Math 2.0

Geometry Definition

Affine independence

Builds on Affine spaceLinear independenceAffine combination

Definition

Let FF be a field, let VV be a vector space over FF, and let PP be an affine space over VV. Let p0,…,pkp_0, \dots, p_k be points of PP. They are affinely independent if the vectors p1−p0,…,pk−p0p_1 - p_0, \dots, p_k - p_0 of VV are linearly independent.

Remarks

Example: in ℝ2\R^2, the points (0,0)(0,0), (1,0)(1,0), (0,1)(0,1) are affinely independent, since the vectors (1,0)(1,0) and (0,1)(0,1) are linearly independent. Non-example: the points (0,0)(0,0), (1,1)(1,1), (2,2)(2,2) are not, since (2,2)=2⋅(1,1)(2,2) = 2 \cdot (1,1). The condition does not depend on which point plays the role of p0p_0. An equivalent form: for all λ0,…,λk∈F\lambda_0, \dots, \lambda_k \in F with ∑iλi=0\sum_i \lambda_i = 0 and ∑iλi(pi−p0)=0\sum_i \lambda_i (p_i - p_0) = 0, all λi\lambda_i are 00. Another equivalent form: no pjp_j is an affine combination of the other points. In an affine space of dimension nn, at most n+1n + 1 points can be affinely independent.

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To understand this page from the ground up, read these 4 pages in order. The foundations come first.

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  1. Affine combination concept
  2. Affine space concept
  3. Linear independence concept
  4. Affine independence definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Affine_space
About this page
TagRERRK4RFZE
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Kinddefinition
WritingW0 stub
MSC51N10, 15A03
DefinesAffine independence
UsesAffine space, Linear independence, Affine combination

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