Multivariable calculus
Partial Derivatives of x^2 y^3: Method and Answers
For f(x, y) = x^2 y^3 the partial with respect to x is 2xy^3, and the partial with respect to y is 3x^2 y^2. To get the x partial, hold y fixed so y^3 is only a constant multiplier and differentiate x^2. To get the y partial, hold x fixed so x^2 is the multiplier and differentiate y^3.
Freeze one variable, then use one-variable rules
A partial derivative is an ordinary derivative in disguise. For , treat as a number you happen not to know. Then is a constant sitting in front of , and the power rule finishes the job.
Now swap roles. For , the factor is the constant and is the live variable.
The pattern for any monomial is the same: differentiate the exponent belonging to your variable and leave the other exponent untouched.
The mistake: reaching for the product rule
Because looks like a product, students often write , differentiating both factors. That mixes two different derivatives into one answer.
The product rule applies when both factors depend on the variable you are differentiating. Here does not depend on at all, so its derivative with respect to is zero and the second term collapses.
- For : is frozen, so .
- The product rule would give , the same answer, only with a wasted term.
- Writing instead of for that second factor is what produces the wrong answer.
You genuinely need the product rule only when both factors carry the differentiation variable, for example .
Check the two answers at a point
Numbers catch algebra slips faster than rereading does. Take the point .
Sanity test the sizes against the surface. Moving in the direction from changes faster than moving in , because the cubic exponent on combines with the large factor .
The mixed second partials also agree, as Clairaut's theorem promises for a polynomial: differentiating with respect to and with respect to both give .
Frequently asked questions
Why does the exponent on the other variable stay the same?
Because that variable is held constant during the differentiation. In the factor behaves exactly like the number 8 would, so it rides along unchanged and multiplies the derivative of .
What is the gradient of ?
The gradient collects the two partials: . At that is , which points in the direction of fastest increase of from that point.