Symmetric Groups: Understanding Permutations from First Principles
Symmetric Groups: Understanding Permutations from First Principles
30 min read
The symmetric group is one of the most fundamental objects in mathematics—it’s the group of all ways to rearrange a finite set. Despite its simple definition, symmetric groups appear everywhere: in solving polynomial equations, computing determinants, analyzing molecular symmetry, cryptography, and even understanding Rubik’s cubes. This post builds the theory from scratch, assuming only basic set theory.
Related Posts:
- Bijective Functions: The Perfect Correspondence - Permutations are bijective functions from a set to itself
- Matrix Determinants and Leibniz Theorem - The Leibniz formula sums over the symmetric group
Table of Contents
- What is a Group?
- What is a Permutation?
- The Symmetric Group $S_n$
- Cycle Notation
- Composition and Inverses
- Transpositions
- Sign of a Permutation
- Computing in Symmetric Groups
- Why Symmetric Groups Matter
- Interactive Examples
What is a Group?
Before we can understand symmetric groups, we need to know what a group is.
Definition: A group is a set $G$ equipped with a binary operation $\cdot: G \times G \to G$ satisfying:
1. Closure
For all $a, b \in G$: \(a \cdot b \in G\)
2. Associativity
For all $a, b, c \in G$: \((a \cdot b) \cdot c = a \cdot (b \cdot c)\)
3. Identity Element
There exists $e \in G$ such that for all $a \in G$: \(e \cdot a = a \cdot e = a\)
4. Inverse Element
For every $a \in G$, there exists $a^{-1} \in G$ such that: \(a \cdot a^{-1} = a^{-1} \cdot a = e\)
Intuition: A group is a mathematical structure where you can “combine” elements (closure), order doesn’t matter for grouping (associativity), there’s a “do nothing” element (identity), and every action can be “undone” (inverse).
Examples of Groups
Example 1: Integers under Addition ($\mathbb{Z}, +$)
- Closure: $3 + 5 = 8 \in \mathbb{Z}$
- Associativity: $(1 + 2) + 3 = 1 + (2 + 3) = 6$
- Identity: $0$ (since $n + 0 = n$)
- Inverse: The inverse of $n$ is $-n$ (since $n + (-n) = 0$)
Example 2: Non-Zero Reals under Multiplication ($\mathbb{R}^*, \times$)
- Closure: $2 \times 3 = 6 \in \mathbb{R}^*$
- Associativity: $(2 \times 3) \times 4 = 2 \times (3 \times 4) = 24$
- Identity: $1$ (since $x \times 1 = x$)
- Inverse: The inverse of $x$ is $\frac{1}{x}$ (since $x \times \frac{1}{x} = 1$)
Example 3: Rotations of a Square
- Elements: ${0°, 90°, 180°, 270°}$ rotations
- Operation: Composition of rotations
- Identity: $0°$ rotation (do nothing)
- Inverses: $90°$ and $270°$ are inverses; $180°$ is its own inverse
What is a Permutation?
Now we get to the heart of symmetric groups.
Definition: A permutation of a set $X$ is a bijective function $\sigma: X \to X$.
In other words, a permutation is a way of rearranging the elements of $X$ such that:
- Every element is moved to exactly one position (function)
- Every position receives exactly one element (surjective)
- No two elements are sent to the same position (injective)
Permutations as Rearrangements
Example: Let $X = {1, 2, 3}$. Here are all permutations:
Identity (do nothing): \(\sigma_1 = \begin{pmatrix} 1 & 2 & 3 \\ 1 & 2 & 3 \end{pmatrix} \quad \text{means} \quad 1 \to 1, \, 2 \to 2, \, 3 \to 3\)
Swap 1 and 2: \(\sigma_2 = \begin{pmatrix} 1 & 2 & 3 \\ 2 & 1 & 3 \end{pmatrix} \quad \text{means} \quad 1 \to 2, \, 2 \to 1, \, 3 \to 3\)
Cyclic shift ($1 \to 2 \to 3 \to 1$): \(\sigma_3 = \begin{pmatrix} 1 & 2 & 3 \\ 2 & 3 & 1 \end{pmatrix} \quad \text{means} \quad 1 \to 2, \, 2 \to 3, \, 3 \to 1\)
And so on… there are $3! = 6$ total permutations.
