Problem 27
Question
$$\begin{aligned} &\frac{\partial^{2} u}{\partial x^{2}}=\frac{2 y^{2}-2 x^{2}}{\left(x^{2}+y^{2}\right)^{2}}, \frac{\partial^{2} u}{\partial y^{2}}=\frac{2 x^{2}-2 y^{2}}{\left(x^{2}+y^{2}\right)^{2}} \text { gives } \frac{\partial^{2} u}{\partial x^{2}}+\frac{\partial^{2} u}{\partial y^{2}}=0 . \quad \text { Thus } u \text { is harmonic. Now } \frac{\partial u}{\partial x}=\frac{2 x}{x^{2}+y^{2}}=\frac{\partial v}{\partial y}\\\ &\text { implies } v=2 \tan ^{-1} \frac{y}{x}+h(x), \quad \frac{\partial u}{\partial y}=\frac{2 y}{x^{2}+y^{2}}=-\frac{\partial v}{\partial x}=\frac{2 y}{x^{2}+y^{2}}-h^{\prime}(x) \quad \text { implies } h^{\prime}(x)=0 \text { or } h(x)=C\\\ &\text { Therefore } f(z)=\log _{e}\left(x^{2}+y^{2}\right)+i\left(\tan ^{-1} \frac{y}{x}+C\right), z \neq 0 \end{aligned}$$
Step-by-Step Solution
VerifiedKey Concepts
Laplace's Equation
- \( \frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} = 0 \)
Harmonic functions exhibit specific properties: they are smooth, and their values at any point are influenced heavily by the behavior of the function in its immediate vicinity. Notably, they satisfy the minimum and maximum principle, meaning they cannot have any local maxima or minima within any region they are defined unless it is constant throughout that region.
In this exercise, the verification that \( \frac{\partial^2 u}{\partial x^2} + \frac{\partial^2 u}{\partial y^2} = 0 \) ensured that \( u \) is harmonic by nature, conforming perfectly to Laplace's equation.
Complex Analysis
A significant concept in complex analysis is a "harmonic conjugate". If \( u \) is a harmonic function, its harmonic conjugate \( v \) can be found such that \( f(z) \) is analytic (i.e., differentiable) everywhere in its domain.
In the provided solution, finding \( v \) involves equating partial derivatives to ensure that \( u + iv \) maintains analyticity. This problem utilized the Cauchy-Riemann equations indirectly to determine \( v \) given \( u \). The function \( v \) was determined as \( v = 2 \tan^{-1} \frac{y}{x} + C \), where \( C \) is a constant. This approach helps in formulating \( f(z) \), which inherently satisfies properties of complex functions and provides a deeper understanding of conformal mappings in complex analysis.
Multivariable Calculus
In this exercise, we calculated second-order partial derivatives \( \frac{\partial^2 u}{\partial x^2} \) and \( \frac{\partial^2 u}{\partial y^2} \) to verify if \( u \) satisfies Laplace's equation.
Multivariable calculus also introduces techniques to integrate functions over regions in \( \mathbb{R}^n \). These are often used to solve physical problems involving fields and flux. The interplay between derivatives shows how functions like \( u \) react to fluctuations within their defined space. This understanding is paramount when analyzing concepts like fluid flow, where quantities depend on multiple factors.
Understanding and manipulating such functions is essential for students learning about the spatial relationship and behavior of different variables simultaneously.