Explaining the Cross Product for Two Vectors

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Homework Help Overview

The discussion revolves around understanding the cross product of two vectors, specifically the relationship between the vectors involved and the angles they form. Participants are exploring the properties of the cross product and its implications in vector mathematics.

Discussion Character

  • Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to clarify the reasoning behind the properties of the cross product, particularly its perpendicularity to the vectors involved. Questions about the angle between the resulting vector and the original vectors are raised, along with discussions on the scalar and dot products.

Discussion Status

The conversation is active, with participants providing insights and questioning each other's understanding of vector relationships. Some guidance has been offered regarding the nature of scalar products and orthogonality, but no consensus has been reached on specific terminology for non-orthogonal vectors.

Contextual Notes

There are indications of misunderstandings regarding the scalar product and its components, as well as the definitions of orthogonal and non-orthogonal vectors. Participants are navigating these concepts without a clear resolution.

member 731016
Homework Statement
Trying to find whether there is a vector that can solve the cross product between two vectors.
Relevant Equations
Cross product formula: A cross B = ABcos(theta)
Dot product formula: A dot B = ABsin(theta)
Hi!

For this problem,
1669772746431.png

The solution is,
1669772857290.png

However, I don't understand their solution at all. Can somebody please explain their reasoning in more detail.

Many thanks!
 
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If ##\mathbf{B} \times \mathbf{A} = \mathbf{C}##, what is the angle between ## \mathbf{B}## and ## \mathbf{C}## (assuming ##\mathbf{C} \neq 0##)?
 
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Thank for your reply! 90 degrees I think because the cross product of two vector is always perpendicular to the plane formed by the two vectors. Many thanks!
 
Thanks, I see now, so since B and C must be at 90 degrees for it to be a cross product then we take the scalar product to find whether there is any component of B on C or C on B. And the scalar product of all components must be zero if B and C are to be perpendicular. Do you please know what we call it when the B and C are not 90 degrees to each other?Many thanks!
 
Callumnc1 said:
Cross product formula: A cross B = ABcos(theta)
Dot product formula: A dot B = ABsin(theta)
Assuming θ is the angle between the vectors, you have that, ahem, crossed.
##||\vec A\times\vec B||=||\vec A||.||\vec B||.| \sin(\theta)|##
##||\vec A.\vec B||=||\vec A||.||\vec B||.| \cos(\theta)|##.

Callumnc1 said:
the scalar product of all components must be zero
That wording suggests a misunderstanding. The scalar product of two vectors is a single number. There is not a separate scalar product for each component.

Callumnc1 said:
what we call it when the B and C are not 90 degrees to each other?
Do you mean for two vectors in general? Maybe "non orthogonal"? Not aware of anything more concise.
 
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haruspex said:
Assuming θ is the angle between the vectors, you have that, ahem, crossed.
##||\vec A\times\vec B||=||\vec A||.||\vec B||.| \sin(\theta)|##
##||\vec A.\vec B||=||\vec A||.||\vec B||.| \cos(\theta)|##.That wording suggests a misunderstanding. The scalar product of two vectors is a single number. There is not a separate scalar product for each component.Do you mean for two vectors in general? Maybe "non orthogonal"? Not aware of anything more concise.
Thanks for your reply! Sorry, what did you please mean when you said that we cannot take the scalar product of each component. My textbooks shows:
1669781707883.png

Many thanks!
 
haruspex said:
Do you mean for two vectors in general? Maybe "non orthogonal"? Not aware of anything more concise.
Yeah, thanks I mean for any two vectors in general. I think cross product is orthogonal. Many thanks!
 
Callumnc1 said:
what did you please mean when you said that we cannot take the scalar product of each component
Sorry, I didn’t manage to express that quite correctly.
Your remark in post #4 implies you think that if ##\vec x=x_i\vec i+x_j\vec j+x_k\vec k## and ##\vec y=y_i\vec i+y_j\vec j+y_k\vec k## are orthogonal then each of the scalar products ##x_i\vec i.y_i\vec i##, ##x_j\vec j.y_j\vec j##, etc., must be zero. My point is that the scalar product ##\vec x.\vec y## is the sum of those individual products, and it is only that sum that needs to be zero.
 
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All goods, thanks for your reply!

If vectors x and y are not orthogonal, then we can't call it a cross product since the vectors are not at right angles. Is there a specific term used for non-orthogonal vectors?

Many thanks!
 
  • #10
Callumnc1 said:
Is there a specific term used for non-orthogonal vectors?
Not that I am aware of.
 
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  • #11
haruspex said:
Not that I am aware of.
Ok thank you!
 
  • #12
haruspex said:
Assuming θ is the angle between the vectors, you have that, ahem, crossed.
##||\vec A\times\vec B||=||\vec A||.||\vec B||.| \sin(\theta)|##
##||\vec A.\vec B||=||\vec A||.||\vec B||.| \cos(\theta)|##.
Pet peeve: The appropriate LaTeX for the dot product is \cdot. Norms are preferably typeset with \| or \lVert and \rVert.
$$
\vec A \cdot \vec B = \|\vec A\| \|\vec B\| \cos\theta
$$
 
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