Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Listen to a student-teacher conversation explaining the topic in a relatable way.
Today we're going to discuss what a relation is. Can anyone tell me how you would define a relation in mathematics?
Isn't it about how two sets are connected?
Exactly! A relation is indeed a connection between two sets. To be more specific, a relation is a subset of the Cartesian product of those sets. Can anyone give me an example of what that looks like?
If we have countries and their capitals, like India and New Delhi?
Perfect! The pair (India, New Delhi) illustrates a relation where New Delhi is related to India. Remember, we denote this as 'aRb', where 'a' is from the first set and 'b' is from the second. It's a simple but powerful concept!
So, if we have another set of cities, we could relate those to countries too?
Absolutely! That’s the beauty of relations — they can show how elements from one set relate to elements of another, or the same set.
Let's summarize: a relation can be thought of as a bridge connecting elements from two sets. This will set the stage for all of our upcoming discussions.
Next, let's talk about the Cartesian product. Can anyone tell me what that is?
Isn't that when you pair every element from one set with every element from another set?
Exactly! The Cartesian product of two sets A and B, denoted as AxB, contains all possible ordered pairs (a,b). If set A has m elements and set B has n elements, how many pairs can we create?
m times n, right?
Correct! And any relation is simply a subset of this Cartesian product. What can be the implications of this structure for the number of relations we can create?
There can be 2^(mn) different relations because we're looking at the number of different subsets!
That’s right! So, remember, the number of ways to form relations is immense, depending on our underlying sets.
Now, let’s focus on binary relations specifically. Who can explain what a binary relation is?
It’s a relation that involves two sets, right?
Exactly! A binary relation from A to B is a specific subset of AxB. And why is the direction important?
Because it matters which set comes first; a relation from A to B is different from one from B to A.
That’s right! And we use notation aRb to show that 'a' is related to 'b'. Can anyone give me an example of a binary relation in our earlier country-city example?
Like (India, New Delhi) but not (New Delhi, India) because that's not valid!
Exactly! Remember, the order in relations is significant. Great job!
Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.
Relations are subsets of Cartesian products of two sets, dictating how elements from one set are related to elements of another. This section covers the definition of binary relations and how to represent them, emphasizing their mathematical interpretations.
In this section, we delve into the concept of relations within the framework of discrete mathematics. A relation is defined mathematically as a subset of the Cartesian product of two sets. As an illustrative example, consider a table where countries are paired with their capitals. The elements of these two individual sets — countries and cities — can be linked through a relation. For instance, the relation might contain pairs like (India, New Delhi) or (Afghanistan, Kabul). This is a binary relation because it deals with two sets, A (countries) and B (cities).
We explore the significance of the Cartesian product, which is crucial to understanding how elements from two sets interact. The section explains how relations can also extend to more than two sets, resulting in n-ary relations. Exercises and examples will further clarify these concepts, which are pivotal for grasping more complex structures in mathematics, especially in fields like database theory and graph theory.
Dive deep into the subject with an immersive audiobook experience.
Signup and Enroll to the course for listening the Audio Book
So, what is a relation? So, let me begin with this example, you consider this table and people who are familiar with databases, they very well know what is a table. Table basically consist of several columns and each column have some entries. So, I call this table T which has two columns, column number 1 and column number 2. In column number 1, you have some countries and in column number 2, you have some cities listed.
Now if your general knowledge is good then it turns out that the elements you can spot here that elements of the first column and the second column they are related by some relationship. And the relationship here is that, in the first column I have listed some of the countries and in the second column I have listed the capital of the corresponding countries.
A relation is a way to connect two sets of items. In this case, we have a table with two columns: one for countries and another for their corresponding capital cities. Each row in the table demonstrates a relationship between an entry in the first column and the second column, particularly showing which city is the capital of which country. Thus, we can think of a relation as a meaningful connection that helps us understand how elements from two different sets correlate with each other.
Think about a school roster where one column has the names of students and another has their respective grades. Each student's name is related to their grade, just like the countries are related to their capitals. This helps us understand performance at a glance, much like the country-capital relationship helps us identify governance structures.
