Vector Addition and Magnitudes: Finding Theta

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Homework Help Overview

The discussion centers around the relationship between the magnitudes of the sum and difference of two vectors, specifically exploring how this relationship can imply that the angle theta between the vectors is equal to pi/2. Participants express confusion regarding the implications of vector magnitudes and angles.

Discussion Character

  • Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants discuss using dot products and vector components to analyze the magnitudes of the sum and difference of vectors. There is an exploration of how to set up the equations based on the equality of these magnitudes and what that implies for theta.

Discussion Status

Some participants have offered guidance on using vector definitions and properties, while others reiterate the original question about demonstrating that theta equals pi/2. Multiple interpretations of the problem are being explored, and there is a mix of attempts to clarify the mathematical relationships involved.

Contextual Notes

There is an indication that participants are navigating through assumptions about vector properties and the implications of using coordinate systems versus abstract vector definitions. Some participants express a desire for clarity on the underlying principles without fully resolving the problem.

spandan
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If |vector A + vector B| (magnitude of sum of vectors A and B) = |vector A + vector B| (magnitude of difference between vectors A and B), how can we show that theta is equal to pi/2?

I know that vector A - vector B can be equal to the sum of vectors A and B if vector B is a null vector, but with magnitudes, angles, I'm all confused.

Please help...
 
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If you are allowed to use dot products you can use the fact the magnitude of a vector (such as the resultant vectors for the sum and difference of A and B) equals the square root of the dot product.

Provide the vectors with components:

A = <a1, a2>
B = <b1, b2>

So the magnitudes of the sum and diff resultant vectors would be

mag_sum = Sqrt[(a1+b1)^2 + (a2+b2)^2]
mag_diff = Sqrt[(a1-b1)^2 + (a2-b2)^2]

You can then use the fact that mag_sum = mag_diff and expand the squared terms, etc... and arrive at a very simple equation of the form,

X+Y = -(X+Y)

From there, [assuming you recognize (X+Y) :wink:...] and using the definition of "dot product" as |A||B|*Cos(theta), it's easy to see what Cos(theta), and therefor theta itself, must be for the equality to be true.

Probably a little more involved than what's necessary... but hey - it works :smile:

jf
 
Welcome to PF!

spandan said:
If |vector A + vector B| (magnitude of sum of vectors A and B) = |vector A + vector B| (magnitude of difference between vectors A and B), how can we show that theta is equal to pi/2?

I know that vector A - vector B can be equal to the sum of vectors A and B if vector B is a null vector, but with magnitudes, angles, I'm all confused.

Please help...

Hi spandan! Welcome to PF! :smile:

jackiefrost said:
Probably a little more involved than what's necessary... but hey - it works :smile:

Yes it does! :biggrin: … but the joy of vectors is that you can often prove things without using coordinates …

in this case, |A + B|2 = (A + B).(A + B) (by definition of || :wink:),

and |A - B|2 = (A - B).(A - B) …

so |A + B| = |A - B| if … ? :smile:
 
No, how do we showw that theta is equal to pi/2?

Of course, pi = 3.14159...
 
spandan said:
No, how do we showw that theta is equal to pi/2?

Of course, pi = 3.14159...

...265358979... :rolleyes:

π/2 = 90º :biggrin:
 

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