Bernstein inequalities
E354909
Bernstein inequalities are fundamental results in approximation theory and probability that provide bounds on the derivatives or deviations of functions and random variables under certain smoothness or moment conditions.
All labels observed (7)
How this entity was disambiguated
This entity first appeared as the object of triple T3393992 — 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: Bernstein inequalities Context triple: [Felix Bernstein, notableWork, Bernstein inequalities]
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A.
Khinchin–Kahane type inequalities
Khinchin–Kahane type inequalities are fundamental results in probability and functional analysis that bound moments or norms of random series (often with Rademacher or Gaussian coefficients) in terms of each other, providing powerful tools for studying the geometry of Banach spaces and random processes.
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B.
Carathéodory–Fejér interpolation
Carathéodory–Fejér interpolation is a classical result in complex analysis and approximation theory that concerns constructing analytic functions, typically with bounded or positive real part, that match prescribed initial Taylor coefficients.
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C.
Hadamard three-circle theorem
The Hadamard three-circle theorem is a result in complex analysis that describes how the maximum modulus of a holomorphic function behaves logarithmically between three concentric circles in the complex plane.
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D.
Grothendieck inequality
The Grothendieck inequality is a fundamental result in functional analysis and theoretical computer science that bounds certain bilinear forms and has deep implications for Banach space theory, operator theory, and approximation algorithms.
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E.
Chebyshev functions
Chebyshev functions are arithmetic functions in number theory that encode information about the distribution of prime numbers and play a key role in analytic approaches to the prime number theorem.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Bernstein inequalities Target entity description: Bernstein inequalities are fundamental results in approximation theory and probability that provide bounds on the derivatives or deviations of functions and random variables under certain smoothness or moment conditions.
-
A.
Khinchin–Kahane type inequalities
Khinchin–Kahane type inequalities are fundamental results in probability and functional analysis that bound moments or norms of random series (often with Rademacher or Gaussian coefficients) in terms of each other, providing powerful tools for studying the geometry of Banach spaces and random processes.
-
B.
Carathéodory–Fejér interpolation
Carathéodory–Fejér interpolation is a classical result in complex analysis and approximation theory that concerns constructing analytic functions, typically with bounded or positive real part, that match prescribed initial Taylor coefficients.
-
C.
Hadamard three-circle theorem
The Hadamard three-circle theorem is a result in complex analysis that describes how the maximum modulus of a holomorphic function behaves logarithmically between three concentric circles in the complex plane.
-
D.
Grothendieck inequality
The Grothendieck inequality is a fundamental result in functional analysis and theoretical computer science that bounds certain bilinear forms and has deep implications for Banach space theory, operator theory, and approximation algorithms.
-
E.
Chebyshev functions
Chebyshev functions are arithmetic functions in number theory that encode information about the distribution of prime numbers and play a key role in analytic approaches to the prime number theorem.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
approximation theory result
ⓘ
mathematical inequality ⓘ probability inequality ⓘ |
| appliesTo |
functions with bounded derivatives
ⓘ
independent random variables ⓘ polynomials on a bounded interval ⓘ |
| characterizedBy |
dependence on variance and uniform bound of random variables
ⓘ
exponential decay of tail probabilities ⓘ trade-off between variance term and maximal bound term ⓘ |
| field |
approximation theory
ⓘ
probability theory ⓘ |
| givesUpperBoundOn |
supremum norm of derivatives of polynomials
ⓘ
tail probabilities of sums of random variables ⓘ |
| hasVariant |
Bernstein inequalities
self-linksurface differs
ⓘ
surface form:
Bernstein inequality for polynomials
Bernstein inequalities self-linksurface differs ⓘ
surface form:
Bernstein inequality on compact sets
Bernstein inequalities self-linksurface differs ⓘ
surface form:
Bernstein inequality on the circle
Bernstein inequalities self-linksurface differs ⓘ
surface form:
Bernstein inequality on the real line
Bernstein inequalities self-linksurface differs ⓘ
surface form:
Bernstein-type concentration inequality
classical Bernstein inequality for sums of independent random variables ⓘ matrix Bernstein inequality ⓘ |
| namedAfter | Sergei Natanovich Bernstein ⓘ |
| provides |
bounds on derivatives of polynomials
ⓘ
bounds on deviations of sums of random variables ⓘ |
| relatedTo |
Azuma–Hoeffding inequality
ⓘ
Bennett inequality ⓘ Bernstein polynomials ⓘ Chernoff bound ⓘ Chernoff bound ⓘ
surface form:
Hoeffding inequality
Markov brothers' inequalities ⓘ |
| requiresCondition |
bounded random variables or bounded moments
ⓘ
finite variance ⓘ smoothness conditions on functions ⓘ |
| typicalAssumption |
bounded support or sub-exponential tails
ⓘ
independence of summands ⓘ zero-mean random variables ⓘ |
| usedFor |
concentration of measure
ⓘ
confidence bounds for random sums ⓘ convergence rates of estimators ⓘ empirical process theory ⓘ error bounds in approximation theory ⓘ high-dimensional statistics ⓘ large deviations estimates ⓘ non-asymptotic probability bounds ⓘ statistical learning theory ⓘ uniform approximation of functions ⓘ |
| usedIn |
analysis of randomized algorithms
ⓘ
machine learning generalization bounds ⓘ risk bounds for empirical risk minimization ⓘ signal processing and harmonic analysis ⓘ |
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Subject: Bernstein inequalities Description of subject: Bernstein inequalities are fundamental results in approximation theory and probability that provide bounds on the derivatives or deviations of functions and random variables under certain smoothness or moment conditions.
Referenced by (7)
Full triples — surface form annotated when it differs from this entity's canonical label.