The symmetric and antisymmetric parts of a matrix are
Indeed , while the transpose identities give and . Thus is a symmetric matrix and is an antisymmetric matrix. The decomposition is also unique: a matrix that is both symmetric and antisymmetric must equal its own negative and hence vanish.
Put and . All vector fields and their spatial partial derivatives below are evaluated at . The product rule for a dot product gives
Because the vector field has no explicit time dependence, the multivariable chain rule gives , where the Jacobian matrix has entries . Consequently
The first term measures the change of the curl sampled as the point moves; the second measures the change in the velocity vector used in the dot product.
To give the result explicitly in , define the directional derivative operator . Since
the same expression is
For example ; the other two terms expand in the same way. Thus only the first and second spatial partial derivatives of , together with the velocity and acceleration of the parametric curve, occur.
Use the given Cartesian coordinates and integrate with respect to first. Since is the derivative of , the double integral becomes
A direct antiderivative avoids any issue with the nonmonotonicity of on this interval:
The sign changes in make this cancellation possible even though is positive.
Substitute the partial derivatives obtained above. The first-order terms cancel exactly:
The transformed partial differential equation is therefore
In these characteristic coordinates, the mixed partial derivative is the only surviving term.

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