Two-Row Notation
The standard way to write a permutation $\sigma$ on ${1, 2, \ldots, n}$ is:
\[\sigma = \begin{pmatrix} 1 & 2 & 3 & \cdots & n \\ \sigma(1) & \sigma(2) & \sigma(3) & \cdots & \sigma(n) \end{pmatrix}\]Top row: Original positions
Bottom row: Where each element goes
Example: \(\sigma = \begin{pmatrix} 1 & 2 & 3 & 4 \\ 3 & 1 & 4 & 2 \end{pmatrix}\)
This means: $1 \to 3$, $2 \to 1$, $3 \to 4$, $4 \to 2$
The Symmetric Group $S_n$
Definition: The symmetric group $S_n$ is the set of all permutations of ${1, 2, \ldots, n}$ under the operation of composition.
\[S_n = \{\sigma : \{1, \ldots, n\} \to \{1, \ldots, n\} \mid \sigma \text{ is bijective}\}\]| Size: $ | S_n | = n!$ |
Why? There are $n$ choices for where to send $1$, then $n-1$ choices for where to send $2$, and so on:
\[n \times (n-1) \times (n-2) \times \cdots \times 1 = n!\]$S_n$ is Indeed a Group
Let’s verify the group axioms:
1. Closure: If $\sigma$ and $\tau$ are permutations (bijections), then $\sigma \circ \tau$ is also a bijection. \(\sigma, \tau \in S_n \implies \sigma \circ \tau \in S_n\)
2. Associativity: Function composition is always associative: \((\sigma \circ \tau) \circ \rho = \sigma \circ (\tau \circ \rho)\)
3. Identity: The identity permutation $e$ (or $\text{id}$): \(e = \begin{pmatrix} 1 & 2 & \cdots & n \\ 1 & 2 & \cdots & n \end{pmatrix}\)
Satisfies $e \circ \sigma = \sigma \circ e = \sigma$ for all $\sigma \in S_n$.
4. Inverses: Since permutations are bijections, each has an inverse function. If $\sigma(i) = j$, then $\sigma^{-1}(j) = i$.
\[\sigma \circ \sigma^{-1} = \sigma^{-1} \circ \sigma = e\]Small Symmetric Groups
$S_1$: Only one permutation (identity). Trivial group. \(|S_1| = 1! = 1\)
$S_2$: Two permutations \(|S_2| = 2! = 2\)
\[e = \begin{pmatrix} 1 & 2 \\ 1 & 2 \end{pmatrix}, \quad \sigma = \begin{pmatrix} 1 & 2 \\ 2 & 1 \end{pmatrix}\]$S_2$ is isomorphic to $\mathbb{Z}_2$ (integers modulo 2).
$S_3$: Six permutations \(|S_3| = 3! = 6\)
We’ll explore $S_3$ in detail below—it’s the smallest non-abelian group.
$S_4$: Twenty-four permutations \(|S_4| = 4! = 24\)
Used in solving quartic polynomials, Rubik’s cube mathematics, and more.
Cycle Notation
Two-row notation is cumbersome for large $n$. Cycle notation is more compact and reveals structure.
What is a Cycle?
A cycle is a permutation that moves elements in a circular fashion:
\[(a_1 \, a_2 \, a_3 \, \ldots \, a_k)\]This means: \(a_1 \to a_2 \to a_3 \to \cdots \to a_k \to a_1\)
All other elements are fixed (don’t move).
Example: The cycle $(1 \, 3 \, 5)$ means: \(1 \to 3, \quad 3 \to 5, \quad 5 \to 1, \quad \text{and } 2 \to 2, \, 4 \to 4, \ldots\)
In two-row notation (for $S_5$): \((1 \, 3 \, 5) = \begin{pmatrix} 1 & 2 & 3 & 4 & 5 \\ 3 & 2 & 5 & 4 & 1 \end{pmatrix}\)
Cycle Decomposition
Theorem: Every permutation can be written as a product of disjoint cycles (cycles that don’t share any elements).
