Group Actions
A (left) group action of on a set is a function , written , satisfying and for all and .
An action lets an abstract group become literal motion: does not just sit beside , every moves every point of somewhere, and the compatibility axiom says doing then always lands in the same place as doing the single combined motion the action faithfully tracks the group's own multiplication, not just a loose pile of functions. Cayley's theorem (Topic 4) already used one action without the name: acting on itself by left multiplication, . This topic studies actions on sets other than itself vertices of a polygon, colorings, subsets where the geometry becomes the real subject.
Label the square's vertices clockwise from the top. (Topic 6) acts on : sends , and fixes while swapping . Check compatibility at : , so . Directly, (apply , then ) sends , so as well the two routes agree.
acts on by . Check compatibility at : first , so . Directly, , so the same value either way, as associativity of multiplication mod guarantees for every triple.
acts on the two-element subsets of by . Check compatibility for , , acting on . First , so . Directly, sends and , so matching. Since every is a bijection, is always a genuine -element subset: this is a group action, on a set of size .
A plausible-looking rule can still fail the compatibility axiom. Try for acting on , with , . Then (transpositions are self-inverse), so . But sends , , , so sends , giving . Since , the axiom fails: is not a group action on a non-abelian group, even though holds.
Using the action on the square's vertices above, check that .
Show the answerHide the answer
(the reflection swaps and ), so . Directly, sends (apply , then ), so too. Both routes give .
Orbits and Stabilizers
For , the orbit of is , the set of everywhere can be moved to. The stabilizer of is , the symmetries that leave exactly where it is; is always a subgroup of (Why It Works). The orbits partition into disjoint pieces, the same way cosets partition a group (Topic 5).
Orbit and stabilizer answer two different questions about the same point: the orbit lives inside and asks "where can go?", while the stabilizer lives inside and asks "which symmetries don't move at all?" An action is transitive when itself is a single orbit every point reachable from every other which is exactly the situation for turning a square's vertices into one another. The stabilizer is never empty, since always fixes , and checking it is a subgroup costs nothing new: it is a direct instance of the subgroup test from Topic 3, run on the condition "" instead of a formula in alone.
Find for acting on the square's vertices. Applying all elements to : , , , , , , , . The distinct values are : is the whole vertex set, so the action is transitive unsurprising, since a square's symmetries can carry any corner onto any other.
From the list just computed, , since only and fixed among the values above. Geometrically is the reflection through the diagonal joining vertices and the one mirror, besides doing nothing, that leaves vertex in place.
The square has diagonals, and , and acts on this -element set by . Computing for all elements: all fix (e.g. ), while all send it to . So , the whole set yes, transitive with , order .
An orbit and a stabilizer live in different worlds and are easy to mix up. has elements, all of them vertices; has elements, both of them symmetries. Neither set is a subset of the other, and there is no reason to expect their sizes to match here they don't (), and the relationship between the two sizes is exactly what the next section pins down.
Find and for acting on the square's vertices.
Show the answerHide the answer
Every vertex of the square is reachable from vertex by some rotation, so . For the stabilizer, only and the reflection (through vertices and ) fix vertex : .
The Orbit-Stabilizer Theorem
For a finite group acting on and any ,
Equivalently, : the orbit size is the index of the stabilizer, so it always divides .
The proof (Why It Works) sets up a bijection between the orbit of and the cosets of : the coset corresponds to the single point , and every element of that coset sends to that same point. So "how large is the orbit" and "how large is the stabilizer" are not independent questions they multiply to the fixed number , exactly the way Lagrange's theorem (Topic 5) makes subgroup order and index multiply to . This is, in fact, Lagrange's theorem applied to : the theorem here is what makes that application possible, by identifying the index with something concrete and countable, the orbit.
For acting on the square's vertices, Section 2 found , size , and , size . Indeed , confirming the theorem for this point and since every vertex has the same orbit (all of ), every vertex's stabilizer must have the same size , without recomputing each one by hand.
Section 2 also found, for acting on the diagonals, of size and of size . Again . The two examples show the same group splitting two different ways for a vertex, for a diagonal depending only on how large a piece of one point drags along with it.
Let act on its two-element subsets as in Section 1, and find without listing images. A permutation fixes setwise exactly when it permutes among themselves (either fixing both or swapping them, choices) while permuting however it likes ( choices): , order . By the theorem, which must be every -element subset, since there are only of them: acts transitively on pairs.
It is tempting to assume an orbit is always the full size of , forgetting the stabilizer can shrink it. has order , but has only elements, not the reflection already sends back to itself, so the group elements produce only distinct images, each one reached by exactly different symmetries. An orbit equals only when the stabilizer is trivial.
Given that acts transitively on the square's vertices () and , find , then name its elements.
Show the answerHide the answer
By the theorem, . Checking directly, the symmetries fixing vertex are and the reflection through vertices and (the same mirror that fixed vertex ): .
Burnside's Lemma
If a finite group acts on a finite set , the number of orbits equals
That is: the number of orbits is the average, over the group, of how many points each element fixes.
The proof (Why It Works) counts the pairs with two ways. Summing over first gives directly. Summing over first gives , and grouping by orbit, each orbit contributes for any , by the orbit-stabilizer theorem (Section 3) so every orbit contributes exactly , and the total is times the number of orbits. This turns "count the orbits", which looks like it needs listing every point of , into "count the fixed points of each of the group elements", often a far shorter list.
