Hartley law of information
E1532293
UNEXPLORED
Hartley law of information is a foundational principle in information theory that quantifies the amount of information as proportional to the logarithm of the number of possible symbol sequences.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Hartley law of information canonical | 1 |
| Hartley’s law | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T22366351 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hartley law of information Context triple: [Ralph Hartley, notableWork, Hartley law of information]
-
A.
Shannon–Khinchin axioms
The Shannon–Khinchin axioms are a set of fundamental conditions that uniquely characterize Shannon entropy as the standard measure of information and uncertainty in probability theory and information theory.
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B.
Kluge's law
Kluge's law is a proposed sound law in Proto-Germanic historical linguistics that explains the development of certain geminate consonants from earlier consonant clusters.
-
C.
Aitken’s Law
Aitken’s Law is a phonological rule in Scots and Scottish English that governs when vowels are pronounced long or short depending on their phonetic and morphological environment.
-
D.
Mathematical Foundations of Information Theory
Mathematical Foundations of Information Theory is a seminal monograph by Aleksandr Khinchin that rigorously develops the probabilistic and mathematical basis of Shannon’s information theory.
-
E.
Atkinson theorem
Atkinson theorem is a fundamental result in functional analysis that characterizes Fredholm operators as precisely those bounded linear operators that are invertible modulo compact operators.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hartley law of information Target entity description: Hartley law of information is a foundational principle in information theory that quantifies the amount of information as proportional to the logarithm of the number of possible symbol sequences.
-
A.
Shannon–Khinchin axioms
The Shannon–Khinchin axioms are a set of fundamental conditions that uniquely characterize Shannon entropy as the standard measure of information and uncertainty in probability theory and information theory.
-
B.
Kluge's law
Kluge's law is a proposed sound law in Proto-Germanic historical linguistics that explains the development of certain geminate consonants from earlier consonant clusters.
-
C.
Aitken’s Law
Aitken’s Law is a phonological rule in Scots and Scottish English that governs when vowels are pronounced long or short depending on their phonetic and morphological environment.
-
D.
Mathematical Foundations of Information Theory
Mathematical Foundations of Information Theory is a seminal monograph by Aleksandr Khinchin that rigorously develops the probabilistic and mathematical basis of Shannon’s information theory.
-
E.
Atkinson theorem
Atkinson theorem is a fundamental result in functional analysis that characterizes Fredholm operators as precisely those bounded linear operators that are invertible modulo compact operators.
- F. None of above. chosen
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Hartley law of information