Skip to content
← All questions

Why does u⊗vu \otimes v satisfy these distributive laws and scalar mobility rules?

The tensor product notation u⊗vu \otimes v satisfies distributive laws and scalar mobility rules because it is constructed via a bilinear map φ\varphi. Bilinearity implies linearity in each variable separately, leading to (a1u1+a2u2)⊗v=a1u1⊗v+a2u2⊗v(a_1u_1+a_2u_2)\otimes v=a_1u_1\otimes v+a_2u_2\otimes v, u⊗(b1v1+b2v2)=b1u⊗v1+b2u⊗v2u\otimes(b_1v_1+b_2v_2)=b_1u\otimes v_1+b_2u\otimes v_2, and a(u⊗v)=(au)⊗v=u⊗(av)a(u\otimes v)=(au)\otimes v=u\otimes(av).

Conditions

  • u,u1,u2u, u_1, u_2 belong to UU.
  • v,v1,v2v, v_1, v_2 belong to VV.
  • a,a1,a2,b1,b2a, a_1, a_2, b_1, b_2 are scalars in the field P\mathbb{P}.

Reasoning, step by step

  1. Recognize that the tensor product is derived from a bilinear map φ\varphi.
  2. Apply the definition of bilinearity to the first variable to get linearity in uu.
  3. Apply the definition of bilinearity to the second variable to get linearity in vv.
  4. Use scalar compatibility of bilinearity to move scalars across the tensor product.

Example

The video states: 'Because we know the tensor product is constructed via a bilinear function, the tensor product inherits bilinearity, and thus has the following properties.'

Common misconceptions

  • Assuming these properties are arbitrary rules rather than direct consequences of the underlying bilinear map.
  • Forgetting that scalars can be moved from one side of the tensor product to the other.

Watch the explanation

Connected concepts

Explore next

Related questions

Understand why

↗
Understand why

↗
Meet the concept

↗
Meet the concept

↗
Understand why

↗

Answers are generated from source material and independently checked. Consult the original video or creator if something is unclear.