# Omissions in Mathematics Education: Gauge Integration

Every mathematics student is of course acquainted with the Riemann integral. The Riemann integral is defined for functions ##f:[a,b]\rightarrow \mathbb{R}##. The Riemann-integral of ##f## can be defined in essentially two ways. First, we have the Darboux method. The Darboux method involves bounding the “area” of ##f## by below and by above. Indeed, we exhibit some numbers ##X = \{x_0,x_1,…,x_n\}## with ##x_0= a##, ##x_n = b## and ##x_i\leq x_{i+1}##. Then we define

[tex]U_X(f) = \sum_{i=0}^{n-1} (x_{i+1} – x_i)\sup_{x\in [x_i,x_{i+1}]}f(x)[/tex]

and

[tex]L_X(f) = \sum_{i=0}^{n-1} (x_{i+1} – x_i)\inf_{x\in [x_i,x_{i+1}]}f(x)[/tex]

The Darboux integral can then be defined if ##U_X(f) – L_X(f) \rightarrow 0## if ##X## gets finer. The limit of ##U_X(f)## (and ##L_X(f)##) is then called the Darboux integral.

The second way of defining the Riemann integral involves again some numbers ##X = \{x_0,x_1,…,x_n\}## like above and also a set of points ##\{a_0,…,a_{n-1}## with ##x_i\leq a_i\leq x_{i+1}##. The Riemann integral of ##f## can then be defined as the limit of

[tex]\sum_{i=0}^{n-1} f(a_i)(x_{i+1} – x_i)[/tex]

as ##X## gets finer.

Both approaches are equivalent, and the result integral is denoted as ##\int_a^b f(x)dx##. For the equivalence of both approaches see Bloch https://www.amazon.com/Real-Numbers-Analysis/dp/0387721762

An extension of the Riemann integral can be achieved by extending the domain to intervals like ##[a,+\infty)##. Indeed, we can define

[tex]\int_a^{+\infty} f(x)dx = \lim_{d\rightarrow +\infty} \int_a^d f(x)dx[/tex]

Later in their courses, mathematics students replace the Riemann integral with the Lebesgue integral. The Lebesgue integral is defined not by splitting the domain into a partition, but rather splitting the codomain into a partition.

This results in a much more powerful integral. It is able to find the integral to many more functions, it satisfies many good properties which allow interchange of integral and limits, and the proofs involving Lebesgue integration are much less cumbersome. Only setting up the Lebesgue integral is very tedious.

But not all is perfect. While any Riemann integrable function ##f:[a,b]\rightarrow \mathbb{R}## is Lebesgue integrable, the same is not true for the extended Lebesgue integral. Indeed, the integral

[tex]\int_0^{+\infty}\frac{\sin(x)}{x}dx[/tex]

is not Lebesgue integrable, but the Riemann integral is ##\pi/2##. So the Lebesgue integral is at the same time more powerful, but also weaker than the Riemann integral.

This is solved by the gauge integral. The gauge integral is a very easy modification of the Riemann integral, but yields a very powerful integral which both encompasses the Riemann integral, the extended Riemann integral and the Lebesgue integral. Let us first revisit the formal definition of the Riemann integral. We say that the Riemann integral of ##f:[a,b]\rightarrow \mathbb{R}## is a number ##L## such that for all ##\varepsilon >0##, there exists a ##\delta>0## such that whenever ##x_0,…,x_n## and ##a_1,…,a_n## are numbers such that

[tex]a=x_0\leq a_1\leq x_1\leq a_2\leq …\leq x_{n-1}\leq a_n\leq x_n = x[/tex]

and ##x_i – x_{i-1}<\delta## for all ##i##, then

[tex]\left|L – \sum_{i=1}^n f(a_i)(x_i – x_{i-1})\right|<\varepsilon[/tex]

The gauge integral is the exact same definition except that we replace the number ##\delta## by a function ##\delta##. We get that the gauge integral of ##f:[a,b]\rightarrow \mathbb{R}## is a number ##L## such that for all ##\varepsilon >0##, there exists a function ##\delta:[a,b]\rightarrow (0,+\infty)## such that whenever ##x_0,…,x_n## and ##a_1,…,a_n## are numbers such that

[tex]a=x_0\leq a_1\leq x_1\leq a_2\leq …\leq x_{n-1}\leq a_n\leq x_n = x[/tex]

and ##x_i – x_{i-1}<\delta(a_i)## for all ##i##, then

[tex]\left|L – \sum_{i=1}^n f(a_i)(x_i – x_{i-1})\right|<\varepsilon[/tex]

Remark that similar definitions can be made that extend the domain ##[a,b]## to more general domains, but this is not pursued here.

