Let Ω ⊆ C \Omega \subseteq \mathcal{C} Ω ⊆ C be a open set and f : Ω → C f : \Omega \rightarrow \mathcal{C} f : Ω → C be a complex function.
f f f is holomorphic at z ∈ Ω z \in \Omega z ∈ Ω , if the following limit exits:
lim z + h ∈ Ω , h → 0 f ( z + h ) − f ( z ) h . ( 1 )
\begin{array}{lr}
\lim_{z + h \in \Omega, h \rightarrow 0} \frac{ f(z + h) - f(z) }{ h }. & (1)
\end{array}
lim z + h ∈ Ω , h → 0 h f ( z + h ) − f ( z ) . ( 1 ) The limit is denoted as f ′ ( z ) f'(z) f ′ ( z ) and is called the derivative of f f f at z z z .
Note that h h h can approach 0 0 0 from any direction.
Define
∂ f ∂ x ( z ) ≐ lim x ∈ R , z + x ∈ Ω , x → 0 f ( z + x ) − f ( z ) x ,
{
\frac{\partial f}{ \partial x} (z) \doteq \lim_{x \in \mathbb{R}, z + x \in \Omega, x \rightarrow 0} \frac{ f(z + x) - f(z) }{ x },
}
∂ x ∂ f ( z ) ≐ x ∈ R , z + x ∈ Ω , x → 0 lim x f ( z + x ) − f ( z ) , which is the limit of ( 1 ) (1) ( 1 ) when h h h approaches to 0 0 0 from the real axis.
Similarly, define when limit when h h h is purely imaginary:
∂ f ∂ y ( z ) ≐ lim y ∈ R , z + y ∈ Ω , y → 0 f ( z + i ⋅ y ) − f ( z ) i ⋅ y .
\small
\frac{\partial f}{ \partial y} (z) \doteq \lim_{y \in \mathbb{R}, z + y \in \Omega, y \rightarrow 0} \frac{ f(z + i \cdot y) - f(z) }{ i \cdot y }.
∂ y ∂ f ( z ) ≐ y ∈ R , z + y ∈ Ω , y → 0 lim i ⋅ y f ( z + i ⋅ y ) − f ( z ) . If the derivate of f f f exists at z z z , we have shown that
∂ f ∂ x = ∂ f ∂ y . ( 2 )
\begin{aligned}
\frac{\partial f}{ \partial x} = \frac{\partial f}{ \partial y}. &\qquad (2)
\end{aligned}
∂ x ∂ f = ∂ y ∂ f . ( 2 ) Writing f = u + i v f = u + iv f = u + i v , we get
∂ f ∂ x = ∂ u ∂ x + i ⋅ ∂ v ∂ x , ∂ f ∂ y = 1 i ⋅ ( ∂ u ∂ y + i ⋅ ∂ v ∂ y ) = − i ⋅ ∂ u ∂ y + ∂ v ∂ y .
\begin{aligned}
\frac{\partial f}{ \partial x}
&= \frac{\partial u}{ \partial x} + i \cdot \frac{\partial v}{ \partial x}, \\
\frac{\partial f}{ \partial y}
&= \frac{1}{i} \cdot \left( \frac{\partial u}{ \partial y} + i \cdot \frac{\partial v}{ \partial y} \right) = -i \cdot \frac{\partial u}{ \partial y} + \frac{\partial v}{ \partial y}.
\end{aligned}
∂ x ∂ f ∂ y ∂ f = ∂ x ∂ u + i ⋅ ∂ x ∂ v , = i 1 ⋅ ( ∂ y ∂ u + i ⋅ ∂ y ∂ v ) = − i ⋅ ∂ y ∂ u + ∂ y ∂ v . Equation (2) implies that
∂ u ∂ x = ∂ v ∂ y , ∂ v ∂ x = − ∂ u ∂ y .
\frac{\partial u}{ \partial x} = \frac{\partial v}{ \partial y}, \qquad \frac{\partial v}{ \partial x} = - \frac{\partial u}{ \partial y}.
∂ x ∂ u = ∂ y ∂ v , ∂ x ∂ v = − ∂ y ∂ u . These are the Cauchy-Riemann equations. The next theorem states that the converse is also true, i.e., when the equations are satisfies at some point z z z , then the derivative of f = u + i v f = u + iv f = u + i v exists.
Theorem. Let u , v : Ω → R u, v : \Omega \rightarrow \mathbb{R} u , v : Ω → R and f = u + i v f = u + iv f = u + i v . If u u u and v v v are continuously differentiable at z ∈ Ω z \in \Omega z ∈ Ω and satisfy Cauchy-Riemann equations, then the derivative of f f f exits.
Proof. Since u u u and v v v are continuously differentiable at z = ( x , y ) z = (x, y) z = ( x , y ) , for small Δ z = ( Δ x , Δ y ) ∈ R 2 \Delta z = (\Delta x, \Delta y) \in \mathbb{R}^2 Δ z = ( Δ x , Δ y ) ∈ R 2 ,
u ( x + Δ x , y + Δ y ) − u ( x , y ) = ∂ u ∂ x ( z ) ⋅ Δ x + ∂ u ∂ y ( z ) ⋅ Δ y + ∥ Δ z ∥ 1 ⋅ Φ u ( Δ z ) , v ( x + Δ x , y + Δ y ) − u ( x , y ) = ∂ v ∂ x ( z ) ⋅ Δ x + ∂ v ∂ y ( z ) ⋅ Δ y + ∥ Δ z ∥ 1 ⋅ Φ v ( Δ z )
\begin{aligned}
u( x + \Delta x , y + \Delta y ) - u(x, y)
&= \frac{\partial u}{ \partial x}(z) \cdot \Delta x + \frac{\partial u}{ \partial y}(z) \cdot \Delta y + \Vert \Delta z \Vert_1 \cdot \Phi_u( \Delta z), \\
v( x + \Delta x , y + \Delta y ) - u(x, y)
&= \frac{\partial v}{ \partial x}(z) \cdot \Delta x + \frac{\partial v}{ \partial y}(z) \cdot \Delta y + \Vert \Delta z \Vert_1 \cdot \Phi_v( \Delta z)
\end{aligned}
u ( x + Δ x , y + Δ y ) − u ( x , y ) v ( x + Δ x , y + Δ y ) − u ( x , y ) = ∂ x ∂ u ( z ) ⋅ Δ x + ∂ y ∂ u ( z ) ⋅ Δ y + ∥Δ z ∥ 1 ⋅ Φ u ( Δ z ) , = ∂ x ∂ v ( z ) ⋅ Δ x + ∂ y ∂ v ( z ) ⋅ Δ y + ∥Δ z ∥ 1 ⋅ Φ v ( Δ z ) where Φ u ( Δ z ) → 0 \Phi_u( \Delta z) \rightarrow 0 Φ u ( Δ z ) → 0 and Φ v ( Δ z ) → 0 \Phi_v( \Delta z) \rightarrow 0 Φ v ( Δ z ) → 0 as ∥ Δ z ∥ 1 → 0 \Vert \Delta z \Vert_1 \rightarrow 0 ∥Δ z ∥ 1 → 0 .
Therefore,
f ( z + Δ z ) − f ( z ) = u ( x + Δ x , y + Δ y ) − u ( x , y ) + i ( v ( x + Δ x , y + Δ y ) − u ( x , y ) ) = ∂ u ∂ x ( z ) ⋅ ( Δ x + i Δ y ) + ∂ u ∂ y ( z ) ⋅ ( Δ y − i Δ x ) + ∥ Δ z ∥ 1 ⋅ ( Φ u ( Δ z ) + Φ v ( Δ z ) ) = ( ∂ u ∂ x ( z ) − i ∂ u ∂ y ( z ) ) ⋅ ( Δ x + i Δ y ) + ∥ Δ z ∥ 1 ⋅ ( Φ u ( Δ z ) + Φ v ( Δ z ) ) ,
\small
\begin{aligned}
f( z + \Delta z ) - f( z )
&= u( x + \Delta x , y + \Delta y ) - u(x, y) + i \Big( v( x + \Delta x , y + \Delta y ) - u(x, y) \Big) \\
&= \frac{\partial u}{ \partial x}(z) \cdot \big( \Delta x + i \Delta y \big) + \frac{\partial u}{ \partial y}(z) \cdot \big( \Delta y - i \Delta x \big) + \Vert \Delta z \Vert_1 \cdot \Big( \Phi_u( \Delta z) + \Phi_v( \Delta z) \Big) \\
&= \Big( \frac{\partial u}{ \partial x}(z) - i \frac{\partial u}{ \partial y}(z) \Big) \cdot \big( \Delta x + i \Delta y \big) + \Vert \Delta z \Vert_1 \cdot \Big( \Phi_u( \Delta z) + \Phi_v( \Delta z) \Big),
\end{aligned}
f ( z + Δ z ) − f ( z ) = u ( x + Δ x , y + Δ y ) − u ( x , y ) + i ( v ( x + Δ x , y + Δ y ) − u ( x , y ) ) = ∂ x ∂ u ( z ) ⋅ ( Δ x + i Δ y ) + ∂ y ∂ u ( z ) ⋅ ( Δ y − i Δ x ) + ∥Δ z ∥ 1 ⋅ ( Φ u ( Δ z ) + Φ v ( Δ z ) ) = ( ∂ x ∂ u ( z ) − i ∂ y ∂ u ( z ) ) ⋅ ( Δ x + i Δ y ) + ∥Δ z ∥ 1 ⋅ ( Φ u ( Δ z ) + Φ v ( Δ z ) ) , which finishes the proof.
□ \square □
Reference
[1] E. M. Stein and R. Shakarchi, Complex analysis. Princeton, N.J: Princeton University Press, 2003.
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