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If all partial derivatives exist on a neighbourhood and are continuous at a point, then the map is totally differentiable there with Jacobian derivative
Statement
Let be open and let . Suppose every partial derivative exists on a neighbourhood of and is continuous at . Then is totally differentiable at , and is the linear map with matrix .
Facts & Assumptions
Given: The stated neighbourhood existence and continuity hypotheses for all vector partial derivatives.
Coordinate-by-coordinate increments stay inside a Euclidean ball and telescope the total increment (Small coordinate-by-coordinate increments stay inside a Euclidean ball and telescope the total increment).
The vector mean-value inequality says on a real interval when the derivative norm is bounded by (The mean value inequality: if is continuous and differentiable on with , then ).
The space is the zero space, its standard basis is empty, and its Euclidean norm is zero (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension clause 5, The Euclidean inner product on ). Coordinate matrices represent linear maps by their finite coordinate sums, including empty rows or columns.
A Euclidean linear map preserves real linear combinations in all finite dimensions (A linear map in Euclidean coordinates). Total differentiability is the normwise epsilon-delta remainder estimate, including its explicit zero-dimensional cases (The total (Fréchet) derivative as the linear first-order approximation with remainder).
Proof
If , then , , and the only increment is . The unique linear map has , so for every admissible increment. It satisfies the normwise remainder estimate with any . There are no coordinate directions; is the empty-column matrix of . Thus the conclusion holds without dividing by or invoking a punctured limit at an isolated point.
If and , every value of is the unique zero vector. The unique linear map therefore leaves zero remainder for every increment, and its matrix, like , has zero rows. This proves the conclusion directly, without applying the positive-codomain vector mean-value inequality. For the rest of the proof assume .
Choose a ball around on which the partial derivatives exist. Given , continuity at gives a smaller ball on which every .
For in that smaller ball, [L1] writes the increment as coordinate segments. On each segment apply [L2] to the one-variable map obtained after subtracting the fixed linear term ; its derivative norm is at most .
Summing the segment bounds gives . Since is arbitrary, this verifies the normwise remainder condition and is . Together with the two zero-dimensional cases this proves the full Statement.
Depends on
Small coordinate-by-coordinate increments stay inside a Euclidean ball and telescope the total increment
Directional derivatives and partial derivatives of a map
The Jacobian matrix of partial derivatives and the gradient in the scalar-valued case
The total (Fréchet) derivative as the linear first-order approximation with remainder
The mean value inequality: if is continuous and differentiable on with , then
A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions
Cauchy-Schwarz with its equality case, the triangle inequality for , the parallelogram law and polarisation
A linear map in Euclidean coordinates
The Euclidean inner product on
The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension