Prove f is Constant Function on U

In summary, we have proved that if U is a subset of the complex numbers that is open, path-connected, and f:U\longrightarrow\mathbb{C} is a differentiable function with f'(z)=0 for all z\in{U}, then f is constant. This is shown by considering an arbitrary path in U and showing that f is constant on that path, which implies that f is constant on all of U. The use of path integrals can provide a quicker proof, but the above argument shows the details of how f is proven to be constant.
  • #1
littleHilbert
56
0
Please check whether this makes sense

Homework Statement



If [itex]U\subset\mathbb{C}[/itex] open, path-connected and [itex]f:U\longrightarrow\mathbb{C}[/itex] differentiable with [itex]f'(z)=0[/itex] for all [itex]z\in{U}[/itex], then f is constant.

Hypotheses:
H1: U is pathconnected
H2: [itex]f:U\longrightarrow\mathbb{C}, f'(z)=0, z\in{U} [/itex]

2. The attempt at a solution

By H1 for every [itex]p,q\in{U},p\neq{q}[/itex] there exists [itex]\gamma:[a,b]\longrightarrow{U}[/itex] such that [itex]\gamma(a)=p,\gamma(b)=q[/itex].
So let [itex]\gamma[/itex] be an arbitrary path in U and let [itex]z\in\gamma([a,b])\subset{U}[/itex], that is [itex]z:=\gamma(t)[/itex] for [itex]t\in[a,b][/itex].

We shall show that f is constant on any path in U between arbitrary but fixed points p and q. Since [itex]\gamma[/itex] is arbitrary, it will then follow that f is constant on U.

Since f is complex-differentiable and gamma is continuous, and hence also real-differentiable, we have [itex](f\circ{\gamma})'(t)={\gamma}'(t)f'(\gamma(t))[/itex]. But [itex]f'(\gamma(t))=f'(z)=0[/itex] by H2, hence [itex](f\circ{\gamma})'(t)=0[/itex], which implies that [itex](f\circ{\gamma})(t)=const[/itex]. In particular, [itex](f\circ{\gamma})(a)=(f\circ{\gamma})(b)[/itex], that is [itex]f({\gamma}(a))=f({\gamma}(b))[/itex], or [itex]f(p)=f(q)[/itex] for all [itex]p\neq{q}, p,q\in U[/itex]. But this is exactly the property of a constant function. It follows that f is locally, on a subset of U, constant and hence constant.
 
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  • #2
littleHilbert said:
...hence [itex](f\circ{\gamma})'(t)=0[/itex], which implies that [itex](f\circ{\gamma})(t)=const[/itex].

But could you prove this?

My hint at the solution to the problem would be: path integrals.
 
  • #3
Yes, I think I can.

We have [itex](f\circ{\gamma})'(t)=u'(t)+iv'(t)=0\Longrightarrow{u'(t)=0=v'(t)}[/itex], which means that [itex]u(t)=C_1, v(t)=C_2[/itex] are constant functions and so [itex](f\circ{\gamma})(t)[/itex] is constant.

Must I use path integrals here. Is the above argumentation incorrect or imprecise?
 
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  • #4
Ok, now it looks good and complete!

(But with path integrals it is very fast: "Let a,b be in U and y be a path in U joining and and B. Then by the FTC for path integrals in the complex plane, the integral of f '(z) along y is both 0 and f(b)-f(a). Therefor f(b)-f(a)=0. QED)
 
  • #5
Ok, I'll try to go into detail, because I'd like to write it down formally and clearly.

So you say that:

Constant functions are trivially continuous and holomorphic everywhere in C. U is open, so f' is holomorphic on U. Also the path gamma is continuous and hence smooth. These two statements imply that a primitive of f' on U exists and is determined up to a constant. Clearly, f' has a primitive on gamma.

Let F be a primitive. Again, differentiability of f implies that primitive F is holomorphic and F=f.

Now we apply the FTC to any path gamma between any two points a and b to conclude that:
[itex]\displaystyle\int^{}_{\gamma} f'(z)\,dz = f(b)-f(a)[/itex]
At the same time: [itex]\displaystyle\int^{}_{\gamma} f'(z)\,dz = 0[/itex] by hypothesis. Hence f(b)=f(a) for all different a and b in U. Thus it follows f is constant.

Is it OK?

Many thanks in advance
 
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  • #6
littleHilbert said:
Ok, I'll try to go into detail, because I'd like to write it down formally and clearly.

So you say that:

Constant functions are trivially continuous and holomorphic everywhere in C. U is open, so f' is holomorphic on U. Also the path gamma is continuous and hence smooth. These two statements imply that a primitive of f' on U exists and is determined up to a constant. Clearly, f' has a primitive on gamma.

Let F be a primitive. Again, differentiability of f implies that primitive F is holomorphic and F=f.

Now we apply the FTC to any path gamma between any two points a and b to conclude that:
[itex]\displaystyle\int^{}_{\gamma} f'(z)\,dz = f(b)-f(a)[/itex]
At the same time: [itex]\displaystyle\int^{}_{\gamma} f'(z)\,dz = 0[/itex] by hypothesis. Hence f(b)=f(a) for all different a and b in U. Thus it follows f is constant.

Is it OK?

Many thanks in advance

Yes.
 

1. How do you prove that f is a constant function on U?

To prove that f is a constant function on U, we need to show that the output of f is the same for every input in U. This means that for any two inputs x and y in U, f(x) = f(y). We can do this by using the definition of a constant function, which states that a function is constant if its output is the same for every input.

2. What is the definition of a constant function?

A constant function is a type of function where the output is the same for every input. This means that no matter what value is input, the output will always be the same constant value. In other words, the function does not change or vary as the input changes.

3. Is f a constant function on U if it has a constant slope?

Yes, if a function has a constant slope, it is considered a constant function. This is because the slope of a function represents its rate of change, and if the slope is constant, then the function is not changing or varying with different inputs.

4. Can a non-constant function ever be considered a constant function on U?

No, a non-constant function cannot be considered a constant function on U. This is because a non-constant function by definition has varying outputs for different inputs, while a constant function has the same output for every input.

5. What is the significance of proving that f is a constant function on U?

Proving that f is a constant function on U is significant because it allows us to better understand the behavior and properties of the function. It also helps us to make predictions and draw conclusions about the function's behavior in different situations. Additionally, it can be a useful tool in solving more complex mathematical problems and equations.

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