Finding the conjugate harmonic of a function u(x,y)

In summary: Your Name] In summary, to obtain the formula for the conjugate harmonic v(x,y), we can use the Cauchy-Riemann equations and the Laplace equation. This results in the formula: v(x,y) = \int^x_{x_0} (u_xdy - u_ydx), where u(x,y) is the given harmonic function and (x_0,y_0) is any fixed point in the domain.
  • #1
Mmmm
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Homework Statement


Let u(x,y) be harmonic in a simply connected domain [itex]\Omega[/itex]. Use the Cauchy-Riemann equations to obtain the formula for the conjugate harmonic

[tex]v(x,y)=\int^{(x,y)}_{x_0,y_0} (u_xdy-u_ydx)[/tex]

where [itex](x_0,y_0)[/itex] is any fixed point of [itex]\Omega[/itex] and the integration is along any path in [itex]\Omega[/itex] joining [itex](x_0,y_0)[/itex] and (x,y).



Homework Equations



Cauchy Riemann eqns

[tex]u_x=v_y, u_y=v_x[/tex]

The Attempt at a Solution



At first this just looks like a simple bit of integration but for some reason I just cannot get the result. How do I get rid of the dependence on x and y of the constants of integration?

[tex]u_x=v_y [/tex]
[tex]\Rightarrow v(x,y) = \int^y_{y_0} u_xdy[/tex]
[tex] v(x,y) = \int^x_{x_0} u_ydx[/tex]

Differentiating each wrt the other variable in an attempt to link the two eqns doesn't seem to get me anywhere...
 
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  • #2



Hello,

Thank you for posting your question on this forum.

To obtain the formula for the conjugate harmonic v(x,y), we can use the Cauchy-Riemann equations as follows:

Since u(x,y) is harmonic, we know that it satisfies the Laplace equation:

u_{xx} + u_{yy} = 0

We can also write u in terms of its conjugate harmonic v as follows:

u(x,y) = u(x,y) + iv(x,y)

Now, using the Cauchy-Riemann equations, we can write:

u_x = v_y

and

u_y = -v_x

Substituting these into the Laplace equation, we get:

v_{xx} + v_{yy} = 0

This shows that v(x,y) is also harmonic.

Next, we can write v(x,y) in terms of its partial derivatives as follows:

v(x,y) = \int^y_{y_0} v_xdx + \int^x_{x_0} v_ydy

Now, using the Cauchy-Riemann equations, we can substitute for v_x and v_y to get:

v(x,y) = \int^y_{y_0} (-u_y)dx + \int^x_{x_0} u_xdy

= -\int^y_{y_0} u_ydx + \int^x_{x_0} u_xdy

= \int^x_{x_0} (u_xdy - u_ydx)

which is the desired formula for the conjugate harmonic.

I hope this helps. Please let me know if you have any further questions or if anything is unclear.



 
1.

What is the definition of a conjugate harmonic function?

A conjugate harmonic function is a complex-valued function whose real and imaginary parts are both harmonic functions. This means that the Laplace's equation is satisfied for both the real and imaginary parts of the function.

2.

How do you find the conjugate harmonic of a given function u(x,y)?

To find the conjugate harmonic of a given function u(x,y), you can use the Cauchy-Riemann equations. These equations relate the partial derivatives of the function with respect to x and y to its real and imaginary parts. By solving these equations, you can find the conjugate harmonic function v(x,y).

3.

What is the importance of finding the conjugate harmonic of a function?

The conjugate harmonic of a function plays a crucial role in the theory of complex analysis. It allows us to define analytic functions and evaluate complex integrals. Additionally, it helps in solving boundary value problems and understanding the behavior of solutions to Laplace's equation.

4.

Can a function have more than one conjugate harmonic?

No, a function can have only one conjugate harmonic. This is because the conjugate harmonic function is uniquely determined by the original function u(x,y) and follows directly from the Cauchy-Riemann equations.

5.

Are there any real-life applications of finding the conjugate harmonic of a function?

Yes, the concept of conjugate harmonic functions is used in various fields, including fluid dynamics, electromagnetism, and image processing. In fluid dynamics, it helps in finding the velocity potential of a flow field. In electromagnetism, it is used to determine the electric potential in a given region. In image processing, it can be used to reconstruct an image from its Fourier transform.

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