Math 2.0

Real functions Definition

Having a gradient

Builds on Differentiable function of several variablesEuclidean space

Definition

Let U⊆ℝnU \subseteq \mathbb{R}^n be open, let f ⁣:U→ℝf \colon U \to \mathbb{R}, let a∈Ua \in U, and let g∈ℝng \in \mathbb{R}^n. The function ff has the gradient gg at aa when lim⁡h→0f(a+h)−f(a)−g⋅h∥h∥=0,\lim_{h \to 0} \frac{f(a + h) - f(a) - g \cdot h}{\|h\|} = 0, where the limit is over h≠0h \ne 0 with a+h∈Ua + h \in U. Equivalently, ff is differentiable at aa and Df(a)(h)=g⋅hDf(a)(h) = g \cdot h for each h∈ℝnh \in \mathbb{R}^n.

Remarks

This definition states a property of ff, aa and gg. When it holds, the vector gg is unique, and it is the gradient ∇f(a)\nabla f(a). The same definition works in each real inner product space, with the inner product in place of the dot product.

Reading path

To understand this page from the ground up, read these 6 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. Differentiable function of several variables definition
  6. Having a gradient definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Gradient, Relationship with derivative
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WritingW1 stated
MSC26B12
DefinesGradient
UsesDifferentiable function of several variables, Euclidean space

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