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Today, we're starting with functions! Can anyone tell me what a function really is?
Is it like a relation?
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.
What does A and B represent?
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.
So if I have a function f: {1, 2, 3} → {a, b, c}, are you saying each number must go to one letter?
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!
Let’s start with the first type: One-to-One or injective functions. Remember this as a fun fact—each input must map uniquely!
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Now that we understand what a function is, let’s talk about one-to-one functions. Can anyone explain what an injective function is?
Is it where different inputs give different outputs?
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!
So one-to-one means unique mapping!
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.
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Moving on, let’s discuss onto functions, also known as surjective functions. Can anyone share what they know about this type of function?
It’s when every output in the co-domain is achieved at least once?
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.
So, if we have f(1) = a, f(3) = b, then it's onto because every output is covered?
Spot on! Remember, for onto functions, think 'All Outputs Count!' Now let’s see some examples.
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Finally, we arrive at bijective functions. What do we think this means?
Is it both one-to-one and onto?
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.
So bijective means there's no unused output and no repeated input?
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!
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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.
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).
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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.
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.
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.
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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.
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.
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.
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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.
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.
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.
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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.
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.
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).
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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.
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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.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
When inputs are unique, outputs stay bright, that's an injective function, shining so right!
Imagine a party where each guest must choose a unique drink, ensuring no duplicates—this is like an injective function!
For 'bijective,' remember: 'Both In One, Just Execute!'
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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.