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Steven Strogatz

Steven Strogatz

· Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics, Stephen H. Weiss Presidential FellowVerified

Cornell University · Mathematics

Active 1981–2026

h-index89
Citations101.7k
Papers31648 last 5y
Funding$3.4M
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About

Steven Strogatz is the Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics and a Stephen H. Weiss Presidential Fellow at Cornell University. His academic interests encompass applied mathematics, with a focus on dynamical systems applied to physics, biology, and social science. His early work involved mathematical biology, exploring problems such as the geometry of supercoiled DNA, the dynamics of the human sleep-wake cycle, the topology of chemical waves, and the collective behavior of biological oscillators like swarms of fireflies. In the 1990s, his research concentrated on nonlinear dynamics and chaos, particularly in coupled oscillators found in lasers, superconducting Josephson junctions, and crickets, often collaborating closely with experimentalists. More recently, his work has expanded into areas such as social networks and complex systems, including the small-world phenomenon, crowd synchronization effects like the wobbling of London's Millennium Bridge, and the dynamics of structural balance in social systems. Beyond research, Strogatz is passionate about communicating mathematics to the public, having written columns for the New York Times, authored books like 'The Joy of x' and 'Infinite Powers,' and hosted a podcast called 'The Joy of Why,' aimed at exploring big questions in math and science.

Research topics

  • Computer Science
  • Mathematics
  • Combinatorics
  • Quantum mechanics
  • Distributed computing
  • Geometry
  • Physics
  • Mathematical physics
  • Computer network
  • Mathematical analysis
  • Discrete mathematics

Selected publications

  • Designing temporal networks that synchronize under resource constraints

    Nature Communications · 28 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Distributed computing

    Abstract Being fundamentally a non-equilibrium process, synchronization comes with unavoidable energy costs and has to be maintained under the constraint of limited resources. Such resource constraints are often reflected as a finite coupling budget available in a network to facilitate interaction and communication. Here, we show that introducing temporal variation in the network structure can lead to efficient synchronization even when stable synchrony is impossible in any static network under the given budget, thereby demonstrating a fundamental advantage of temporal networks. The temporal networks generated by our open-loop design are versatile in the sense of promoting synchronization for systems with vastly different dynamics, including periodic and chaotic dynamics in both discrete-time and continuous-time models. Furthermore, we link the dynamic stabilization effect of the changing topology to the curvature of the master stability function, which provides analytical insights into synchronization on temporal networks in general. In particular, our results shed light on the effect of network switching rate and explain why certain temporal networks synchronize only for intermediate switching rate.

  • Expander graphs are globally synchronizing

    Advances in Mathematics · 2026-01-19 · 2 citations

    preprintOpen access
  • Expander graphs are globally synchronizing

    Advances in Mathematics · 2026-01-19

    article
  • Lorenz Equations

    2024-01-03

    book-chapter1st authorCorresponding
  • Nonlinear Dynamics and Chaos

    2024-01-03 · 193 citations

    book1st authorCorresponding

    The goal of this third edition of Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering is the same as previous editions: to provide a good foundation - and a joyful experience - for anyone who’d like to learn about nonlinear dynamics and chaos from an applied perspective. The presentation stresses analytical methods, concrete examples, and geometric intuition. The theory is developed systematically, starting with first-order differential equations and their bifurcations, followed by phase plane analysis, limit cycles and their bifurcations, and culminating with the Lorenz equations, chaos, iterated maps, period doubling, renormalization, fractals, and strange attractors. The prerequisites are comfort with multivariable calculus and linear algebra, as well as a first course in physics. Ideas from probability, complex analysis, and Fourier analysis are invoked, but they're either worked out from scratch or can be safely skipped (or accepted on faith). Changes to this edition include substantial exercises about conceptual models of climate change, an updated treatment of the SIR model of epidemics, and amendments (based on recent research) about the Selkov model of oscillatory glycolysis. Equations, diagrams, and every word has been reconsidered and often revised. There are also about 50 new references, many of them from the recent literature. The most notable change is a new chapter. Chapter 13 is about the Kuramoto model. The Kuramoto model is an icon of nonlinear dynamics. Introduced in 1975 by the Japanese physicist Yoshiki Kuramoto, his elegant model is one of the rare examples of a high-dimensional nonlinear system that can be solved by elementary means. Students and teachers have embraced the book in the past, its general approach and framework continue to be sound.

  • Bifurcations

    2024-01-03

    book-chapter1st authorCorresponding
  • Fractals

    2024-01-03

    book-chapter1st authorCorresponding
  • Synchronization in random networks of identical phase oscillators: A graphon approach

    arXiv (Cornell University) · 2024-03-20

    preprintOpen access

    Networks of coupled nonlinear oscillators have been used to model circadian rhythms, flashing fireflies, Josephson junction arrays, high-voltage electric grids, and many other kinds of self-organizing systems. Recently, several authors have sought to understand how coupled oscillators behave when they interact according to a random graph. Here we consider interaction networks generated by a graphon model known as a $W$-random network, and examine the dynamics of an infinite number of identical phase oscillators. We show that with sufficient regularity on $W$, the solution to the dynamical system over a $W$-random network of size $n$ converges in the $L^{\infty}$ norm to the solution of the infinite graphon system, with high probability as $n\rightarrow\infty$. We leverage this convergence result to explore synchronization for two classes of identical phase oscillators on Erdős-Rényi random graphs. This result suggests a framework for studying synchronization properties in large but finite random networks.

  • One-Dimensional Maps

    2024-01-03

    book-chapter1st authorCorresponding
  • Kuramoto Model

    2024-01-03

    book-chapter1st authorCorresponding

Recent grants

Frequent coauthors

Education

  • Ph.D., Applied Mathematics

    Harvard University

    1986
  • M.A., Mathematics

    University of Cambridge

    1986
  • B.A., Mathematics

    University of Cambridge

    1982
  • A.B., Mathematics

    Princeton University

    1980

Awards & honors

  • Stephen H. Weiss Presidential Fellow
  • Cornell mathematician featured in Netflix film
  • Mathematician Steven Strogatz receives national award for sc…
  • Strogatz named finalist for Royal Society prize
  • Strogatz, Bethe research papers named to top-50 list
  • Resume-aware match score
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  • AI-drafted outreach

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