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Mathematics for Applied Sciences (Osnabrück 2023-2024)/Part I/Lecture 18/refcontrol

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In the following lectures, we will be concerned with integration theory, i.e. we want to study and to compute the area of a surface which is bounded by the graph of a function (the integrand)

and the -axis. At the same time, there is a direct relation with finding a primitive function of , these are functions such that their derivative equals . The concept of the area of a surface itself is problematic, which is understood thoroughly within measure theory. However, this concept can be understood from an intuitive perspective, and we will only use some basic facts. These are only used for motivation, and not as arguments. The starting point is that the area of a rectangle is just the product of the side lengths, and that the area of a surface, which one can exhaust with rectangles, equals the sum of the areas of these rectangles. We will work with the Riemann integral, which provides a satisfactory theory for continuous functions. Here, all rectangles are parallel to the coordinate system, their width (on the -axis) can vary and their height (length) is in relation to the value of the function over the base. By this method, the functions are approximated by so-called step functions.



Step functions
A step function. In the statistic context, it is also called a histogram or a bar chart.



Let be a real intervalMDLD/real interval with endpoints . Then a functionMDLD/function

is called a step function, if there exists a partition

of such that is constantMDLD/constant (map)

on every open interval .

This definition does not require a certain value at the partition points. We call the interval the -th interval of the partition, and is called the length of this interval. If the lengths of all intervals are constant, then the partition is called an equidistant partition.


Let be a real intervalMDLD/real interval with endpoints , and let

denote a step functionMDLD/step function for the partition , with the values , . Then

is called the step integral of on .

We denote the step integral also by . If we have an equidistant partition of interval length , then the step integral equals . The step integral does not depend on the partition chosen. As long as we have a step function with respect to the partition, one can pass to a refinement of the partition.


Let denote a bounded interval,MDLD/bounded interval (R) and let

denote a function.MDLD/function Then a step functionMDLD/step function

is called a step function from above for , if holds for all . A step function

is called a step function from below for , if holds for all

.

A step function from above (below) for exists if and only if is bounded from above (from below).


Let denote a bounded interval,MDLD/bounded interval (R) and let

denote a function.MDLD/function For a step function from aboveMDLD/step function from above

of , with respect to the partition , , and values , , the step integralMDLD/step integral

is called a step integral from above for on .

Let denote a bounded interval,MDLD/bounded interval (R) and let

denote a function.MDLD/function For a step function from belowMDLD/step function from below

of , with respect to the partition , , and values , , the step integralMDLD/step integral

is called a step integral from below for on .

Different step functions from above yield different step integrals from above.

For further integration concepts, we need the following definitions which refer to arbitrary subsets of the real numbers.


For a nonempty subset , an upper boundMDLD/upper bound (R) of is called the supremum of , if

holds for all upper bounds of .

For a nonempty subset , a lower boundMDLD/lower bound (R) of is called the infimum of , if

holds for all lower bounds of .

The existence of infimum and supremum follows from the completeness of the real numbers.


Every nonempty subset of the real numbers, which is bounded from above,MDLD/bounded from above (R) has a supremumMDLD/supremum (R)

in .

Proof

This proof was not presented in the lecture.

Let denote a bounded interval,MDLD/bounded interval (R) and let

denote a function,MDLD/function which is bounded from above. Then the infimumMDLD/infimum (R) of all step integralsMDLD/step integrals of step functions from aboveMDLD/step functions from above

of is called the upper integral of .

Let denote a bounded interval,MDLD/bounded interval (R) and let

denote a function,MDLD/function which is bounded from below. Then the supremumMDLD/supremum (R) of all step integralsMDLD/step integrals of step functions from belowMDLD/step functions from below

of is called the lower integral of .

The boundedness from below makes sure that there exists at all a step function from below, so that the set of step integrals from below is not empty. This condition alone does not guarantee that a supremum exists. However, if the function is bounded from both sides, then the upper integral and the lower integral exist. If a partition is given, then there exists a smallest step function from above (a largest from below) which is given by the suprema (infima) of the function on the intervals of the partition. For a continuous function on a closed interval, these are maxima and minima. To compute the integral, we have to look at all step functions for all partitions.



