TL;DR: Vector cross products are not like products of real numbers, for which there is an inverse operation to “undo” multiplication. I don’t think we should introduce cross products as a form of “multiplication” in introductory physics courses because it may reinforce the urge to “divide by a vector.” A better approach may be to formally present ways of unwrapping cross products consistent with Gibbsian vector algebra. But first, a geometric understanding is necessary.
In the last post in this series, I showed how to unwrap dot products. In this post, I will show how to unwrap cross products. As with dot products, we will see that there is no unique solution. There is an additional constraint on cross products that does not exist with dot products, and that is direction.
So what is a cross product? It is an operation that takes two vectors and produces a new object that we sometimes mistakenly call a vector. Actually, it is a pseudovector. It has the obligatory magnitude and direction (which, as you should understand by now, do not define what is and is not a vector) but it has the additional property that it behaves a certain way under a coordinate inversion. I will not address that in this post however. As with dot products, we begin by introducing some geometry which helps with visualization.
Consider two vectors and with the former being the unknown, their cross product, and the resulting object.
We want to find all vectors that satisfy this equation. The problem is that there are infinitely many of them.
While and are fixed, different combinations of and give values equal to . Let’s look at some geometric implications.
If we pick a value of then there are vectors with a magnitude, indeed THE magnitude, that satisfies the equation. These vectors lie in the plane perpendicular to . Picking a different value of produces a different vector in that plane.
If we pick a value of then there are two vectors making an angle consistent with having a value .
All solutions are constrained to lie in the plane perpendicular to . Since cross products can be associated with planes this might be geometrically significant. Notice that the tips of all the solution vectors lie on a line. This suggests that unwrapping a cross product might be related to the equation of a line.
By inspection, we can see that
must be a solution, where is a real number, and this is merely a multiple of .
But this is not the most general solution, because we could also add an arbitrary vector that is parallel to since this would not affect the original equation. Getting an arbitrary vector parallel to is as simple as forming a multiple where is an arbitrary real number. Accounting for a potential parallel component seems directly analogous to adding a constant of integration to an indefinite integral, something which introductory physics students seem content to accept.
Therefore the most general solution is
It is probably intuitive that unwrapping a cross product leads to another cross product, but what is the significance of ? We can solve for by plugging this solution into the original equation and doing a few lines of algebra. The same process shows that is irrelevant; that conclusion relies on a cross product of a vector with itself.
By the way, did you notice that this is the same equation we arrived at in the last post for unwrapping dot products? How can it be that unwrapping both dot products and cross products results in the same equation? If this doesn’t bother you, it should because it’s a huge hint of things to come.
Here is a GlowScript program written with Trinket that illustrates the geometry, and visualization thereof, involved in unwrapping a cross product. Embedding with Trinket lets users modify the code, run it to see the result of the modification, and then restore the original code. Experiment with it yourself.
In researching the literature for this post, I came across an interesting notational problem. Specifically, when we write , by definition we must account for the angle between the two vectors if they are not orthogonal (in which case accounting for the angle simply gives a factor of 1). If and are not orthogonal, and if we are only interested in the direction of the cross product, we need a way to notate the direction. In other words, we need to notate the direction of the cross product without implying the need to account for the angle between the vectors. Does that mean we need to write something like ? I don’t know, but it’s something I’m thinking about. Clear and unambiguous notation is important, especially in introductory physics.
In the next post in this series, I will show how to unwrap cross products algebraically and will demonstrate why a dot product is part of that process. I have never seen this explained before so I hope to make it worth your time to read.
As always, feedback is welcome. I am especially interested in feedback on the clarity of my writing.