Types of Functions - 2.2 | Chapter 1 – Relations and Functions | ICSE Class 12 Mathematics
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Interactive Audio Lesson

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Introduction to Functions

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0:00
Teacher
Teacher

Today, we're starting with functions! Can anyone tell me what a function really is?

Student 1
Student 1

Is it like a relation?

Teacher
Teacher

Yes, exactly! A function is a special type of relation where each input from one set corresponds to exactly one output in another set. We can represent this using the notation f: A → B.

Student 2
Student 2

What does A and B represent?

Teacher
Teacher

Good question! A is called the domain, and B is the co-domain. The domain is where our inputs come from, and the co-domain is where our outputs go.

Student 3
Student 3

So if I have a function f: {1, 2, 3} → {a, b, c}, are you saying each number must go to one letter?

Teacher
Teacher

Absolutely! Each input can map to one output, like f(1) = a, f(2) = b, and f(3) = c. Keep this in mind as we dive deeper!

Teacher
Teacher

Let’s start with the first type: One-to-One or injective functions. Remember this as a fun fact—each input must map uniquely!

Injective Functions

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Teacher
Teacher

Now that we understand what a function is, let’s talk about one-to-one functions. Can anyone explain what an injective function is?

Student 4
Student 4

Is it where different inputs give different outputs?

Teacher
Teacher

Exactly! Different inputs in the domain should not map to the same output in the co-domain. For instance, if we have f: {1, 2, 3} → {a, b, c}, and let's say f(1) = a, f(2) = a, then it's not injective!

Student 1
Student 1

So one-to-one means unique mapping!

Teacher
Teacher

Great summary! When you think of one-to-one functions, remember the phrase 'Unique Inputs, Unique Outputs.' Now, let’s review some examples to clarify our understanding.

Onto Functions

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Teacher
Teacher

Moving on, let’s discuss onto functions, also known as surjective functions. Can anyone share what they know about this type of function?

Student 3
Student 3

It’s when every output in the co-domain is achieved at least once?

Teacher
Teacher

Exactly! Each element in the co-domain must have a corresponding element from the domain. For instance, if we have f: {1, 2, 3} → {a, b}, and if both f(1) and f(2) map to a but there's no mapping to b, it’s not onto.

Student 2
Student 2

So, if we have f(1) = a, f(3) = b, then it's onto because every output is covered?

Teacher
Teacher

Spot on! Remember, for onto functions, think 'All Outputs Count!' Now let’s see some examples.

Bijective Functions

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Teacher
Teacher

Finally, we arrive at bijective functions. What do we think this means?

Student 4
Student 4

Is it both one-to-one and onto?

Teacher
Teacher

Exactly! A bijection pairs every element uniquely from the domain to the co-domain and covers every output. We can say it’s a 'Perfect Match!' For example, if f: {1, 2, 3} → {a, b, c} and f(1) = a, f(2) = b, and f(3) = c, it’s bijective.

Student 1
Student 1

So bijective means there's no unused output and no repeated input?

Teacher
Teacher

Correct! Now, let's summarize the key points. Remember: One-to-One means unique mapping of inputs, Onto ensures all outputs are covered, and Bijective is the perfect match!

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section introduces the various types of functions, detailing definitions and examples of one-to-one, onto, and bijective functions.

Standard

In this section, students learn about different types of functions, including one-to-one, onto, and bijective functions, along with definitions and illustrative examples. The importance of domain, co-domain, and range is also discussed.

Detailed

Detailed Summary

In this section, we delve into the different types of functions, integral concepts that not only shape mathematical understanding but also extend to various applications in science and engineering. A function is defined as a specific type of relation that maps each element of a domain (set A) to exactly one element in a co-domain (set B).

  • One-to-One (Injective) Function: This type of function ensures that no two different elements in the domain map to the same element in the co-domain. For example, if a function maps 1 → a, 2 → b, and 3 → c, it is injective since all elements of A correspond uniquely to elements in B.
  • Onto (Surjective) Function: A function is onto if every element of the co-domain has at least one corresponding element from the domain. For instance, if 1 and 2 from the domain map to both a and b in the co-domain, it satisfies this condition.
  • One-to-One Correspondence (Bijective): This is the combination of a one-to-one and onto function, meaning there is a perfect pairing of elements from the domain and co-domain. Each unique element in the domain maps to a unique element in the co-domain, and vice versa.
    Additionally, we discuss the concepts of the domain, co-domain, and range to clarify their roles in function theory. Understanding these properties lays the groundwork for later topics including composition and the inverse of functions, both crucial for advanced mathematical studies.

Audio Book

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One-to-One Function (Injective Function)

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A function is one-to-one (injective) if different elements of the domain are mapped to different elements in the co-domain.
Example: If 𝑓 = {(1,𝑎),(2,𝑏),(3,𝑐)}, the function is injective because each element in 𝐴 maps to a unique element in 𝐵.

