Footnotes:
Lebesgue Measure
Page last updated 18 Nov 2024
Lebesgue measure is a theory that arose from the concept of a “real number line”. Mathematicians began to contemplate what it meant to refer to distances between points on such a line in case of sets of points that had rather involved definitions, and came up with the concept of a “real number line”.
The “Real Number Line”
Mathematicians noticed that if you thought of a line of real numbers like a physical line stretched between two points, then given any real number, you could have a corresponding point on your “real number line”. And, being Platonists, they assumed that such a “real number line” actually exists as a mathematical object, and is composed of an accumulation of points.
This was a fundamental error. The reality is that the notion of a real number line is a notion that is inherently a fractal, where no matter how close one zooms in, the line always looks the same. It may be a simple one-dimensional fractal, but a fractal it is, and that means that there never is a situation where the fractality ends and - behold - you then have a solid line where you cannot fit in any more points.
Because of this, there cannot be an actual sequence of all the real numbers between any two values (such as 0 and 1) where every number is set in order according to its value, since for any real number, there is no ‘next’ number. Similarly, there cannot be an actual sequence of points that somehow make an actual line. Moreover, by the very definition of a point, a point has no length or width, so that it is impossible for a collection of points to constitute a line.
But if you recognize that when you define a line where one end corresponds to 0 and the other end corresponds to 1, you are only defining a concept, not describing any actual thing, and that, since there is no limit to how many real numbers you can have between 0 and 1, then similarly, there is no limit to the number of points you can define on this line. But you never actually reach the state where the line is ‘filled’ with points. (Footnote: As Wittgenstein remarked: “But the curve is not composed of points, it is a law that points obey, or again, a law according to which points can be constructed.” as in Philosophical Grammar, University of California Press, 2005.)
This is in direct opposition to the Platonist stance which insists that all the points on the line ‘exist’ simultaneously, thus constituting an entire continuous “real number line”. For more on Platonism see Platonism, The Myths of Platonism, Platonism’s Logical Blunder, Numbers, chairs and unicorns and the posts Moderate Platonism and Descartes’ Platonism.
An example of Lebesgue measure theory
First, a couple of definitions:
An open interval is an interval that does not include the endpoints that define that interval (for example the open interval whose endpoints are 1⁄3 and 1⁄2 is the set of all points between 1⁄3 and 1⁄2 but not including the points 1⁄3 and 1⁄2).
A closed interval is an interval whose endpoints are included in the interval.
Now, let’s consider a definition of a set
We start with the closed interval between 0 and 1. Now take a suitable listing (Footnote:
See One-to-one correspondences and Listing the rationals.)
of the rational numbers between 0 and 1 (for details see below A specific listing of rational numbers). Then, going through this list of rational numbers, for the first rational we define an associated open interval 1⁄10 wide with that rational at the midpoint of the interval; our set now includes all the numbers in that interval (not including the endpoints). For the next number, define an associated open interval 1⁄100 wide with that rational at the midpoint of the interval; we add those numbers to our set. For the next number, define an associated open interval 1⁄1000 wide with that rational at the midpoint of the interval; we add those numbers to our set. And so on, with each subsequent open interval being 1⁄10 of the length of the previous interval. (Footnote:
Note that an iterative process is not in fact required: we can define the set
Given this definition, there are only three possibilities. Either:
- The entire closed interval between 0 and 1 is covered by the intervals, or
- There are some irrational points between 0 to 1 that are not covered by any interval (obviously, by the definition, there cannot be any rational points that are not covered by some interval), or
- The definition is irredeemably inherently contradictory, and is not a valid definition of two complementary sets of points.
Now, according to conventional mathematics using the axioms of Lebesgue measure theory, the total length of the intervals of the set
Which means that since the length of the original interval (from 0 to 1) is 1, then the remaining length, according to the axioms of Lebesgue measure theory, must be at least 8⁄9. And so, according to this theory, there must be sufficiently many points remaining that can account for this value 8⁄9.
Analyzing the Lebesgue result
If it is given that there are points not in the set
Complete Interval: Note that in the following we call an interval of
Now, if there are any points in
It is easy to show that the irrationals in the set
Every rational has an associated
Clearly, the endpoints of the complete intervals of
Some people, when faced with this unpalatable contradiction, attempt to evade the contradiction by asserting that there must be other points in the set
Contradiction
This brings us to the crux of the matter. There is a contradiction inherent in Lebesgue measure theory, since it asserts that the endpoints of the intervals of
Yes, according to the axioms of Lebesgue measure theory, that set of single irrational points (each of which has precisely zero length) has a total length greater than 8⁄9 , while the intervals of set
Conventional mathematics claims that although there are infinitely many intervals between these irrational points, these irrational points constitute a “bigger” infinity than that of the intervals - that there are somehow ‘more’ of these points than the intervals between them ! And that somehow (although exactly how is never divulged) because there is a ‘bigger’ infinity of these single points, they have a total measure of at least 8⁄9 even though each such single point has a measure of precisely zero. But, as we have seen above, the infinity of these irrational points cannot possibly be of a “bigger” infinity than that of the rational numbers.