The two definitions look similar, but there is a world of difference. The gauge integrals yields the most perfect possible integral for functions ##\mathbb{R}\rightarrow \mathbb{R}##. Let us find out why by exhibiting some selected results.

First, a function ##f## is Lebesgue integrable if and only if it is gauge integrable and ##\int |f|<+\infty##. So we retain the Lebesgue integral as a special case. Indeed, the Lebesgue integral are analogous to absolutely convergent series, while the gauge integral are analogous the convergent series in general. Furthermore, integrals like ##\int_0^{+\infty}\frac{\sin(x)}{x}dx## that can not be found by Lebesgue, can be found by the gauge integral and yield sensible answers.

Second, many theorems in Lebesgue integration and Riemann integral are special cases of gauge integral theorems. Furthermore, the theorems often take on much more beautiful forms in the gauge integral setting. One example is the fundamental theorem of calculus. Indeed, the second part of the fundamental theorem of calculus is as follows: Let ##f## and ##F## be functions ##[a,b]\rightarrow \mathbb{R}## such that ##F## is continuous and ##F’ = f##. If ##f## is Riemann integrable, then

[tex]\int_a^b f(x)dx = F(b) – F(a)[/tex]

One of the main drawbacks of this theorem is the part “If ##f## is Riemann integrable”. Can’t we deduce Riemann integrability from the fact that it is a deriviative? It’s not possible. The gauge integral gives us a much much more general statement however (note that there are even more powerful forms): If ##F## and ##f## are functions ##[a,b]\rightarrow \mathbb{R}## such that ##F’ = f## for all points on ##[a,b]## except possibly countably many, then ##f## is gauge integrable and ##\int_a^b f(x)dx = F(b) – F(a)##.

Other classical theorems like limit theorems, substitution theorems, integration by parts theorems can all be generalized to hold in great generality.

So why should gauge integration recieve more attention in undergrad education? First, the gauge integral is as easy to define as the Riemann integral and – with some experience – is definitely very intuitive. Second, we get a more general integral encompassing all kinds of integrals mathematicians will see eventually. In fact, using the gauge integral, it is actually possible to construct the Lebesgue integral as a special case. Third, we get a lot of general theorems which encompass both the Lebesgue as the Riemann cases. These theorems are the most general possible and are not as easily proved (if it is even possible) in the context of Lebesgue or Riemann integration.

So why isn’t the gauge integral taught? The gauge integral has one major drawback: it can only be defined for functions ##\mathbb{R}\rightarrow \mathbb{R}##, although modifications are found to extend it to multivariable domains ##\mathbb{R}^n##. The Lebesgue integral however accepts very very general domains. So the Lebesgue integral is still a fundamental part of knowledge even if the gauge integral is available on ##\mathbb{R}##. Furthermore, the greater generality of the gauge integral is almost never needed for practicing scientists (who have enough with the slightly more intuitive Riemann integral), but also not for practicing mathematicians who would exclusively use the Lebesgue integral.

Still, I would say that mathematics is a lot about finding the most beautiful and general statements for theorems. And for that reason alone, the guage integral is an important omission in undergraduate education. What are your thoughts?

For people interested in learning the gauge integral, I can provide the following two references:

– Introduction to Real analysis by Swartz and Depree https://www.amazon.com/Introduction-Real-Analysis-John-DePree/dp/0471853917 This is a basic course on real analysis which uses the gauge integral. The covering of the gauge integral is rather superficial however, but the most important results are there.

– A modern theory of integration by Bartle https://www.amazon.com/Modern-Integration-Graduate-Studies-Mathematics/dp/0821808451 This gives a very exhaustive treatment of the gauge integral. The entire book is dedicated to it, and the theory is explained in full details. It contains everything you’ll ever want to know about this topic (and more!).

Enlightening! I always thought of Lebesgue as Riemann with running over the null-sets. This article cleared this wrong view.

@micromass: Coincidentally, I recently read a bit about the "Henstock–Kurzweil" integral, which I understand is the same thing as the Gauge Integral? (Btw, is there any reason you didn't mention that name?)

Regarding the integral $$int_0^infty frac{sin(x)}{x}, dx ~~,$$I've only ever seen that performed by contour integration. How is done by Gauge Integration? (Maybe you could post an online link to the details?)

And speaking of contour integration, one thing I like about Cauchy PV integrals is their relationship to Lebesgue integrals. But I get the impression from your article that one cannot in general achieve such a close relationship with Gauge Integrals, since the domain is ##mathbb C##, not ##mathbb{R}## ?

Yes, it is the same thing. I'll add the various names to the article. Thanks

Regarding the integral $$int_0^infty frac{sin(x)}{x}, dx ~~,$$I've only ever seen that performed by contour integration (i.e., interpreted as a Cauchy PV integral). How is it done by Gauge Integration? (Maybe you could post an online link to the details?)

