The tensor product and its motivation

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Discussion Overview

The discussion revolves around the concept of the tensor product, its definition, and the motivations behind its development. Participants explore its mathematical properties, applications in vector spaces and modules, and its role in bilinear operations.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification

Main Points Raised

  • Some participants describe the tensor product as the "best" notion of multiplication for vector spaces or modules, suggesting that it serves as a foundation for defining other products of vectors.
  • Others explain that the tensor product is a universal bilinear operation, meaning that any bilinear operation can be derived from it through a specific mapping process.
  • One participant emphasizes that the tensor product allows for the linearization of bilinear maps, which is viewed as a method to simplify handling these mathematical structures.
  • A participant provides an example of the tensor product using vectors and describes its action on 1-forms, illustrating its practical application.

Areas of Agreement / Disagreement

Participants express varying perspectives on the definition and motivation of the tensor product, indicating that multiple competing views remain without a consensus on a singular explanation.

Contextual Notes

Some claims about the tensor product's properties and applications depend on specific definitions and contexts, which are not fully resolved in the discussion.

Terilien
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could someone please explain to me what the tensor product is and why we invented it? most resources just state it without listing a motivation.
 
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It is the "best" notion of multiplication for vector spaces or modules. Any other notion of a "product" of vectors can be defined by doing something to the tensor product of the vectors.
 
Last edited:
a product is an operation which is distributive over addition. we call these bilinear operations.

a tensor product is a universal bilinear ooperatioin such that any other biklinear operation is derived from it.

i.e. if G,H are two abelian groups, there is a bilinear map GxH-->GtensH such that f=or any other bilinear map GXH-->L, THERE IS A factorizATION OF THIS MAP via GxH-->GtensH-->L.
another point f view is that the tensor product is a way of making bilinear maps linear. i.e. the factoring map GtensH-->L above is actually linear.

linearizing things is always considered a way of making them easier to handle.
 
Terilien said:
could someone please explain to me what the tensor product is and why we invented it? most resources just state it without listing a motivation.
It appears that this topic is coming up a lot.

The tensor product is a way to combine two tensors to obtain another tensor. Suppose A and B are two vectors and A is the tensor product of the two. Then the tensor product is expressed as (Note: The symbol of the tensor product is an x surrounded by a circle. Since I don't have that symbol at my disposal I will use the symbol "@" instead.)

C = A@B

The meaning of this expression comes from the action of the tensor C on two 1-forms, "m" and "n". This is defined as

C(m,n) = A@B(m,n) = A(m)B(n)


Best wishes

Pete
 
Last edited:

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