Prove that f is constant on omega

In summary, we have shown that if ##f(z)## is holomorphic on ##\Omega## and satisfies the C.R. equations with ##f(z_0)\neq 0## for all ##z\in \Omega##, then ##f(z)## must be constant on ##\Omega##. This can be proven by using the maximum principle and the fact that ##f(z_0)## is the minimum value of ##f(z)## on ##\Omega##. This also implies that ##-f(z)## is holomorphic on ##\Omega##, as well as the inequality ##|f(z_0)|\leq |f(z)|## holding for all ##z\in\Omega##
  • #1
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##f(z)## is holomorphic on ##\Omega## so f(z) satisfies the C.R. equations, i.e.,

for ##f(z)=u+iv##

##u_x=v_y##
##u_y=-v_x##

and for ##-f(z)=-u-iv##

##u_x=v_y \Rightarrow -u_x=-v_y##
##u_y=-v_x\Rightarrow -u_y=v_x##

so -f(z) satisfies the C.R. equations and hence ##-f(z)## is holomorphic on ##\Omega##.

##|f(z_0)|\leq |f(z)|\Rightarrow |-f(z_0)|\geq |-f(z)|##

## |-f(z_0)|=sup_{z\in\Omega}|f(z)| \Rightarrow ## -f(z) is onstant in ##\Omega## by the maximum principle. f(z) is constant in ##\Omega##.
 
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  • #2
Putting a minus sign*inside* the absolute values doesn't flip the inequality.

Hint: you are told the function doesn't vanish anywhere. You should make use of this fact. Which mathematical operation isn't valid when you plug in zero?
 
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  • #3
Office_Shredder said:
Putting a minus sign*inside* the absolute values doesn't flip the inequality.

Hint: you are told the function doesn't vanish anywhere. You should make use of this fact. Which mathematical operation isn't valid when you plug in zero?
Well, the division operation isn't valid when you plug in zero.

so $$\frac{f_0}{f}\leq 1$$ but I'm not sure where to go from here.another way I tried to prove this without needing ##f>0##, but most likely some steps are incorrect.

##f## is holomorphic on ##\Omega##. The mean value theorem says that the average value of ##f## on any disc ##B_R## which is a subset of ##\Omega## is equal to ##f_0##, i.e.,

$$|f_0|=|\frac{1}{2\pi}\int_{B_R(z_0)}f(z)ds|$$

If one assumes that there exists ##z_0## such that ##|f_0|\leq |f|## for any z, the mean value theorem requires that ##f=f_0## everywhere on the ball. It is obvious that this holds for the case ##|f_0|=|f|##, since the average of a constant function ##f_0## over its domain is just ##f_0##. We can show that this does not hold for the strict inequality case. Suppose ##|f|>|f_0|## for at some ##z^*\neq z_0## on the disc. The mean value theorem would yet say that the average of ##f## on the disc is ##f_0##. Yet the average value would be greater than ##f_0##.

$$| \frac{1}{2\pi}\int_{B_R(z_0)}(f)ds- \frac{1}{2\pi}\int_{B_R(z_0)} (f_0) ds|=|\frac{1}{2\pi}\int_{B_R(z_0)}(f-f_0) ds|$$

where ##0<|f|-|f_0| \leq |f-f_0|## on ##z^*## assures that ##\frac{1}{2\pi}\int_{B_R(z_0)}(f-f0) ds>0 ##, leading to a contradiction. So it must be true that ##f=f_0## everywhere on the disc. In fact, open discs form a basiss of ##\Omega## so ##f=f_0## on ##\Omega##.
 
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  • #4
You can also just apply the maximum principle to 1/f.

I don't think what you've done here is valid, since you've written things like ##0 < f-f_0##, but the right hand side is a complex number, not a real number.
 
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  • #5
Office_Shredder said:
You can also just apply the maximum principle to 1/f.

I don't think what you've done here is valid, since you've written things like ##0 < f-f_0##, but the right hand side is a complex number, not a real number.
TY so much

##f## is defined over ##\Omega##.

since ##f\neq 0##, ##\frac{1}{f}## is defined over ##\Omega##

Let ##\frac{1}{f}=h## and ##h \cdot f = 1##. holomorphic functions form a Borel algebra so ##h## is holomorphic on ##\Omega##.

##|f_0|## is the minimum value of ##f## at ##z_0\in \Omega##. So ##\frac{1}{f}=h## attains its maximum value ##\frac{1}{|f_0|}## at ##z_0\in\Omega##.

##h## is holomorphic and attains its maximum on the interior of ##\Omega##, so the maximum principle leads to ##h## being constant on ##\Omega##, hence ##f## is constant, which leads to ##f=f_0##.
 
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  • #6
finally edited the mistakes and the proof is finally right... ?
 
  • #7
It looks good to me.
 
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1. What does it mean for a function to be constant on a set?

For a function f to be constant on a set omega, it means that the output value of f is the same for every input value in the set omega. In other words, the function does not change or vary within the set.

2. How do you prove that a function is constant on a set?

To prove that a function f is constant on a set omega, you must show that for every input value x in omega, the output value f(x) is the same. This can be done by using the definition of a constant function and showing that f(x) = c for some constant c.

3. Can a function be constant on one part of a set but not on another?

Yes, a function can be constant on one part of a set but not on another. For example, a function could be constant on the interval [0,1] but not on the interval (1,2]. In this case, the function is still considered to be constant on the set [0,2] as a whole.

4. Why is it important to prove that a function is constant on a set?

Proving that a function is constant on a set is important because it allows us to make conclusions about the behavior of the function within that set. This can be useful in many applications, such as optimization problems, where we want to find the maximum or minimum value of a function within a certain set.

5. Are there any common techniques for proving that a function is constant on a set?

Yes, there are several common techniques for proving that a function is constant on a set. These include using the definition of a constant function, using algebraic manipulation to show that f(x) = c, and using the intermediate value theorem to show that the function does not change values within the set.

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