A Cartesian second-rank tensor invariant under half-turns about all three coordinate axes is diagonal. Each half-turn has diagonal signs, and each off-diagonal entry changes sign under at least one of them. Invariance therefore kills all off-diagonal entries. It does not make the diagonal entries equal: that requires additional rotational invariance, as for an isotropic second-rank tensor.
Use the Cartesian second-rank tensor transformation convention , where is the orthogonal matrix converting components to the new orthonormal basis. The coordinate half-turns are
For a diagonal rotation , invariance gives , with no summation in this equation. For each , one of the listed half-turns makes , so . Thus
This is coordinate half-turn invariance of a second-rank tensor. It does not force equal diagonal entries; invariance under all rotations would be the stronger isotropic second-rank tensor condition.
Let be an orthogonal matrix describing a Cartesian change of coordinates, with transformed vector components and . Their outer product transforms as
which is the transformation law of a second-order Cartesian tensor. Here “rank two” counts tensor indices, not the rank of a matrix; a nonzero outer product has matrix rank one.
For an isotropic second-rank tensor, invariance means for every proper rotation matrix. The half-turn matrices , and force all off-diagonal entries to vanish. Quarter-turns around coordinate axes then force the three diagonal entries to be equal. Conversely , so the most general second-rank isotropic tensor is
Since has matrix rank at most one, it cannot equal a nonzero scalar multiple of the three-dimensional identity. Thus its isotropy forces . If , a nonzero component makes the entire th row vanish only when ; the converse is immediate. The required choices are exactly
For the Levi-Civita symbol, multilinearity and antisymmetry of the determinant give
for every . This proves the rotation invariance of the Levi-Civita symbol, hence its third-rank isotropy. The convention is invariance under proper rotations: under an orthogonal reflection , the sign reverses. Thus it is a pseudotensor if transformations of both orientations are included.