Example 1: \(\sigma = \begin{pmatrix} 1 & 2 & 3 & 4 & 5 \\ 3 & 5 & 1 & 4 & 2 \end{pmatrix}\)
Trace the cycles:
- Start at $1$: $1 \to 3 \to 1$ (cycle $(1 \, 3)$)
- Start at $2$: $2 \to 5 \to 2$ (cycle $(2 \, 5)$)
- $4$ is fixed: $(4)$ (written or omitted)
So: \(\sigma = (1 \, 3)(2 \, 5)\)
Example 2: \(\tau = \begin{pmatrix} 1 & 2 & 3 & 4 & 5 & 6 \\ 2 & 3 & 1 & 6 & 5 & 4 \end{pmatrix}\)
Trace the cycles:
- Start at $1$: $1 \to 2 \to 3 \to 1$ (cycle $(1 \, 2 \, 3)$)
- Start at $4$: $4 \to 6 \to 4$ (cycle $(4 \, 6)$)
- $5$ is fixed
So: \(\tau = (1 \, 2 \, 3)(4 \, 6)\)
Key Property: Disjoint cycles commute (order doesn’t matter): \((1 \, 3)(2 \, 5) = (2 \, 5)(1 \, 3)\)
But non-disjoint cycles generally do NOT commute.
Cycle Length
The length of a cycle $(a_1 \, a_2 \, \ldots \, a_k)$ is $k$.
Terminology:
- 1-cycle: Fixed point (usually omitted)
- 2-cycle: Transposition (swap)
- 3-cycle: Triple exchange
- $k$-cycle: Permutes $k$ elements cyclically
Order of a cycle: The smallest positive integer $m$ such that applying the cycle $m$ times returns to the identity.
For a $k$-cycle: order = $k$
Example: $(1 \, 2 \, 3)$ has order 3 \((1 \, 2 \, 3) \circ (1 \, 2 \, 3) = (1 \, 3 \, 2)\) \((1 \, 2 \, 3) \circ (1 \, 2 \, 3) \circ (1 \, 2 \, 3) = e\)
Composition and Inverses
Composing Permutations
Convention: We read compositions right to left (like function composition).
\[(\sigma \circ \tau)(x) = \sigma(\tau(x))\]Example: Compute $(1 \, 2 \, 3) \circ (1 \, 2)$
Method 1 (Right to left):
- First apply $(1 \, 2)$: $1 \to 2$
- Then apply $(1 \, 2 \, 3)$: $2 \to 3$
- Result: $1 \to 3$
Continue for all elements:
- $1 \to 2 \to 3$
- $2 \to 1 \to 2$
- $3 \to 3 \to 1$
So $(1 \, 2 \, 3) \circ (1 \, 2) = (1 \, 3)$
Method 2 (Two-row notation): \((1 \, 2) = \begin{pmatrix} 1 & 2 & 3 \\ 2 & 1 & 3 \end{pmatrix}, \quad (1 \, 2 \, 3) = \begin{pmatrix} 1 & 2 & 3 \\ 2 & 3 & 1 \end{pmatrix}\)
Compose by following the path: \(\begin{pmatrix} 1 & 2 & 3 \\ 2 & 1 & 3 \end{pmatrix} \to \begin{pmatrix} 1 & 2 & 3 \\ 3 & 2 & 1 \end{pmatrix}\)
Result: $(1 \, 3)$ ✓
Computing Inverses
For cycles: Reverse the order!
\[(a_1 \, a_2 \, a_3 \, \ldots \, a_k)^{-1} = (a_k \, a_{k-1} \, \ldots \, a_2 \, a_1)\]Examples: \((1 \, 2 \, 3)^{-1} = (3 \, 2 \, 1) = (1 \, 3 \, 2)\)
\[(1 \, 2)^{-1} = (2 \, 1) = (1 \, 2) \quad \text{(transpositions are self-inverse)}\]For products of cycles: Reverse the order and invert each cycle:
\[(\sigma_1 \circ \sigma_2 \circ \cdots \circ \sigma_k)^{-1} = \sigma_k^{-1} \circ \cdots \circ \sigma_2^{-1} \circ \sigma_1^{-1}\]Example: \([(1 \, 2 \, 3)(4 \, 5)]^{-1} = (4 \, 5)^{-1} \circ (1 \, 2 \, 3)^{-1} = (4 \, 5)(1 \, 3 \, 2)\)
Transpositions
A transposition is a 2-cycle: a permutation that swaps exactly two elements.
\[\tau = (i \, j)\]Properties:
- Self-inverse: $(i \, j)^{-1} = (i \, j)$
- Order 2: $(i \, j) \circ (i \, j) = e$
- Commute if disjoint: $(1 \, 2)(3 \, 4) = (3 \, 4)(1 \, 2)$
Every Permutation is a Product of Transpositions
Theorem: Every permutation can be written as a product (composition) of transpositions.
