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53 pages 1 hour read

Chaos: Making a New Science

Nonfiction | Book | Adult | Published in 1987

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Key Figures

James Gleick (The Author)

Journalist and science historian James Gleick (born in 1954) has written about information technology and time travel in addition to chaos science. Chaos: Making a New Science remains his most well-known and influential work. The book sparked public interest in the complex science of chaos and paved the way for popular cultural interpretations of the theory. In Chaos, Gleick’s objective is not only to elucidate a basic understanding of chaos theory and its origins but also to humanize the various scientists working in this emerging field.

Chaos reveals Gleick’s fascination with emerging systems thought and its application despite initial setbacks, challenges, and risks. In the second chapter of the book, Gleick notes that the people first drawn to the field of chaos faced significant struggles: “Every scientist who turned to chaos early had a story to tell of discouragement or open hostility” (37). For graduate students, there were no mentors to whom to turn, and no particular career prospects after their years of study; for older professors, they were risking reputation and respect in pursuing such an unproven set of ideas. It is a testament, as Gleick repeatedly emphasizes, to the promise of chaos science that most of these early innovators stuck with their research, even in the face of such discouragement. As Gleick reports, many of the scientists first working on chaos felt that “they were witnessing a true paradigm shift, a transformation in a way of thinking” (37). Pursuing this was worth the apparent risk.

In addition, he implicitly addresses his role as a science historian within this telling: “Historians of science often take for granted an efficient market theory of their own,” which assumes that each particular discovery leads to the next, and so “[s]cience rises like a building, brick by brick” (181). He criticizes the overly “linear” nature of these kinds of stories: “[T]he history of ideas is not always so neat” (181). In this way, he both indicates how his own book is different—it will engage with the complications and chronologically messy developments of this particular science—and tacitly connects his work to that of the chaos scientists themselves. Chaos the echoes chaos the science through its nonlinear and recursive narrative.

Gleick also endeavors to level the playing field within the disparate groups of scientists he includes in his account. He acknowledges that “prestige accumulates on the theorist’s side of the table” (125); thus, he spends time acknowledging the significant contributions made by experimenters. That is, like a chaos scientist himself, Gleick appreciates the interdisciplinary nature of the project, that the goals of theorists like Mitchell Fiegenbaum were inseparable from the goals of experimenters like Albert Libchaber. He concludes, “Chaos was the set of ideas persuading all these scientists that they were members of a shared enterprise” (307). In their interdisciplinary discoveries, they paved the way for a new science, one that has expanded the understanding of how the universe works.

Edward Lorenz

Mathematician and meteorologist Edward Norton Lorenz (1917-2008) developed a theoretical foundation for the predictability of weather and climate. He won the 1991 Kyoto Prize for his work in earth and planetary sciences and is best known for pioneering the field of chaos theory in mathematics. Gleick’s book focuses on Lorenz’s 1969 description of the “butterfly effect,” or the idea that small changes can have large consequences. In 1983, he and his colleague Henry Stommel were awarded the Swedish Academy of Sciences Crafoord Award for the importance of their work in “deterministic chaos.” In addition, Lorenz won the 1991 Kyoto Prize for his work in earth and planetary sciences.

Stephen Smale

Mathematician Stephen Smale (born in 1930) is known for his research in dynamical systems, topology, and mathematical economics. He served on the mathematics faculty of University of California, Berkeley, for three decades. His study of pendulums, which led to his “horseshoe” theory, is Gleick’s focus in the book.

Robert May

Baron May of Oxford, Robert May (1936-2020) was an esteemed Australian scientist who served as a professor at University of Sydney and Princeton University. His early career was marked by an interest in the dynamics of animal populations. By applying mathematical techniques, he made major advances in the field of population biology (which is Gleick’s focus in the book), and his work influenced the development of theoretical ecology. He applied these tools to the study of disease and biodiversity as well.

Benoit Mandelbrot

Mathematician and polymath Benoit Mandelbrot (1924-2010) coined the term “fractal” and is known for his contributions to the field of fractal geometry. In addition to working for IBM for 35 years, he taught economics and applied sciences at Harvard University. His interest in the concept of infinite variations within a finite space, and his use of computer graphics to display fractal geometric images led to his 1980 discovery of how simple rules can create visual complexity, which became known as the Mandelbrot set and is the focus of the book’s exploration of his contribution to chaos science.

Mitchell Fiegenbaum

A mathematical physicist, Mitchell Jay Fiegenbaum (1944-2019) taught at several universities and worked at Los Alamos National Laboratory in New Mexico to study turbulence in fluids. His research contributed to the development of chaos theory through insights into dynamical systems that can generate chaotic maps, applying fractal geometry. He helped pioneer and bridge theoretical and experimental mathematics, which won him and colleague the Wolf Prize. His work showing a strange attractor following an orderly and stable set of rules is Gleick’s focus in the book.

Albert Libchaber

A professor at The Rockefeller University, Albert Libchaber (born in 1934) became known for his work in experimental condensed matter physics. He conducted the first experimental observation of the bifurcation cascade that leads to chaos and turbulence in convective Rayleigh-Bénard systems by engraving microbolometers in the convective cell to observe temperature fluctuations without disturbing the environment. This work (the “Helium in a Small Box” experiment to which Gleick refers in the book) perfectly confirmed Mitchell Feigenbaum’s theoretical predictions. For this achievement, he and Feigenbaum were awarded the Wolf Prize in Physics in 1986.

Michael Barnsley

A mathematician, researcher, and entrepreneur, Michael Fielding Barnsley (born in 1946) holds a PhD in theoretical chemistry. He worked on fractal compression, patented the technology, and has published books on the subject. Gleick’s book focuses on how Barnsley’s work showed that even within infinite possibilities, nature organizes itself, and fundamental patterns repeat throughout natural systems.

Dynamical Systems Collective, or Chaos Cabal

A group of young scientists from University of California, Santa Cruz, the Dynamical Systems Collective, or Chaos Cabal, expanded on the understanding of chaos theory. They researched information theory and suggested (as Gleick describes in the book) that chaos itself is information and that dynamic systems generate both information and, counterintuitively, repeated patterns within seemingly chaotic outputs. The group’s members included Robert Stetson Shaw, J. Doyne Farmer, Norman Packard, and James Crutchfield.

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