Riemann-integrable functions

In the following, we will talk about compact interval, which is just a bounded and closed interval, hence of the form with .

A step function from above and one from below. The green area is a step integral from below and the yellow area (partly covered) is a step function from above.

Let denote a compact intervalMDLD/compact interval and let

denote a function.MDLD/function Then is called Riemann-integrable if the upper integralMDLD/upper integral and the lower integralMDLD/lower integral

of exist and coincide.

It might by historically more adequate to call this Darboux-integrable.


Let denote a compact interval.MDLD/compact interval For a Riemann-integrableMDLD/Riemann-integrable functionMDLD/function

we call the upper integralMDLD/upper integral of (which by definition coincides with the lower integralMDLD/lower integral) the definite integral of over . It is denoted by

The computation of such integrals is called to integrate. Don't think too much about the symbol . It expresses that we want to integrate with respect to this variable. The name of the variable is not relevant, we have


LemmaLemma 18.13 change

Let denote a compact interval,MDLD/compact interval and let

denote a function.MDLD/function Suppose that there exists a sequenceMDLD/sequence of lower step functionsMDLD/lower step functions  with and a sequence of upper step functions  with . Suppose furthermore that the corresponding sequences of step integrals convergeMDLD/converge to the same real number. Then is Riemann-integrable,MDLD/Riemann-integrable (compact) and the definite integralMDLD/definite integral equals this limit, so

Proof



We consider the function

which is strictly increasingMDLD/strictly increasing (R) in this interval. Hence, for a subinterval , the value is the minimum,MDLD/minimum and is the maximumMDLD/maximum of the function on this subinterval. Let be a positive natural number. We partition the interval into the subintervals , , of length . The step integralMDLD/step integral for the corresponding lower step functionMDLD/lower step function is

(see Exercise 2.10 for the formula for the sum of the squares). Since the sequencesMDLD/sequences and convergeMDLD/converge (R) to , the limitMDLD/limit (R) for of these step integrals equals . The step integralMDLD/step integral for the corresponding step function from aboveMDLD/step function from above is

The limit of this sequence is again . By Lemma 18.13 , the upper integralMDLD/upper integral and the lower integralMDLD/lower integral coincide, hence the function is Riemann-integrable,MDLD/Riemann-integrable (compact) and for the definite integralMDLD/definite integral we get


Let be a compact interval, and let

be a function. Then the following statements are equivalent.
  1. The function is Riemann-integrable.MDLD/Riemann-integrable (compact)
  2. There exists a partition , such that the restrictions are Riemann-integrable.
  3. For every partition , the restrictions are Riemann-integrable.
In this situation, the equation
holds.

Proof



Let be a function on a real interval.MDLD/real interval Then is called Riemann-integrable, if the restrictionMDLD/restriction (map) of to every compactMDLD/compact (R) intervalMDLD/interval (R) is

Riemann-integrable.MDLD/Riemann-integrable (compact)

Due to this lemma, both definitions coincide for a compact interval . The integrability of a function does not mean that has a meaning or exists.



Riemann-integrability of continuous functions

TheoremTheorem 18.17 change

Let denote a continuous function.MDLD/continuous function (R) Then is

Riemann-integrable.MDLD/Riemann-integrable

Proof

This proof was not presented in the lecture.



Let denote a compact interval,MDLD/compact interval (R) and let denote Riemann-integrableMDLD/Riemann-integrable (compact)

functions.MDLD/functions Then the following statements hold.
  1. If holds for all , then holds.
  2. If holds for all , then holds.
  3. The sum is Riemann-integrable, and the identity holds.
  4. For we have .
  5. The functions and are Riemann-integrable.
  6. The function is Riemann-integrable.
  7. The product is Riemann-integrable.

For (1) to (4) see Exercise 18.14 . For (5) see Exercise 18.17 . (6) follows directly from (5), because of . For (7), see Exercise 18.18 .



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