Proof Idea: First decompose into cycles, then decompose each cycle into transpositions.
Key Identity: A $k$-cycle can be written as: \((a_1 \, a_2 \, a_3 \, \ldots \, a_k) = (a_1 \, a_k)(a_1 \, a_{k-1}) \cdots (a_1 \, a_3)(a_1 \, a_2)\)
Example: $(1 \, 2 \, 3)$ \((1 \, 2 \, 3) = (1 \, 3)(1 \, 2)\)
Verify:
- $1 \to 2 \to 2$ (via $(1,2)$, fixed by $(1,3)$) ✗
Wait, let me recalculate:
- First $(1 \, 2)$: $1 \to 2$
- Then $(1 \, 3)$: $2 \to 2$ (not affected), but $1 \to 3$
Actually, let’s trace carefully:
- $1$: $(1,2)$ sends $1 \to 2$, then $(1,3)$ sends $2 \to 2$. So $1 \to 2$. ✗
The correct decomposition uses the formula: \((1 \, 2 \, 3) = (1 \, 2)(2 \, 3)\)
Verify:
- $1$: $(2,3)$ fixes $1$, $(1,2)$ sends $1 \to 2$. So $1 \to 2$. ✓
- $2$: $(2,3)$ sends $2 \to 3$, $(1,2)$ fixes $3$. So $2 \to 3$. ✓
- $3$: $(2,3)$ sends $3 \to 2$, $(1,2)$ sends $2 \to 1$. So $3 \to 1$. ✓
General formula (adjacent transpositions): \((a_1 \, a_2 \, \ldots \, a_k) = (a_1 \, a_2)(a_2 \, a_3) \cdots (a_{k-1} \, a_k)\)
Non-Uniqueness
Important: The decomposition into transpositions is not unique.
Example: \((1 \, 2 \, 3) = (1 \, 2)(2 \, 3) = (1 \, 3)(1 \, 2) = (2 \, 3)(1 \, 3)\)
However, the parity (even or odd number of transpositions) is always the same!
Sign of a Permutation
Even and Odd Permutations
Definition: A permutation is even if it can be written as a product of an even number of transpositions, and odd if it requires an odd number.
Theorem: The parity is well-defined—a permutation cannot be both even and odd.
Sign function: \(\text{sgn}(\sigma) = \begin{cases} +1 & \text{if } \sigma \text{ is even} \\ -1 & \text{if } \sigma \text{ is odd} \end{cases}\)
Computing the Sign
Method 1: Count transpositions
Decompose $\sigma$ into transpositions and count them.
Example: $(1 \, 2 \, 3) = (1 \, 2)(2 \, 3)$ (2 transpositions) \(\text{sgn}((1 \, 2 \, 3)) = (-1)^2 = +1 \quad \text{(even)}\)
Example: $(1 \, 2) = (1 \, 2)$ (1 transposition) \(\text{sgn}((1 \, 2)) = (-1)^1 = -1 \quad \text{(odd)}\)
Method 2: Cycle structure
A $k$-cycle has sign: \(\text{sgn}((a_1 \, \ldots \, a_k)) = (-1)^{k-1}\)
Why? A $k$-cycle decomposes into $k-1$ transpositions.
