Math 2.0

Functional analysis Definition

Sublinear function

Builds on Vector space

Definition

Let XX be a vector space over ℝ\R. A sublinear function on XX is a map p ⁣:X→ℝp \colon X \to \R such that:

  1. p(tx)=t p(x)p(tx) = t\, p(x) for all real t>0t > 0 and all x∈Xx \in X (positive homogeneity).
  2. p(x+y)≤p(x)+p(y)p(x + y) \le p(x) + p(y) for all x,y∈Xx, y \in X (subadditivity).

Remarks

Every norm on XX is sublinear. For example, p(x)=∣x∣p(x) = \abs{x} on ℝ\R satisfies ∣tx∣=t∣x∣\abs{tx} = t\abs{x} for t>0t > 0 and ∣x+y∣≤∣x∣+∣y∣\abs{x + y} \le \abs{x} + \abs{y}. Every linear functional is sublinear, and so is p(x1,x2)=max⁡(x1,x2)p(x_1, x_2) = \max(x_1, x_2) on ℝ2\R^2. The map p(x)=x2p(x) = x^2 on ℝ\R is not sublinear: p(2⋅1)=4p(2 \cdot 1) = 4 but 2 p(1)=22\, p(1) = 2, so clause 1 fails. Clause 1 with t=2t = 2 and x=0x = 0 gives p(0)=2p(0)p(0) = 2p(0), so p(0)=0p(0) = 0; hence clause 1 also holds for t=0t = 0. A sublinear function pp with p(−x)=p(x)p(-x) = p(x) for all xx is exactly a seminorm.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Sublinear_function
About this page
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MSC46A22, 52A41
DefinesSublinear function
UsesVector space
Changed2 November 2026

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