Recall the geometric definition of the cross product as given in an earlier reading.
Cross product of unit vectors
First, we derive the cross product of the unit vectors, i, j, and k be the standard unit vectors in R3. (We define the cross product only in three dimensions.)
The parallelogram spanned by any two of these standard unit vectors is a unit square, which has area one. Hence, the cross product must be a unit vector. Looking at the above graph, you can use the right-hand rule to determine the following results.
| i × j | = k | |
| j × k | = i | |
| k × i | = j |
What about i × k? By the right-hand rule, it must be - j. I think you get the idea.
General vectors
In an earlier reading, we mentioned the special properties of the cross product: b × a = - a × b, and a × a = 0. With these exceptions, the cross product behaves like regular multiplication, obeying these properties,
We write the components of a and b as:
| a = (a1, a2, a3) = a1i + a2j + a3k | |
| b = (b1, b2, b3) = b1i + b2j + b3k |
First, we'll assume that a3 = b3 = 0. (Then, the manipulations are much easier.) We calculate:
| a × b | = (a1i + a2j) × (b1i + b2j) | |
| = a1b1(i × i) + a1b2(i × j) + a2b1(j × i) + a2b2(j × j) |
| a × b | = (a1b2 - a2b1)k | |
= ![]() |
What about the general case where a3 and b3 might not be zero? Well, that's too many manipulations for me to write it out here, and you probably wouldn't read it anyway. To calculate the result, it's just the same process as above. You can verify yourself that in general
| a × b | = (a1i + a2j + a3k) × (b1i + b2j + b3k) | |
= ![]() ![]() ![]() |
Looking at the formula for the 3 × 3 determinant, we see that the formula for a cross product looks a lot like the formula for the 3 × 3 determinant. If we allow a matrix to have the vector i, j, and k as entries (OK, maybe this doesn't make sense, but this is just as a tool to remember the cross product), the 3 × 3 determinant gives a handy mnemonic to remember the cross product:
a × b = ![]() |