Chapter 4: Problem 10
List all \(1-1\) and onto functions from (1,2,3) to itself.
Short Answer
Expert verified
There are 6 one-to-one and onto functions: (1,2,3), (1,3,2), (2,1,3), (2,3,1), (3,1,2), (3,2,1).
Step by step solution
01
Understanding One-to-One Functions
A function is one-to-one (injective) if each element in the domain maps to a unique element in the codomain. For the set \( \{1, 2, 3\} \), every element from the domain must map to a different element in the codomain.
02
Understanding Onto Functions
A function is onto (surjective) if every element in the codomain has at least one element from the domain mapping to it. Since our domain and codomain are the same, every element in \( \{1, 2, 3\} \) must map to every other element, fulfilling this condition naturally.
03
Listing Permutations
Since the domain and codomain are the same set \( \{1, 2, 3\} \), listing all bijections (one-to-one and onto functions) amounts to listing all permutations of the set. The set \( \{1, 2, 3\} \) can be permuted into 6 different sequences.
04
Enumerating the Permutations
The permutations of the set \( \{1, 2, 3\} \) are: 1. \((1, 2, 3)\) 2. \((1, 3, 2)\) 3. \((2, 1, 3)\) 4. \((2, 3, 1)\) 5. \((3, 1, 2)\) 6. \((3, 2, 1)\) These represent all possible one-to-one and onto functions from the set to itself.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Injective Functions
An injective function, also known as a one-to-one function, is a fascinating concept in mathematics where each element in the function's domain maps to a distinct and unique element in the codomain.
This means no two different input values will share the same output value.
Understanding injective functions becomes particularly interesting when we explore sets such as \( \{1, 2, 3\} \).
To determine if a function is injective, consider each element in the domain.
Each must correspond to a unique element in the codomain without any overlaps.
For instance, if you have a function \( f \) from the set \( \{1, 2, 3\} \) to itself, \( f \) is injective if it satisfies this unique touch condition for all elements.
Consider mapping like this:
This means no two different input values will share the same output value.
Understanding injective functions becomes particularly interesting when we explore sets such as \( \{1, 2, 3\} \).
To determine if a function is injective, consider each element in the domain.
Each must correspond to a unique element in the codomain without any overlaps.
For instance, if you have a function \( f \) from the set \( \{1, 2, 3\} \) to itself, \( f \) is injective if it satisfies this unique touch condition for all elements.
Consider mapping like this:
- 1 maps to 2
- 2 maps to 3
- 3 maps to 1
Surjective Functions
When a function is surjective, or onto, it tells an equally compelling story in mathematics. A surjective function ensures that every element in the codomain has at least one preimage in the domain.
This means the function covers every point in the codomain entirely and has impeccably filled the map from domain to codomain.
With sets like \( \{1, 2, 3\} \), understanding surjectivity is essential because we want each number in the range to be reachable by some input from our domain.
Suppose we take our function \( f \) such that it maps the elements as follows:
Surjective functions are crucial in ensuring comprehensive mappings, which are vital in various mathematical applications.
This means the function covers every point in the codomain entirely and has impeccably filled the map from domain to codomain.
With sets like \( \{1, 2, 3\} \), understanding surjectivity is essential because we want each number in the range to be reachable by some input from our domain.
Suppose we take our function \( f \) such that it maps the elements as follows:
- 1 maps to 1
- 2 maps to 2
- 3 maps to 3
Surjective functions are crucial in ensuring comprehensive mappings, which are vital in various mathematical applications.
Permutations
Permutations are all about rearranging elements. In a finite set like \( \{1, 2, 3\} \), permutations are particularly handy for counting the possible arrangements or sequences of the elements.
This concept is a cornerstone in understanding bijections—functions that are both injective and surjective.
Finding permutations means listing every possible way the set can be ordered.
For a set with three elements, such as \( \{1, 2, 3\} \), there are exactly 6 permutations:
Permutations and bijections provide significant insights into how items can be mapped or rearranged, forming the backbone for many mathematical theories and applications.
This concept is a cornerstone in understanding bijections—functions that are both injective and surjective.
Finding permutations means listing every possible way the set can be ordered.
For a set with three elements, such as \( \{1, 2, 3\} \), there are exactly 6 permutations:
- \((1, 2, 3)\)
- \((1, 3, 2)\)
- \((2, 1, 3)\)
- \((2, 3, 1)\)
- \((3, 1, 2)\)
- \((3, 2, 1)\)
Permutations and bijections provide significant insights into how items can be mapped or rearranged, forming the backbone for many mathematical theories and applications.