Detailed Explanation

A one-to-one function, also known as an injective function, ensures that no two different inputs from the domain produce the same output in the co-domain. This means that each element in the input set corresponds to a distinct element in the output set. This characteristic allows us to uniquely identify outputs based on their inputs. For instance, if you think of people and their unique phone numbers, where no two individuals can share the same phone number, this illustrates a one-to-one function.

Examples & Analogies

Imagine a classroom where each student has a unique locker. If Student A has Locker 1, and Student B has Locker 2, these locker numbers are unique to each student. This is like a one-to-one function: each student (input) has a distinct locker number (output), ensuring no lockers are shared.

Onto Function (Surjective Function)

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A function is onto (surjective) if every element of the co-domain is mapped to by at least one element from the domain.
Example: If 𝑓 = {(1,𝑎),(2,𝑏),(3,𝑏)}, the function is surjective because every element of 𝐵 has at least one corresponding element in 𝐴.

Detailed Explanation

An onto function, or surjective function, means that every possible output in the co-domain is associated with at least one input from the domain. This characteristic assures we can reach every potential output, as nothing in the co-domain is left out. If there’s even one element in the co-domain without a corresponding element from the domain, the function cannot be classified as onto.

Examples & Analogies

Think of a pizza restaurant with a limited selection of toppings. If every type of pizza on the menu (co-domain) has at least one customer (domain) who orders it, then we can say that the orders are an onto function. No pizza topping is left unchosen, just as every output matches an input.

One-to-One Correspondence (Bijective Function)

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A function is bijective if it is both one-to-one (injective) and onto (surjective).
Example: If 𝑓 = {(1,𝑎),(2,𝑏),(3,𝑐)}, the function is bijective because it is both injective and surjective.

Detailed Explanation

A bijective function is a perfect pairing: not only does each input connect with one distinct output (injective), but every output is connected to at least one input (surjective). This creates a one-to-one relationship, where no inputs or outputs are left without a match. Such functions are very useful as they allow us to easily reverse the function, creating an inverse.

Examples & Analogies

Think about a matching game where each player is given a unique card, and every card corresponds with a player. If each player holds one card and every card belongs to a player, this exemplifies a bijective function. Here, every player can be matched uniquely with their card, and vice versa, eliminating any possibilities of pairing without a match.

Domain, Co-domain, and Range

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• Domain: The set of all possible input values for a function.
• Co-domain: The set of possible output values for the function.
• Range: The set of actual output values of the function.
For example, in the function 𝑓:𝐴 → 𝐵, the domain is 𝐴, the co-domain is 𝐵, and the range is the set of values that 𝑓 maps to in 𝐵.

Detailed Explanation

In a function, different terminologies are used to describe various sets of values. The domain refers to all the potential input values you can use in the function. The co-domain is a broader category that includes all possible outputs, while the range is the actual set of outputs produced by the function based on the inputs from the domain. This differentiation helps in understanding how functions operate and connect between input and output.

Examples & Analogies

Consider a vending machine: the coins you put in represent the domain (input values), the selection of drinks it can provide represents the co-domain (all possible outputs), and the actual drink you receive when you press a button based on the coins you inserted is analogous to the range (the actual outputs that occur).

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

Key Concepts

  • Injective Function: Maps distinct elements of the domain to distinct elements of the co-domain.

  • Onto Function: Covers every element in the co-domain with at least one mapping from the domain.

  • Bijective Function: A perfect pairing between domain and co-domain elements.

  • Domain: The set of inputs for a function.

  • Co-domain: Potential outputs of a function.

  • Range: The actual outputs of a function.

Examples & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • Example of an injective function: f: {1, 2, 3} → {a, b, c} with f(1) = a, f(2) = b, f(3) = c.

  • Example of an onto function: f: {1, 2} → {a, b} with f(1) = a, f(2) = b.

  • Example of a bijective function: f: {1, 2, 3} → {a, b, c} with f(1) = a, f(2) = b, f(3) = c.

Memory Aids

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎵 Rhymes Time

  • When inputs are unique, outputs stay bright, that's an injective function, shining so right!

📖 Fascinating Stories

  • Imagine a party where each guest must choose a unique drink, ensuring no duplicates—this is like an injective function!

🧠 Other Memory Gems

  • For 'bijective,' remember: 'Both In One, Just Execute!'

🎯 Super Acronyms

SURJ for surjective

  • **S**urely **U**nique **R**each to **J**oin.

Flash Cards

Review key concepts with flashcards.

Glossary of Terms

Review the Definitions for terms.

  • Term: Injective Function

    Definition:

    A function where different elements in the domain map to different elements in the co-domain.

  • Term: Surjective Function

    Definition:

    A function where every element of the co-domain is mapped by at least one element from the domain.

  • Term: Bijective Function

    Definition:

    A function that is both injective and surjective, having a one-to-one correspondence between domain and co-domain.

  • Term: Domain

    Definition:

    The set of all possible input values for a function.

  • Term: Codomain

    Definition:

    The set of potential outputs of a function.

  • Term: Range

    Definition:

    The set of actual output values produced by a function.