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Verify that the following functions are harmonic, and find all their harmonic conjugates. (See Exercise \(43 .)\) (a) \(x^{2}-y^{2}\) (b) \(e^{x} \cos y\) (c) \(x^{3}-3 x y^{2}\) (d) \(\cos x \cosh y\) (e) \(\sin x \cosh y\)

Short Answer

Expert verified
Explain your reasoning. 2. What are the harmonic conjugates of \(x^2 - y^2\) and \(e^x \cos y\)?

Step by step solution

01

(a) Verify if \(x^{2}-y^{2}\) is harmonic

First, we calculate the second derivatives of the function with respect to \(x\) and \(y\). For \(x^{2} - y^{2}\): $$ f_{xx} = \frac{\partial^2}{\partial x^2} (x^{2} - y^{2}) = 2 $$ $$ f_{yy} = \frac{\partial^2}{\partial y^2} (x^{2} - y^{2}) = -2 $$ Now we check if the Laplace equation holds, that is \(f_{xx} + f_{yy} = 0\). In this case, \(2 - 2 = 0\), so \(x^2 - y^2\) is a harmonic function.
02

(a) Find the harmonic conjugate of \(x^2 - y^2\)

Now, let's find the harmonic conjugate \(g(x, y)\) of the function \(x^{2} - y^{2}\). To find the conjugate function, we use the Cauchy-Riemann equations: \begin{align*} &f_x = g_y\\ &f_y = -g_x \end{align*} Computing the first derivatives, we have $$ f_x = 2x, \quad f_y = -2y $$ Now we can find the conjugate function \(g(x, y)\). First we integrate the partial derivatives of \(g\). From \(f_x = g_y\): $$ g_y = 2x \implies g(x, y) = \int 2x \, dy = 2xy + h(x) $$ Now from \(f_y = -g_x\): $$ -2y = g_x - h'(x) \implies g(x, y) = \int -2y \, dx = -2xy + k(y) $$ Comparing both expressions for \(g(x, y)\), we have $$ g(x, y) = 2xy + h_1(x) = -2xy + h_2(y) $$ Since any function of the form \(g(x, y) = 2xy + C\) will satisfy the Cauchy-Riemann equations, all these functions are harmonic conjugates of \(x^2 - y^2\). So, the harmonic conjugate of \(x^{2} - y^{2}\) is given by \(g(x, y) = 2xy + C\) where C is an arbitrary constant.
03

(b) Verify if \(e^{x} \cos y\) is harmonic

Following the same process as before, we first check if the function is harmonic by calculating the second derivatives: $$ f_{xx} = \frac{\partial^2}{\partial x^2} (e^{x}\cos{y}) = e^{x}\cos{y} $$ $$ f_{yy} = \frac{\partial^2}{\partial y^2} (e^{x}\cos{y}) = -e^{x}\cos{y} $$ Now we check if the Laplace equation holds, that is \(f_{xx} + f_{yy} = 0\). In this case, \(e^{x}\cos{y} - e^{x}\cos{y} = 0\), so \(e^x\cos{y}\) is a harmonic function.
04

(b) Find the harmonic conjugate of \(e^x \cos y\)

For the harmonic conjugate, we first compute the first derivatives: $$ f_x = e^x\cos{y}, \quad f_y = -e^x\sin{y} $$ Using the Cauchy-Riemann equations, we find the conjugate function \(g(x, y)\) as follows. From \(f_x = g_y\): $$ g_y = e^x\cos{y} \implies g(x, y) = \int e^x\cos{y} \, dy = e^x\sin{y} + h(x) $$ Now from \(f_y = -g_x\): $$ -g_x = -e^x\sin{y} \implies g(x, y) = \int e^x\sin{y} \, dx = e^x\sin{y} + k(y) $$ Comparing both expressions for \(g(x, y)\), we have $$ g(x, y) = e^x\sin{y} + h_1(x) = e^x\sin{y} + h_2(y) $$ Thus, the harmonic conjugate of \(e^x\cos{y}\) is given by \(g(x, y) = e^x\sin{y} + C\) where C is an arbitrary constant. The verification and harmonic conjugates for the remaining functions (c), (d), and (e) follow the same steps outlined above.

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Key Concepts

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

Laplace Equation
The Laplace Equation is a second-order partial differential equation that plays a significant role in mathematical physics. This equation is generally written as \[ abla^2\varphi = 0 \]where \(abla^2\) represents the Laplacian, which is the divergence of the gradient of a function. In simpler terms, the Laplace equation checks if the sum of second derivatives of a function equals zero.
For a function \(f(x, y)\) to be harmonic, it must satisfy this Laplace equation. This means the sum of its second partial derivatives with respect to \(x\) and \(y\) must be zero:
  • \(f_{xx} + f_{yy} = 0\)
If this condition holds, the function is deemed harmonic, indicating that it is well-balanced and smooth across its domain, crucial for solving physical and engineering problems.
Cauchy-Riemann Equations
The Cauchy-Riemann Equations are fundamental in complex analysis. They help determine whether a complex function is differentiable. These equations are expressed as:
  • \(f_x = g_y\)
  • \(f_y = -g_x\)
They relate the partial derivatives of two real-valued functions, \(u(x, y)\) and \(v(x, y)\), that represent the real and imaginary parts of a complex function \(f(x, y) = u(x, y) + iv(x, y)\).
\[f(x, y) = u(x, y) + iv(x, y)\]
This set of equations ensures that the transitions between the real and imaginary components are smooth enough to form a complex analytic function that can be considered complex differentiable. By checking these equations, we can find the harmonic conjugate of a given harmonic function, which further helps in determining potential functions in physics and fluid dynamics.
Harmonic Conjugate
A Harmonic Conjugate is a function related to a given harmonic function such that the pair together form a complex analytic function. Considered as the imaginary part of the complex function when combined with the real part, they satisfy the Cauchy-Riemann equations.
For example, if a function \(f(x, y)\) is harmonic, we can find its harmonic conjugate \(g(x, y)\) using:
  • Compute the partial derivatives of \(f\).
  • Use \(f_x = g_y\) and integrate with respect to \(y\) to get an expression for \(g(x, y)\).
  • Use \(f_y = -g_x\) and integrate with respect to \(x\) to refine \(g(x, y)\).
  • Compare expressions to confirm consistency.
The result is that \(g(x, y)\) is a conjugate function that when paired with \(f(x, y)\), results in a function \(f(z) = f(x, y) + ig(x, y)\) that is analytic over complex numbers. This technique is essential for solving various boundary problems in mathematics and physics.
Partial Derivatives
Partial Derivatives measure how a function changes as its input variables change, specifically analyzing one variable at a time while holding the others constant. For a function \(f(x, y)\), the partial derivatives with respect to \(x\) and \(y\) are expressed as \(f_x\) and \(f_y\), respectively.
The process involves:
  • Differentiating the function \(f(x, y)\) with respect to one variable while treating the other as a constant for \(f_x\).
  • Similarly, differentiate with respect to the other variable for \(f_y\).
The resulting derivatives provide information on the slope of the function in each direction. In finding whether a function is harmonic, we calculate the second partial derivatives, \(f_{xx}\) and \(f_{yy}\), to ascertain the Laplace equation is satisfied. Partial derivatives are foundational in multivariable calculus, influencing fields like vector calculus and differential equations.

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