Math 2.0

statement theorem

Continuous partial derivatives imply differentiability

Statement

Let U⊆RnU \subseteq \mathbb{R}^n be open, let f ⁣:U→Rmf \colon U \to \mathbb{R}^m, and let a∈Ua \in U. Suppose that each partial derivative ∂fj/∂xi\partial f_j / \partial x_i exists at each point of UU, for 1≤i≤n1 \le i \le n and 1≤j≤m1 \le j \le m, and that each of them is continuous at aa. Then ff is differentiable at aa.

Remarks

If the partial derivatives exist on UU and are continuous on all of UU, then ff is differentiable on UU, and DfDf is continuous. So ff is of class C1C^1 on UU. The converse is false. The function f(x)=∥x∥2sin⁡(1/∥x∥)f(x) = \|x\|^2 \sin(1/\|x\|) for x≠0x \ne 0, with f(0)=0f(0) = 0, is differentiable on Rn\mathbb{R}^n, but its partial derivatives are not continuous at 00. Without continuity, the existence of the partial derivatives is not enough, see this counterexample.

Explanations

L1 human

The partial derivatives give a candidate for the derivative: the matrix of all ∂fj/∂xi\partial f_j / \partial x_i at aa. Continuity of the partial derivatives near aa is what makes this candidate a good linear approximation in all directions, and not only along the axes. In practice, this theorem is how you check differentiability: compute the partial derivatives and see that they are continuous.

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  1. Euclidean space object
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Sources

  1. Web https://en.wikipedia.org/wiki/Differentiable_function, Differentiability in higher dimensions
  2. Web https://en.wikipedia.org/wiki/Fr%C3%A9chet_derivative, Finite dimensions