Math 2.0

Dynamical systems and ergodic theory Ergodic theory Theorem

Kingman's subadditive ergodic theorem

Builds on Measure-preserving transformationProbability spaceIntegrable functionAlmost everywhereErgodic transformationBirkhoff's ergodic theoremFekete's lemmaLyapunov exponent

Statement

Let (X,𝒜,μ)(X, \mathcal{A}, \mu) be a probability space and let T ⁣:X→XT \colon X \to X be a measure-preserving transformation. Let (fn)n≥1(f_n)_{n \ge 1} be integrable functions fn ⁣:X→ℝf_n \colon X \to \R that are subadditive along TT: fm+n≤fm+fn∘Tmalmost everywhere, for all m,n≥1.f_{m+n} \le f_m + f_n \circ T^m \quad \text{almost everywhere, for all } m, n \ge 1. Let γ=inf⁡n≥11n∫Xfn dμ\gamma = \inf_{n \ge 1} \frac{1}{n} \int_X f_n \, d\mu, an element of [−∞,∞)[-\infty, \infty). Then:

  1. fn/nf_n / n converges almost everywhere to a function g ⁣:X→[−∞,∞)g \colon X \to [-\infty, \infty) with g∘T=gg \circ T = g almost everywhere;
  2. ∫Xg dμ=γ\int_X g \, d\mu = \gamma, and if γ>−∞\gamma > -\infty, then fn/n→gf_n / n \to g in L1(μ)L^1(\mu);
  3. if TT is ergodic, then g=γg = \gamma almost everywhere.

Remarks

If fn=∑k=0n−1f∘Tkf_n = \sum_{k=0}^{n-1} f \circ T^k for an integrable ff, then equality holds in the subadditivity condition, and the theorem reduces to Birkhoff's ergodic theorem. The integrals an=∫Xfn dμa_n = \int_X f_n \, d\mu form a subadditive sequence, am+n≤am+ana_{m+n} \le a_m + a_n, so an/n→γa_n / n \to \gamma by Fekete's lemma; the theorem is the pointwise version of this fact. In the proof, the function lim inf⁡nfn/n\liminf_n f_n / n is shown to be invariant. A covering argument cuts a long orbit segment into blocks on which fk/kf_k / k is close to this lim inf⁡\liminf. Subadditivity then bounds fNf_N by the sum over the blocks.

Example: let A ⁣:X→GLd(ℝ)A \colon X \to GL_d(\R) be measurable with log⁡+∥A∥\log^+ \norm{A} and log⁡+∥A−1∥\log^+ \norm{A^{-1}} integrable, and let fn(x)=log⁡∥A(Tn−1(x))⋯A(T(x))A(x)∥f_n(x) = \log \norm{A(T^{n-1}(x)) \cdots A(T(x)) A(x)}. Submultiplicativity of the operator norm gives fm+n≤fm+fn∘Tmf_{m+n} \le f_m + f_n \circ T^m, and the two integrability conditions make each fnf_n integrable. For ergodic TT, the theorem gives the almost sure limit of fn/nf_n / n, the top Lyapunov exponent of the matrix cocycle; this is the Furstenberg–Kesten theorem.

Going deeper

For a student

Kingman proved the theorem in 1968. It extends Birkhoff's theorem from additive to subadditive sequences. It is the main tool for the existence of Lyapunov exponents, as in the Furstenberg–Kesten theorem and in the proof of the Oseledets multiplicative ergodic theorem. Another standard use is the time constant of first-passage percolation, where travel times between points are subadditive but not additive.

Reading path

To understand this page from the ground up, read these 100 pages in order. The foundations come first.

  1. Almost everywhere concept
  2. Birkhoff sum and average concept
  3. Conditional expectation concept
  4. Construction of the reals from Cauchy sequences concept
  5. Element definition
  6. Ergodic transformation concept
  7. Hilbert space concept
  8. Integers object
  9. Integrable function concept
  10. Limit of a sequence concept
  11. Lp space concept
  12. Lyapunov exponent concept
  13. Measure-preserving transformation concept
  14. Ordered field definition
  15. Orthogonal complement concept
  16. Orthogonal projection concept
  17. Probability space concept
  18. Proposition concept
  19. Random experiment concept
  20. Rational numbers object
  21. Real numbers object
  22. Sequence definition
  23. Set bounded above definition
  24. Unitary operator concept
  25. Set definition
  26. Ring of integers statement
  27. Maximal ergodic theorem statement
  28. von Neumann mean ergodic theorem statement
  29. Disjunction definition
  30. Implication definition
  31. Predicate definition
  32. Real sequence definition
  33. Infimum definition
  34. Supremum definition
  35. Ordered pair definition
  36. Union definition
  37. Existential quantifier definition
  38. Universal quantifier definition
  39. Fekete's lemma statement
  40. Sample space definition
  41. The rationals form a field statement
  42. Completeness axiom statement
  43. Cartesian product definition
  44. Uniqueness quantifier definition
  45. Subset definition
  46. Existence of square roots of nonnegative reals statement
  47. The rationals form an ordered field statement
  48. Binary relation definition
  49. Universal set definition
  50. Power set definition
  51. Square root definition
  52. Order on the reals definition
  53. Function definition
  54. Complement definition
  55. Interval definition
  56. Injective function definition
  57. Preimage of a set definition
  58. Sigma-algebra definition
  59. Countable set definition
  60. Event definition
  61. Borel sigma-algebra definition
  62. Probability axioms concept
  63. Probability measure definition
  64. Probability distribution definition
  65. Probability space definition
  66. Almost surely definition
  67. Conditional probability definition
  68. Random variable definition
  69. Monotonicity of probability statement
  70. Almost sure convergence definition
  71. Discrete random variable definition
  72. Independence of two events definition
  73. Law of a random variable definition
  74. Convergence in probability definition
  75. Random variable with a density definition
  76. Mutual independence of events definition
  77. Joint probability distribution definition
  78. Independence of two random variables definition
  79. Expected value definition
  80. Identically distributed random variables definition
  81. Independent sigma-algebras definition
  82. Marginal distribution definition
  83. Variance definition
  84. Linearity of expectation statement
  85. Markov's inequality statement
  86. Independence of random variables definition
  87. Independence means the joint law is the product of the marginals statement
  88. Covariance definition
  89. Standard deviation definition
  90. Expectation of a product of independent random variables statement
  91. Independent and identically distributed random variables definition
  92. Variance of a sum statement
  93. Chebyshev's inequality statement
  94. Law of large numbers concept
  95. Independent random variables are uncorrelated statement
  96. Variance of a sum of independent random variables statement
  97. Weak law of large numbers statement
  98. Strong law of large numbers statement
  99. Birkhoff's ergodic theorem statement
  100. Kingman's subadditive ergodic theorem statement

Where this leads

2 pages build on this one.

Further reading

  1. Web https://en.wikipedia.org/wiki/Kingman%27s_subadditive_ergodic_theorem
About this page
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Kindstatement, theorem
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AboutMeasure-preserving transformation
UsesMeasure-preserving transformation, Probability space, Integrable function, Almost everywhere, Ergodic transformation, Birkhoff's ergodic theorem, Fekete's lemma, Lyapunov exponent
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