Cross product vs dot product headache

In summary, the conversation discusses the concept of vectors and their applications in mathematics and physics. It touches on topics such as vector fields, the difference between ordinary and non-ordinary vectors, and the use of cross and dot products in calculations. The conversation also delves into the different ways of representing vectors and the importance of defining a basis for them.
  • #1
Billybob
2
0

Homework Statement


Show (A x B) dot (C x D) in terms of dot products only.


Homework Equations


A x B = ABsin(theta)
A dot B = AB cos (theta)


The Attempt at a Solution


Subbing both those formulas into the top I got
[ABsin(AtoB) times CDsin(CtoD) ] cos(between the two resultant vectors)

Yet then when I try to prove it, plugging in random numbers for the four beginning vectors, it doesn't come out right... any help?
 
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  • #2
I don't think that is what the question is wanting you to do. I'm pretty sure they want you to prove Lagrange's Identity;

[tex](\vec{A} \times \vec{B}) \cdot (\vec{C} \times \vec{D})= (\vec{A} \cdot \vec{C})(\vec{B} \cdot \vec{D})-(\vec{B} \cdot \vec{C})(\vec{A} \cdot \vec{D})[/tex]

by decomposing each vector into its components (eg. [itex]\vec{A}=(A_x,A_y,A_z))[/itex] and carrying out the cross products and dot product and then rearranging terms to show that it equals the above expression.
 
  • #3
Question from a multivariable calc newbie.
I don't see how (A subx, Asuby, Asubz) is a vector. That is a point 3D space.
This is a vector,
(A1subx, A1suby, A1subz, A2subx, A2suby, A2subz) plus all the infinite vectors that are parallel with it. Yet I always see vectors with three variables not six. Is that because you can assume it is coming from the origin?
So in that case, you would never need more than one point to define a vector in 3D space?
 
  • #4
Hi Billybob! :smile:
Billybob said:
Show (A x B) dot (C x D) in terms of dot products only.

Homework Equations


A x B = ABsin(theta)
A dot B = AB cos (theta)

You left out the triple product identity … (A x B). E = (E x A).B :wink:
rockyshephear said:
Is that because you can assume it is coming from the origin?
So in that case, you would never need more than one point to define a vector in 3D space?

Hi rockyshephear! :smile:

Yes!

Technically, parallel vectors are the same

a vector only has direction and magnitude.

(I know we say force is a vector, and obviously force also has a line of application, which does matter when we calculate torques, though not when we calculate linear components … but calling force a vector is technically a bit of an understatement :wink:)
 
  • #5
Thanks Tiny-Tim. You get an extra drumstick for seeing that I'm really getting it...a bit anyway. :)
Question 1
What I'm working at, my long term goal, is a deeper appreciation of Maxwell's Equations. They're good to the last drop. ha!
So an electric field is a bunch of vectors that nobody really knows where they're at in 3D space?
Question 2
Is it difficult to do cross product and dot product calculations if you are NOT assuming that the origin is the start of your vectors and you actually have two defined points for each vector?

R
 
  • #6
Oh and Question 3
Since you only need one point and the origin to define a vector, are there a million ways to write a vector? I've seen a few
(x1, x2, x3)
(3i hat, 4j hat 1k hat)
(x, y, z)

(3i hat, 4j hat 1k hat) I like this one best because it give exact position of the point. The others do not.
I would think that there would always be a ref to each coord plane for a vector to be defined. What does (x1, x2, x3) mean?

Thx
 
  • #7
Hi Rocky! :smile:
rockyshephear said:
So an electric field is a bunch of vectors that nobody really knows where they're at in 3D space?

No an electric field is a vector field … a different ordinary vector (ie just a direction and a magnitude) at each point. :wink:
Is it difficult to do cross product and dot product calculations if you are NOT assuming that the origin is the start of your vectors and you actually have two defined points for each vector?

Cross product and dot product only work for "ordinary" vectors :smile:
rockyshephear said:
Since you only need one point and the origin to define a vector, are there a million ways to write a vector? I've seen a few
(x1, x2, x3)
(3i hat, 4j hat 1k hat)
(x, y, z)

(3i hat, 4j hat 1k hat) I like this one best because it give exact position of the point. The others do not.

(x1, x2, x3) and (x, y, z) both presume that a basis (of three unit vectors) has already been specified (and then the x1 or y etc is just any number).

(3i hat, 4j hat 1k hat) is wrong, I'm afraid …

it makes no sense … you have to write 3i hat + 4j hat + k hat.
 
  • #8
One last thing then I'll leave you alone for a while.
You said "ordinary vectors". What is the difference between an ordinary one (ordinate? or trite?) and a non-ordinary one?
 
  • #9
rockyshephear said:
One last thing then I'll leave you alone for a while.
You said "ordinary vectors". What is the difference between an ordinary one (ordinate? or trite?) and a non-ordinary one?

ah, i was calling the official vector, with just magnitude and direction, an "ordinary" vector …

a vector with a line of application added is often also called a vector, but it should really have a longer name … I think of it as a vector-with-bells-on :biggrin:
 
  • #10
Well, I lied. lol
So a vector field IS, as I have said, a field of vectors, each of which is a vector, as a single vector is a vector. No distinction except there are many of them and all together they give a pictogram of the motion of particles, etc.
Thanks for all your time answer my questions.
R
 

FAQ: Cross product vs dot product headache

What is the difference between cross product and dot product?

The cross product and dot product are both mathematical operations used in vector algebra. The main difference between them is that the cross product produces a vector as a result, while the dot product produces a scalar.

When should I use the cross product vs the dot product?

The cross product is useful for finding the direction of the resulting vector when two vectors are multiplied, and for calculating areas and volumes. The dot product is useful for finding the angle between two vectors and for determining if two vectors are perpendicular or parallel.

How do I calculate the cross product and dot product?

To calculate the cross product of two vectors, you must first find the determinant of a 3x3 matrix made up of the components of the two vectors. To calculate the dot product, you simply multiply the corresponding components of the two vectors and then add them together.

Can the cross product and dot product be applied to any type of vector?

The cross product and dot product can only be applied to vectors in three-dimensional space. They cannot be applied to vectors in other dimensions, such as two-dimensional or four-dimensional space.

What are some real-world applications of the cross product and dot product?

The cross product and dot product have various applications in physics, engineering, and computer graphics. Some examples include calculating torque and angular momentum in physics, determining the direction and intensity of magnetic fields in engineering, and performing 3D transformations in computer graphics.

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