A second-order Cartesian tensor assigns components in each orthonormal coordinate system according toHere is the matrix taking old vector components to new ones, and repeated indices are summed. This is the tensor component transformation law; an arbitrary array of nine numbers is not a tensor unless its components in different frames obey this rule. No symmetry is implied by being a second-order tensor.
Let be an orthogonal change of axes. Since is a second-order tensor, . The scalar-contraction assumption givesfor every tensor . In one fixed frame its components can be any array: in particular, choose one component at a time to be one, all others zero. Equality of the coefficients then forcesMultiplying by and yieldsThis is exactly the tensor component transformation law. It is the full-contraction version of the quotient theorem for Cartesian tensors. The words “for every” are essential: testing a single , such as the zero tensor or the identity, would not determine all components.
Use the quarter-turn rotation matrixFor a general second-order tensor, direct multiplication givesRequiring gives , , together with , and together with . Thus all mixed axial-transverse entries vanish andFor an arbitrary rotation angle , the transverse rotation is , where . The transverse block of is , so it commutes with . Therefore , while the axial component is unchanged.
Hence invariance holds under every rotation about the axis, not just the quarter-turn. This is the general axisymmetric second-order tensor; a symmetric tensor would additionally require , but that restriction was not assumed.
For , the inertia tensor component is . Reflect either coordinate appearing once: the cylindrical domain and density are unchanged, while the integrand changes sign. Thus every off-diagonal component vanishes. Rotational symmetry also implies .
Use cylindrical coordinates , , , with volume element . The axial moment of inertia isThe two contributions to a transverse component areThereforeThe axial value and transverse value for , give an independent check on both diagonal entries.
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