Math 2.0

Linear and multilinear algebra; matrix theory Definition

Multilinear map

Builds on Linear map

Definition

Let FF be a field, let n≥1n \ge 1, and let V1,…,VnV_1, \dots, V_n and WW be vector spaces over FF. A map f ⁣:V1×⋯×Vn→Wf \colon V_1 \times \cdots \times V_n \to W is multilinear when it is linear in each variable separately. That is, for each ii and each fixed choice of vj∈Vjv_j \in V_j for j≠ij \ne i, the map v↦f(v1,…,vi−1,v,vi+1,…,vn)v \mapsto f(v_1, \dots, v_{i-1}, v, v_{i+1}, \dots, v_n) is a linear map Vi→WV_i \to W.

Remarks

For n=1n = 1, a multilinear map is a linear map, and for n=2n = 2 it is a bilinear map. The dot product on ℝn\R^n and the matrix product Mn(F)×Mn(F)→Mn(F)M_n(F) \times M_n(F) \to M_n(F) are bilinear. The determinant is multilinear in the nn columns of a matrix. A multilinear map is in general not linear on the product space: f(2v1,2v2)=4f(v1,v2)f(2v_1, 2v_2) = 4 f(v_1, v_2) for a bilinear ff.

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