Signup and Enroll to the course for listening the Audio Book
Now how do we mathematically interpret this table? Is there any mathematical interpretation or mathematical abstraction by which you can define this table? Well the way I can mathematically interpret this table T is as follows. I can imagine that I have a set A which is defined to be the set of all countries in the world. Well I do not know right now how many exact numbers of countries in the world definitely it is more than 200. So, A has more than 200 elements. Whereas B is another set, which is defined to be the set of all cities in the world.
In mathematics, we can define the relationship shown in the table more formally using sets. Let’s imagine two sets: set A includes all the countries and set B includes all the cities. By creating a relationship between these sets, we can form pairs that link countries to their respective capitals. This allows us to take a much larger structure (which could contain many different relationships) and focus on a specific subset where each country is paired with its capital city.
Imagine you have two boxes filled with different toys (set A being action figures and set B being playsets). By relating some action figures to certain playsets, you're forming specific connections (relations) just like we relate countries to their capitals. Instead of all toys, we can focus only on the specific ones that match perfectly.
Signup and Enroll to the course for listening the Audio Book
Now if I take the Cartesian product of A and B, what will I obtain? The Cartesian product of A and B will be a set of the form (a, b), where a will be some country. Namely, it will be belonging to A and b will be some city. As of now when I take A x B, there is no relationship between the elements a,b, I am just picking some country and some city, country, city. I have listed down all possible pairs of the form country, city and this will be an enormously large set.
The Cartesian product of two sets, A (countries) and B (cities), generates all possible paired combinations of the elements from both sets. This means from our earlier example, it will result in every possible pairing of country with city, regardless of whether the city is the capital of the country or not. From this large set, we identify and extract a smaller, specific subset where each country is paired exclusively with its correct capital, which is our relation.
If you think of putting together a puzzle of a world map (countries), and a separate box of city names (cities), every possible combination of the countries and cities is like generating the vast Cartesian product. However, only the cities correctly labeled as capitals would fit perfectly with the countries, just like finding the right pieces of a puzzle.
Signup and Enroll to the course for listening the Audio Book
So, that is a loose definition of a relation. A relation here is basically a subset of A x B, if I am considering two sets A and B and of course whatever I have discussed here can be extended where I have multiple sets. What do I mean by that? In this example I had only two columns...this will be considered as a subset of the Cartesian product of all the big sets A, B, C, D from which the elements in your column C1, C2, C3, C4 are occurring here.
In a more formal mathematical context, a relation is defined as a subset of the Cartesian product of two sets A and B. This means that not all combinations from A and B will qualify as a relation, but only those combinations that align with a specific, meaningful context (like country-capital pairs). Furthermore, this concept can be extended to multiple sets, where relations can account for additional columns (or attributes), creating more complex relationships across multiple datasets.
Think of a dating app where profiles (set A with names) are related to potential matches (set B with their interests). The actual matches are really a subset of all possible combinations of profiles and interests, much like how a specific relation emerges from all combinations formed in our country-capital example.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Relation: A connection between elements of two sets, defined as a subset of their Cartesian product.
Cartesian Product: The set of all ordered pairs derived from two sets, denoted as AxB.
Binary Relation: A relation that involves exactly two sets, with significant order.
See how the concepts apply in real-world scenarios to understand their practical implications.
The relation represented by the pairs (India, New Delhi) and (USA, Washington D.C.)
The Cartesian product of set A = {1, 2} and set B = {x, y} is {(1,x), (1,y), (2,x), (2,y)}.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When sets collide, what do you find? A relation that's neat, perfectly aligned!
A traveler connects with cities they visit. Each city has a home country where it belongs, illustrating the relation between them.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: Relation
Definition:
A subset of the Cartesian product of two sets, describing how elements from one set are connected to elements of another.
Term: Cartesian Product
Definition:
The set of all ordered pairs from two sets A and B, written as AxB.
Term: Binary Relation
Definition:
A relation that involves exactly two sets, A and B.
Term: Subset
Definition:
A set that contains some or all elements of another set.