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Mathematical Methods for Physics and Engineering - Matematica.NET

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29.7 COUNTING IRREPS USING CHARACTERSthat∑n 2 µ = g. (29.21)µThis completes the proof.As be<strong>for</strong>e, our st<strong>and</strong>ard demonstration group 3m provides an illustration. Inthis case we have seen already that there are two one-dimensional irreps <strong>and</strong> onetwo-dimensional irrep. This is in accord with (29.21) since1 2 +1 2 +2 2 =6, which is the order g of the group.Another straight<strong>for</strong>ward application of the relation (29.21), to the group withmultiplication table 29.3(a), yields immediate results. Since g =3,noneofitsirreps can have dimension 2 or more, as 2 2 = 4 is too large <strong>for</strong> (29.21) to besatisfied. Thus all irreps must be one-dimensional <strong>and</strong> there must be three ofthem (consistent with the fact that each element is in a class of its own, <strong>and</strong> thatthere are there<strong>for</strong>e three classes). The three irreps are the sets of 1 × 1 matrices(numbers)A 1 = {1, 1, 1} A 2 = {1,ω,ω 2 } A ∗ 2 = {1,ω 2 ,ω},where ω =exp(2πi/3); since the matrices are 1 × 1, the same set of nine numberswould be, of course, the entries in the character table <strong>for</strong> the irreps of the group.The fact that the numbers in each irrep are all cube roots of unity is discussedbelow. As will be noticed, two of these irreps are complex – an unusual occurrencein most applications – <strong>and</strong> <strong>for</strong>m a complex conjugate pair of one-dimensionalirreps. In practice, they function much as a two-dimensional irrep, but this is tobe ignored <strong>for</strong> <strong>for</strong>mal purposes such as theorems.A further property of characters can be derived from the fact that all elementsin a conjugacy class have the same order. Suppose that the element X has orderm, i.e.X m = I. This implies <strong>for</strong> a representation D of dimension n that[D(X)] m = I n . (29.22)Representations equivalent to D are generated as be<strong>for</strong>e by using similaritytrans<strong>for</strong>mations of the <strong>for</strong>mD Q (X) =Q −1 D(X)Q.In particular, if we choose the columns of Q to be the eigenvectors of D(X) then,as discussed in chapter 8,⎛⎞λ 1 0 ··· 0D Q (X) =0 λ. 2 ⎜ .⎝. ⎟. .. 0 ⎠0 ··· 0 λ n1099

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