• When is a basin of attraction like an oc

    From ScienceDaily@1:317/3 to All on Thu Nov 4 21:30:34 2021
    When is a basin of attraction like an octopus?

    Date:
    November 4, 2021
    Source:
    Santa Fe Institute
    Summary:
    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. The researchers describe a simple argument showing
    why basins in systems with multiple attractors should look like
    high-dimensional octopi.



    FULL STORY ========================================================================== 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.

    ========================================================================== Story Source: Materials provided by Santa_Fe_Institute. Note: Content
    may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Yuanzhao Zhang, Steven H. Strogatz. Basins with Tentacles. Physical
    Review Letters, 2021; 127 (19) DOI: 10.1103/PhysRevLett.127.194101 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2021/11/211104115355.htm

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