How many ways are there to color the vertices of a triangle red or blue, where two colorings count as the same if one is a rotation or reflection of the other? Here , , acting on the colorings. The identity fixes all . Each of the nontrivial rotations is a single -cycle on the vertices, so it fixes a coloring only if all vertices share one color: colorings each. Each of the reflections fixes one vertex and swaps the other two, so it fixes a coloring exactly when the swapped pair matches: (pair colors) (fixed vertex) each. The sum is , so the number of orbits is .
Check the count of by listing the colorings of the labeled triangle (writing each as vertices ): the monochromatic colorings and are each fixed by every symmetry, so each is its own orbit of size . Among the rest, (one blue vertex) form one orbit of size can move that single blue vertex to any of the positions and (one red vertex) form a second orbit of size , since no symmetry changes a color, only moves positions. That is orbits, matching Burnside's count exactly.
Now let , the rotations alone (no flipping over), act on -colorings of beads in a circle. fixes all ; and are single -cycles, fixing only the monochromatic colorings each; splits into disjoint -cycles, fixing a coloring exactly when each swapped pair matches, . The sum is , giving distinct necklaces a different group from the triangle example, but the same lemma.
The denominator is , never . In the triangle example, and gives the correct orbits; dividing by instead gives , which is not even what direct listing found. The sum always runs over group elements (one term per symmetry), and the average is taken over how many symmetries there are, not over how many colorings there are.
Using rotations only (, ), how many -colorings of beads in a circle are there, up to rotation?
Show the answerHide the answer
fixes all . Since is prime, each of the nontrivial rotations is a single -cycle, fixing only the monochromatic colorings. The sum is , so the count is .
Counting Colorings Up to Symmetry
For a group acting on the positions of a figure, and colorings with colors,
where is the number of cycles in 's disjoint cycle decomposition (Topic 4) of the positions, counting fixed points as -cycles. A coloring is unchanged by exactly when it assigns the same color to every position within one cycle of free choice of color between cycles, none within one which is choices per cycle, cycles.
This turns Burnside's lemma into pure arithmetic: find each group element's cycle type on the positions (exactly as in Topic 4's permutations), raise to the number of cycles, and average. No coloring ever needs to be listed by hand, however large or gets. The two square examples (Section 2) already illustrated the extremes: the identity has cycles (every position its own), giving the largest fixed count ; an -cycle rotation has just cycle, giving the smallest nontrivial fixed count .
How many ways to color the square's vertices with colors, up to the full symmetry group (rotations and reflections)? Cycle counts: has cycles (); (single -cycles) have ( each); (two -cycles) has (); the two diagonal reflections (fixing vertices, swapping the other ) have cycles ( each); the two edge reflections (two -cycles, no fixed vertex) have cycles ( each). The sum is , so the count is .
With only colors (black/white) and the full , the same cycle counts give , each, , each, each. The sum is , so there are colorings. These can be listed directly: all-black, all-white, exactly black vertex, exactly black (complement), black vertices adjacent, and black vertices opposite every other arrangement of black and white is a rotation or reflection of one of these.
For a regular pentagon, : has cycles (); the nontrivial rotations are single -cycles since is prime ( each, total ); each of the reflections fixes vertex and swaps the other in pairs, so cycles ( each, total ). The sum is , giving the same count as the rotation-only pentagon necklace from the Try It above, since here the mirror images happened not to introduce any new coincidences among -colorings of positions.
Using the wrong group changes the answer, even for the same figure and colors. Section 4's rotation-only group gives a DIFFERENT count from the full here once there are enough colors to tell mirror images apart: with colors on the square, rotations alone () give , not the found above with reflections included. Use only when the figure genuinely cannot be flipped over (like beads glued to a fixed mount); use when a mirror image counts as the same pattern.
How many ways to color a triangle's vertices with colors, up to (rotation and reflection)?
Show the answerHide the answer
has cycles (); the nontrivial rotations are single -cycles ( each, total ); the reflections each fix vertex and swap the other , so cycles ( each, total ). The sum is , giving .
Why It Works
Let act on and fix . First, since by the action axiom. Closure: if , then , using the compatibility axiom and then , so . Inverses: if , apply to both sides: , and the left side is by compatibility, so , i.e. . By the subgroup test (Topic 3), .
Define iff for some . Reflexive: . Symmetric: if then applying gives , so . Transitive: if and , then . So is an equivalence relation, and its equivalence classes are exactly the orbits which therefore partition , the same way cosets partition a group (Topic 5).
Fix and let . Define (the set of left cosets of ) by . This is well defined: if then for some , so . It is injective: if , i.e. , apply to get , so , which means , i.e. . It is surjective onto by definition of the orbit: every is for some , so . So is a bijection, giving , the number of cosets of . By Lagrange's theorem (Topic 5), , so .
Count the set of pairs two ways. Grouping by : . Grouping by : . Now split the second sum by orbit. If , say , then (for any , , and conjugation is reversible), so every element of a single orbit has a stabilizer of the same size, . By the orbit-stabilizer theorem, that common size is . So for a single orbit , each orbit contributes exactly . Summing over all orbits, . Combining both counts of : , which is Burnside's lemma after dividing by .