Khinchin's law of the iterated logarithm

E378993

Khinchin's law of the iterated logarithm is a fundamental result in probability theory that precisely characterizes the almost-sure fluctuations of partial sums of independent random variables on the scale of the square root of twice the product of their variance and the iterated logarithm of the sample size.

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Predicate Object
instanceOf law of the iterated logarithm
probability theorem
result in probability theory
appliesTo independent identically distributed random variables with zero mean
random variables with finite nonzero variance
assumes finite second moment
identical distribution of the summands
independence of the summands
characterizes almost-sure fluctuations of partial sums of independent random variables
comparesWith central limit theorem scaling sqrt(n)
strong law of large numbers scaling n
concerns almost sure convergence properties
partial sums of random variables
describes asymptotic behavior of normalized partial sums
limiting envelope of normalized random walk paths
field probability theory
stochastic processes
gives exact liminf behavior of normalized partial sums
exact limsup behavior of normalized partial sums
givesInformationOn maximal fluctuations of partial sums
oscillatory behavior of sums around zero
historicalPeriod early 20th century
implies liminf of S_n divided by sqrt(2 σ² n log log n) equals -1 almost surely
limsup of S_n divided by sqrt(2 σ² n log log n) equals 1 almost surely
isFormulatedFor partial sums S_n = X_1 + ... + X_n
isRelatedTo Brownian motion
Donsker's invariance principle
Khinchin's law of the iterated logarithm self-linksurface differs
surface form: Hartman–Wintner law of the iterated logarithm

Kolmogorov's law of the iterated logarithm
functional law of the iterated logarithm
isSpecialCaseOf Kolmogorov's law of the iterated logarithm
isUsedIn asymptotic analysis of stochastic processes
empirical process theory
limit theory of random walks
probabilistic number theory
statistics of extremes of partial sums
namedAfter Aleksandr Khinchin
normalizationInvolves square root of 2 σ² n log log n
refines central limit theorem
law of large numbers
surface form: strong law of large numbers
requires nondegenerate variance
scaleOfFluctuations square root of twice the variance times the iterated logarithm of sample size
strengthens information provided by the central limit theorem about fluctuations
information provided by the strong law of large numbers about convergence
typeOfLimit almost sure limit theorem
usesFunction iterated logarithm log log n

Referenced by (4)

Full triples — surface form annotated when it differs from this entity's canonical label.

Aleksandr Khinchin notableWork Khinchin's law of the iterated logarithm
Aleksandr Khinchin notableIdea Khinchin's law of the iterated logarithm
Khinchin notableFor Khinchin's law of the iterated logarithm
subject surface form: Aleksandr Khinchin
Khinchin's law of the iterated logarithm isRelatedTo Khinchin's law of the iterated logarithm self-linksurface differs
this entity surface form: Hartman–Wintner law of the iterated logarithm