What Are the Key Differences in Symmetries of Triangles and Squares?

  • Thread starter Thread starter Siberius
  • Start date Start date
  • Tags Tags
    Square Symmetry
Click For Summary
The discussion highlights the differences in symmetries between triangles and squares, noting that a triangle has three rotations and three reflections, while a square has four rotations and four reflections. The symmetry of the square is constrained by adjacency, which prevents certain combinations of vertices from representing valid symmetries, unlike in triangles where all edges are adjacent. The symmetry group of the square is identified as the dihedral group D_4, and there is a mention of the complexity of symmetry groups in higher-dimensional shapes like the tetrahedron and cube. Additionally, the conversation touches on the classification of reflection groups and their connections to Lie algebras, emphasizing the beauty and depth of the theory behind these concepts. Overall, the exploration of symmetries reveals intricate relationships in geometry and group theory.
Siberius
Messages
3
Reaction score
0
Hi all,

I was thinking of symmetries today and this kept bugging me. I wonder if anyone can help me with this.

Consider the symmetries of a triangle. You can do 3 rotations and 3 reflections to get them all. Number the vertices, create an ordered set with 3 elements that contain the numbers of the vertices. Starting with the topmost and working clockwise you'd get (1,2,3), (2,3,1), etc. By doing all the symmetries you can get all possible combinations of three numbers.
Consider the symmetries of a square. You can do 4 rotations and 4 reflections to get them all. Do the same procedure as above, that is, number the vertices and construct the ordered sets. Now you don't end up with all possible combinations of 4 numbers. For example: number the top left hand side vertex 1, the top right hand side 2, the bottom right 3 and the bottom left 4. I cannot think of a way of getting the set (1,2,4,3). Can anyone?
 
Last edited:
Physics news on Phys.org
Any symmetry is going to preserve which vertices are adjacent to which others. So, while in a triangle, all edges are adjacent, so you can't use this to rule out any lists like (1,3,2), etc. as representing actual symmetries, for the square you can rule out (1,2,4,3) since this would make 2 adjacent to 4, which it isn't in the original square.
 
Yeah, I realized that I was ignoring the edges when re-thinking about this a few minutes later... I'm sorry for posting such a silly question :)
 
By the way, Siberius, the symmetry group of the square is the eight element dihedral group often denoted D_4 (confusingly, some authors denote this group D_8 but the former notation is definitely more common and IMO preferable).

Another point to remember: when you used reflections in computing the symmetry groups of the triangle and the cube, these are (as linear transformations) "improper" (they are isometries, but they don't have determinant one). The "proper" symmetry group correspond to an index two subgroup of the guys you found. Can you figure out the symmetry group of the tetrahedron and the three-cube? As permutation groups acting on the vertices, or alternatively, on the edges. (Would the group acting on the vertices be isomorphic to the group acting on the edges?)

I can't resist pointing out that you can generate the two groups you found (allowing "improper" isometries) using only reflections. This is related to the beautiful method of Coxeter for classifying such reflection groups, which turns out to be the same as Dynkin's method of classifying the simple complex Lie algebras. (Keyword: Coxeter-Dynkin diagrams.) Reflection groups have a very beautiful theory which is the subject of many books.

A very readable and fun high school textbook:

Groups and their Graphs, by Israel Grossman and Wilhelm Magnus, Mathematical Association of America, 1964.

Two very readable and fun undergraduate textbooks:

Permutation Groups by Peter J. Cameron, Cambridge University Press, 1999.

Groups and Geometry by Peter M. Neumann, Gabrielle A. Stoy, and the late Edward C. Thompson, Oxford University Press, 1994.

Kleinian geometry is also fun:

Transformation Geometry : an Introduction to Symmetry, by George E. Martin, Springer, 1982.
 
Last edited:
I am studying the mathematical formalism behind non-commutative geometry approach to quantum gravity. I was reading about Hopf algebras and their Drinfeld twist with a specific example of the Moyal-Weyl twist defined as F=exp(-iλ/2θ^(μν)∂_μ⊗∂_ν) where λ is a constant parametar and θ antisymmetric constant tensor. {∂_μ} is the basis of the tangent vector space over the underlying spacetime Now, from my understanding the enveloping algebra which appears in the definition of the Hopf algebra...

Similar threads

Replies
31
Views
3K
  • · Replies 17 ·
Replies
17
Views
2K
  • · Replies 7 ·
Replies
7
Views
1K
Replies
1
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 1 ·
Replies
1
Views
531