Chapter 13: Problem 8
Find all first and second partial derivatives of \(z\) with respect to \(x\) and \(y\) if \(x^{2}+4 y^{2}+\) \(16 z^{2}-64=0\)
Short Answer
Expert verified
The first partial derivatives are \(\frac{\partial z}{\partial x} = -\frac{x}{16z}\) and \(\frac{\partial z}{\partial y} = -\frac{y}{4z}\). The second partial derivatives are \(\frac{\partial^2 z}{\partial x^2} = \frac{-1}{16z} - \frac{x^2}{256z^3}\), \(\frac{\partial^2 z}{\partial y^2} = \frac{-1}{4z} - \frac{y^2}{16z^3}\), and \(\frac{\partial^2 z}{\partial x \partial y} = \frac{x y}{64z^3}\).
Step by step solution
01
Identify the Implicit Function
Given the implicit function: \[ x^2 + 4y^2 + 16z^2 - 64 = 0 \]We need to find partial derivatives of \(z\) with respect to \(x\) and \(y\).
02
Differentiate Implicitly with Respect to x
Differentiate each term in the given implicit equation with respect to \(x\):\[ \frac{d}{dx}(x^2) + \frac{d}{dx}(4y^2) + \frac{d}{dx}(16z^2) - \frac{d}{dx}(64) = 0 \]This results in:\[ 2x + 0 + 32z \frac{\partial z}{\partial x} = 0 \]Thus, solving for \(\frac{\partial z}{\partial x}\):\[ \frac{\partial z}{\partial x} = -\frac{x}{16z} \]
03
Differentiate Implicitly with Respect to y
Differentiate each term in the given implicit equation with respect to \(y\):\[ \frac{d}{dy}(x^2) + \frac{d}{dy}(4y^2) + \frac{d}{dy}(16z^2) - \frac{d}{dy}(64) = 0 \]This simplifies to:\[ 0 + 8y + 32z \frac{\partial z}{\partial y} = 0 \]And solving for \(\frac{\partial z}{\partial y}\):\[ \frac{\partial z}{\partial y} = -\frac{y}{4z} \]
04
Find the Second Partial Derivative with Respect to x
Differentiate \(\frac{\partial z}{\partial x} = -\frac{x}{16z}\) with respect to \(x\) again:\[ \frac{\partial^2 z}{\partial x^2} = \frac{-1}{16z} + \frac{x}{16z^2} \frac{\partial z}{\partial x} = \frac{-1}{16z} - \frac{x^2}{256z^3} \] Using the chain rule, where previously \(\frac{\partial z}{\partial x} = -\frac{x}{16z}\).
05
Second Partial Derivative with Respect to y
Differentiate \(\frac{\partial z}{\partial y} = -\frac{y}{4z}\) with respect to \(y\):\[ \frac{\partial^2 z}{\partial y^2} = \frac{-1}{4z} - \frac{y^2}{16z^3} \]
06
Mixed Second Partial Derivative \( \frac{\partial^2 z}{\partial x \partial y} \)
Find the mixed second partial derivative using previously found \( \frac{\partial z}{\partial x} \) and \( \frac{\partial z}{\partial y} \):Differentiating \( \frac{\partial z}{\partial x} = -\frac{x}{16z} \) with respect to \(y\) results in:\[ \frac{\partial^2 z}{\partial x \partial y} = \frac{x y}{64z^3} \]
07
Mixed Second Partial Derivative \( \frac{\partial^2 z}{\partial y \partial x} \)
Similarly, differentiating \( \frac{\partial z}{\partial y} = -\frac{y}{4z} \) with respect to \(x\) results in:\[ \frac{\partial^2 z}{\partial y \partial x} = \frac{x y}{64z^3} \] Since partial derivatives commute, the mixed derivatives are equal.
Unlock Step-by-Step Solutions & Ace Your Exams!
-
Full Textbook Solutions
Get detailed explanations and key concepts
-
Unlimited Al creation
Al flashcards, explanations, exams and more...
-
Ads-free access
To over 500 millions flashcards
-
Money-back guarantee
We refund you if you fail your exam.
Over 30 million students worldwide already upgrade their learning with 91Ó°ÊÓ!
Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Implicit Differentiation
Implicit differentiation is a technique used to find the derivative of a function that is not solely defined in terms of one variable. To use implicit differentiation, we take the derivative of each term with respect to a particular variable, noticing the relationships among all the involved variables.
- In our exercise, we had the implicit equation: \[ x^2 + 4y^2 + 16z^2 - 64 = 0 \]
- Instead of solving for \(z\) explicitly and then differentiating, which can be complex or impossible, we differentiated directly using variables \(x\), \(y\), and \(z\).
- While differentiating terms involving \(z\), we multiply by the appropriate partial derivative, since \(z\) is essentially a function of both \(x\) and \(y\).
Second Partial Derivative
Second partial derivatives provide deeper insights into how a function's curvature behaves. They are essentially the derivatives of the first partial derivatives. In our exercise, we calculated the second partial derivatives such as \(\frac{\partial^2 z}{\partial x^2}\) and \(\frac{\partial^2 z}{\partial y^2}\).
- Let's consider the second partial derivative \(\frac{\partial^2 z}{\partial x^2}\), which involves differentiating \(\frac{\partial z}{\partial x}\) with respect to \(x\) again.
- This results in \[ \frac{\partial^2 z}{\partial x^2} = \frac{-1}{16z} - \frac{x^2}{256z^3} \]showing how \(z\)'s slope with respect to \(x\) changes as \(x\) itself changes, further describing how the surface bends in the \(x\)-direction.
- Similarly, we find the expression \(\frac{\partial^2 z}{\partial y^2}\) by applying the same method on \(\frac{\partial z}{\partial y}\).
Mixed Partial Derivatives
Mixed partial derivatives involve taking derivatives with respect to two different variables consecutively. In the discussed problem, this would mean finding \(\frac{\partial^2 z}{\partial x \partial y}\) and \(\frac{\partial^2 z}{\partial y \partial x}\).
- For \(\frac{\partial^2 z}{\partial x \partial y}\), we differentiate \(\frac{\partial z}{\partial x}\) with respect to \(y\).
- The result is \[ \frac{\partial^2 z}{\partial x \partial y} = \frac{x y}{64z^3} \]emphasizing how the slope of \(z\) in the \(x\)-direction changes as \(y\) changes.
- Due to the symmetry of mixed derivatives, known as Clairaut's Theorem, if the second mixed derivatives are continuous, \(\frac{\partial^2 z}{\partial x \partial y} = \frac{\partial^2 z}{\partial y \partial x}\).