For a Cartesian tensor under a proper orthogonal change , the rank- law is , with repeated indices summed. An isotropic tensor has for every such rotation.
For rank two, . A half-turn about a coordinate axis, obtained by applying a quarter-turn twice, reverses each off-diagonal component with exactly one index on that axis. Invariance forces every off-diagonal entry to vanish. A quarter-turn about the third axis exchanges and ; quarter-turns about the other axes equate them with . Thus the isotropic second-rank tensor is
Conversely , proving sufficiency.
The unique symmetric and antisymmetric decomposition is , . Both pieces are Cartesian tensors: transposing gives , so and . Hence this is a decomposition into a symmetric tensor and an antisymmetric second-rank tensor, rather than just a decomposition of numerical arrays.
For the axial vector of an antisymmetric second-rank tensor, contract the two Levi-Civita symbols:
Thus
With this convention , so the displayed matrix is the negative of the cross-product matrix for .
For proper rotations the Levi-Civita symbol is invariant, so contracting the two rank-one tensors and gives with transformation . Thus the curl is a vector under proper rotations. Under an orientation-reversing orthogonal change it acquires an additional determinant sign: it is an axial vector when is a polar vector.
Commuting smooth partial derivatives and using epsilon contraction gives the curl of the curl identity:
Now take the curl of Faraday's law and use the vacuum Ampère-Maxwell equation: . Since , the identity gives . Taking the curl of the Ampère-Maxwell equation gives the same result for , using . Hence both satisfy the electromagnetic wave equation

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