βOrthogonalityβ is immensely important. A quick scan of your current environment will undoubtedly reveal numerous surfaces and edges that are perpendicular to each other (including the edges of this page). The dot product provides a quick test for orthogonality: vectors and are perpendicular if, and only if, .
Given two non-parallel, nonzero vectors and in space, it is very useful to find a vector that is perpendicular to both and . There is an operation, called the cross product, that creates such a vector. This section defines the cross product, then explores its properties and applications.
This definition can be a bit cumbersome to remember. After an example we will give a convenient method for computing the cross product. For now, careful examination of the products and differences given in the definition should reveal a pattern that is not too difficult to remember. (For instance, in the first component only 2 and 3 appear as subscripts; in the second component, only 1 and 3 appear as subscripts. Further study reveals the order in which they appear.)
A convenient method of computing the cross product starts with forming a particular matrix, or rectangular array. The first row comprises the standard unit vectors ,, and . The second and third rows are the vectors and , respectively. Using and from Example 11.4.2, we begin with:
This gives three full βupper left to lower rightβ diagonals, and three full βupper right to lower leftβ diagonals, as shown. Compute the products along each diagonal, then add the products on the right and subtract the products on the left:
It is not coincidence that in the preceding example; one can show using Definition 11.4.1 that this will always be the case. The following theorem states several useful properties of the cross product, each of which can be verified by referring to the definition.
We introduced the cross product as a way to find a vector orthogonal to two given vectors, but we did not give a proof that the construction given in Definition 11.4.1 satisfies this property. Theorem 11.4.4 asserts this property holds; we leave it as a problem in the Exercise section to verify this.
Property 5 from the theorem is also left to the reader to prove in the Exercise section, but it reveals something more interesting than βthe cross product of a vector with itself is .β Let and be parallel vectors; that is, let there be a scalar such that . Consider their cross product:
(by Property 3 of Theorem 11.4.4) (by Property 5 of Theorem 11.4.4).
We have just shown that the cross product of parallel vectors is . This hints at something deeper. Theorem 11.3.5 related the angle between two vectors and their dot product; there is a similar relationship relating the cross product of two vectors and the angle between them, given by the following theorem.
Note that this theorem makes a statement about the magnitude of the cross product. When the angle between and is 0 or (i.e., the vectors are parallel), the magnitude of the cross product is 0. The only vector with a magnitude of 0 is (see Property 9 of Theorem 11.2.15), hence the cross product of parallel vectors is .
The anticommutative property of the cross product demonstrates that and differ only by a sign β these vectors have the same magnitude but point in the opposite direction. When seeking a vector perpendicular to and , we essentially have two directions to choose from, one in the direction of and one in the direction of . Does it matter which we choose? How can we tell which one we will get without graphing, etc.?
Another wonderful property of the cross product, as defined, is that it follows the right hand rule. Given and in with the same initial point, point the index finger of your right hand in the direction of and let your middle finger point in the direction of (much as we did when establishing the right hand rule for the 3-dimensional coordinate system). Your thumb will naturally extend in the direction of . One can βpracticeβ this using Figure 11.4.7. If you switch, and point the index finder in the direction of and the middle finger in the direction of , your thumb will now point in the opposite direction, allowing you to βvisualizeβ the anticommutative property of the cross product.
There are a number of ways in which the cross product is useful in mathematics, physics and other areas of science beyond βjustβ finding a vector perpendicular to two others. We highlight a few here.
It is a standard geometry fact that the area of a parallelogram is , where is the length of the base and is the height of the parallelogram, as illustrated in Figure 11.4.8.(a). As shown when defining the Parallelogram Law of vector addition, two vectors and define a parallelogram when drawn from the same initial point, as illustrated in Figure 11.4.8.(b). Trigonometry tells us that , hence the area of the parallelogram is
Figure 11.4.10.(a) sketches the parallelogram defined by the vectors and . We have a slight problem in that our vectors exist in , not , and the cross product is only defined on vectors in . We skirt this issue by viewing and as vectors in the plane of , and rewrite them as and . We can now compute the cross product. It is easy to show that ; therefore the area of the parallelogram is .
