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Worked solution: De Branges's proof of the Bieberbach conjecture via Milin's conjecture (1984)

Step 3 of 8: Embed the problem in Loewner's theory of slit mappings
In plain words

In 1923, Karl Loewner realized that a univalent map onto the plane minus a growing slit can be built up continuously in time, starting from the identity map and evolving according to a simple differential equation driven by a single point κ(t)\kappa(t) moving around the unit circle.

This turns a static question about one function's coefficients into a dynamic question about how a whole family of functions evolves over time, opening the door to calculus-based tools that a purely algebraic approach could never use.

∂f∂t(z,t)=zf′(z,t) 1−κ(t)z1+κ(t)z,∣κ(t)∣=1\frac{\partial f}{\partial t}(z,t) = z f'(z,t)\,\frac{1-\kappa(t)z}{1+\kappa(t)z}, \qquad |\kappa(t)| = 1
Detailed analysis

De Branges embedded the extremal problem in Karl Loewner's 1923 theory of slit mappings: every candidate extremal function arises as the limit of a Loewner chain f(z,t)f(z,t) satisfying ∂f∂t(z,t)=zf′(z,t) 1−κ(t)z1+κ(t)z\frac{\partial f}{\partial t}(z,t) = z f'(z,t)\,\frac{1-\kappa(t)z}{1+\kappa(t)z} with ∣κ(t)∣=1|\kappa(t)| = 1, starting from f(z,0)=f(z)f(z,0) = f(z) and converging to the identity-like map etze^t z as t→∞t \to \infty.

Milin's inequality is equivalent to a monotonicity statement for an auxiliary system of weight functions σk(t)\sigma_k(t) attached to this flow: if σk(t)\sigma_k(t) can be shown to be non-increasing in tt for every kk, then evaluating at the endpoints t=0t=0 and t→∞t \to \infty recovers exactly Milin's inequality.

Defining these weight functions precisely, and showing what their monotonicity reduces to algebraically, is the task of the next step.

Terms in this step
Loewner chain
A family of univalent functions f(z,t)f(z,t) evolving continuously in a time parameter t≥0t \ge 0 according to Loewner's differential equation, starting at the function of interest and ending at a simple map, used to turn a static extremal problem into one about a differential equation.
Knowledge used in this step