Math 2.0

Linear and multilinear algebra; matrix theory Definition

Linear combination

Builds on Vector space

Definition

Let FF be a field and let VV be a vector space over FF. Let v1,…,vk∈Vv_1, \dots, v_k \in V. A linear combination of v1,…,vkv_1, \dots, v_k is a vector of the form a1v1+a2v2+⋯+akvk,a_1 v_1 + a_2 v_2 + \cdots + a_k v_k, where a1,…,ak∈Fa_1, \dots, a_k \in F are the coefficients. For an arbitrary family (vi)i∈I(v_i)_{i \in I}, a linear combination is a sum ∑i∈Iaivi\sum_{i \in I} a_i v_i in which only finitely many coefficients aia_i are nonzero.

Remarks

The empty linear combination, with k=0k = 0, is the zero vector. The vector (3,5)(3, 5) is the linear combination 3e1+5e23 e_1 + 5 e_2 of the standard basis vectors of F2F^2. The set of all linear combinations of a family is its linear span. The matrix–vector product AxAx is a linear combination of the columns of AA, with the entries of xx as coefficients.

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Further reading

  1. Web https://en.wikipedia.org/wiki/Linear_combination, Definition
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