(a)
(b)
Figure11.4.10.Sketching the parallelograms in Example 11.4.9
To show that the quadrilateral is a parallelogram (shown in Figure 11.4.10.(b)), we need to show that the opposite sides are parallel. We can quickly show that and . We find the area by computing the magnitude of the cross product of and :
This application is perhaps more useful in finding the area of a triangle (in short, triangles are used more often than parallelograms). We illustrate this in the following example.
We found the area of this triangle in Example 7.1.10 to be using integration. There we discussed the fact that finding the area of a triangle can be inconvenient using the ββ formula as one has to compute the height, which generally involves finding angles, etc. Using a cross product is much more direct.
We can choose any two sides of the triangle to use to form vectors; we choose and . As in the previous example, we will rewrite these vectors with a third component of 0 so that we can apply the cross product. The area of the triangle is
.
We arrive at the same answer as before with less work.
The three dimensional analogue to the parallelogram is the parallelepiped. Each face is parallel to the opposite face, as illustrated in Figure 11.4.13. By crossing and , one gets a vector whose magnitude is the area of the base. Dotting this vector with computes the volume of parallelepiped! (Up to a sign; take the absolute value.)
Note how this is the Triple Scalar Product, first seen in Theorem 11.4.4. Applying the identities given in the theorem shows that we can apply the Triple Scalar Product in any βorderβ we choose to find the volume. That is,
While this application of the Triple Scalar Product is interesting, it is not used all that often: parallelepipeds are not a common shape in physics and engineering. The last application of the cross product is very applicable in engineering.
Torque is a measure of the turning force applied to an object. A classic scenario involving torque is the application of a wrench to a bolt. When a force is applied to the wrench, the bolt turns. When we represent the force and wrench with vectors and , we see that the bolt moves (because of the threads) in a direction orthogonal to and . Torque is usually represented by the Greek letter , or tau, and has units of Nm, a Newtonβmeter, or ftlb, a footβpound.
We start by determining vectors for the force and lever arm. Since the lever arm makes a angle with the horizontal and is 2ft long, we can state that . Since the force vector is perpendicular to the lever arm (as seen in the left hand side of Figure 11.4.17), we can conclude it is making an angle of with the horizontal. As it has a magnitude of 10lb, we can state . Using Equation (11.4.3) to find the torque requires a cross product. We again let the third component of each vector be 0 and compute the cross product:
This clearly has a magnitude of 20 ft-lb. We can view the force and lever arm vectors as lying βon the pageβ; our computation of shows that the torque goes βinto the page.β This follows the Right Hand Rule of the cross product, and it also matches well with the example of the wrench turning the bolt. Turning a bolt clockwise moves it in.
Our lever arm can still be represented by . As our force vector makes a angle with , we can see (referencing the right hand side of the figure) that makes a angle with the horizontal. Thus
.
We again make the third component 0 and take the cross product to find the torque:
.
As one might expect, when the force and lever arm vectors are orthogonal, the magnitude of force is greater than when the vectors are not orthogonal.
While the cross product has a variety of applications (as noted in this chapter), its fundamental use is finding a vector perpendicular to two others. Knowing a vector is orthogonal to two others is of incredible importance, as it allows us to find the equations of lines and planes in a variety of contexts. The importance of the cross product, in some sense, relies on the importance of lines and planes, which see widespread use throughout engineering, physics and mathematics. We study lines and planes in the next two sections.
In the following exercises, the magnitudes of vectors and in are given, along with the angle between them. Use this information to find the magnitude of .
A bicycle rider applies 150lb of force, straight down, onto a pedal that extends 7in horizontally from the crankshaft. Find the magnitude of the torque applied to the crankshaft.
A bicycle rider applies 150lb of force, straight down, onto a pedal that extends 7in from the crankshaft, making a angle with the horizontal. Find the magnitude of the torque applied to the crankshaft.
To turn a stubborn bolt, 80lb of force is applied to a 10in wrench in a confined space, where the direction of applied force makes a angle with the wrench. How much torque is subsequently applied to the wrench?