One approach is to differentiate under the integral sign. Consider ##F(t) = int_0^{+infty} e^{-tx}frac{sin(x)}{x}dx##. Then

[tex]F'(t) = -int_0^{+infty} e^{-tx} sin(x)dx = -frac{1}{1+t^2}[/tex]

So ##F(t) = frac{pi}{2} – text{arctan}(t)##. Letting ##trightarrow 0## gives us the value of ##pi/2##.

Here you can find more details: http://www.math.uconn.edu/~kconrad/blurbs/analysis/diffunderint.pdf This document doesn't deal with the gauge integral, but everything in the document applies to that setting as well.

And speaking of contour integration, one thing I like about Cauchy PV integrals is their relationship to Lebesgue integrals. But I get the impression from your article that one cannot in general achieve such a close relationship with Gauge Integrals, since the domain is ##mathbb C##, not ##mathbb{R}## ?

Right. It is possible though to define the gauge integral on ##mathbb{C}##, but this is technical. In any case, it's not something I've looked into.

The main reason why the standard courses about integration treat the Lebesgue integral rather than the Henstock integral is that the former has much stronger properties required in all applications to measure theory. One cannot do most of modern mathematics without the Lebesgue integral, while one can do most of it without the Henstock integral. being maximally general is simply something very different from being maximally useful.

This is a heuristic recipe that requires justification. Why is one allowed to do that?

The justification must be based on proven properties of the integral. Are these properties satisfied for the Lebesgue integral? For the Henstock integral?

Oh, ok. (I knew about DUI already, of course, but hadn't seen it applied to sin(x)/x.) In any case, I now realize I misinterpreted your article. I was replying to your statement:

but forgot that you had said earlier that it's Riemann-integrable.

DUI tends to be used quite freely in theoretical physics, so it would be useful to know if there's any easy ways to tell where it doesn't work. Perhaps a subject for another insights article? :oldbiggrin:

The justification must be based on proven properties of the integral. Are these properties satisfied for the Lebesgue integral? For the Henstock integral?

From

Necessary and Sufficient Conditions for Differentiating Under the Integral Signby Erik TalvilaTheoremLet ##f:[alpha,beta] times [a,b] to mathbb{R}##. Suppose that ##f(cdot, y)## is ##ACG_*## on ##[alpha, beta]## for almost all ##y in (a,b)##. Then ##F:= int_a^b f(cdot,y) , dy## is ##ACG_*## on ##[alpha,beta]## and ##F'(x) = int_a^b f_1(x,y) , dy## for almost all ##x in (alpha,beta)## if and only if##int_{x=s}^{t} int_{y=a}^b f_1 (x,y) dy dx = int_{y=a}^{b} int_{x=s}^t f_1(x,y) dx dy## for all ##[s,t]subset [alpha,beta]##.

Recall, a function is said to be

absolutely continuous in the restricted senseon ##Esubset [a,b]## (##AC_*##) if for all ##epsilon > 0## there exists ##delta > 0## such that ##Sigma_{i=1}^{N} sup_{x,y in [x_i, y_i]} | F(x) – F(y)| < epsilon## for all finite sets of disjoint open intervals with endpoints in E and ##Sigma_{i=1}^N (y_i-x_i) < delta##.A function is said to be

generalised absolutely continuous in the restricted senseon E (##ACG_*##) if it is continuous and E is a countable union of sets on which it is ##AC_*##The justification must be based on proven properties of the integral. Are these properties satisfied for the Lebesgue integral? For the Henstock integral?

From

Necessary and Sufficient Conditions for Differentiating Under the Integral Signby Erik TalvilaTheoremLet ##f:[alpha,beta] times [a,b] to mathbb{R}##. Suppose that ##f(cdot, y)## is ##ACG_*## on ##[alpha, beta]## for almost all ##y in (a,b)##. Then ##F:= int_a^b f(cdot,y) , dy## is ##ACG_*## on ##[alpha,beta]## and ##F'(x) = int_a^b f_1(x,y) , dy## for almost all ##x in (alpha,beta)## if and only if##int_{x=s}^{t} int_{y=a}^b f_1 (x,y) dy dx = int_{y=a}^{b} int_{x=s}^t f_1(x,y) dx dy## for all ##[s,t]subset [alpha,beta]##.

