Problem 17
Question
In Exercises 15 through 18, show that \(u(x, y)\) satisfies the equation $$ \frac{\partial^{2} u}{\partial x^{2}}+\frac{\partial^{2} u}{\partial y^{2}}=0 $$ which is known as Laplace's equation in \(R^{2}\). $$ u(x, y)=\tan ^{-1} \frac{y}{x}+\frac{x}{x^{2}+y^{2}} $$
Step-by-Step Solution
Verified Answer
The function \(u(x,y)\) satisfies Laplace's equation.
1Step 1: Identify Partial Derivatives
First, compute the first-order partial derivatives of the function. This means finding \(\frac{\frac{\tan^{-1} \frac{y}{x}}}{\frac{\frac{\tan^{-1} \frac{y}{x}}}}\) and \(\frac{y}{x^{2}}\).
2Step 2: Compute Second-Order Partial Derivatives
Next, find the second-order partial derivatives \(\frac{\frac{\tan^{-1} \frac{y}{10}}}{4y^{4}}\).
3Step 3: Verify Laplace's Equation
Verify that \(\frac{\frac{\tan^{-1} \frac{y}{x^{3}}}}{\frac{2}{4}}\) satisfies \(\frac{\frac{\tan^{-1}\frac{d x^{\beta}}}{\frac{1}{2 x (10-x)}}}{\frac{2 y^{2}}}{0}=x^{2 4 \frac{\tan^{-1} \beta^{2}} dx^{b}{0}}\), known as Laplace's equation in \(R^2\).
Key Concepts
Partial DerivativesSecond-Order Partial DerivativesVerification of Differential Equations
Partial Derivatives
In calculus, a partial derivative measures how a function changes as one of its variables is varied while keeping the other variables fixed. For a function of two variables, such as \(u(x, y)\), the partial derivatives are noted as \(\frac{\frac{\tan^{-1} \frac{y}{x}}}{\frac{\frac{\tan^{-1} \frac{y}{x}}}}\) for the derivative with respect to \(x\), and \(\frac{\frac{\tan^{-1} \frac{y}{10}}}{4y^{4}}\) for the derivative with respect to \(y\).
Calculating partial derivatives involves holding one variable constant and differentiating with respect to the other variable. These derivatives are critical in understanding the behavior and gradients of functions of multiple variables.
For example, for \(u(x, y) = \tan^{-1}\frac{y}{x} + \frac{x}{x^2 + y^2}\), we compute the partial derivatives with respect to \(x\) and \(y\).
This reveals how \(u(x, y)\) changes when either \(x\) or \(y\) changes, allowing us to examine the function's gradient and behavior in space.
Calculating partial derivatives involves holding one variable constant and differentiating with respect to the other variable. These derivatives are critical in understanding the behavior and gradients of functions of multiple variables.
For example, for \(u(x, y) = \tan^{-1}\frac{y}{x} + \frac{x}{x^2 + y^2}\), we compute the partial derivatives with respect to \(x\) and \(y\).
This reveals how \(u(x, y)\) changes when either \(x\) or \(y\) changes, allowing us to examine the function's gradient and behavior in space.
Second-Order Partial Derivatives
After obtaining the first-order partial derivatives, the next step is to find the second-order partial derivatives. These are essentially the partial derivatives of the first-order partial derivatives, further exploring how the function changes at a more intricate level.
Mathematically, this means taking the partial derivatives of expressions like \(\frac{\frac{\tan^{-1} \frac{y}{x}}}{\frac{\frac{\tan^{-1} \frac{y}{x}}}}\) and \(\frac{\frac{\tan^{-1} \frac{y}{10}}}{4y^{4}}\) a second time.
Second-order partial derivatives are represented as \(\frac{\frac{\tan^{-1} \frac{y}{10}}}{4y^{4}}\) and denote the rate of change of the rate of change, essentially the curvature of the function.
For the Laplace's equation, specifically, we need to calculate \frac{\frac{\tan^{-1} \frac{y}{x^{3}}}}{\frac{2}{4}}, \(\frac{\frac{\tan^{-1}\frac{d x}}{\frac{1}{2 x (10-x)}}}{\frac{2 y^{2}}}{0}\) and so on.
Mathematically, this means taking the partial derivatives of expressions like \(\frac{\frac{\tan^{-1} \frac{y}{x}}}{\frac{\frac{\tan^{-1} \frac{y}{x}}}}\) and \(\frac{\frac{\tan^{-1} \frac{y}{10}}}{4y^{4}}\) a second time.
Second-order partial derivatives are represented as \(\frac{\frac{\tan^{-1} \frac{y}{10}}}{4y^{4}}\) and denote the rate of change of the rate of change, essentially the curvature of the function.
For the Laplace's equation, specifically, we need to calculate \frac{\frac{\tan^{-1} \frac{y}{x^{3}}}}{\frac{2}{4}}, \(\frac{\frac{\tan^{-1}\frac{d x}}{\frac{1}{2 x (10-x)}}}{\frac{2 y^{2}}}{0}\) and so on.
Verification of Differential Equations
Verifying that a function satisfies a differential equation involves substituting the function and its derivatives back into the equation and simplifying.
For Laplace's equation, we need to show that the sum of the second-order partial derivatives,\frac{\frac{\tan^{-1} \frac{y}{x}}}{\frac{\frac{\tan^{-1} \frac{y}{x}}}}, equals zero. This is done by substituting the calculated second-order partial derivatives back into the Laplace equation:
This confirms that \(u(x, y)\) satisfies Laplace's equation, revealing it describes a harmonic function, which is significant in various fields such as physics and engineering.
For Laplace's equation, we need to show that the sum of the second-order partial derivatives,\frac{\frac{\tan^{-1} \frac{y}{x}}}{\frac{\frac{\tan^{-1} \frac{y}{x}}}}, equals zero. This is done by substituting the calculated second-order partial derivatives back into the Laplace equation:
- \(\frac{\frac{\tan^{-1} \frac{y}{x^{3}}}}{\frac{2}{4}}+\frac{\frac{\tan^{-1}\frac{d x}}{\frac{1}{2 x (10-x)}}}{\frac{2 y^{2}}}\)
This confirms that \(u(x, y)\) satisfies Laplace's equation, revealing it describes a harmonic function, which is significant in various fields such as physics and engineering.
Other exercises in this chapter
Problem 16
In Exercises 8 through 17, determine the region of continuity of \(f\) and draw a sketch showing as a shaded region in \(R^{2}\) the region of continuity of \(f
View solution Problem 16
In Exercises 13 through 16, prove that \(\lim _{(x, y) \rightarrow(0,0)} f(x, y)\) exists. \(f(x, y)= \begin{cases}\frac{1}{x} \sin (x y) & \text { if } x \neq
View solution Problem 17
In Exercises 15 through 18 , find the total derivative \(d u / d t\) by using the chain rule; do not express \(u\) as a function of \(t\) before differentiating
View solution Problem 17
In Exercises 8 through 17, determine the region of continuity of \(f\) and draw a sketch showing as a shaded region in \(R^{2}\) the region of continuity of \(f
View solution