10.13 Tensor Jacobian Matrix Notation Role
The Tensor Jacobian Matrix Notation Role explains how tensors and Jacobians interact in coordinate transformations.
Tensor Jacobian Matrix Notation Role is the function performed by writing the change-of-basis matrix explicitly as a matrix of partial derivatives of new coordinates with respect to old coordinates, a notation borrowed directly from multivariable calculus, which recasts the otherwise abstract linear coefficients of a change of basis as concrete rates of change between two coordinate systems. It serves as the bridge connecting the purely algebraic treatment of tensor transformation matrices to the differential-geometric setting in which coordinate changes are described by smooth functions rather than fixed linear coefficients alone.
The Notation Itself
Partial Derivatives as Matrix Entries
In Jacobian notation, each entry of the transformation matrix is written as the partial derivative of one new coordinate with respect to one old coordinate, replacing the purely symbolic matrix entry with an explicit expression drawn from calculus.
The Inverse Jacobian
Correspondingly, the inverse transformation matrix is written as the matrix of partial derivatives of old coordinates with respect to new coordinates, matching the algebraic inverse relation with an equally explicit calculus expression.
Why This Role Matters
Extending Linear Change of Basis to Nonlinear Coordinate Changes
While a purely linear change of basis has constant coefficients, many coordinate changes of practical interest, such as passing between Cartesian and curvilinear coordinates, are nonlinear functions of position, and the Jacobian notation allows the same tensor transformation formalism to apply by treating the coefficients as varying, position-dependent partial derivatives rather than fixed numbers.
Compatibility With the Chain Rule
Writing the transformation matrix as a Jacobian connects the tensor component transformation law directly to the ordinary chain rule of calculus, since contracting a Jacobian matrix with another Jacobian matrix, as required by the composition behavior of transformation matrices, reduces to the chain rule for partial derivatives of a composed coordinate change.
Consequences of Adopting Jacobian Notation
Position-Dependent Transformation Matrices
Because the entries of a Jacobian matrix are generally functions of position rather than constants, tensor transformation rules written in Jacobian notation apply pointwise, with a potentially different transformation matrix at every point of the space, in contrast to the constant matrix used for a purely linear change of basis.
Retaining All Algebraic Properties
Despite this added dependence on position, every algebraic property already established for transformation matrices, including the inverse relation and the composition behavior, continues to hold at each individual point, since at any fixed point the Jacobian matrix is simply a particular constant matrix satisfying the same algebraic requirements.
Foundation for Tensor Calculus on Curved Spaces
Adopting Jacobian notation for the transformation matrix is a necessary first step toward describing tensors on curved or curvilinear spaces, where the notion of a single global linear change of basis no longer applies but a local, pointwise Jacobian relating coordinate systems still does.
Schematic Representation
The diagram represents two curvilinear coordinate systems overlapping in the same space, with the Jacobian matrix providing the local, pointwise relationship between their coordinate directions.