive guesses on how to construct the equivalence relation in this way. First, from the previous theorem, roughly speaking, using an equivalence relation on a set, we can create several "groups" of elements in different classes, in which the elements are "relatives".

Now, given a partition of a set, it means we have several "groups" of elements. Such "grouping" intuitively indicates the elements inside the group are "relatives" in some sense. So, intuitively, a relation that relates the "relatives" seems to make the relation quite "close", and hence an equivalence relation.

The following theorem formalizes this intuition:

Theorem. Let   be a partition of a nonempty set  . Define a relation   on   by

 
Then, the relation   is an equivalence relation on the set  .

Proof. It suffices to prove that   defined in this way is reflexive, symmetric, and transitive.

Reflexive: By the definition of partition, for every  ,   belongs to exactly one of  , so there exists   such that  . Hence,  .

Symmetric: For every  ,

 
Transitive: For every  , assume   and  . Then, there exist   such that   and  . But by the definition of partition,   belongs to exactly one of the set in the partition  . So, we have  . Hence, there exists a set   ( ) such that  , and thus  .

 

Example. Let   be a relation defined on   by

 

(a) Prove that   is an equivalence relation.

(b) Determine all distinct equivalence classes by   and hence give a partition on  .

Solution.

(a)

Proof. Reflexive: For every  ,  . So,  .

Symmetric: For every  ,  .

Transitive: For every  ,  .

 

(b) First, some equivalence classes are

 
So, all distinct equivalence classes are   ( , so   is not distinct from them, etc.). Hence, a partition on   is
 
(that is, every integer belongs to exactly one of  .)
 

Exercise. Let   be a relation defined on   by

 

(a) Prove that   is an equivalence relation.

(b) Determine all distinct equivalence classes by  , and hence give a partition on  .

Solution
(a)

Proof. Reflexive: For every  , since   is even,  .

Symmetric: For every  ,  .

Transitive: For every  ,

 

 

(b) First, some equivalence classes are

 
Since every integer belongs to exactly one of   and   (i.e., all other equivalence classes are not distinct from them), it follows that   and   are all distinct equivalence classes.

Remark.

  • Recall that the sum of two integers is even if and only if they have the same parity. So, this relation relates every pair of integers that have the same parity. So, intuitively, the relation   can partition the integers into two "pieces": set of all odd integers and set of all even integers.