Past exam of the mathematics course of the University of Cambridge 2016 ia Paper 3 4C Solution Created 2026-09-24 Updated 2026-10-06
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.
In Cartesian coordinates a rank- tensor is an array whose components transform under a change of orthonormal axes by one rotation matrix factor per index:An isotropic tensor has unchanged components under every proper rotation. The Levi-Civita symbol obeysfor , proving rotation invariance of the Levi-Civita symbol. Under an orthogonal transformation of determinant its sign reverses; including such transformations requires the pseudotensor distinction. Here isotropy is with respect to proper rotations.
Contract the determinant identity with . Since , one obtainsEvery index on the right is contracted, so the tensor component transformation law leaves no free rotation factor: the determinant is a scalar. Equivalently, gives .
For the matrix inverse, defineThis is the cofactor matrix. To verify the inverse formula rather than just recognize it, contract with and use the determinant identity again:Here the contraction of two Levi-Civita symbols gives . Therefore and, when ,These are the Levi-Civita formulas for a three-dimensional determinant and inverse.
Now differentiate the cubic determinant formula with respect to the individual entry . The three differentiated factors give equal contributions: exchanging two paired indices changes the sign of both epsilon symbols, leaving their product unchanged. ThusSubstituting the inverse expression proves the entrywise derivative of the determinant:The cofactor version remains valid for singular matrices; only the inverse version requires invertibility.
For the time-dependent Jacobian matrix, the stated smooth expansion impliesApplying the chain rule and the entrywise determinant derivative gives Jacobi's formula near :At zero, , so . A Taylor expansion therefore yieldsThe Jacobian determinant measures local volume change, so this establishes volume preservation to first order. An arbitrary family specified only through its first-order expansion need not preserve volume exactly at higher orders.