c.curionodeThe Fields Archive

1998 · Probability & dynamics

Find the geometry hidden in iteration

Repeated complex maps reveal stable regions, delicate boundaries and structures that reappear at different scales.

1998Fields Medal
Find the geometry hidden in iteration: Repeated complex maps reveal stable regions, delicate boundaries and structures that reappear at different scales.
Original AI-generated infographic by Curionode. Read the text version below for the full explanation.
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  1. Iterate

    Follow repeated application of a complex map.

  2. Rescale

    Extract a smaller system and compare its rule across scales.

  3. Control

    Use geometric estimates to distinguish flexibility from rigidity.

The work strengthened links between complex dynamics and low-dimensional geometry, giving rigorous ways to study self-similarity, parameter spaces and the rigidity of intricate dynamical patterns.

Visual self-similarity alone proves no dynamical theorem; renormalisation and rigidity results apply to carefully specified maps and parameter regimes, not every fractal image.

01 · The idea

In everyday language

Take a complex number and repeatedly apply a function such as a polynomial. Nearby starting points may remain close, escape or develop radically different futures. The resulting dynamical picture depends on the function’s parameters. McMullen used complex analysis, geometry and renormalisation to investigate these behaviours and their rigidity. Renormalisation isolates a smaller dynamical system and compares it with the original at a new scale; geometric control makes this comparison more than a visual analogy. His broader programme connects these questions with hyperbolic three-manifolds, revealing shared structures across subjects that at first seem unrelated.

Why it matters

The work strengthened links between complex dynamics and low-dimensional geometry, giving rigorous ways to study self-similarity, parameter spaces and the rigidity of intricate dynamical patterns.

02 · The people

Who brought the idea to life?

Illustrated portrait of Curtis McMullen

Curtis McMullen

Curtis McMullen was born in Berkeley, California, and was affiliated with Harvard when he received the 1998 Fields Medal. His research joined complex dynamics with hyperbolic geometry and the study of three-dimensional manifolds. He investigated what repeated application of a complex function can reveal about stability, rigidity and self-similarity, and developed deep connections with spaces of geometric structures. His medal also recognised advances in geometrisation, including work on cusp density and theta functions. Across these subjects, he used the geometry of parameter spaces to distinguish flexible behaviour from rigid patterns. His work makes the shapes of dynamical systems part of the explanation rather than merely an illustration.

Read the biography ↗

03 · Read further

From the original sources

Original explanations based on the official award record. The subject label is an editorial navigation aid.

  1. Official IMU citation: Curtis McMullen ↗www.mathunion.org
  2. Heidelberg Laureate Forum: Curtis McMullen ↗www.heidelberg-laureate-forum.org
  3. Harvard: Curtis McMullen ↗abel.math.harvard.edu