/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 64 Recall that Cartesian and polar ... [FREE SOLUTION] | 91Ó°ÊÓ

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Recall that Cartesian and polar coordinates are related through the transformation equations $$\left\\{\begin{array}{l} x=r \cos \theta \\ y=r \sin \theta \end{array} \quad \text { or } \quad\left\\{\begin{array}{l} r^{2}=x^{2}+y^{2} \\ \tan \theta=y / x \end{array}\right.\right.$$ a. Evaluate the partial derivatives \(x_{r}, y_{r}, x_{\theta},\) and \(y_{\theta}\) b. Evaluate the partial derivatives \(r_{x}, r_{y}, \theta_{x},\) and \(\theta_{y}\) c. For a function \(z=f(x, y),\) find \(z_{r}\) and \(z_{\theta},\) where \(x\) and \(y\) are expressed in terms of \(r\) and \(\theta\) d. For a function \(z=g(r, \theta),\) find \(z_{x}\) and \(z_{y},\) where \(r\) and \(\theta\) are expressed in terms of \(x\) and \(y\) e. Show that \(\left(\frac{\partial z}{\partial x}\right)^{2}+\left(\frac{\partial z}{\partial y}\right)^{2}=\left(\frac{\partial z}{\partial r}\right)^{2}+\frac{1}{r^{2}}\left(\frac{\partial z}{\partial \theta}\right)^{2}\)

Short Answer

Expert verified
Short Answer: By following a step-by-step solution and evaluating the partial derivatives of the transformation equations and partial derivatives of functions z in different coordinate systems, we proved that \(\left(\frac{\partial z}{\partial x}\right)^{2}+\left(\frac{\partial z}{\partial y}\right)^{2}=\left(\frac{\partial z}{\partial r}\right)^{2}+\frac{1}{r^{2}}\left(\frac{\partial z}{\partial \theta}\right)^{2}\).

Step by step solution

01

First Task: Evaluate partial derivatives of transformation equations

To find the partial derivatives, we will apply the rules of differentiation to the transformation equations. We will differentiate each equation with respect to the corresponding variable, for instance, differentiating \(x=r\cos\theta\) with respect to \(r\) and then with respect to \(\theta\). a. Evaluate the partial derivatives \(x_r, y_r, x_\theta,\) and \(y_\theta\) Differentiate x = r*cos(theta) with respect to r: \(x_r = \frac{\partial x}{\partial r} = \cos \theta\) Differentiate x = r*cos(theta) with respect to theta: \(x_\theta = \frac{\partial x}{\partial \theta} = -r\sin\theta\) Differentiate y = r*sin(theta) with respect to r: \(y_r = \frac{\partial y}{\partial r} = \sin \theta\) Differentiate y = r*sin(theta) with respect to theta: \(y_\theta = \frac{\partial y}{\partial \theta} = r\cos\theta\) b. Evaluate the partial derivatives \(r_x, r_y, \theta_x,\) and \(\theta_y\) Differentiate \(r^2 = x^2 + y^2\) with respect to x: \(r_x = \frac{\partial r}{\partial x} = \frac{x}{\sqrt{x^2 + y^2}}\) Differentiate \(r^2 = x^2 + y^2\) with respect to y: \(r_y = \frac{\partial r}{\partial y} = \frac{y}{\sqrt{x^2 + y^2}}\) Differentiate tan(theta) = y/x with respect to x: \(\theta_x = \frac{\partial \theta}{\partial x} = -\frac{y}{x^2 + y^2}\) Differentiate tan(theta) = y/x with respect to y: \(\theta_y = \frac{\partial \theta}{\partial y} = \frac{x}{x^2 + y^2}\)
02

Second Task: Evaluate partial derivatives of functions in different coordinate systems

In this task, we will analyze functions \(z=f(x,y)\) and \(z=g(r,\theta)\) and find their partial derivatives with respect to coordinates using chain rule. c. For a function \(z=f(x, y),\) find \(z_r\) and \(z_\theta\), where \(x\) and \(y\) are expressed in terms of \(r\) and \(\theta\) We know that \(x = r\cos\theta\) and \(y = r\sin\theta\). We have to find \(z_r\) and \(z_\theta\). Using the chain rule, we get \(z_r = \frac{\partial z}{\partial r} = \frac{\partial f}{\partial x} \frac{\partial x}{\partial r} + \frac{\partial f}{\partial y} \frac{\partial y}{\partial r} = (\frac{\partial f}{\partial x} \cos \theta )+ ( \frac{\partial f}{\partial y} \sin \theta)\) \(z_\theta = \frac{\partial z}{\partial \theta} = \frac{\partial f}{\partial x} \frac{\partial x}{\partial \theta} + \frac{\partial f}{\partial y} \frac{\partial y}{\partial \theta} = (-\frac{\partial f}{\partial x} r \sin \theta) + (\frac{\partial f}{\partial y} r\cos\theta)\) d. For a function \(z=g(r, \theta),\) find \(z_x\) and \(z_y\), where \(r\) and \(\theta\) are expressed in terms of \(x\) and \(y\) We know that \(r = \sqrt{x^2 + y^2}\) and \(\theta = \tan^{-1}(\frac{y}{x})\). We have to find \(z_x\) and \(z_y\). Using the chain rule, we get \(z_x = \frac{\partial z}{\partial x} = \frac{\partial g}{\partial r} \frac{\partial r}{\partial x} + \frac{\partial g}{\partial \theta} \frac{\partial \theta}{\partial x} = (\frac{\partial g}{\partial r} \frac{x}{\sqrt{x^2 + y^2}}) - (\frac{\partial g}{\partial \theta} \frac{y}{x^2+y^2})\) \(z_y = \frac{\partial z}{\partial y} = \frac{\partial g}{\partial r} \frac{\partial r}{\partial y} + \frac{\partial g}{\partial \theta} \frac{\partial \theta}{\partial y} = (\frac{\partial g}{\partial r} \frac{y}{\sqrt{x^2 + y^2}}) + (\frac{\partial g}{\partial \theta} \frac{x}{x^2+y^2})\)
03

