Why Cross-Product Differentiation Needs Care
A cross product combines two vectors to produce a third vector perpendicular to both. When the vectors depend on a parameter, their cross product changes as either factor changes. Differentiating captures both contributions, but the order of the factors matters: reversing a cross product changes its sign.
The product rule therefore resembles the familiar rule for differentiating a product, but its terms must retain the original factor order. The rule is useful whenever vector functions describe changing directions or areas, and the examples below show how to apply and check it.
Cross Products and Their Order
For vectors \(\mathbf{a}=(a_1,a_2,a_3)\) and \(\mathbf{b}=(b_1,b_2,b_3)\) in \(\mathbb{R}^3\), their cross product is defined by
It is bilinear: it distributes over addition in either factor and scalar multiples can be factored out. It is also anti-commutative:
Thus the cross product is generally not commutative. For instance, \((1,0,0)\times(0,1,0)=(0,0,1)\), whereas \((0,1,0)\times(1,0,0)=(0,0,-1)\). This sign change is central to differentiating cross products correctly.
The rule requires both vector functions to be differentiable at the parameter value in question. The first term differentiates the first factor while keeping the second in its original position; the second differentiates the second factor while keeping the first in its original position. Neither term reverses the factors.
Why the Product Rule Holds
The cross product is defined by expressions made from sums and products of component functions. Its behavior under limits can therefore be checked component by component. In particular, if vector functions \(\mathbf{p}(t)\) and \(\mathbf{q}(t)\) have limits \(\mathbf{p}_0\) and \(\mathbf{q}_0\), then \(\mathbf{p}(t)\times\mathbf{q}(t)\) tends to \(\mathbf{p}_0\times\mathbf{q}_0\), because each component is a sum or difference of products of convergent real-valued functions.
Fix a parameter value \(t\) where both functions are differentiable. For nonzero \(h\), add and subtract \(\mathbf{u}(t)\times\mathbf{v}(t+h)\) in the difference quotient. Bilinearity gives
As \(h\) tends to zero, differentiability gives the limits of both difference quotients. Differentiability also implies continuity, so \(\mathbf{v}(t+h)\) tends to \(\mathbf{v}(t)\). Taking limits in the displayed equality, using the limit behavior of the cross product, proves the rule:
This derivation also explains why the order is preserved: the first difference term changes \(\mathbf{u}\) while the other factor remains on the right, and the second changes \(\mathbf{v}\) while \(\mathbf{u}\) remains on the left.
Worked Examples in Three Dimensions
Worked Example: Differentiate a Polynomial Cross Product
Let \(\mathbf{u}(t)=(t,t^2,1)\) and \(\mathbf{v}(t)=(1,t,t^2)\). Find the derivative of \(\mathbf{u}(t)\times\mathbf{v}(t)\), then check it at \(t=1\) using the product rule.
First compute the cross product from its component definition:
Differentiate each component:
At \(t=1\), this is \((3,-3,0)\). To check using the product rule, first find \(\mathbf{u}(1)=(1,1,1)\), \(\mathbf{v}(1)=(1,1,1)\), \(\mathbf{u}'(1)=(1,2,0)\), and \(\mathbf{v}'(1)=(0,1,2)\). Then
The direct derivative and the product-rule calculation agree.
Worked Example: Evaluate the Derivative at a Specified Parameter
Let \(\mathbf{a}(t)=(t^2,1,t)\) and \(\mathbf{b}(t)=(t,t^2,1)\). Find the derivative of their cross product at \(t=1\). We use the rule directly, keeping \(\mathbf{a}\) on the left in the second term.
The vectors and their derivatives at \(t=1\) are
Compute the first cross product:
Compute the second in the original factor order:
Adding gives
As a check, compute the cross product first for general \(t\):
Its derivative is \((-3t^2,0,4t^3-1)\), which at \(t=1\) is \((-3,0,3)\), as required.
