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Essential infimum and essential supremum

While the exact definition is not immediately straightforward, intuitively the essential supremum of a function is the smallest value that is greater than or equal to the function values everywhere while ignoring what the function does at a set of points of measure zero. For example, if one takes the function ${\displaystyle f($x)} that is equal to zero everywhere except at ${\displaystyle x=0}$ where ${\displaystyle f(0)=1,}$ then the supremum of the function equals one. However, its essential supremum is zero if we apply the Lebesgue-Borel measure and are allowed to ignore what the function does at the single point where ${\displaystyle f}$ is peculiar. The essential infimum is defined in a similar way.

Definition[edit]

As is often the case in measure-theoretic questions, the definition of essential supremum and infimum does not start by asking what a function ${\displaystyle f}$ does at points ${\displaystyle x}$ (that is, the imageof${\displaystyle f}$), but rather by asking for the set of points ${\displaystyle x}$ where ${\displaystyle f}$ equals a specific value ${\displaystyle y}$ (that is, the preimageof${\displaystyle y}$ under ${\displaystyle f}$).

Let ${\displaystyle f:X\to \mathbb {R} }$ be a real valued function defined on a set ${\displaystyle X.}$ The supremum of a function ${\displaystyle f}$ is characterized by the following property: ${\displaystyle f($x)\leq \sup f\leq \infty } for all ${\displaystyle x\in X}$ and if for some ${\displaystyle a\in \mathbb {R} \cup \{+\infty \}}$ we have ${\displaystyle f($x)\leq a} for all ${\displaystyle x\in X}$ then ${\displaystyle \sup f\leq a.}$ More concretely, a real number ${\displaystyle a}$ is called an upper bound for ${\displaystyle f}$if${\displaystyle f($x)\leq a} for all ${\displaystyle x\in X;}$ that is, if the set $${\displaystyle f^{-1}(a,\infty )=\{x\in X:f($$x)>a\}} isempty. Let $${\displaystyle U_{f}=\{a\in \mathbb {R} :f^{-1}(a,\infty )=\varnothing \}\,}$$ be the set of upper bounds of ${\displaystyle f}$ and define the infimum of the empty set by ${\displaystyle \inf \varnothing =+\infty .}$ Then the supremum of ${\displaystyle f}$is$${\displaystyle \sup f=\inf U_{f}}$$ if the set of upper bounds ${\displaystyle U_{f}}$ is nonempty, and ${\displaystyle \sup f=+\infty }$ otherwise.

Now assume in addition that ${\displaystyle (X,\Sigma ,\mu )}$ is a measure space and, for simplicity, assume that the function ${\displaystyle f}$ is measurable. Similar to the supremum, the essential supremum of a function is characterised by the following property: ${\displaystyle f($x)\leq \operatorname {ess} \sup f\leq \infty } for ${\displaystyle \mu }$-almost all ${\displaystyle x\in X}$ and if for some ${\displaystyle a\in \mathbb {R} \cup \{+\infty \}}$ we have ${\displaystyle f($x)\leq a} for ${\displaystyle \mu }$-almost all ${\displaystyle x\in X}$ then ${\displaystyle \operatorname {ess} \sup f\leq a.}$ More concretely, a number ${\displaystyle a}$ is called an essential upper boundof${\displaystyle f}$ if the measurable set ${\displaystyle f^{-1}(a,\infty )}$ is a set of ${\displaystyle \mu }$-measure zero,^[a] That is, if ${\displaystyle f($x)\leq a} for ${\displaystyle \mu }$-almost all ${\displaystyle x}$in${\displaystyle X.}$ Let $${\displaystyle U_{f}^{\operatorname {ess} }=\{a\in \mathbb {R} :\mu (f^{-1}(a,\infty ))=0\}}$$ be the set of essential upper bounds. Then the essential supremum is defined similarly as $${\displaystyle \operatorname {ess} \sup f=\inf U_{f}^{\mathrm {ess} }}$$if${\displaystyle U_{f}^{\operatorname {ess} }\neq \varnothing ,}$ and ${\displaystyle \operatorname {ess} \sup f=+\infty }$ otherwise.

