Math 2.0

Real functions Definition

Higher partial derivatives

Builds on Partial derivative

Definition

Let U⊆ℝnU \subseteq \mathbb{R}^n be open, let f ⁣:U→ℝf \colon U \to \mathbb{R}, and let i,j∈{1,…,n}i, j \in \{1, \dots, n\}. Suppose that the partial derivative ∂f/∂xi\partial f / \partial x_i exists at each point of UU. The second partial derivative of ff with respect to xix_i and then xjx_j at a∈Ua \in U is ∂2f∂xj ∂xi(a)=∂∂xj(∂f∂xi)(a),\frac{\partial^2 f}{\partial x_j \, \partial x_i}(a) = \frac{\partial}{\partial x_j}\left(\frac{\partial f}{\partial x_i}\right)(a), when this partial derivative exists. It is also written fxixj(a)f_{x_i x_j}(a) or ∂j∂if(a)\partial_j \partial_i f(a). For i=ji = j, one writes ∂2f/∂xi2\partial^2 f / \partial x_i^2. By induction, a partial derivative of order k≥2k \ge 2 is a partial derivative of a partial derivative of order k−1k - 1: ∂kf∂xik⋯∂xi1=∂∂xik(∂k−1f∂xik−1⋯∂xi1)\dfrac{\partial^k f}{\partial x_{i_k} \cdots \partial x_{i_1}} = \dfrac{\partial}{\partial x_{i_k}} \left( \dfrac{\partial^{k-1} f}{\partial x_{i_{k-1}} \cdots \partial x_{i_1}} \right).

Remarks

In ∂2f/∂xj ∂xi\partial^2 f / \partial x_j \, \partial x_i the variable nearest to ff is differentiated first. In fxixjf_{x_i x_j} the variable written first is differentiated first. For f(x,y)=x3y2f(x, y) = x^3 y^2, one gets fxx=6xy2f_{xx} = 6 x y^2, fxy=fyx=6x2yf_{xy} = f_{yx} = 6 x^2 y and fyy=2x3f_{yy} = 2 x^3. If the second partial derivatives are continuous, then the order of differentiation does not matter, by Schwarz's theorem. Without continuity, the mixed partial derivatives can differ. The second partial derivatives at a point form the Hessian matrix.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Partial_derivative, Higher order partial derivatives
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