Planar Vector Functions
A planar vector \((x,y)\) can be treated as the three-dimensional vector \((x,y,0)\). The cross product of two such vectors points in the \(z\)-direction, with its signed \(z\)-component equal to the two-dimensional determinant \(x_1y_2-y_1x_2\). This convention lets the three-dimensional product rule apply directly to planar vector functions.
Worked Example: Differentiate a Planar Cross Product
Let \(\mathbf{p}(t)=(t,t^2)\) and \(\mathbf{q}(t)=(1,t+1)\). Regard them as \((t,t^2,0)\) and \((1,t+1,0)\). Find the derivative of their cross product, and check at \(t=2\).
The cross product has only a \(z\)-component:
Its derivative is \((0,0,1)\). For a product-rule check at \(t=2\), the values are \(\mathbf{p}(2)=(2,4,0)\), \(\mathbf{q}(2)=(1,3,0)\), \(\mathbf{p}'(2)=(1,4,0)\), and \(\mathbf{q}'(2)=(0,1,0)\). Therefore
This agrees with the direct derivative. If the planar cross product is written as the scalar determinant \(p_1q_2-p_2q_1\) instead, the same calculation gives the scalar derivative \(1\).
A Common Order Error
A frequent mistake is to reverse the factors in the second product-rule term, writing \(\mathbf{u}'\times\mathbf{v}+\mathbf{v}'\times\mathbf{u}\). That is not the product rule in the stated factor order. Since \(\mathbf{v}'\times\mathbf{u}=-\mathbf{u}\times\mathbf{v}'\), this error changes the sign of the second contribution.
Worked Example: Correct a Reversed-Factor Calculation
Take the constant functions \(\mathbf{u}(t)=(1,0,0)\) and \(\mathbf{v}(t)=(0,t,0)\). Their cross product is \((0,0,t)\), so its derivative is \((0,0,1)\).
The correct product-rule terms are \(\mathbf{u}'\times\mathbf{v}=(0,0,0)\) and \(\mathbf{u}\times\mathbf{v}'=(1,0,0)\times(0,1,0)=(0,0,1)\). Their sum gives the correct derivative. The reversed expression would instead use \(\mathbf{v}'\times\mathbf{u}=(0,1,0)\times(1,0,0)=(0,0,-1)\), producing the wrong answer \((0,0,-1)\). The direct derivative \((0,0,1)\) exposes the sign error.
Geometric Meaning and a Reliable Check
The magnitude of \(\mathbf{u}(t)\times\mathbf{v}(t)\) is the area of the parallelogram spanned by the two vectors, while its direction records their orientation. As either vector changes, both the area and orientation can change. The two terms in the derivative account for the change in the first vector and the change in the second vector separately.
For a calculation, a reliable procedure is to write the terms in their fixed order, calculate each cross product with the component definition, and add only after both are evaluated. When possible, also compute the cross product first and differentiate its components; agreement between the two routes is a useful check. The direct route is especially effective at catching a sign error caused by swapping factors.
Check Your Understanding
Use the definition of the cross product and the product rule to answer these questions.
- For \(\mathbf{u}(t)=(t,1,0)\) and \(\mathbf{v}(t)=(0,t,1)\), find \(\frac{d}{dt}(\mathbf{u}\times\mathbf{v})\) directly and verify the result using the product rule.
- Why does \(\mathbf{v}'\times\mathbf{u}\) generally differ from \(\mathbf{u}\times\mathbf{v}'\)?
- For \(\mathbf{p}(t)=(t,1)\) and \(\mathbf{q}(t)=(1,t)\), regarded as planar vectors, find the derivative of their signed planar cross product at \(t=2\).
- State the differentiability conditions needed to apply the cross-product product rule at a parameter value.
- Identify the incorrect term in the expression \(\mathbf{u}'\times\mathbf{v}+\mathbf{v}'\times\mathbf{u}\), and rewrite the rule correctly.