Math 2.0

Real functions Definition

Gradient

Builds on Differentiable function of several variablesPartial derivativeEuclidean space

Definition

Let U⊆ℝnU \subseteq \mathbb{R}^n be open, let f ⁣:U→ℝf \colon U \to \mathbb{R}, and let a∈Ua \in U be a point at which ff is differentiable. The gradient of ff at aa is the unique vector ∇f(a)∈ℝn\nabla f(a) \in \mathbb{R}^n such that Df(a)(v)=∇f(a)⋅vfor each v∈ℝn,Df(a)(v) = \nabla f(a) \cdot v \quad \text{for each } v \in \mathbb{R}^n, where ⋅\cdot is the dot product of Euclidean space. In coordinates, it is the vector of partial derivatives ∇f(a)=(∂f∂x1(a),…,∂f∂xn(a)).\nabla f(a) = \left(\frac{\partial f}{\partial x_1}(a), \dots, \frac{\partial f}{\partial x_n}(a)\right). Other notations are grad⁡f(a)\operatorname{grad} f(a) and ∇f(a)\nabla f(a), where ∇\nabla is the del operator.

Remarks

The vector exists and is unique because each linear map ℝn→ℝ\mathbb{R}^n \to \mathbb{R} is v↦w⋅vv \mapsto w \cdot v for exactly one w∈ℝnw \in \mathbb{R}^n. For f(x,y)=x2+3xyf(x, y) = x^2 + 3 x y, the gradient is ∇f(x,y)=(2x+3y, 3x)\nabla f(x, y) = (2x + 3y, \, 3x). A gradient is a column vector, and the derivative Df(a)Df(a) is the row vector of the same entries. Some books do not make this distinction. The map a↦∇f(a)a \mapsto \nabla f(a) is a vector field on UU, the gradient field of ff.

Reading path

To understand this page from the ground up, read these 7 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
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  1. Euclidean space object
  2. Function concept
  3. Function of several variables concept
  4. Limit of a function of several variables concept
  5. Partial derivative concept
  6. Differentiable function of several variables definition
  7. Gradient definition

Where this leads

71 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Gradient, Definition
  2. Web https://en.wikipedia.org/wiki/Gradient, Cartesian coordinates
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