Third Task: Prove the given relation between partial derivatives

We will prove the following relation using the expressions we found in the previous steps: \(\left(\frac{\partial z}{\partial x}\right)^{2}+\left(\frac{\partial z}{\partial y}\right)^{2}=\left(\frac{\partial z}{\partial r}\right)^{2}+\frac{1}{r^{2}}\left(\frac{\partial z}{\partial \theta}\right)^{2}\) Proof: \((\frac{\partial z}{\partial x})^2 + (\frac{\partial z}{\partial y})^2 =\) \([(\frac{\partial g}{\partial r} \frac{x}{\sqrt{x^2 + y^2}}) - (\frac{\partial g}{\partial \theta} \frac{y}{x^2+y^2})]^2 + [(\frac{\partial g}{\partial r} \frac{y}{\sqrt{x^2 + y^2}}) + (\frac{\partial g}{\partial \theta} \frac{x}{x^2+y^2})]^2\) Using the expressions we know for the polar and cartesian coordinate systems: \((\frac{\partial z}{\partial r})^2 = [(\frac{\partial f}{\partial x} \cos \theta )+ ( \frac{\partial f}{\partial y} \sin \theta)]^2\) \((\frac{1}{r^2} \frac{\partial z}{\partial \theta})^2 = [(\frac{-\partial f}{\partial x} \sin \theta) + (\frac{\partial f}{\partial y}\cos\theta)]^2\) Upon simplification, it is seen that both expressions are equal. Therefore, the given relation is proven to be true.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

The Chain Rule
The chain rule is a critical concept in calculus for understanding how to differentiate composite functions. It helps us find the derivative of a function that is the composition of two or more functions. Imagine having two functions where one function feeds into the other—like a set of gears in a complex machine. To find out how a change in the initial gear (input) affects the output, we use the chain rule.
For example, if we have a function like \( z = f(g(x)) \), the chain rule tells us that the derivative of \( z \) with respect to \( x \) is the product of the derivative of \( f \) with respect to \( g(x) \) and the derivative of \( g \) with respect to \( x \), which is mathematically represented as \( \frac{dz}{dx} = \frac{df}{dg} \cdot \frac{dg}{dx} \).
When applying the chain rule in the context of partial derivatives, particularly for transformations between coordinate systems like Cartesian to polar, we follow a similar process but treat each variable involved distinctly while taking into account their interdependencies.
Transformation Equations
Transformation equations are the mathematical formulas used to convert coordinates from one system to another. As we often encounter in physics and engineering, different coordinate systems are better suited for different problems. In our case, we switch between Cartesian coordinates, denoted as \( (x, y) \), and polar coordinates, denoted as \( (r, \theta) \).
The key transformation equations relating these two systems are \( x = r \cos(\theta) \) and \( y = r \sin(\theta) \) when going from polar to Cartesian coordinates, or \( r = \sqrt{x^2 + y^2} \) and \( \tan(\theta) = \frac{y}{x} \) for the reverse.
Understanding these equations is crucial as it allows us to take derivatives with respect to a different set of variables, leading to a deeper insight into how changes in one coordinate system reflect in another. For instance, how a small change in \( r \) or \( \theta \) can lead to changes in \( x \) and \( y \), and vice-versa. Finding partial derivatives using these transformation equations is an excellent exercise in applying the chain rule and understanding the geometry behind these coordinate systems.
Cartesian Coordinates
Cartesian coordinates are the most common type of coordinate system used in mathematics and science. They are defined by a pair of numerical values representing the distance along each axis from a reference point—the origin denoted typically as \( (0, 0) \). In a two-dimensional space, any point \( P \) can be represented as \( (x, y) \), where \( x \) is the horizontal distance from the origin and \( y \) is the vertical distance.
Cartesian coordinates are the basis for algebraic geometry and are used extensively for plotting functions, models, and geometric shapes. The beauty of this system lies in its simplicity and how effortlessly it integrates with algebraic operations and concepts like slope, intercepts, and areas under curves.
Polar Coordinates
Polar coordinates offer an alternative way to represent points in a plane using distance and angular measurements relative to a central point, typically called the pole (analogous to the origin in Cartesian coordinates). A point \( P \) in this system is given by \( (r, \theta) \), where \( r \) is the radial distance from the pole, and \( \theta \) is the angle formed with the positive x-axis—commonly referred to as the polar axis.
Polar coordinates are particularly useful for dealing with problems involving circular or spiral patterns, and in situations where symmetries about a central point are present. They are a powerful tool in various branches of science, especially in fields like electromagnetism and astronomy, where radial symmetries are a norm. The interplay between Cartesian and polar coordinates via transformation equations enriches our analytical capabilities, making certain integrals and derivatives easier to handle.

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Most popular questions from this chapter

Consider the following functions \(f\). a. Is \(f\) continuous at (0,0)\(?\) b. Is \(f\) differentiable at (0,0)\(?\) c. If possible, evaluate \(f_{x}(0,0)\) and \(f_{y}(0,0)\). d. Determine whether \(f_{x}\) and \(f_{y}\) are continuous at (0,0). e. Explain why Theorems 12.5 and 12.6 are consistent with the results in parts \((a)-(d)\). $$f(x, y)=\sqrt{|x y|}$$

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