The essential infimum and essential supremum describe the lower and upper bounds of a measurable function after disregarding null sets for a specified measure. A pointwise infimum or supremum sees every input; an essential bound sees whether values below or above a proposed threshold occur on a set of positive measure. Thus "essential" means insensitive to changes on a null set, rather than insensitive to unusual values. This distinction makes essential bounds compatible with Lebesgue integrals and the equivalence classes used in Lp spaces. [ref].
For a real measurable function on a measure space , the definitions are
These can take values in the extended real number line. On a space of positive total measure, finite essential bounds obey almost everywhere. If is finite, every threshold has ; the corresponding lower-edge statement is for every . These are the measure-based counterparts of the approximation property of a supremum and approximation property of an infimum.
Here is a two-sided example on with Lebesgue measure:
The pointwise bounds are and , while the essential bounds are and . Both exceptional singletons are null sets. But for , the inputs where still have measure , and those where have measure : deleting or adding two individual inputs cannot change those lengths. Hence neither essential bound can be moved inward.
Figure 1.
Essential infimum and essential supremum ignore two exceptional singletons, while pointwise infimum and supremum retain them
. The function follows except for the filled values and . Hollow markers exclude the ordinary values at those inputs. The shaded horizontal band spans the essential bounds zero and one for Lebesgue measure. Details.
The choice of measure is part of the answer. The same has essential bounds and under counting measure, because every nonempty set has positive measure. Under the Dirac measure at , both essential bounds equal . A null set for one measure need not be a null set for another.
Nor must the exceptional inputs be isolated. The Dirichlet function, equal to one at rational numbers and zero at irrational numbers, has pointwise supremum one on , but essential supremum zero for Lebesgue measure: the rational numbers form a countable set that is a null set, even though they are dense. Conversely, a value ten on an interval of length affects the essential supremum just as decisively as it would on half the domain. Small positive measure is not zero measure.

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The concepts of essential infimum and essential supremum are used in measure theory and functional analysis to extend the idea of infimum and supremum in a way that accounts for sets that may have measure zero. These concepts are particularly useful when dealing with functions that may have discontinuities or singularities on sets of measure zero.