In symmetry analysis, a direct product describes how two symmetry-adapted quantities behave when they are combined. Direct products are used to determine whether interactions, couplings, or transitions are symmetry-allowed.
Examples include:
- overlap between orbitals,
- vibrational–electronic coupling,
- selection rules in spectroscopy.
Mathematically, the direct product of two representations is formed by multiplying their characters element-by-element.
Direct products in \(C_{2v}\)
In \(C_{2v}\), all irreducible representations are one-dimensional. As a result, direct products are especially simple: characters are just multiplied together, and the result corresponds directly to another irreducible representation.
Example 1: \(A_1 \times B_2\)
Using the characters:
\[ A_1 = (1,\;1,\;1,\;1), \qquad B_2 = (1,\;-1,\;-1,\;1) \]
Element-by-element multiplication gives:
\[ (1,\;1,\;1,\;1) \times (1,\;-1,\;-1,\;1) = (1,\;-1,\;-1,\;1) \]
which corresponds to \(B_2\).
Therefore: \(A_1 \times B_2 = B_2\).
Example 2: \(A_2 \times B_2\)
Using the characters:
\[ A_2 = (1,\;1,\;-1,\;-1), \qquad B_2 = (1,\;-1,\;-1,\;1) \]
Multiplying element-by-element:
\[ (1,\;1,\;-1,\;-1) \times (1,\;-1,\;-1,\;1) = (1,\;-1,\;1,\;-1) \]
which corresponds to \(B_1\).
Therefore: \(A_2 \times B_2 = B_1\).
Direct products in \(C_{3v}\)
In \(C_{3v}\), not all irreducible representations are one-dimensional. Direct products involving the two-dimensional representation \(E\) generally produce reducible representations that must be decomposed.
Example 3: \(A_2 \times A_2\)
The characters for \(A_2\) are
\[ A_2 = (1,\;1,\;-1) \quad \text{for } (E,\;2C_3,\;3\sigma_v) \]
Multiplying the characters by themselves:
\[ (1,\;1,\;-1) \times (1,\;1,\;-1) = (1,\;1,\;1) \]
which corresponds to \(A_1\).
Therefore: \(A_2 \times A_2 = A_1\).
Example 4: \(E \times E\)
The characters of \(E\) in \(C_{3v}\) are
\[ E = (2,\;-1,\;0) \]
Forming the direct product by multiplying characters:
\[ (2,\;-1,\;0) \times (2,\;-1,\;0) = (4,\;1,\;0) \]
This result is a reducible representation, which must be decomposed into irreducible representations.
Decomposing \(E\times E\) by dot products (using orthogonality)
For \(C_{3v}\), the classes are \(E\), \(2C_3\), and \(3\sigma_v\), and the group order is \(h=6\).
The irreducible characters are: \(A_1=(1,1,1)\), \(A_2=(1,1,-1)\), \(E=(2,-1,0)\).
First form the direct product characters:
\[ E\times E = (2,-1,0)\times(2,-1,0)=(4,1,0). \]
To find how many times an irrep \(\alpha\) appears in a reducible representation \(\Gamma\), take the weighted dot product over classes:
\[ a_\alpha=\frac{1}{h}\sum_{\text{classes}} n_R\,\chi^{(\alpha)}(R)\,\chi^{(\Gamma)}(R). \]
Dot product with \(A_1\)
\[ \sum n_R\,\chi^{(A_1)}\chi^{(E\times E)} = 1(1)(4)+2(1)(1)+3(1)(0) = 4+2+0 = 6. \]
\[ a_{A_1}=\frac{6}{h}=\frac{6}{6}=1 \quad\Rightarrow\quad A_1 \text{ appears once in } E\times E. \]
Dot product with \(A_2\)
\[ \sum n_R\,\chi^{(A_2)}\chi^{(E\times E)} = 1(1)(4)+2(1)(1)+3(-1)(0) = 4+2+0 = 6. \]
\[ a_{A_2}=\frac{6}{6}=1 \quad\Rightarrow\quad A_2 \text{ appears once in } E\times E. \]
Dot product with \(E\)
\[ \sum n_R\,\chi^{(E)}\chi^{(E\times E)} = 1(2)(4)+2(-1)(1)+3(0)(0) = 8-2+0 = 6. \]
\[ a_{E}=\frac{6}{6}=1 \quad\Rightarrow\quad E \text{ appears once in } E\times E. \]
Therefore the decomposition is: \(E\times E = A_1 + A_2 + E\).
This result is extremely important in spectroscopy and bonding, as it determines which combinations of functions can produce totally symmetric components.
Big idea: direct products reveal how symmetry properties combine. One-dimensional representations multiply directly, while higher-dimensional products often produce reducible representations that must be decomposed using the Great Orthogonality Theorem.