Inmathematics, particularlymeasure theory, theessential range, or the set ofessential values, of afunction is intuitively the 'non-negligible' range of the function: It does not change between two functions that are equalalmost everywhere. One way of thinking of the essential range of a function is theset on which the range of the function is 'concentrated'.
In other words: The essential range of a complex-valued function is the set of all complex numbersz such that the inverse image of each ε-neighbourhood ofz underf has positive measure.
Say isdiscrete, i.e., is thepower set of i.e., thediscrete topology on Then the essential range off is the set of valuesy inY with strictly positive-measure:
The essential range of a measurable function, being thesupport of a measure, is always closed.
The essential range ess.im(f) of a measurable function is always a subset of.
The essential image cannot be used to distinguish functions that are almost everywhere equal: If holds-almost everywhere, then.
These two facts characterise the essential image: It is the biggest set contained in the closures of for all g that are a.e. equal to f:
.
The essential range satisfies.
This fact characterises the essential image: It is thesmallest closed subset of with this property.
Theessential supremum of a real valued function equals the supremum of its essential image and the essential infimum equals the infimum of its essential range. Consequently, a function is essentially bounded if and only if its essential range is bounded.
The essential range of an essentially bounded function f is equal to thespectrum where f is considered as an element of theC*-algebra.
If is the zero measure, then the essential image of all measurable functions is empty.
This also illustrates that even though the essential range of a function is a subset of the closure of the range of that function, equality of the two sets need not hold.
If is open, continuous and theLebesgue measure, then holds. This holds more generally for allBorel measures that assign non-zero measure to every non-empty open set.
^Cf.Chung, Kai Lai (1967).Markov Chains with Stationary Transition Probabilities. Springer. p. 135.
^Brezis, Haïm; Nirenberg, Louis (September 1995). "Degree theory and BMO. Part I: Compact manifolds without boundaries".Selecta Mathematica.1 (2):197–263.doi:10.1007/BF01671566.