Recall, a function is said to be

absolutely continuous in the restricted senseon ##Esubset [a,b]## (##AC_*##) if for all ##epsilon > 0## there exists ##delta > 0## such that ##Sigma_{i=1}^{N} sup_{x,y in [x_i, y_i]} | F(x) – F(y)| < epsilon## for all finite sets of disjoint open intervals with endpoints in E and ##Sigma_{i=1}^N (y_i-x_i) < delta##.A function is said to be

generalised absolutely continuous in the restricted senseon E (##ACG_*##) if it is continuous and E is a countable union of sets on which it is ##AC_*##One cannot do most of modern mathematics without the Lebesgue integral, while one can do most of it without the Henstock integral. Being maximally general is simply something very different from being maximally useful.

Almost all of the theorems of Lebesgue integration also hold for the gauge integral. This includes stuff like dominated convergence and integration under the integral sign.

Yes, they are.

but forgot that you had said earlier that it's Riemann-integrable.

DUI tends to be used quite freely in theoretical physics, so it would be useful to know if there's any easy ways to tell where it doesn't work. Perhaps a subject for another insights article? :oldbiggrin:

That's a good idea!

Here is the theorem of differentiation under the integral sign for the gauge integral:

Theorem:Let ##f:[a,b]times [c,d]rightarow mathbb{R}## (where ##b## can be infinity) such that for each ##tin [c,d]##, the function ##xrightarrow f(x,t)## is measurable on ##[a,b]##.Suppose that:

1) There exists ##tin [c,d]## such ##xrightarrow f(x,t)## is gauge integrable.

2) The partial derivative ##frac{partial f}{partial t}## exists on ##[a,b]times [c,d]##.

3) There are gauge integrable functions ##alpha## and ##omega## such that

[tex]alpha(x)leq frac{partial f}{partial t}(x,t)leq omega(x)[/tex]

for all ##xin [c,d]## and ##tin [a,b]##.

1) Then ##xrightarrow f(x,t)## is gauge integrable for each ##tin [c,d]##.

2) The function ##xrightarrow frac{partial f}{partial t}## is guage integrable for each ##tin [c,d]##

3) We have

[tex]frac{d}{dt}int_a^b f(x,t)dx = int_a^b frac{partial f}{partial t}dx[/tex]

In particular, if ##f(x,t) = e^{-tx}frac{sin(x)}{x}##, then this is clearly measurable in ##x## since it is continuous.

Setting ##t=1## gives us ##e^{-x}frac{sin(x)}{x}## which is gauge integrable by the following theorem.

Theorem:A measurable function ##g## is gauge integrable iff there are gauge integrable functions ##g_1##, ##g_2## such that ##g_1leq gleq g_2##.We have ##frac{partial f}{partial t} = -e^{-tx}sin(x)## exists on ##[0,+infty]times [varepsilon,1]## and is easily seen to be gauge integrable by using the above Theorem. So the theorem applies, at least for ##tin [varepsilon, 1]##. So for those ##t##, we can indeed et

[tex]int_0^{+infty} e^{-tx}frac{sin(x)}{x}dx = frac{pi}{2} – text{arctan}(t)[/tex]

Then we would need to switch limit and integral to conclude that ##int_0^{+infty}frac{sin(x)}{x}dx = frac{pi}{2}##. This is provided in the document I linked.

Does the gauge integral allow to define spaces analogous to ##L^p##? If the gauge integral ##int|f|=0## then what can we say about ##f##?

The situation is the same as with convergent and absolutely convergent series. Absolutely convergent series allow us to define ##ell^p##. Convergent series is general do not. In the same way, the absolutely convergent integrals can be used to define ##L^p##. Note that ##|f|## is absolutely convergent iff ##f## is Lebesgue integral.

We can say that ##f=0## a.e. just as with the Lebesgue integral.

Thanks.

So if ##|f|## is gauge integrable then ##f## it is Lebesgue integrable?

So if ##|f|## is gauge integrable then ##f## it is Lebesgue integrable?

That is essentially correct. We just want ##f## to be measurable/gauge integrable to exlcude pathological cases having to do with nonmeasurable functions.

What do you mean by ''essentially correct"? The question was a precise mathematical statement, so it is either known to be true or not known to be true. And is the inverse also true, is every Lebesgue integrable function also gauge integrable?

Read the rest of the post for the exact statement that is true. It also says that the statement as posted is false.

And is the inverse also true, is every Lebesgue integrable function also gauge integrable?

Yes.

Yes.

The two answers don't quite match. It seems to me that you wanted to say that ''##|f|## is gauge integrable iff ##f## is measurable and Lebesgue integrable''. Is this the correct assertion?

Lebesgue integrable implies measurable, so I don't know why you put in a condition "measurable and Lebesgue integrable".

So no, it is not the correct assertion. It is "##f## is Lebesgue integrable iff ##f## is measurable and ##|f|## is gauge integrable".

OK, thanks. Are there nonmeasurable functions ##f## for which both ##f## and ##|f|## are gauge integrable? (assuming ZFC)

No, every gauge integrable function is measurable.