Math 2.0

Functional analysis Definition

Gateaux derivative

Builds on Normed vector spaceContinuous linear mapDirectional derivativeFréchet derivative

Definition

Let 𝕂\mathbb{K} be ℝ\R or ℂ\C, and let XX and YY be normed vector spaces over 𝕂\mathbb{K}. Let U⊆XU \subseteq X be open, let f ⁣:U→Yf \colon U \to Y, let x∈Ux \in U and let h∈Xh \in X. The Gateaux differential of ff at xx in the direction hh is the limit df(x;h)=lim⁡t→0f(x+th)−f(x)t,df(x; h) = \lim_{t \to 0} \frac{f(x + t h) - f(x)}{t}, taken over t∈𝕂∖{0}t \in \mathbb{K} \setminus \set{0}, when this limit exists in YY. The map ff is Gateaux differentiable at xx if df(x;h)df(x; h) exists for every h∈Xh \in X and h↦df(x;h)h \mapsto df(x; h) is a continuous linear map X→YX \to Y. This map is the Gateaux derivative of ff at xx.

Remarks

For X=ℝnX = \R^n and Y=ℝY = \R, df(x;h)df(x; h) is the directional derivative of ff along hh. Some authors do not ask h↦df(x;h)h \mapsto df(x; h) to be linear or continuous. The definition works without change for locally convex spaces. If ff has a Fréchet derivative Df(x)Df(x), then ff is Gateaux differentiable at xx with df(x;h)=Df(x)hdf(x; h) = Df(x) h.

Example: let HH be a real Hilbert space and f(x)=∥x∥2f(x) = \norm{x}^2. Then f(x+th)=∥x∥2+2t⟨x,h⟩+t2∥h∥2f(x + t h) = \norm{x}^2 + 2t \ip{x}{h} + t^2 \norm{h}^2, so df(x;h)=2⟨x,h⟩df(x; h) = 2\ip{x}{h}, which is continuous and linear in hh.

Non-example: on ℝ2\R^2, let f(x,y)=x3/(x2+y2)f(x, y) = x^3 / (x^2 + y^2) and f(0,0)=0f(0, 0) = 0. For h=(a,b)≠0h = (a, b) \neq 0, f(ta,tb)/t=a3/(a2+b2)f(t a, t b) / t = a^3 / (a^2 + b^2), so df(0;h)df(0; h) exists for every hh. But h↦a3/(a2+b2)h \mapsto a^3 / (a^2 + b^2) is not linear, so ff is not Gateaux differentiable at 00.

A Gateaux differentiable map need not be Fréchet differentiable. On ℝ2\R^2, let g(x,y)=1g(x, y) = 1 when y=x2y = x^2 and (x,y)≠0(x, y) \neq 0, and g=0g = 0 elsewhere. Each line through 00 meets the parabola in at most one point other than 00, so dg(0;h)=0dg(0; h) = 0 for all hh. But gg is not continuous at 00.

Reading path

To understand this page from the ground up, read these 10 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. Continuous linear map concept
  2. Euclidean space object
  3. Function concept
  4. Normed vector space concept
  5. Total derivative concept
  6. Function of several variables concept
  7. Fréchet derivative concept
  8. Partial derivative concept
  9. Directional derivative concept
  10. Gateaux derivative definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Gateaux_derivative
About this page
TagPDXR52YGPD
URIm2://PDXR52YGPD
Kinddefinition
WritingW0 stub
MSC46G05, 58C20
DefinesGateaux derivative
UsesNormed vector space, Continuous linear map, Directional derivative, Fréchet derivative
Changed2 November 2026

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