Santa Fe
Institute
  • Research
    • Themes
    • Projects
    • SFI Press
    • Researchers
    • Publications
    • Library
    • Sponsored Research
    • Fellowships
    • Miller Scholarships
  • News + Events
    • News
    • Newsletters
    • Podcasts
    • SFI in the Media
    • Media Center
    • Events
    • Community
    • Journalism Fellowship
  • Education
    • Programs
    • Projects
    • Alumni
    • Complexity Explorer
    • Education FAQ
    • Postdoctoral Research
    • Education Supporters
  • People
    • Researchers
    • Fractal Faculty
    • Staff
    • Miller Scholars
    • Trustees
    • Governance
    • Resident Artists
    • Research Supporters
  • Applied Complexity
    • Office
    • Applied Projects
    • ACtioN
    • Applied Fellows
    • Studios
    • Applied Events
    • Login
  • Give
    • Give Now
    • Ways to Give
    • Contact
  • About
    • About SFI
    • Engage
    • Complex Systems
    • FAQ
    • Campuses
    • Jobs
    • Contact
    • Library
    • Employee Portal

Science for a Complex World

Events

Here's what's happening

Give

You make SFI possible

Subscribe

Sign up for research news

Connect

Follow us on social media

© 2026 Santa Fe Institute. All rights reserved. This site is supported by the Miller Omega Program.

Home / News

When is a basin of attraction like an octopus?

Two-dimensional slices of state space reveal the intricacy of basin geometry. (Fig. 4, doi.org/10.1103/PhysRevLett.127.194101)
November 3, 2021

Mathematicians who study dynamical systems often focus on the rules of attraction. Namely, how does the choice of the starting point affect where a system ends up? Some systems are easier to describe than others. A swinging pendulum, for example, will always land at the lowest point no matter where it starts.

In dynamical systems research, a “basin of attraction” is the set of all the starting points — usually close to one another — that arrive at the same final state as the system evolves through time. For straightforward systems like a swinging pendulum, the shape and size of a basin is comprehensible. Not so for more complicated systems: those with dimensions that reach into the tens or hundreds or higher can have wild geometries with fractal boundaries.

In fact, they may look like the tentacles of an octopus, according to new work by Yuanzhao Zhang, physicist and SFI Schmidt Science Fellow, and Steven Strogatz, a mathematician and writer at Cornell University. The convoluted geometries of these high-dimensional basins can’t be easily visualized, but in a new paper published in Physical Review Letters, the researchers describe a simple argument showing why basins in systems with multiple attractors should look like high-dimensional octopi. They make their argument by analyzing a simple model — a ring of oscillators that, despite only interacting locally, can produce myriad collective states such as in-phase synchronization. A high number of coupled oscillators will have many attractors, and therefore many basins.

“When you have a high-dimensional system, the tentacles dominate the basin size,” says Zhang.

Importantly, the new work shows that the volume of a high-dimensional basin can’t be correctly approximated by a hypercube, as tempting as it is. That’s because the hypercube fails to encompass the vast majority — more than 99% — of the points in the basin, which are strung out on tentacles.

The paper also suggests that the topic of high-dimensional basins is rife with potential for new exploration. “The geometry is very far from anything we know,” says Strogatz. “This is not so much about what we found as to remind people that so much is waiting to be found. This is the early age of exploration for basins.”

The work may also have real-world implications. Zhang points to the power grid as an example of important high-dimensional systems with multiple basins of attraction. Understanding which starting points lead to which outcomes may help engineers figure out how to keep the lights on.

“Depending on how you start your grid, it will either evolve to a normal operating state or a disruptive state — like a blackout,” Zhang says.

Read the paper, "Basins with Tentacles," in Physical Review Letters (November 2, 2021) DOI: 10.1103/PhysRevLett.127.194101





Share
  • Sign Up For SFI News
News Media Contact

Santa Fe Institute

Office of Communications
news@santafe.edu
505-984-8800



  • Tags
  • SFI News Release


More SFI News

View All News

Why noise may be the key to understanding cell group patterns

Reinventing democracy before it breaks

Do deep learning models recognize 3D shapes in the same way humans do?

Upending assumptions about learning, inspired by an AI phenomenon

Looking at AGI through the lens of natural intelligence

A simple baseline for AI forecasting in machine learning

Constantino Tsallis to co-chair the 2027 Nobel Symposium on Statistical Mechanics

How novelty arrives: Review of “The Origins of the New”

Working group asks, what’s the benefit of a brain?

Measuring irreversibility in gene transcription

ACtioN Academy engages industry leaders on AI and complexity

Arguing for a complex adaptive power grid

Mark Newman Awarded 2026 SIAM John von Neumann Prize

Review: Nonesuch, by SFI Miller Scholar Francis Spufford

Laurent Hébert-Dufresne to receive Young Scientist Award

What does it mean to compute?

Reassessing the scientific method

SFI External Professor Santiago Elena elected to the American Academy of Microbiology

From cells to companies: Study shows how diversity scales within complex systems

SFI Press launches “The Economy as an Evolving Complex System IV”