CalculusLesson 1 of 3 in the course Multivariable calculus

Partial Derivatives: Computation, Higher Derivatives, and Applications

5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English

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Summary

A function of several variables can change in different ways depending on which input changes. A partial derivative measures change in one chosen variable while the other inputs are held fixed. This idea is essential for describing surfaces, rates of change, and multivariable models.

For a function f(x,y)f(x,y), imagine fixing yy and allowing only xx to change. The resulting change in ff is measured by the partial derivative with respect to xx, written ∂f∂x\frac{\partial f}{\partial x} or fxf_x. Similarly, ∂f∂y\frac{\partial f}{\partial y} measures change as yy varies while xx is fixed.

All flashcards

What is a partial derivative?
It is the derivative of a function of several variables with respect to one selected variable, holding all other variables constant.
What does fxf_x mean?
fxf_x denotes the partial derivative of ff with respect to xx, describing its rate of change in the xx direction while other inputs are fixed.
What does the limit definition vary?
It changes one coordinate by a small amount hh and compares the resulting function value with the original, then takes the limit as hh approaches zero.
How is a coordinate partial derivative a directional derivative?
It is the directional derivative in the direction of the corresponding standard unit vector, such as ei\mathbf{e}_i.
What does the C1C^1 condition guarantee locally?
If the first partial derivatives exist and are continuous in a neighborhood, the function is totally differentiable there and its total derivative is continuous.

Quiz questions

  1. Under what condition does Clairaut's theorem guarantee that fxy=fyxf_{xy}=f_{yx} near a point?Answer: The relevant second partial derivatives are continuous near the point.
  2. What quantities are arranged in the Hessian matrix of a function of two variables?Answer: The function's second partial derivatives.
  3. If x=rcos⁡θx=r\cos\theta and y=rsin⁡θy=r\sin\theta, what is ∂f∂r\frac{\partial f}{\partial r} when θ\theta is fixed?Answer: fxcos⁡θ+fysin⁡θf_x\cos\theta+f_y\sin\theta
  4. For f(x,y)=x2y+3y2f(x,y)=x^2y+3y^2, what is fxyf_{xy}?Answer: 2x2x
  5. For V(r,h)=πr2h3V(r,h)=\frac{\pi r^2h}{3} with hh depending on rr, which expression gives dVdr\frac{dV}{dr}?Answer: 2πrh3+πr23dhdr\frac{2\pi rh}{3}+\frac{\pi r^2}{3}\frac{dh}{dr}

Based on the Wikipedia article Partial derivative, licensed CC BY-SA 4.0. Adapted into a summary, flashcards and quizzes.

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