Let be an orthogonal matrix describing a Cartesian change of coordinates, with transformed vector components and . Their outer product transforms aswhich 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 isSince 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 exactlyFor the Levi-Civita symbol, multilinearity and antisymmetry of the determinant givefor 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.
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