The number of independent components for a type (3,0) tensor is not a fixed value of $N^3$ but is severely constrained by its symmetry properties. For a totally anti-symmetric tensor, all components with repeated indices are zero. The non-zero components are determined by the unique set of three distinct indices, so the number of independent components is found by counting combinations without repetition, given by the formula $\binom{N}{3}$. In contrast, for a totally symmetric tensor, the order of indices doesn't matter, and repetitions are allowed. The number of independent components is found by counting combinations with repetition (a multiset), which leads to the formula $\binom{N+2}{3}$. This fundamental difference in counting is the key distinction between the two tensor types and highlights how symmetry directly dictates a tensor's degrees of freedom.
<aside> 🧄
$\complement\cdots$Counselor
</aside>
Symmetry and Independent Components: A tensor's symmetry properties directly determine its number of independent components. While a general type $(3,0)$ tensor in $N$ dimensions has $N^3$ components, symmetry relations significantly reduce this number.
Anti-symmetric Tensor: For an anti-symmetric tensor $T^{a b c}$, the components are only nonzero if all three indices are distinct. The value of a component is then determined by the unique set of three indices. The number of independent components is therefore the number of ways to choose 3 unique indices from $N$, given by the combination formula $\binom{N}{3}$.
Symmetric Tensor: For a symmetric tensor $S^{a b c}$, the order of indices is irrelevant, and repeated indices are allowed. The number of independent components is the number of ways to choose 3 indices from $N$ with replacement, which is a stars and bars problem represented by the formula $\binom{N+2}{3}$.
A Clear Mathematical Distinction: The contrast between the two counting methodscombinations without repetition for anti-symmetric tensors and combinations with repetition for symmetric tensors-is the fundamental reason for the vastly different number of independent components for each tensor type.
‣
<aside> 🧄
</aside>