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Convex Sets in Vector Spaces 📂Linear Algebra

Convex Sets in Vector Spaces

Definition

A subset MM of a vector space VV is called a convex set if the following equation holds:

λx+(1λ)yM,λ[0,1], x,yM \lambda x +(1-\lambda)y \in M,\quad \forall \lambda\in[0,1],\ \forall x,y \in M

Description

Verbally, this equation means "MM is a convex set implies that every vector lying between any two vectors in MM also belongs to MM". Also, if MM is a subspace, it is closed under addition and scalar multiplication, making it a convex set.

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