The Hartley function is a measure of uncertainty introduced by Ralph Hartley in 1928. If an outcome is picked uniformly at random from a finite set A, the amount of information revealed once the outcome is known is given by the Hartley function, defined as the logarithm, in a chosen base, of the number of elements in A. Because the function depends only on the size of the set from which an outcome is drawn, it quantifies uncertainty purely in terms of the number of equally likely possibilities, with the unit of the resulting measure determined by the base of the logarithm used. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/
Facts
Origin Yearintroduced by Ralph Hartley in 1928 Connections
Is Kind Of Object
Entity-backed identity for the object-kind enum value this mathematical object already carries, resolved to a mathematics concept by an explicit value-to-entity map (phase 3 bucket conversion, docs\design_entity_backed_browse_buckets_20260928.md). The object-kind fact itself stays on the object unchanged.
Sources
1. Hartley Function (Wikipedia)
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