Essential infimum and essential supremum

From testwiki
Revision as of 14:27, 25 February 2025 by imported>Wdr62 (Properties: added a small strengthening of the definition. Might add the proof later too)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to navigation Jump to search

Template:Short description In mathematics, the concepts of essential infimum and essential supremum are related to the notions of infimum and supremum, but adapted to measure theory and functional analysis, where one often deals with statements that are not valid for all elements in a set, but rather almost everywhere, that is, except on a set of measure zero.

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 f(x) that is equal to zero everywhere except at x=0 where f(0)=1, then the supremum of the function equals one. However, its essential supremum is zero since (under the Lebesgue measure) one can ignore what the function does at the single point where f is peculiar. The essential infimum is defined in a similar way.

Definition

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

Let f:X be a real valued function defined on a set X. The supremum of a function f is characterized by the following property: f(x)supf for all xX and if for some a{+} we have f(x)a for all xX then supfa. More concretely, a real number a is called an upper bound for f if f(x)a for all xX; that is, if the set f1(a,)={xX:f(x)>a} is empty. Let Uf={a:f1(a,)=} be the set of upper bounds of f and define the infimum of the empty set by inf=+. Then the supremum of f is supf=infUf if the set of upper bounds Uf is nonempty, and supf=+ otherwise.

Now assume in addition that (X,Σ,μ) is a measure space and, for simplicity, assume that the function f is measurable. Similar to the supremum, the essential supremum of a function is characterised by the following property: f(x)esssupf for μ-almost all xX and if for some a{+} we have f(x)a for μ-almost all xX then esssupfa. More concretely, a number a is called an Template:Visible anchor of f if the measurable set f1(a,) is a set of μ-measure zero,Template:Efn That is, if f(x)a for μ-almost all x in X. Let Ufess={a:μ(f1(a,))=0} be the set of essential upper bounds. Then the Template:Visible anchor is defined similarly as esssupf=infUfess if Ufess, and esssupf=+ otherwise.

Exactly in the same way one defines the Template:Visible anchor as the supremum of the Template:Visible anchors, that is, essinff=sup{b:μ({x:f(x)<b})=0} if the set of essential lower bounds is nonempty, and as otherwise; again there is an alternative expression as essinff=sup{a:f(x)a for almost all xX} (with this being if the set is empty).

Examples

On the real line consider the Lebesgue measure and its corresponding [[sigma-algebra|Template:Sigma-algebra]] Σ. Define a function f by the formula f(x)={5,if x=14,if x=12,otherwise.

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 {1} and {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 f(x)={x3,if xarctanx,if x where denotes the rational numbers. This function is unbounded both from above and from below, so its supremum and infimum are and , 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 arctanx. It follows that the essential supremum is π/2 while the essential infimum is π/2.

On the other hand, consider the function f(x)=x3 defined for all real x. Its essential supremum is +, and its essential infimum is .

Lastly, consider the function f(x)={1/x,if x00,if x=0. Then for any a, μ({x:1/x>a})1|a| and so Ufess= and esssupf=+.

Properties

If μ(X)>0 then inffessinffesssupfsupf. and otherwise, if X has measure zero then [1] +=essinffesssupf=.

If the essential supremums of two functions f and g are both nonnegative, then esssup(fg)(esssupf)(esssupg).

The essential supremum of a function is not just the infimum of the essential lower bounds, but also their minimum. A similar result holds for the essential infimum.

Given a measure space (S,Σ,μ), the space (S,μ) consisting of all of measurable functions that are bounded almost everywhere is a seminormed space whose seminorm f=inf{C0:|f(x)|C for almost every x}={esssup|f| if 0<μ(S),0 if 0=μ(S), is the essential supremum of a function's absolute value when μ(S)0.Template:Refn

See also

Notes

Template:Notelist Template:Reflist

References

Template:Reflist

Template:PlanetMath attribution

Template:Navbox Template:Measure theory

  1. Dieudonné J.: Treatise On Analysis, Vol. II. Associated Press, New York 1976. p 172f.