Kleppner/Kolenkow Vector Problem

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Discussion Overview

The discussion revolves around a vector decomposition problem involving an arbitrary vector ##\vec {A}## and a unit vector ##\hat {n}##. Participants explore different approaches to demonstrate the relationship ##\vec {A} = (\vec{A} \cdot \hat {n})\hat{n} + (\hat {n} \times \vec {A}) \times \hat {n}##, focusing on the theoretical and mathematical aspects of vector operations, including the dot and cross products.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant presents their approach to the problem, breaking down the vector into horizontal and vertical components using geometric interpretations of the dot and cross products.
  • Another participant suggests an alternative method using the definitions of the cross product and dot product to derive the relationship, indicating that it leads to the same conclusion.
  • A later reply questions the clarity of the difference between the two approaches, suggesting a potential misunderstanding or lack of distinction in the methods used.
  • One participant clarifies their understanding of the mathematical definitions of the dot and cross products, emphasizing their equivalence to the geometric interpretations.
  • Another participant acknowledges a misunderstanding regarding the formulas for the components of the vectors, indicating a need for further clarification.

Areas of Agreement / Disagreement

Participants express differing views on the methods used to approach the problem, with some favoring the geometric interpretation while others prefer the algebraic definitions. The discussion remains unresolved regarding the best approach to demonstrate the vector relationship.

Contextual Notes

Some participants express uncertainty about the use of the triple product and its implications, as well as the definitions of vector operations, which may affect their understanding of the problem.

Cosmophile
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Let ##\vec {A}## be an arbitrary vector and let ##\hat {n}## be a unit vector in some fixed direction. Show that [tex]\vec {A} = (\vec{A} \cdot \hat {n})\hat{n} + (\hat {n} \times \vec {A}) \times \hat {n}.[/tex]

Here is my attempt, which I do believe is fine; I just want to know if there is a better way to approach the problem:

The first term, ##(\vec{A} \cdot \hat {n})\hat{n}## is a new vector ##\vec {C}## with magnitude ##A \cos \theta## in the ##\hat {n}## direction. For the second term, I simply did the operations from left-to-right, first getting ##\vec {C} = ( \hat {n} \times \vec {A})##, which if looking down on the plane made by ##\vec {A}## and ##\hat {n}##, would point upwards out of the page (I drew ##\vec {A} to be above \hat {n}##). Then, I took ##\vec {C} \times \hat {n}## and called this new vector ##\vec {D}## which has a magnitude ##A \sin \theta## and points in a direction ##\hat d##, which is perpendicular to ##\hat {n}##. So, I end up with [tex]\vec {A} = A(\cos \theta \hat {n} + \sin \theta \hat{d}).[/tex]

So, I've shown that the statement ##\vec {A} = (\vec{A} \cdot \hat {n})\hat{n} + (\hat {n} \times \vec {A}) \times \hat {n}## just breaks ##\vec {A}## up into its horizontal and vertical components. At least, that's what I make of my work. What do you guys think?

Thanks in advance!
 
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I should say that, while I've heard of the triple product, I intentionally didn't use it because (1) it hasn't been taught yet in my book and (2) I don't truly know what it means. I figured there had to be another way to do the problem, so I sought it out.
 
Looks good.

The main alternative is to use the definitions of the cross product and the dot product to show that ##(\hat n\times\vec A)\times\hat n =\vec A-(\vec A\cdot\hat n)\hat n##.
 
Sorry, I'm not sure I see the difference between what we are saying.
 
The definitions I had in mind are these formulas:
\begin{align*}
&\vec x\times\vec y =(x_2y_3-x_3y_2,x_3y_1-x_1y_3,x_1y_2-x_2y_1)\\
&\vec x\cdot\vec y=\sum_{i=1}^3 x_i y_i.
\end{align*} You didn't use either of these directly. Instead you used two results that can be considered equivalent definitions: If ##\theta## denotes the angle between the vectors, then ##\vec x\cdot\vec y## is equal to ##|\vec x||\vec y|\cos\theta##, and ##\vec x\times\vec y## is the vector of magnitude ##|\vec x||\vec y|\sin\theta## in the direction perpendicular to both ##\vec x## and ##\vec y## identified by the right-hand rule.
 
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Oh, I see! Sorry, I was thinking of the ##AB \cos \theta## and ##AB \sin \theta## formule.
 

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