Problem 150
Question
Show that \(f(x, y)=\ln \left(x^{2}+y^{2}\right)\) solves Laplace's equation \(\frac{\partial^{2} z}{\partial x^{2}}+\frac{\partial^{2} z}{\partial y^{2}}=0\)
Step-by-Step Solution
Verified Answer
Yes, \(f(x, y)=\ln(x^2+y^2)\) satisfies Laplace's equation.
1Step 1: Identify the function
We are given the function \( f(x, y) = \ln(x^2 + y^2) \). We need to check if this function satisfies Laplace's equation, \(\frac{\partial^2 z}{\partial x^2} + \frac{\partial^2 z}{\partial y^2} = 0\).
2Step 2: Compute the first partial derivatives
Find the first derivatives of \( f(x, y) \) with respect to \(x\) and \(y\):- \( \frac{\partial f}{\partial x} = \frac{2x}{x^2 + y^2} \)- \( \frac{\partial f}{\partial y} = \frac{2y}{x^2 + y^2} \)
3Step 3: Compute the second partial derivatives
Find the second derivatives by differentiating the first derivatives:- \( \frac{\partial^2 f}{\partial x^2} = \frac{\partial}{\partial x}\left(\frac{2x}{x^2 + y^2}\right) \) Compute: \[ \frac{\partial^2 f}{\partial x^2} = \frac{2(y^2 - x^2)}{(x^2 + y^2)^2} \]- \( \frac{\partial^2 f}{\partial y^2} = \frac{\partial}{\partial y}\left(\frac{2y}{x^2 + y^2}\right) \) Compute: \[ \frac{\partial^2 f}{\partial y^2} = \frac{2(x^2 - y^2)}{(x^2 + y^2)^2} \]
4Step 4: Check Laplace's equation
Add the second partial derivatives:\[\frac{\partial^2 f}{\partial x^2} + \frac{\partial^2 f}{\partial y^2} = \frac{2(y^2 - x^2)}{(x^2 + y^2)^2} + \frac{2(x^2 - y^2)}{(x^2 + y^2)^2} = 0\]Since the sum is zero, the function \(f(x, y) = \ln(x^2 + y^2)\) satisfies Laplace's equation.
Key Concepts
Partial DerivativesFunction of Two VariablesLogarithmic Functions
Partial Derivatives
Partial derivatives are an extension of the concept of a derivative to functions of multiple variables. In simpler terms, a partial derivative measures how a function changes as only one of the variables changes, keeping the others constant.
For example, if you have a function of two variables, such as \( f(x, y) \), and you want to find out how this function changes as you increase \( x \) while keeping \( y \) constant, you would compute the partial derivative of \( f \) with respect to \( x \), denoted as \( \frac{\partial f}{\partial x} \).
This process is similar when you take the derivative with respect to \( y \), resulting in \( \frac{\partial f}{\partial y} \). By using partial derivatives, we can analyze multivariable functions more precisely by focusing on how each input affects the output independently. This is crucial when solving equations like Laplace's equation.
For example, if you have a function of two variables, such as \( f(x, y) \), and you want to find out how this function changes as you increase \( x \) while keeping \( y \) constant, you would compute the partial derivative of \( f \) with respect to \( x \), denoted as \( \frac{\partial f}{\partial x} \).
This process is similar when you take the derivative with respect to \( y \), resulting in \( \frac{\partial f}{\partial y} \). By using partial derivatives, we can analyze multivariable functions more precisely by focusing on how each input affects the output independently. This is crucial when solving equations like Laplace's equation.
Function of Two Variables
A function of two variables, such as \( f(x, y) = \ln(x^2 + y^2) \), assigns a real number value based on two input variables, \( x \) and \( y \). This type of function can be thought of as a surface in three-dimensional space.
To visualize this, consider the entire coordinate plane where each point \((x, y)\) represents an input to the function, and the output \( f(x, y) \) determines the 'height' of the surface at that point.
To visualize this, consider the entire coordinate plane where each point \((x, y)\) represents an input to the function, and the output \( f(x, y) \) determines the 'height' of the surface at that point.
- Functions of two variables often deal with real-world phenomena, such as temperature over a geographical area or elevation over a landscape.
- These functions help us understand complex relationships by breaking them down into simple, dependent variables.
Logarithmic Functions
Logarithmic functions are inverse operations of exponentiation and are critical in many areas of mathematics and science. The natural logarithm denoted as \( \ln(x) \) specifically deals with the base of mathematical constant \( e \), approximately equal to 2.718.
These functions help us describe processes that grow rapidly yet slow down over time, like population growth or radioactive decay.
These functions help us describe processes that grow rapidly yet slow down over time, like population growth or radioactive decay.
- Logarithmic functions also play a key role in simplifying complex multiplicative relationships into additive forms.
- For example, the function \( \ln(x^2 + y^2) \) can transform geometric growth into linear growth, which can be easier to manage.
Other exercises in this chapter
Problem 148
Given \(f(x, y)=15 x^{3}-3 x y+15 y^{3}, \quad\) find all points at which \(f_{x}(x, y)=f_{y}(x, y)=0\) simultaneously.
View solution Problem 149
Show that \(z=e^{x} \sin y\) satisfies the equation \(\frac{\partial^{2} z}{\partial x^{2}}+\frac{\partial^{2} z}{\partial y^{2}}=0\)
View solution Problem 151
Show that \(z=e^{-t} \cos \left(\frac{x}{c}\right)\) satisfies the heat equation \(\frac{\partial z}{\partial t}=-e^{-t} \cos \left(\frac{x}{c}\right)\)
View solution Problem 153
Find \(\quad \lim _{\Delta y \rightarrow 0} \frac{f(x, y+\Delta y)-f(x, y)}{\Delta y}\) \(f(x, y)=-7 x-2 x y+7 y\)
View solution