Linearity in the Vector triple product

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Discussion Overview

The discussion revolves around the vector triple product, specifically the expression ## x \times (y \times z) ## and its properties related to linearity. Participants seek clarification on the concept of linear functions in the context of vectors, the implications of Theorem 4.2.5, and the relationships between scalar and vector operations within the triple product framework.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant seeks to understand how the left-hand side of the vector triple product is a linear function of ## x ##, asking for a detailed explanation of linearity in vectors.
  • Another participant explains that multiplying ## x ## by a scalar results in the triple product being multiplied by the same scalar, suggesting that linearity applies to various mathematical objects.
  • A participant questions the relationship between the vector and scalar operations in the equation ## X \times (Y \times Z) = (X \cdot a)Y + (X \cdot b)Z ##, expressing confusion over the differing types of multiplication on each side.
  • There is a request for clarification on how Theorem 4.2.5 relates to the equation presented, with emphasis on the concept of linearity.
  • Another participant points out that the equation referenced does not include the variables ## a ## and ## b ##, noting that the scalar product results in a vector when multiplied by another vector.
  • A later post mentions the appearance of linearity in another context, asking for further explanation regarding the highlighted text and the role of other vectors formed from ## Y, Z, Y \times Z ##.

Areas of Agreement / Disagreement

Participants express varying levels of understanding regarding the linearity of the vector triple product and its implications. There is no consensus on the relationship between the scalar and vector operations, nor on how to relate Theorem 4.2.5 to the discussed equations.

Contextual Notes

Participants reference specific theorems and equations without providing complete definitions or derivations, leading to potential gaps in understanding. The discussion includes assumptions about the properties of linear functions and their application to vectors that remain unresolved.

PcumP_Ravenclaw
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Dear all, I am trying to understand the vector triple product.
## x\times (y \times z) ##
As the vector triple product of x,y and z lies in the plane ## (y \times z) ## the vector ## x\times (y \times z) ## can be written as a linear combination of the vectors ## \pm y ## & ## \pm z##

In the passage attached, can anyone please explain this " As the left-hand side is a linear-function of x so is the right-hand side and this means that α and β are linear scalar valued functions of x"

Please show how the left-hand side is a linear function of x. What does linearity in vectors mean? Can anyone please explain in a bit of detail.

Also, what does Linear scalar valuesd functions of x mean? Please explain Theorem 4.2.5. To my understanding, this function changes a vector into a scalar. What does it mean to say ## f : ℝ^3 → ℝ ## is linear. Please give examples.

Danke..
 

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PcumP_Ravenclaw said:
Please show how the left-hand side is a linear function of x. What does linearity in vectors mean? Can anyone please explain in a bit of detail.
If you multiply x by 5 (for example), the triple product gets multiplied by 5 as well. If you write x as (a+b) and calculate the triple-product with them individually, you can add the result to get the total result again.
This looks nicer when written as equations, but I'm sure you can find those in your textbook. Linearity is a very general concept, it does not matter if you have scalars, vectors or other mathematical objects.
 
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In the equation ## X \times (Y \times Z) = (X \cdot a)Y + (X \cdot b)Z##. ## X ## is vector/cross multiplying ##(Y \times Z)## on the left-hand side but on the right-hand side it is scalar/dot multiplying so how is that possible. if it vector multiplies on the left it should also vector multiply on the right also, am I correct??

How do I relate theorem 4.2.5

## ƒ : ℝ^3 → ℝ ##, ## x \mapsto x \cdot a ##

with ## (X \cdot a)Y + (X \cdot b)Z ## ??

Danke..
 
Where does that equation come from and how is it related to 4.2.5?
 
The equation comes from the text I have attached. Theorem 4.2.5 is related to the equatino by linearity. I don't know how to relate them?? Maybe you can use examples to illustrate linearity.
 
That equation does not have a and b. For the left side, for example, x*z is a scalar, this scalar gets multiplied with the vector y and you have a vector again.
 
Linearity appears in another instance as well as attached. Please explain the highlighted text. What about the other vectors of X formed from ## Y,Z, Y \times Z ##.

Danke..
 

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