Holomorphic Function, Meromorphic Function
tl;dr
A function f:C→C∪{∞} is holomorphic at z0 if there exists ϵ>0, and complex numbers a0,a1,⋯ that for all ∣z−z0∣<ϵ, we can write
f(z)=n=0∑∞an(z−z0)n.
A function f:C→C∪{∞} is meromorphic at z0 with order m≥1 pole, if there exists ϵ>0, and complex numbers a−m,⋯,a0,a1,⋯ that for all 0<∣z−z0∣<ϵ, we can write
f(z)=n=−m∑∞an(z−z0)n.
Real function Differentiability
First, let's us recall some notion in real analysis. Given a function f:R→R, we can talk about its derivative at a point x0∈R. It is defined as
f′(x0)=ϵ→0limϵf(x0+ϵ)−f(x0).
If the derivative f′(x0) exists, then we say the function f is differentiable at x0. For example, f(x)=∣x∣ is not differentiable at x=0. If the derivative f′(x0) exists for all x0∈R, then we say f is differentiable on R.
Ex 1
f(x)={x2xx≥0x≤0
Is it differentiable at x=0? Can you plot f′(x)?
Ex 2
f(x)={x22x2x≥0x≤0
Is it differentiable at x=0? Can you plot f′(x)?
(this is an example, where the function f(x) is differentiable, but the derivative f′(x) is not continuous, hence we cannot define f“(x) at x=0, hence f(x) is not a smooth function on R).
Complex function Differentiability
On the face value, the definition for complex differentiability is just replacing the word 'real' by 'complex', in the above section.
Definition: we say f:C→C is differentiable at z0∈C, if
f′(z0)=ϵ→0limϵf(z0+ϵ)−f(z0) exists.
Remark: Here ϵ can go to 0 in different directions, we can let ϵ=reiθ for fixed θ and positive r→0. The condition that derivative exists really means no matter how ϵ approach 0, the above limit exists.
Let's see some example.
f(z)=z3 at
z0, what is
f′(z0)?
f(z)=∣z∣2 at
z0=0, at
∣z0∣=1. Does
f′(z0) exist?
Definition: we say a subset Ω⊂C is an 'open subset of C', or simply 'open', if for any point p∈Ω, we can enlarge it to a small ball Bϵ(p)⊂Ω, where Bϵ(p)={z∣∣z−p∣<ϵ}.
Example: the strip ∣Re(z)∣<1 is open; the line Rez=1 is not open.
Definition: We say a function f:Ω→C is an analytic function (aka holomorphic) on Ω if for any p∈Ω, f′(p) exists.
Example:
f(z)=1/z is holomorphic on
Ω=C\{0}.
f(z)=1/(z2+1) is holomorphic on
Ω={z∈C∣z2+1=0}=C\{±i}.
Taylor expansion
Suppose f:Ω→C is a holomorphic function on Ω.
Then the derivative f′(p) exists for every point p in Ω by definition. Furthermore, f′:Ω→C itself is a holomorphic function (a non-trivial result, not true for real differentiable function). Hence, we can differentiate f anytimes we want on Ω.
The Taylor expansion of f centered at point p∈Ω is the following identity. If Br(p)⊂Ω, then for any z∈Br(p), we have
f(z)=f(p)+f′(p)(z−p)+f”(p)2!(z−p)2+⋯+f(n)(p)n!(z−p)2+⋯.
Point Singularity
Suppose f:C\{0}→C is holomorphic function, you cannot help but wonder, what goes wrong at 0? You might find
a removable singularity (i.e. a false alarm,
f is all good at
z=0)
a pole,
znf(z) is holomorphic
an essential singularity: anything else, like
e1/z,
e1/z2.
If you had a pole, we can apply that Taylor expansion formula (at z=0) to znf(z), then divide out by z.
Exercises
Find the first two terms in these expansions.
1. Taylor expand (z+1)(z+2) around z=3.
2. Laurent expand 1/[(z−1)(z−2)] around z=1. And do it again, this time around z=2.
2.5 (Optional) Laurent expand e1/z+z around z=0.
3. You may have heard about Cauchy Riemann equation: let f(z) be a C-valued function on C, and let z=x+iy, f=u+iv, then we can view u,v as real valued functions depending on x,y.
If f is holomorphic, then we have
∂x∂u(x,y)=∂y∂v(x,y),∂x∂v(x,y)=−∂y∂u(x,y)
Your task: either prove this in general if you feel strong, or verify that this is true for your favorite holomorphic function (don't choose f to be a constant, too boring)