May–Wigner stability theorem
E548444
The May–Wigner stability theorem is a result in theoretical ecology and random matrix theory showing that large, complex systems with many random interactions are generically unstable beyond a critical level of complexity.
All labels observed (1)
| Label | Occurrences |
|---|---|
| May–Wigner stability theorem canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5823697 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: May–Wigner stability theorem Context triple: [Stability and Complexity in Model Ecosystems, relatedConcept, May–Wigner stability theorem]
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A.
Szegő limit theorem
The Szegő limit theorem is a fundamental result in analysis and operator theory that describes the asymptotic behavior of determinants of large Toeplitz matrices in terms of the symbol’s integral.
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B.
Routh–Hurwitz stability criterion
The Routh–Hurwitz stability criterion is a mathematical test in control theory that determines whether all roots of a system’s characteristic polynomial lie in the left half of the complex plane, ensuring system stability without explicitly computing the roots.
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C.
Gelfand–Levitan theory
Gelfand–Levitan theory is a foundational framework in inverse spectral theory that reconstructs differential operators or potentials from their spectral data using integral equations.
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D.
Hermite–Biehler theorem
The Hermite–Biehler theorem is a result in complex analysis and control theory that characterizes when a complex polynomial has all its zeros in the open upper half-plane in terms of the interlacing of zeros of two associated real polynomials.
-
E.
Israel–Carter–Robinson uniqueness theorems
The Israel–Carter–Robinson uniqueness theorems are a set of results in general relativity showing that stationary, asymptotically flat black holes in four-dimensional spacetime are completely characterized by just their mass, charge, and angular momentum.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: May–Wigner stability theorem Target entity description: The May–Wigner stability theorem is a result in theoretical ecology and random matrix theory showing that large, complex systems with many random interactions are generically unstable beyond a critical level of complexity.
-
A.
Szegő limit theorem
The Szegő limit theorem is a fundamental result in analysis and operator theory that describes the asymptotic behavior of determinants of large Toeplitz matrices in terms of the symbol’s integral.
-
B.
Routh–Hurwitz stability criterion
The Routh–Hurwitz stability criterion is a mathematical test in control theory that determines whether all roots of a system’s characteristic polynomial lie in the left half of the complex plane, ensuring system stability without explicitly computing the roots.
-
C.
Gelfand–Levitan theory
Gelfand–Levitan theory is a foundational framework in inverse spectral theory that reconstructs differential operators or potentials from their spectral data using integral equations.
-
D.
Hermite–Biehler theorem
The Hermite–Biehler theorem is a result in complex analysis and control theory that characterizes when a complex polynomial has all its zeros in the open upper half-plane in terms of the interlacing of zeros of two associated real polynomials.
-
E.
Israel–Carter–Robinson uniqueness theorems
The Israel–Carter–Robinson uniqueness theorems are a set of results in general relativity showing that stationary, asymptotically flat black holes in four-dimensional spacetime are completely characterized by just their mass, charge, and angular momentum.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
mathematical theorem
ⓘ
result in random matrix theory ⓘ result in theoretical ecology ⓘ |
| analyzes | real parts of eigenvalues of the community matrix ⓘ |
| appliesTo |
ecological communities
ⓘ
large dynamical systems ⓘ |
| assumes |
entries of the interaction matrix are independent random variables with zero mean
ⓘ
large system size ⓘ linearization around an equilibrium ⓘ random interactions between components ⓘ |
| concerns |
local stability of equilibria
ⓘ
random interaction matrices ⓘ stability of large complex systems ⓘ |
| field |
complex systems theory
ⓘ
random matrix theory ⓘ theoretical ecology ⓘ |
| givesCondition |
S·C·σ < 1 for all eigenvalues to have negative real part in a common variant
ⓘ
S·C·σ² < 1 for local stability in May’s original formulation ⓘ |
| hasConsequence |
challenges the idea that complexity always promotes stability
ⓘ
motivated research on structured interaction networks ⓘ motivated study of non‑random interaction patterns in ecology ⓘ |
| hasParameter |
connectance C
ⓘ
number of species S ⓘ standard deviation of interaction strengths σ ⓘ |
| implies | increasing complexity tends to reduce stability ⓘ |
| influencedField |
ecological network theory
ⓘ
engineering of complex networks ⓘ systems biology ⓘ |
| inspiredBy |
Wigner’s semicircle law
NERFINISHED
ⓘ
Wigner’s work on random matrices in nuclear physics ⓘ |
| introducedBy | Robert M. May NERFINISHED ⓘ |
| namedAfter |
Eugene Wigner
NERFINISHED
ⓘ
Robert May NERFINISHED ⓘ |
| originalContext | stability and complexity in model ecosystems ⓘ |
| predicts |
critical complexity threshold for stability
ⓘ
loss of stability when complexity exceeds a critical value ⓘ |
| publicationYear | 1972 ⓘ |
| publishedIn | Nature NERFINISHED ⓘ |
| relates |
stability to connectance
ⓘ
stability to interaction strength ⓘ stability to system size ⓘ |
| stabilityCriterion | all eigenvalues must have negative real parts for local stability ⓘ |
| states | large complex systems with sufficiently strong random interactions are generically unstable ⓘ |
| typeOf | linear stability result ⓘ |
| usesConcept |
Jacobian matrix
NERFINISHED
ⓘ
circular law ⓘ community matrix ⓘ eigenvalue spectrum ⓘ random matrices with independent entries ⓘ |
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Subject: May–Wigner stability theorem Description of subject: The May–Wigner stability theorem is a result in theoretical ecology and random matrix theory showing that large, complex systems with many random interactions are generically unstable beyond a critical level of complexity.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.