For disjoint cycles: \(\text{sgn}(\sigma_1 \circ \sigma_2 \circ \cdots) = \text{sgn}(\sigma_1) \cdot \text{sgn}(\sigma_2) \cdots\)
Example: $(1 \, 2 \, 3)(4 \, 5 \, 6 \, 7)$ \(\text{sgn} = (-1)^{3-1} \cdot (-1)^{4-1} = (+1) \cdot (-1) = -1 \quad \text{(odd)}\)
Method 3: Inversion count
An inversion in $\sigma$ is a pair $(i, j)$ with $i < j$ but $\sigma(i) > \sigma(j)$.
\[\text{sgn}(\sigma) = (-1)^{\text{number of inversions}}\]Example: $\sigma = \begin{pmatrix} 1 & 2 & 3 \ 3 & 1 & 2 \end{pmatrix}$
Inversions:
- $(1, 2)$: $\sigma(1) = 3 > \sigma(2) = 1$ ✓
- $(1, 3)$: $\sigma(1) = 3 > \sigma(3) = 2$ ✓
- $(2, 3)$: $\sigma(2) = 1 < \sigma(3) = 2$ ✗
Total: 2 inversions \(\text{sgn}(\sigma) = (-1)^2 = +1 \quad \text{(even)}\)
The Alternating Group $A_n$
The set of all even permutations forms a subgroup of $S_n$ called the alternating group $A_n$.
\[A_n = \{\sigma \in S_n \mid \text{sgn}(\sigma) = +1\}\]| Size: $ | A_n | = \frac{n!}{2}$ |
Why? Exactly half of all permutations are even.
| Example: $ | A_3 | = \frac{3!}{2} = 3$ |
The three even permutations in $S_3$ are:
- $e$ (identity)
- $(1 \, 2 \, 3)$
- $(1 \, 3 \, 2)$
Computing in Symmetric Groups
Example: $S_3$ Multiplication Table
$S_3$ has 6 elements: \(\begin{align} e &= \text{identity} \\ \sigma &= (1 \, 2) \\ \tau &= (1 \, 3) \\ \rho &= (2 \, 3) \\ \alpha &= (1 \, 2 \, 3) \\ \beta &= (1 \, 3 \, 2) \end{align}\)
Partial multiplication table:
| $e$ | $\sigma$ | $\alpha$ | $\beta$ | |
|---|---|---|---|---|
| $e$ | $e$ | $\sigma$ | $\alpha$ | $\beta$ |
| $\sigma$ | $\sigma$ | $e$ | $\beta$ | $\alpha$ |
| $\alpha$ | $\alpha$ | $\rho$ | $\beta$ | $e$ |
| $\beta$ | $\beta$ | $\tau$ | $e$ | $\alpha$ |
Note: $S_3$ is non-abelian (not commutative): \(\sigma \circ \alpha = (1 \, 2) \circ (1 \, 2 \, 3) = (2 \, 3) = \rho\)
\[\alpha \circ \sigma = (1 \, 2 \, 3) \circ (1 \, 2) = (1 \, 3) = \tau\]So $\sigma \circ \alpha \neq \alpha \circ \sigma$.
Computing Cycle Orders
Order of a permutation: The smallest $m > 0$ such that $\sigma^m = e$.
For a single cycle: $\text{order}((a_1 \, \ldots \, a_k)) = k$
For disjoint cycles: $\text{order} = \text{lcm}(\text{cycle lengths})$
Example: $(1 \, 2 \, 3)(4 \, 5)$ \(\text{order} = \text{lcm}(3, 2) = 6\)
Check: \([(1 \, 2 \, 3)(4 \, 5)]^6 = (1 \, 2 \, 3)^6 \circ (4 \, 5)^6 = e \circ e = e \quad ✓\)
Why Symmetric Groups Matter
1. Determinants and the Leibniz Formula
The determinant of an $n \times n$ matrix is defined as a sum over $S_n$:
\[\det(A) = \sum_{\sigma \in S_n} \text{sgn}(\sigma) \prod_{i=1}^n a_{i,\sigma(i)}\]Example ($2 \times 2$):
$S_2 = {e, (1 \, 2)}$
\[\det \begin{pmatrix} a & b \\ c & d \end{pmatrix} = \text{sgn}(e) \cdot a \cdot d + \text{sgn}((1 \, 2)) \cdot b \cdot c = ad - bc\]Connection: The sign of the permutation determines whether a term is added or subtracted!
2. Polynomial Roots and Galois Theory
The Galois group of a polynomial is (roughly) the group of permutations of its roots that preserve algebraic relations.
Example: For $x^2 - 2 = 0$, the roots are $\pm \sqrt{2}$. Swapping them is a permutation in $S_2$.
