logo

Methods of Expressing an Arbitrary Function as Two Non-negative Functions 📂Measure Theory

Methods of Expressing an Arbitrary Function as Two Non-negative Functions

Definitions1

Let’s define f+f^{+} and ff^{-} for a function f:XRf : X \to \mathbb{R} as follows.

f+(x):=max{f(x), 0}f(x):=max{f(x), 0} \begin{align*} f^{+} (x) &:= \max \left\{ f(x),\ 0 \right\} \\ f^{-} (x) &:= \max \left\{ -f(x),\ 0 \right\} \end{align*}

We call f+f^{+} the positive part of ff, and ff^{-} the negative part of ff.

Description

Despite their names, both f+f^{+} and ff^{-} are non-negative functions. It might not be immediately clear why these are referred to as the positive and negative parts, respectively. Let’s look at the figure below.

5D0892D11.jpg

As you can see from the figure, the positive part f+f^{+} exactly represents the parts where the value of ff is positive, and ff^{-} represents (as positive values) the parts where the value of ff is negative. It’s easy to see that the following formulas hold based on the above definitions.

f=f+f,f=f++f f=f^{+} -f^{-},\quad |f|=f^{+}+f^{-}

f+=12(f+f),f=12(ff) \begin{array}{c} f^{+}=\frac{1}{2}(|f| + f),\quad f^{-}=\frac{1}{2}(|f|-f) \end{array}

Theorem

(1)

Let’s assume that the three functions f,g,h:XRf,g,h : X \to \mathbb{R} satisfy the conditions below.

f(x)=g(x)h(x),min{g(x), h(x)}0  xX f(x)=g(x)-h(x), \quad \min \left\{ g(x),\ h(x) \right\} \ge 0\ \quad \forall\ x \in X

Then, the following formula holds.

f+(x)g(x),f(x)h(x) xX f^{+} (x) \le g(x), \quad f^{-} (x) \le h(x) \quad \forall\ x \in X


This means that when any function is represented as the difference of two non-negative functions, the positive part f+f^{+} and the negative part ff^{-} of ff are the smallest functions that satisfy this.

(2)

If ff is a measurable function, then f±f^{\pm} is also measurable.

Proof

(1)

For any xx, since f(x)=g(x)h(x) f(x)=g(x)-h(x) and h(x)0h(x) \ge 0, it follows that f(x)g(x)f(x) \le g(x). Also, by assumption, 0g(x)0 \le g(x). Because g(x)g(x) is greater than or equal to both f(x)f(x) and 00, it is also greater than or equal to the larger of the two. Therefore, the following holds.

f+(x)=max{f(x),0}g(x) f^{+}(x) = \max \left\{ f(x), 0 \right\} \le g(x)

For any xx, since f(x)=h(x)g(x)-f(x)=h(x)-g(x) and g(x)0g(x) \ge 0, it follows that f(x)h(x)-f(x) \le h(x). Also, by assumption, 0h(x)0 \le h(x). Because h(x)h(x) is greater than or equal to both f(x)-f(x) and 00, it is also greater than or equal to the larger of the two. Therefore, the following holds.

f(x)=max{f(x),0}h(x) f^{-}(x) = \max \left\{ -f(x), 0 \right\} \le h(x)

See Also


  1. Robert G. Bartle, The Elements of Integration and Lebesgue Measure (1995), p10 ↩︎