Table of contents
1.
Introduction
2.
Representation Of A Function
3.
Types Of Functions
4.
FAQs:
5.
Key Takeaways
Last Updated: Mar 27, 2024

Functions and Its Types

Author Akash Nagpal
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Introduction

A function is a form of relation in which every domain element is linked with only one range element. As shown in the figure, the pairing of elements is called mapping. It's similar to a flow chart for a function, where the input and output values are shown. 

 

 

Domain and Co-Domain Of A Function: 

For example, we have a function 'f' from A to B. Therefore, set 'A' will be called the Domain of function 'f'.

Similarly, for a function 'f' from A to B, the set 'B' will be called the Co-Domain of function 'f'.

Range Of A Function: Range is nothing but a subset of a function's Co-domain and is donated as f(domain) for a function 'f'.

 

Representation Of A Function

Circles represent the sets of functions. As shown in the figure, The function f: P → Q is represented by a series of arrows connecting points representing elements of P and Q,, respectively.

 

For Example: 
Let  R = {m, n, o}  and S = {r, s, t}   and f: R → S such that  
f= {(m, r), (n, t), (o, r)} 
The function f can be represented diagrammatically as follows:

 

Types Of Functions

There are 8 types of Functions In Engineering Mathematics. These are as follows:

  • Injective (One-to-One) Functions: 
    When one element of Domain Set is associated with one element of Co-Domain Set. It is called an Injective Function.

 

  • Surjective (Onto) Functions: 

Every element of the Co-Domain Set has one pre-image in this function.

For Example: Consider, A = {A,B,C,D}, B = {12,24,50} and f = {(A,24), (B,12), (C,50), (D,50)}.

It is a Surjective Function, as every element of B is the image of some A.


 

 

  • Bijective (One-to-One Onto) Functions: 

 A Bijective (One-to-One Onto) Function is a function that is both injective (one to - one) and surjective (onto).

Here, from the figure below, it is pretty clear that f is a one-to-one function, and also it is onto. So it is a bijective function.

 

 

 

  • Into Functions: 
    A function that requires a co-domain Y element and does not have a pre-image in domain X.
    For example: Suppose, A = {A,B,C}  B = {12,24,50,100}   and f: A → B such that  f = {(A, 12), (B, 24), (C,50)}  
    In the function f, the range i.e., {12,24,50} ≠ co-domain of Y i.e., {12,24,50,100}  
    So, it is an into function
     

 

 

  • One-One Into Functions: 
    When different elements of X have different unique images of Y, the function is called one-one into function.
    For Example: Considering, A = {A,B,C}  B = {12, 24, 50, 100} and f: A → B such that f = {(A, 12), (B, 50), (C, 100)}  
    The function f is a one-one into function

 

  • Many-One Functions: 
    If there are two or more separate elements in X that have the same image in Y, the function f is said to be a many-one function.
    For Example: onsider A = {1020304050}  B = {A, B, C} and f: A → B such that  f = {(10, A), (20, A), (30, A), (40, B), (50, C)}  
    The function f is a many-one function


 

 

  • Many-One Into Functions: 
    For a function f: X → Y. if and only if f is both many one and into the function it is called the many-one Into function.
    For Example: A = {10, 20, 30} B = {A , B} and f: A →B such that  f = {(10, A), (20, A), (30, A)}


 

  • Many-One Onto Functions: 
    For a function f: X → Y. if and only if ‘f’ is is both many-one and onto the function is called the Many-One Onto Function.
    In the example figure given below, The function f is a many-one (as the two elements have the same image in Y) and is onto (as every element of Y is the image of some element X). So, it is many-one onto function.


 

FAQs:

  1. What do you mean by Invertible Functions?
    Invertible functions are also known as Inverse Functions. A function f: A → B is inverse if and only if it is a bijective function.
  2. How to denote functions as a set?
    Considering X and Y as two non-empty sets, then a function ‘f’ from X to Y is a subset of X x Y, with two important constraints:
  • ∀ a ∈ X, (a, b) ∈ f for some b ∈ Y
  • If (a, b) ∈ f and (a, c) ∈ f then b = c.

Key Takeaways

In this article, we have extensively discussed the ‘Functions and it’s types in Engineering Mathematics. Check out the next topic Identity Functions. 

We hope that this blog has helped you enhance your knowledge regarding Function and it’s types in Engineering Mathematics and if you would like to learn more, check out our articles on Coding Ninjas and visit our Library for more. 

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