Abel-Ruffini Theorem: There’s no general formula for roots of degree $\geq 5$ polynomials because $S_n$ for $n \geq 5$ is “too complicated” (not solvable).
3. Molecular Symmetry (Chemistry)
Molecules have symmetry groups that are often subgroups of $S_n$.
Example: Methane ($\text{CH}_4$) has tetrahedral symmetry, a subgroup of $S_4$ acting on the 4 hydrogen atoms.
4. Cryptography
Permutation ciphers rearrange plaintext characters according to a permutation in $S_n$.
Example: Caesar cipher is a cyclic permutation of the alphabet.
Modern block ciphers (AES, DES) use complex combinations of permutations and substitutions.
5. Combinatorics
Counting problems often involve counting permutations or orbits under group actions.
| Example: How many ways to arrange 5 distinct books on a shelf? Answer: $ | S_5 | = 5! = 120$. |
6. Rubik’s Cube
The Rubik’s cube group is a subgroup of $S_{48}$ (permutations of 48 movable pieces), with order approximately $4.3 \times 10^{19}$.
Interactive Examples
Example 1: All Permutations of $S_3$
List in cycle notation:
\[\begin{align} e &= \text{(identity)} \\ (1 \, 2) &= \text{swap 1 and 2} \\ (1 \, 3) &= \text{swap 1 and 3} \\ (2 \, 3) &= \text{swap 2 and 3} \\ (1 \, 2 \, 3) &= \text{rotate: } 1 \to 2 \to 3 \to 1 \\ (1 \, 3 \, 2) &= \text{rotate: } 1 \to 3 \to 2 \to 1 \end{align}\]Signs:
- $e$: even (0 transpositions)
- $(1 \, 2)$, $(1 \, 3)$, $(2 \, 3)$: odd (1 transposition each)
- $(1 \, 2 \, 3)$, $(1 \, 3 \, 2)$: even (2 transpositions each)
So $A_3 = {e, (1 \, 2 \, 3), (1 \, 3 \, 2)}$.
Example 2: Composition Practice
Compute $(1 \, 3 \, 5)(2 \, 4) \circ (1 \, 2)(3 \, 4 \, 5)$.
Step 1: Apply $(1 \, 2)(3 \, 4 \, 5)$ first (right to left).
Trace each element:
- $1$: $(3,4,5)$ fixes $1$, $(1,2)$ sends $1 \to 2$. Result: $1 \to 2$
- $2$: $(3,4,5)$ fixes $2$, $(1,2)$ sends $2 \to 1$. Result: $2 \to 1$
- $3$: $(3,4,5)$ sends $3 \to 4$, $(1,2)$ fixes $4$. Result: $3 \to 4$
- $4$: $(3,4,5)$ sends $4 \to 5$, $(1,2)$ fixes $5$. Result: $4 \to 5$
- $5$: $(3,4,5)$ sends $5 \to 3$, $(1,2)$ fixes $3$. Result: $5 \to 3$
So $(1 \, 2)(3 \, 4 \, 5) = (1 \, 2)(3 \, 4 \, 5)$ (already in cycle form).
Step 2: Apply $(1 \, 3 \, 5)(2 \, 4)$ to this result.
Actually, let’s use the shortcut: trace through both compositions at once.
- $1$: $(3,4,5)$ fixes → $(1,2)$ sends to $2$ → $(2,4)$ sends to $4$ → $(1,3,5)$ fixes. Result: $1 \to 4$
- $2$: $(3,4,5)$ fixes → $(1,2)$ sends to $1$ → $(2,4)$ fixes → $(1,3,5)$ sends to $3$. Result: $2 \to 3$
- $3$: $(3,4,5)$ sends to $4$ → $(1,2)$ fixes → $(2,4)$ sends to $2$ → $(1,3,5)$ fixes. Result: $3 \to 2$
- $4$: $(3,4,5)$ sends to $5$ → $(1,2)$ fixes → $(2,4)$ fixes → $(1,3,5)$ sends to $1$. Result: $4 \to 1$
- $5$: $(3,4,5)$ sends to $3$ → $(1,2)$ fixes → $(2,4)$ fixes → $(1,3,5)$ sends to $5$. Result: $5 \to 5$
So the result is: \(\begin{pmatrix} 1 & 2 & 3 & 4 & 5 \\ 4 & 3 & 2 & 1 & 5 \end{pmatrix} = (1 \, 4)(2 \, 3)\)
Example 3: Finding Inverses
Find the inverse of $(1 \, 2 \, 3 \, 4)(5 \, 6 \, 7)$.
