What is the relationship between Dot and cross product vector?

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Discussion Overview

The discussion revolves around the mathematical relationship between the dot product and cross product of vectors, specifically exploring an equation involving their magnitudes squared. Participants are attempting to clarify the problem, share their approaches, and seek assistance with the calculations.

Discussion Character

  • Homework-related
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about the relationship between the squared magnitudes of the dot and cross products, attempting to solve a problem but arriving at an incorrect answer.
  • Another participant suggests using the definitions of the dot and cross products in terms of the angle between the vectors, indicating that the absolute values must be considered, especially for cosine when the angle exceeds 90 degrees.
  • A later reply clarifies that the "numbers" mentioned were hypothetical and emphasizes the importance of absolute values in the calculations.
  • One participant proposes a formula involving the squared magnitudes of the dot and cross products, suggesting a simplification that leads to a potential answer.
  • Another participant questions the validity of the proposed equation and encourages the use of previously suggested formulas to derive the results.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the correct approach or solution to the problem. Multiple competing views and methods are presented, with some participants challenging the reasoning of others.

Contextual Notes

There are unresolved assumptions regarding the definitions of the vectors and the specific problem statement. The discussion includes various interpretations of the mathematical relationships involved.

Dx
[SOLVED] dot and cross product vector

Hi!
The quantity (absolute value vectorA x vectorB close absolute value)^2 + (absolute value vectorA * vectorB close absolute value)^2 is equivalent to:

I am confused, a close example used numbers in place of the vectors so I gave it a try in a book I have. I know because its absolute that the numbers would be positive then all I would have to do is square those values and then solve. Nope! I must have done something wrong because it doesn't match any of the answers found. I thought the answer was vectorA^2 + 2AvectorA * vectorB but I really guessed so I am not to sure what to do for this problem. Anyone want to help me please?
Dx :wink:
 
Last edited by a moderator:
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I know because its absolute that the numbers would be positive then all I would have to do is square those values and then solve.

I think the fact that you don't even tell us what "numbers" you are talking about indicates that you are not reading the problem very closely.

Perhaps it would be simplest to use the fact that, for cross product, |u x v|= |u||v|sin(theta), where theta is the angle between u and v, and, for dot product, u*v= |u||v|cos(theta).

|u x v|+ |u*v|= |u||v|(sin(theta)+ |cos(theta)|)

You have to keep the absolute value on cosine since, if the angle between the vectors is greater than 90 degrees, it will be negative.

I don't know why you are talking about squaring: the problem as you gave it said nothing about squaring.
 
HOI! I re-edited my question, it does have ^2 in my problem now. The "NUMBERS" I referred to were generic, made-up, don't exist simply because the problem did not define the vectors.
I always understood that if you (eg; |-1| = 1) had an absolute of anything it turns negatives to positive numbers. Can you show me what your talking about below with the |cos(theta) being greater than 90 degrees which would yeild a negative number[?]
I appreciate your help.
Dx :wink:
 
Last edited by a moderator:
How about this?

|u x v|^2+ |u*v|^2= |u||v|-(u*v)^2 + |u*v|^2
Then cancel out the dot products leaving |u||v| as my answer.
What do you think?
Dx :wink:
 
Originally posted by Dx
Hi!
The quantity (absolute value vectorA x vectorB close absolute value)^2 + (absolute value vectorA * vectorB close absolute value)^2 is equivalent to:

|A*B| = |A||B|cos θ
|AxB| = |A||B|sin θ

therefore

|A*B|2 + |AxB|2 = |A|2|B|2(cos2 θ + sin2 θ) = |A|2|B|2
 
How about this?

|u x v|^2+ |u*v|^2= |u||v|-(u*v)^2 + |u*v|^2
Then cancel out the dot products leaving |u||v| as my answer.
What do you think?

What reason do you have for thinking that equation is true?
Which part is |u x v|^2 and which part is |u*v|^2?

You might do best by taking the formulas that both Lethe and I suggested and squaring them.
 

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