Functions of Complex Variables

In summary, the function cannot have a maximum or minimum in the interior of any region in which it is analytic.
  • #1
alchemistoff
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0

Homework Statement


{Q 6.2.2 from Arfken "Mathematical Methods for Physicists"}
Having shown that the real part [tex]u(x,y)[/tex] and imaginary part [tex]v(x,y)[/tex] of an analytic function [tex]w(z)[/tex] each satisfy Laplace's equation, show that [tex]u(x,y)[/tex] and [tex]v(x,y)[/tex] cannot have either a maximum or a minimum in the interior of any region in which [tex]w(z)[/tex] is analytic. (They can have saddle points)

Homework Equations


Cauchy-Riemann (CR) relations for analyticity of the function [tex]u_x=v_y[/tex] and [tex]u_y=-v_x[/tex] where subscript stands for partial differentiation with respect to that variable.

[tex]\nabla^2u=0[/tex] and [tex]\nabla^2v=0[/tex] (it follows from CR relations and proves that analytic function satisfies Laplace's equation)

The Attempt at a Solution



The local minimum/maximum points are to satisfy [tex]u_x=0[/tex] and [tex]u_y=0[/tex]
and
[tex]M=u_{xx}u_{yy}-(u_{xy})^2>0[/tex]

[tex]\nabla^2u=u_{xx}+u_{yy}=0\therefore u_{xx}=-u_{yy}[/tex]

[tex]M=-u_{yy}^2-u_{xy}^2\leq0[/tex]

...and it looks like totally wrong direction...
 
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  • #2
i think you proved it, for a function of two variables to have a min or max
[tex]
-u_{yy}^2-u_{xy}^2 > 0
[/tex]

but for a saddle point
[tex]
-u_{yy}^2-u_{xy}^2 < 0
[/tex]
since the square of two real numbers is always positive, the condition will give only a number <= 0.
if it is = 0 you cannot conclude anything
if it is <0 it is a saddle point

so u(x,y) and v(x,y) cannot have either a maximum or a minimum in the interior of any region in which w(z) is analytic.
 
  • #3
Wait, the square of a real number is non-negative, so haven't you completely ignored the case where you can have a saddle point or a local extremum?
 
  • #4
Precisely, the fact that [tex]M[/tex] can be zero doesn't allow proof to be completed. The only way to complete it is to show that for points where [tex]u_x=0[/tex] and [tex]u_y=0[/tex] [tex]M[/tex] cannot be zero.

or there is probably different approach which I cannot see...
 
  • #5
Well, what does Gauss's divergence theorem yield for the integral of the Laplacian of U over a small area containing a hypothetical maximum/minimum of U?
 
  • #6
From Gaussian theorem we have

[tex]\int _V\nabla^2 u \, dV=\int_S \nabla u \cdot n\, dS[/tex]
[tex]0=\int_S \nabla u \cdot n\, dS[/tex]​

I intuitively see that zero flux of [tex]\nabla u[/tex] implies that [tex]u[/tex] cannot have minimum or maximum but do not fully grasp it.

If it is to be true, then in the enclosed region where [tex]u[/tex] is minimum/maximum [tex]\nabla u[/tex] must be all negative/positive but cannot see why this is true.
 
  • #7
You have to make your intuition more explicit. Intuitively we see a maximum that looks like a mountain top, so we see a gradient that points away from the mountain top. You then have to think about how to translate that to pure math. What is clear is that you cannot see this effect when expanding U to first order around the maximum, you have to go to second order.

So, you can make the following plan. Let's try to use the fact that U is analytic. U has a series expansion and you can write U around its maximum as a quadratic plus an error term. This will capture the above picture correctly. If you now use Gauss' theorem and substitute in the flux term involving nabla U the second order expansion plus error term, you should be able to prove that the flux term has to be strictly positive if U has a maximum or strictly negative if U has a minimum.
 
  • #8
Thanks.
 

1. What are complex variables and why are they important in science?

Complex variables are numbers that have both a real and imaginary component. They are important in science because they allow us to model and analyze physical systems that involve both real and imaginary quantities, such as electromagnetic fields, fluid dynamics, and quantum mechanics.

2. What are the main functions of complex variables?

The main functions of complex variables are to provide a powerful mathematical tool for solving problems in various scientific fields, such as engineering, physics, and mathematics. They can be used to represent physical quantities, analyze data, and make predictions about complex systems.

3. How do complex variables differ from real variables?

Complex variables differ from real variables in that they have two components, real and imaginary, while real variables only have one. In addition, complex variables have unique properties, such as the Cauchy-Riemann equations, that allow for different methods of analysis and calculation.

4. What are some common applications of complex variables in science?

Complex variables have many applications in science, including in the fields of signal processing, control systems, and image processing. They are also used in the study of fluid dynamics, electromagnetism, and quantum mechanics. Additionally, they are essential in solving problems involving boundary value problems and differential equations.

5. How can understanding complex variables benefit scientific research?

Understanding complex variables can benefit scientific research by providing a more efficient and powerful way to model and analyze complex systems. By using complex variables, scientists can simplify and solve complex problems that would be difficult or impossible to solve using only real variables. It also allows for a deeper understanding of physical systems and can lead to new discoveries and advancements in various fields of science.

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