Method: Reverse each cycle: \([(1 \, 2 \, 3 \, 4)(5 \, 6 \, 7)]^{-1} = (1 \, 4 \, 3 \, 2)(5 \, 7 \, 6)\)
Verify: \((1 \, 2 \, 3 \, 4)(5 \, 6 \, 7) \circ (1 \, 4 \, 3 \, 2)(5 \, 7 \, 6)\)
Trace $1$: $(5,7,6)$ fixes → $(1,4,3,2)$ sends to $4$ → $(5,6,7)$ fixes → $(1,2,3,4)$ sends back to $1$. ✓
(All elements return to themselves—it’s the identity.)
Example 4: Sign Calculation
Find $\text{sgn}((1 \, 5 \, 3)(2 \, 7)(4 \, 6 \, 8 \, 9))$.
Method: Use cycle lengths.
- $(1 \, 5 \, 3)$: length 3, sign $(-1)^{3-1} = +1$
- $(2 \, 7)$: length 2, sign $(-1)^{2-1} = -1$
- $(4 \, 6 \, 8 \, 9)$: length 4, sign $(-1)^{4-1} = -1$
Total sign: \(\text{sgn} = (+1) \cdot (-1) \cdot (-1) = +1 \quad \text{(even permutation)}\)
Summary
Key Takeaways
-
Permutations are bijective functions from a set to itself—ways of rearranging elements.
- Symmetric group $S_n$ is the group of all permutations of $n$ elements under composition.
-
Size: $ S_n = n!$ - Non-abelian for $n \geq 3$
-
- Cycle notation provides a compact way to express permutations.
- Every permutation decomposes into disjoint cycles
- Cycle structure reveals important properties
- Transpositions (2-cycles) generate all permutations.
- Every permutation is a product of transpositions
- Parity (even/odd) is well-defined
- Sign function $\text{sgn}(\sigma) = \pm 1$ depends on parity.
- Even permutations form the alternating group $A_n$
- Critical for determinant formulas
- Applications span mathematics, physics, chemistry, computer science:
- Determinants (Leibniz formula)
- Galois theory (solving polynomials)
- Molecular symmetry
- Cryptography
- Combinatorics
Conceptual Hierarchy
Bijective Functions (invertible rearrangements)
↓
Permutations (bijections from set to itself)
↓
Symmetric Group S_n (all permutations with composition)
↓
Structure: Cycles, Transpositions, Sign
↓
Applications: Determinants, Galois Theory, Symmetry, ...
Further Reading
Foundational Texts:
- Dummit & Foote. Abstract Algebra (3rd ed., 2004) - Comprehensive treatment of group theory
- Artin, M. Algebra (2nd ed., 2011) - Elegant introduction with geometric intuition
- Rotman, J. An Introduction to the Theory of Groups (1995) - Group theory deep dive
Specialized Topics:
- Sagan, B. The Symmetric Group (2001) - Dedicated to $S_n$ and its representations
- James & Liebeck. Representations and Characters of Groups (2001) - Representation theory
- Knuth, D. The Art of Computer Programming, Vol. 3 (1998) - Permutations in algorithms
Applications:
- Stewart, I. Galois Theory (4th ed., 2015) - Galois groups and polynomial solvability
- Cotton, F. Chemical Applications of Group Theory (3rd ed., 1990) - Molecular symmetry
Final Thought:
Symmetric groups are the “atoms” of group theory—every finite group embeds into some $S_n$ (Cayley’s theorem). Understanding how permutations compose, how they decompose into cycles, and how their signs behave unlocks deep connections across mathematics. From the simple act of rearranging a deck of cards to the profound Abel-Ruffini theorem about polynomial unsolvability, $S_n$ is everywhere. 🎴
If you found this helpful, check out the related posts on bijective functions and matrix determinants to see symmetric groups in action!