A Cartesian second-rank tensor has component matrix in each orthonormal basis, with transformation under an orthogonal component change . Both indices transform; this is why assigning arbitrary matrices independently in different bases does not define a tensor. The determinant, trace, and Frobenius inner product with another such tensor are unchanged by these basis transformations.
For a real symmetric Cartesian second-rank tensor and a nonzero vector , require and symmetric and traceless with . Put , , , and . The unique decomposition isThe orthogonal projection isolates the plane perpendicular to . Splitting on both sides of gives its longitudinal, mixed and transverse blocks, proving reconstruction. The transverse trace fixes , the longitudinal component fixes , and the mixed block fixes , proving uniqueness. The remaining transverse block has two degrees of freedom. Together carry components, the number in a symmetric three-by-three matrix.
For a differentiable three-dimensional vector field , split its gradient tensor into symmetric and antisymmetric parts. The symmetric part is . Contracting the antisymmetric part with the Levi-Civita symbol gives the axial vector , proving the decomposition. If , the divergence of the symmetric part is . This lets a vector Laplacian be converted into a boundary integral of a symmetric tensor by the divergence theorem.
A Cartesian second-rank tensor in three dimensions invariant under quarter-turn rotations about all three coordinate axes is a scalar multiple of the identity matrix. Squaring the quarter-turns gives coordinate half-turns; invariance under these forces every off-diagonal component to vanish. The quarter-turns then equate the three diagonal components. This conclusion does not require the original tensor to be symmetric.
Every three-dimensional Cartesian second-rank tensor splits into scalar, symmetric-traceless, and antisymmetric parts. Their coefficients are , , and . The epsilon contraction identity reconstructs the antisymmetric part and proves uniqueness. Under proper rotations behaves as a vector, but under reflections it is an axial vector.
For a constant orthogonal Cartesian coordinate change , a Cartesian second-rank tensor obeys . The chain rule gives . Consequently , the transformation rule for a vector. Under non-Cartesian position-dependent coordinate changes, partial derivatives must be replaced by the appropriate covariant derivative.
A Cartesian second-rank tensor invariant under all rotations about an oriented unit axis has the displayed form. A half-turn about the axis eliminates the mixed axial-transverse entries, and a quarter-turn makes the transverse block a scalar matrix plus an antisymmetric planar rotation generator. Conversely both transverse terms commute with every rotation about the axis. The antisymmetric term is allowed unless symmetry or an additional axis-reversing rotation is imposed. This differs from an axially invariant second-rank tensor for an unoriented axis.
For a real conductivity tensor invariant under every rotation about a unit vector , the electric current density is . Its collinearity with a nonzero real electric field has three cases. Axial fields are always mapped to an axial current. Purely transverse fields give a collinear current exactly when , equivalently when this tensor is symmetric. Fields with nonzero axial and transverse parts require both and , making the tensor isotropic. The zero vector is included as a scalar multiple; requiring a nonzero current also requires the relevant scalar conductivity to be nonzero.
To prove necessity, take the dot product of with . If this gives ; the transverse and axial equations then respectively give and, when , . Reversing these steps proves sufficiency. Rotations about the axis alone permit ; symmetry under a transverse half-turn would eliminate this antisymmetric term.
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.
Articles by others on the same topic
There are currently no matching articles.