Enumerative Combinatoric Algorithms. Pólya-Redfield Enumeration Theorem aka Burnside s Lemma
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1 Enumerative Combinatoric Algorithms Pólya-Redfield Enumeration Theorem aka Burnside s Lemma J.H. Redfield (1927), G. Pólya (1937): combinatorics W. Burnside (1911): orbit based Oswin Aichholzer: Enumerative Combinatoric Algorithms,
2 Some Examples for Starters 1 A) Consider strings of length 4 with characters {A, B, C}. Operation: cyclic shift by i positions, 0 i 3. How many different strings exist? B) Consider a 3 3 grid as shown. Color the unit squares with 3 different colors. How many different colorings exist, if we allow (a) rotation (b) rotation and reflection? Oswin Aichholzer: Enumerative Combinatoric Algorithms,
3 Some Examples for Starters 2 C) For a 3D cube color the 6 faces with k colors. How many different colorings are possible, if you can rotate the cube as usual in 3-space? D) How many different positions in Tic Tac Toe can we get after k half-moves, considering symmetries. Oswin Aichholzer: Enumerative Combinatoric Algorithms,
4 Objects and Operations Set of objects X Set of n operations R = {R i, 0 i n 1} R forms a group [1] w.r.t. (4 axioms R i, R j ): Closure: R k : R i R j = R k Associativity: (R i R j ) R k = R i (R j R k ) R 0 is identity element, i.e., R 0 R i = R i R 0 = R i Inverse element: R k : R k R i = R i R k = R 0 Objects might be strings, colored grids, colored cubes,... Operations might be rotations, reflections,... For objects R 0 is the identity (neutral) function. [1]: does not need to be commutative: it might well be that R i R j R j R i Oswin Aichholzer: Enumerative Combinatoric Algorithms,
5 Orbits An orbit is the set of all objects from X which can be transformed into each other by an operation from R (equivalence class). The length of an orbit is the number of elements it contains. Main Question: How many orbits exist? Oswin Aichholzer: Enumerative Combinatoric Algorithms,
6 Stabilizers For an object x X the operation R i R is a stabilizer if and only if R i (x) = x. m x... number of stabilizers for x r i... invariance number, i.e., number of objects for which R i is a stabilizer. We have n 1 i=0 r i = x X m x by double counting (each pair operation/object which gives an invariance is counted once on each side; left side counts by operation, right side counts by objects). Oswin Aichholzer: Enumerative Combinatoric Algorithms,
7 Counting Orbits 1 Deriving a first relation simplified version (not valid in full generality): x orbit m x = n This implies is unchanged! x X m x = Iterate the process. all orbits x orbit m x = all orbits n = n times the number of orbits. Thus one orbit n multiobjects All objects different: n times identity as stabilizer. Two times the same object: unify the vertices! For removed copy: remove outgoin edges, reroute incoming edges. We loose on identity as stabilizer, but get one new stabilizer, so the total number number of orbits = x X m x n Oswin Aichholzer: Enumerative Combinatoric Algorithms,
8 Counting Orbits 2 And with the previous observation n 1 i=0 r i = x X m x we therefore get number of orbits = n 1 i=0 r i n We will use this equation, as usually n << X and thus, all invariance numbers r i are easier to obtain than all numbers m x of stabilizers. Oswin Aichholzer: Enumerative Combinatoric Algorithms,
9 Examples: Strings (1) Consider strings of length 4 with characters {A, B}. Operation: cyclic shift by i positions, 0 i 3. How many different strings exist? Algorithm: 1. Identify all operations R 0 to R n 1 2. Compute all invariance numbers r i, 0 i n 1 3. Compute the number of orbits by n 1 i=0 r i n Oswin Aichholzer: Enumerative Combinatoric Algorithms,
10 Examples: Strings (2) Consider strings of length 4 with characters {A, B, C}. Operation: cyclic shift by i positions, 0 i 3. How many different strings exist? [Example A)] Oswin Aichholzer: Enumerative Combinatoric Algorithms,
11 Examples: Strings (3) Consider strings of length 4 with characters {A, B, C}, where each character is used at least once. Operation: cyclic shift by i positions, 0 i 3. How many different strings exist? (cf. Chapter about Inclusion-Exclusion Principle) Oswin Aichholzer: Enumerative Combinatoric Algorithms,
12 Examples: Grids (4) Consider a 2 2 grid as shown. Color the unit squares with 2 different colors. How many different colorings exist, if we allow (a) rotation (b) rotation and reflection? Oswin Aichholzer: Enumerative Combinatoric Algorithms,
13 Examples: Grids (5) Consider a 2 2 grid as shown. Color the unit squares with 3 different colors. How many different colorings exist, if we allow (a) rotation (b) rotation and reflection (c) only reflection? Oswin Aichholzer: Enumerative Combinatoric Algorithms,
14 Examples: Grids (6) Consider a 3 3 grid as shown. Color the unit squares with 2 different colors. How many different colorings exist, if we allow (a) rotation (b) rotation and reflection? Oswin Aichholzer: Enumerative Combinatoric Algorithms,
15 Examples: Grids (7) Consider a 3 3 grid as shown. Color the unit squares with 3 different colors. How many different colorings exist, if we allow (a) rotation (b) rotation and reflection? [Example B)] Oswin Aichholzer: Enumerative Combinatoric Algorithms,
16 Examples: Cube (8) For a 3D cube color the 6 faces with 2 colors. How many different colorings are possible, if you can rotate the cube as usual in 3-space? Oswin Aichholzer: Enumerative Combinatoric Algorithms,
17 Examples: Cube (9) For a 3D cube color the 6 faces with 3 and, more general, with k colors. How many different colorings are possible, if you can rotate the cube as usual in 3-space? [Example C)] Oswin Aichholzer: Enumerative Combinatoric Algorithms,
18 Examples: Cube (10) For a 3D cube place the numbers 1 to 6 on the 6 faces. How many different labelings are possible, if you can rotate the cube as usual in 3-space? The orientation of a number within a face can be ignored, that is, we only consider the assignement of numbers to faces. Oswin Aichholzer: Enumerative Combinatoric Algorithms,
19 Examples: Tik Tak Toe (11) Enumerate all different valid game positions of Tic Tac Toe after k half-moves, considering symmetries. o starts, x follows k+1 2 o, and k 2 x tokens are placed after k half-moves. [Example D)] Oswin Aichholzer: Enumerative Combinatoric Algorithms,
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