Statistical Independence in Probability, Analysis and Number Theory
E92910
"Statistical Independence in Probability, Analysis and Number Theory" is a mathematical monograph by Mark Kac that explores the concept of independence across probability theory, real analysis, and number theory.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Statistical Independence in Probability, Analysis and Number Theory canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T787814 — 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: Statistical Independence in Probability, Analysis and Number Theory Context triple: [Mark Kac, hasPublication, Statistical Independence in Probability, Analysis and Number Theory]
-
A.
Dyson’s transform in number theory
Dyson’s transform in number theory is a combinatorial technique introduced by Freeman Dyson to manipulate and relate integer partitions, particularly in the study of partition identities and congruences.
-
B.
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.
-
C.
Gauss’s lemma in number theory
Gauss’s lemma in number theory is a result that relates the Legendre symbol to the number of sign changes in a certain sequence of multiples, providing a practical criterion for determining quadratic residues modulo an odd prime.
-
D.
Über die Anzahl der Primzahlen unter einer gegebenen Grösse
Über die Anzahl der Primzahlen unter einer gegebenen Grösse is Bernhard Riemann’s seminal 1859 paper that introduced the Riemann zeta function and laid the foundations of analytic number theory, including the famous Riemann Hypothesis.
-
E.
Berry–Esseen theorem
The Berry–Esseen theorem is a quantitative refinement of the central limit theorem that provides explicit bounds on the rate of convergence of normalized sums of independent random variables to the normal distribution.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Statistical Independence in Probability, Analysis and Number Theory Target entity description: "Statistical Independence in Probability, Analysis and Number Theory" is a mathematical monograph by Mark Kac that explores the concept of independence across probability theory, real analysis, and number theory.
-
A.
Dyson’s transform in number theory
Dyson’s transform in number theory is a combinatorial technique introduced by Freeman Dyson to manipulate and relate integer partitions, particularly in the study of partition identities and congruences.
-
B.
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.
-
C.
Gauss’s lemma in number theory
Gauss’s lemma in number theory is a result that relates the Legendre symbol to the number of sign changes in a certain sequence of multiples, providing a practical criterion for determining quadratic residues modulo an odd prime.
-
D.
Über die Anzahl der Primzahlen unter einer gegebenen Grösse
Über die Anzahl der Primzahlen unter einer gegebenen Grösse is Bernhard Riemann’s seminal 1859 paper that introduced the Riemann zeta function and laid the foundations of analytic number theory, including the famous Riemann Hypothesis.
-
E.
Berry–Esseen theorem
The Berry–Esseen theorem is a quantitative refinement of the central limit theorem that provides explicit bounds on the rate of convergence of normalized sums of independent random variables to the normal distribution.
- F. None of above. chosen
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
mathematical monograph ⓘ |
| academicDiscipline | mathematics ⓘ |
| author | Mark Kac ⓘ |
| contributor | Mark Kac ⓘ |
| exploresConcept |
independence in measure-theoretic probability
ⓘ
independence in number theory ⓘ independence in real analysis ⓘ independence of random variables ⓘ |
| field |
number theory
ⓘ
probability theory ⓘ real analysis ⓘ |
| focusesOn |
applications of independence in analysis
ⓘ
connections between probability and number theory ⓘ |
| genre |
mathematics literature
ⓘ
non-fiction ⓘ |
| hasAuthor |
Mark Kac
ⓘ
surface form:
M. Kac
Mark Kac ⓘ |
| hasForm | monograph ⓘ |
| hasMathematicalSubject |
analysis
ⓘ
number theory ⓘ probability theory ⓘ |
| hasTopic |
distribution of arithmetic functions
ⓘ
independence and correlation ⓘ limit theorems ⓘ measure theory ⓘ probabilistic methods in number theory ⓘ probability on number-theoretic structures ⓘ random variables ⓘ |
| intendedAudience |
graduate students in mathematics
ⓘ
mathematicians ⓘ |
| isAbout | independence across different branches of mathematics ⓘ |
| language | English ⓘ |
| mainSubject | statistical independence ⓘ |
| subjectOf | studies on probabilistic number theory ⓘ |
| writtenBy | Mark Kac ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Statistical Independence in Probability, Analysis and Number Theory Description of subject: "Statistical Independence in Probability, Analysis and Number Theory" is a mathematical monograph by Mark Kac that explores the concept of independence across probability theory, real analysis, and number theory.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.