Exactly in the same way one defines the essential infimum as the supremum of the essential lower bounds, that is, $${\displaystyle \operatorname {ess} \inf f=\sup\{b\in \mathbb {R} :\mu (\{x:f($$x)<b\})=0\}} if the set of essential lower bounds is nonempty, and as ${\displaystyle -\infty }$ otherwise; again there is an alternative expression as ${\displaystyle \operatorname {ess} \inf f=\sup\{a\in \mathbb {R} :f($x)\geq a{\text{ for almost all }}x\in X\}} (with this being ${\displaystyle -\infty }$ if the set is empty).

Examples[edit]

On the real line consider the Lebesgue measure and its corresponding 𝜎-algebra ${\displaystyle \Sigma .}$ Define a function ${\displaystyle f}$ by the formula $${\displaystyle f($$x)={\begin{cases}5,&{\text{if }}x=1\\-4,&{\text{if }}x=-1\\2,&{\text{otherwise.}}\end{cases}}}

The supremum of this function (largest value) is 5, and the infimum (smallest value) is −4. However, the function takes these values only on the sets ${\displaystyle \{1\}}$ and ${\displaystyle \{-1\},}$ respectively, which are of measure zero. Everywhere else, the function takes the value 2. Thus, the essential supremum and the essential infimum of this function are both 2.

As another example, consider the function $${\displaystyle f($$x)={\begin{cases}x^{3},&{\text{if }}x\in \mathbb {Q} \\\arctan x,&{\text{if }}x\in \mathbb {R} \smallsetminus \mathbb {Q} \\\end{cases}}} where ${\displaystyle \mathbb {Q} }$ denotes the rational numbers. This function is unbounded both from above and from below, so its supremum and infimum are ${\displaystyle \infty }$ and ${\displaystyle -\infty ,}$ respectively. However, from the point of view of the Lebesgue measure, the set of rational numbers is of measure zero; thus, what really matters is what happens in the complement of this set, where the function is given as ${\displaystyle \arctan x.}$ It follows that the essential supremum is ${\displaystyle \pi /2}$ while the essential infimum is ${\displaystyle -\pi /2.}$

On the other hand, consider the function ${\displaystyle f($x)=x^{3}} defined for all real ${\displaystyle x.}$ Its essential supremum is ${\displaystyle +\infty ,}$ and its essential infimum is ${\displaystyle -\infty .}$

Lastly, consider the function $${\displaystyle f($$x)={\begin{cases}1/x,&{\text{if }}x\neq 0\\0,&{\text{if }}x=0.\\\end{cases}}} Then for any ${\displaystyle a\in \mathbb {R} ,}$ ${\displaystyle \mu (\{x\in \mathbb {R} :1/x>a\})\geq {\tfrac {1}{|a|}}}$ and so ${\displaystyle U_{f}^{\operatorname {ess} }=\varnothing }$ and ${\displaystyle \operatorname {ess} \sup f=+\infty .}$

Properties[edit]

If${\displaystyle \mu ($X)>0} then $${\displaystyle \inf f~\leq ~\operatorname {ess} \inf f~\leq ~\operatorname {ess} \sup f~\leq ~\sup f.}$$ and otherwise, if ${\displaystyle X}$ has measure zero then ^[1] $${\displaystyle +\infty ~=~\operatorname {ess} \inf f~\geq ~\operatorname {ess} \sup f~=~-\infty .}$$

If the essential supremums of two functions ${\displaystyle f}$ and ${\displaystyle g}$ are both nonnegative, then ${\displaystyle \operatorname {ess} \sup($fg)~\leq ~(\operatorname {ess} \sup f)\,(\operatorname {ess} \sup g).}

Given a measure space ${\displaystyle (S,\Sigma ,\mu ),}$ the space ${\displaystyle {\mathcal {L}}^{\infty }(S,\mu )}$ consisting of all of measurable functions that are bounded almost everywhere is a seminormed space whose seminorm $${\displaystyle \|f\|_{\infty }=\inf\{C\in \mathbb {R} _{\geq 0}:|f($$x)|\leq C{\text{ for almost every }}x\}={\begin{cases}\operatorname {ess} \sup |f|&{\text{ if }}0<\mu (S),\\0&{\text{ if }}0=\mu (S),\end{cases}}} is the essential supremum of a function's absolute value when ${\displaystyle \mu ($S)\neq 0.} ^{[nb 1]}

See also[edit]

• ${\displaystyle L^{p}}$ space – Function spaces generalizing finite-dimensional p norm spaces

Notes[edit]

References[edit]

This article incorporates material from Essential supremumonPlanetMath, which is licensed under the Creative Commons Attribution/Share-Alike License.