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LOCAL ACTIVITY IS THE ORIGIN OF COMPLEXITY
Abstract
Many scientists have struggled to uncover the elusive origin of "complexity", and its many equivalent jargons, such as emergence, self-organization, synergetics, collective behaviors, nonequilibrium phenomena, etc. They have provided some qualitative, but not quantitative, characterizations of numerous fascinating examples from many disciplines. For example, Schrödinger had identified "the exchange of energy" from open systems as a necessary condition for complexity. Prigogine has argued for the need to introduce a new principle of nature which he dubbed "the instability of the homogeneous". Turing had proposed "symmetry breaking" as an origin of morphogenesis. Smale had asked what "axiomatic" properties must a reaction–diffusion system possess to make the Turing interacting system oscillate. The purpose of this paper is to show that all the jargons and issues cited above are mere manifestations of a new fundamental principle called local activity, which is mathematically precise and testable. The local activity theorem provides the quantitative characterization of Prigogine's "instability of the homogeneous" and Smale's quest for an axiomatic principle on Turing instability. Among other things, a mathematical proof is given which shows none of the complexity-related jargons cited above is possible without local activity. Explicit mathematical criteria are given to identify a relatively small subset of the locally-active parameter region, called the edge of chaos, where most complex phenomena emerge.
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Cites
The chemical basis of morphogenesis
Turing, A. M. (1952) · Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences · doi:10.1098/rstb.1952.0012 · Cited by 11,733
Cited by
MUTHUSWAMY, B., & CHUA, L. O. (2010) · International Journal of Bifurcation and Chaos · doi:10.1142/s0218127410027076 · Cited by 514
Self-citationMemristor, Hodgkin–Huxley, and Edge of Chaos
Chua, L. (2013) · Nanotechnology · doi:10.1088/0957-4484/24/38/383001 · Cited by 253
Self-citationNonlinearity in memristors for neuromorphic dynamic systems
Yang, K., Joshua Yang, J., Huang, R., & Yang, Y. (2022) · Small Science · doi:10.1002/smsc.202100049 · Cited by 151
The Art and Science of Constructing a Memristor Model
Williams, R. S., & Pickett, M. D. (2014) · Memristors and Memristive Systems · doi:10.1007/978-1-4614-9068-5_3 · Cited by 13
Metadata
- Authors
- CHUA, L. O.
- Venue
- International Journal of Bifurcation and Chaos
- Publisher
- World Scientific Pub Co Pte Ltd
- Published
- 2005-11
- Volume
- 15
- Issue
- 11
- Pages
- 3435-3456
- ISSN
- 0218-1274 (ISSN-L)
- 1793-6551
- OpenAlex
- W2018341541
- Cited by
- 325
- References
- 1
- FWCI
- 2.70
- Type
- journal article
- Language
- en
- Open access
- closed
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