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Today, we'll explore functions, particularly injective functions. First, can anyone tell me what a function is?
I think a function relates two sets, right? Like you have a set A and a set B?
Exactly, great job! A function f from set A to set B assigns each element in A exactly one element in B. Any relation that satisfies this uniqueness is considered a function.
But what if two different elements in A map to the same element in B?
Good question! If they do, we might be looking at a different type of relation, not a function. This brings us to injective functions, which we will discuss next.
Now, let's talk about injective functions. A function f: A → B is injective if distinct elements in A have distinct images in B. Can anyone state what that means?
It means if f(a1) = f(a2), then a1 must be equal to a2?
Exactly! This property helps prevent any overlap in mappings. If we find any two elements that map to the same image, then the function is not injective.
So, does that mean we can only show this using one example?
Not quite! While examples help, we also use universal quantification to support our definition. If there exists even one pair of elements that violates injectiveness, the function cannot be considered injective.
Let's explore some examples. If we take the function f(x) = x² over the set of integers, what do you think? Is it injective?
I think it's not because both 1 and -1 map to 1.
Well done! But if we restrict it to positive integers, what happens?
Then it becomes injective because every positive integer has a unique square!
Correct! This highlights the importance of the domain in determining whether a function is injective.
Injective functions are significant because they establish a one-to-one relationship essential for many mathematical concepts. Why do you think that might be important in higher-level math?
It seems like it would help in areas like calculus, where we study inverses.
Absolutely! If you want to find an inverse function, the original function must be bijective, which includes being injective.
So, if we're looking at whether a function is invertible, we should check if it's injective first?
Yes, it's a crucial first step! Understanding injective functions lays the groundwork for understanding bijective functions and their inverses.
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In this section, injective functions are introduced as a special type of function where distinct elements in the domain have distinct images in the co-domain. The section discusses formal definitions, conditions for a function to be considered injective, and the importance of domain restrictions in defining such functions.
An injective function, also known as a one-to-one function, is characterized by the property that distinct elements in the domain map to distinct elements in the co-domain. In mathematical notation, a function f: A → B is injective if for every pair of elements a and b in A, if f(a) = f(b) implies a = b, or equivalently, if a ≠ b then f(a) ≠ f(b). This ensures that each element in the domain corresponds to a unique element in the co-domain.
Injective functions play an essential role in mathematics, especially in areas concerning unique mappings, such as set theory and analysis. Recognizing injective functions can be critical for understanding more complex constructs such as bijective functions and the existence of inverses.
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So, now we will be interested to study some important class of functions. So, the first important class of functions is the one to one or injective functions. So, imagine you are given a function f from the set A to the set B. It will be called as an injective function, provided distinct elements from the set A have distinct images.
An injective function, also known as a one-to-one function, means that for every input from set A, there is a unique output in set B. If two different inputs from set A produce the same output in set B, the function is not injective. This ensures that no two different elements in the domain (set A) map to the same element in the range (set B).
Think of an injective function like assigning each student in a class a unique student ID. If two students were to share the same ID, it would create confusion. Instead, every student must have their own unique ID number, reflecting the one-to-one relationship.
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So, to put it formally we want ∀a, b ∈ A, f(a) = f(b) => a = b should hold for an injective function.
This statement uses universal quantification, meaning it applies to every possible pair of elements a and b in set A. If f(a) is equal to f(b), it must mean that a is equal to b. Alternatively, if two elements are distinct (a ≠ b), then their images must also be distinct (f(a) ≠ f(b)). If either condition fails, the function is not injective.
Imagine a library where every book has a unique barcode. If two books have the same barcode (f(a) = f(b)), it must imply they are actually the same book (a = b). If two different books were to share a barcode, it would create a confusing situation for library users.
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If I consider the function f(x) defined to be f(x) = x^2 over the set Z (the set of all integers), this is not an injective function because both +x and -x get mapped to x^2.
In this example, when we map integers to their squares, both +2 and -2 will map to +4. Consequently, different inputs result in the same output, violating the injective property. However, if we restrict the domain to positive integers (Z+), then the function becomes injective since each positive integer has a unique square.
Think of people sending messages through a website. If both Alice and Bob send a message saying 'Hello', the website logs them as originating from the same message. If the system allows multiple senders to have the same 'Hello' message, we lose track of who sent which message. Thus, we must ensure each unique sender has a uniquely identifiable message.
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You can see the importance of domain. If you change the domain, the interpretation or the meaning or the property of the function changes immediately.
The property of being injective can depend heavily on the domain selected for the function. By restricting the domain, we can sometimes ensure that the function becomes injective. Thus, careful selection of the domain is crucial in determining the behavior of the function.
Consider a company that offers discounts based on customer categories: students, seniors, and general public. If the company offers a discount to students and does not segment these categories effectively, the unique identifier for discounts can become invalid, as both a student and a senior may receive the same discount if not properly segmented.
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Key Concepts
Injectiveness: The property of a function where distinct inputs map to distinct outputs.
Pre-image: The input in the domain that gives a specific output in the co-domain of a function.
Co-domain and Domain: The sets from which inputs are taken (domain) and to which outputs map (co-domain).
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Example 1: f(x) = 2x is an injective function over the reals as distinct inputs yield distinct outputs.
Example 2: The function g(x) = x² is not injective when considering negative and positive inputs.
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When inputs are many, each must be true, for an injective function, one to one is the view.
Imagine a party where each guest is given a unique name tag representing a number; if two guests share the same name tag, it creates confusion—just like non-injective functions!
D.I.F.F. - Distinct Inputs, Different Outputs to remember apply injectiveness.
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Review the Definitions for terms.
Term: Injective Function
Definition:
A function f: A → B is injective if distinct elements in A have distinct images in B.
Term: Codomain
Definition:
The set B which contains all possible outputs of the function.
Term: Domain
Definition:
The set A, which consists of all inputs of a function.
Term: Preimage
Definition:
An element a from set A that maps to an element in B through the function f.