Linearity in the Vector triple product

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SUMMARY

The discussion focuses on the vector triple product, specifically the expression ## x \times (y \times z) ##, and its linearity properties. Participants clarify that the left-hand side is a linear function of vector x, meaning that scaling x by a factor results in the same scaling of the triple product. Theorem 4.2.5 is referenced, which defines a linear function from ℝ³ to ℝ, emphasizing that linear scalar-valued functions of x can be expressed as combinations of dot products with vectors y and z. Examples are requested to illustrate these concepts further.

PREREQUISITES
  • Understanding of vector operations, specifically cross and dot products.
  • Familiarity with linear functions and their properties in vector spaces.
  • Knowledge of Theorem 4.2.5 regarding linear mappings from ℝ³ to ℝ.
  • Basic grasp of scalar and vector multiplication in linear algebra.
NEXT STEPS
  • Study the properties of vector triple products in detail, focusing on their geometric interpretations.
  • Learn about linear transformations and their representations in linear algebra.
  • Explore examples of linear scalar-valued functions and their applications in vector spaces.
  • Review Theorem 4.2.5 and practice deriving linear mappings using various vector examples.
USEFUL FOR

Students and educators in mathematics, particularly those studying linear algebra and vector calculus, as well as professionals needing to apply these concepts in physics or engineering contexts.

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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