Further absurdity
While the case above is over a unit interval, it is a simple matter to scale everything by any given multiple
Hence everything is simply scaled by
For example if
This nonsensical result is a stark demonstration of the inherent absurdity of Lebesgue measure.
Welcome to a fantasy land where hocus-pocus takes precedence over logic.
Attempts to evade the contradictions
Some people appear to have some difficulty accepting that Lebesgue theory results in a contradiction. As shown above, the only possibility is that the set
There are people (for example, see the comments) who claim that there could be additional points in
Another common theme is devising an argument that appears to give the result that there is a point
Misunderstandings of this topic almost invariably involve an avoidance of any consideration of the application of limit states to summations involving infinitely many items. The page Understanding sets of decreasing intervals explains why such definitions of ever-decreasing intervals are inherently contradictory because by such definitions, without any limit included in the definition, the endpoints of any union of overlapping intervals of the set
Now for a few details of Lebesgue’s theory of measure.
The rules of Lebesgue’s theory
Lebesgue’s theory of measure is a theory that has to be bolted on to conventional number theory, by inventing axioms that are not inherent in fundamental number theory. (Footnote: Note that Lebesgue measure theory has never had any confirmation of any efficacy in relation to any real world application - unlike the conventional usage of numbers, which have been used time and time again in real world applications.) The reason for this necessity for bolting on is that in conventional number theory, for any two different numbers, there is a numerical value that is simply the difference between those two numbers, while the difference between a number and itself is precisely zero. But when you have the concept of a “real number line”, the notion of an interval now corresponds to the notion of the difference between two numbers. And what people refer to as a single point on the real number line corresponds to a single number; this isn’t really an interval, but sometimes it is referred to as a degenerate interval - in which case the measure of such a degenerate interval is precisely zero (the difference between a number and itself).
A measure, in its very simplest form, is simply the difference between two real numbers. And one expects that more complex measures would be dependent on multiples of such basic measures. But Lebesgue measure manages to assume that a collection of single zeros (each consisting of the difference between a number and itself) can somehow constitute a measure that is greater than zero. Yes, really !
The key assertions in Lebesgue theory are essentially: (Footnote: These are, of course, somewhat simplified here, but the essential facets of the theory are given by this.)
- For any set of single degenerate points that is denumerable, the Lebesgue measure of that set is zero.
- For a set of non-overlapping intervals, but only provided the intervals are denumerable, the Lebesgue measure is the sum of the lengths of all of the intervals. (Footnote: It also assumes that there is always a simple summation of the lengths of infinitely many ever-decreasing intervals, which is incorrect, see below Different orders of summation.)
- For a set of numbers between two numbers a and b that is not made up of either of the two above types, the Lebesgue measure cannot be deduced directly, but is given by subtracting the total of Lebesgue measures of the sets of type (i) and (ii) from the overall length between a and b. (Footnote: Note: In an attempt to avoid contradictions when Lebesgue theory is used along with set theory and the axiom of choice, then it has to be claimed that there must be sets of points that don’t have any measure - not a zero measure, nor some finite measure, nor an infinite measure - just no measure at all. Which means that, when using set theory and the Axiom of Choice, there are sets of points for which the axioms of the Lebesgue theory of measure cannot give a measure for those sets. See also The Axiom of Choice.)
The axioms of Lebesgue theory of measure are based around the requirement that if, for a given interval, any set A is defined for that interval, then the sum of the Lebesgue measures of the that set and its complement (the set of elements not in A, see complement) must always sum up to the total length of the interval. Now, while it might be nice to have that requirement satisfied, the Lebesgue method of doing so comes at a high price. The downsides are many. One major downside is that it is never explained how a collection of infinitely many zeros (the measures of single points separated by non-degenerate intervals) can be a finite non-zero value.
But the principal downside is that it leads to a direct contradiction - as in the case described above of ever decreasing intervals.
Limits and Limitlessness
If one does not believe that the definition of sets A and B are inherently and irredeemably contradictory, then one must provide a means of arriving at a satisfactory result. The problems in the Lebesgue reading arise because of a failure to acknowledge that some definitions involve limitlessness, such as the recursive algorithm defined above that never terminates. Now, although a definition involves limitlessness, what you can do is to applying a limiting condition. But you must be careful. If there is a choice of limiting conditions that can be applied, then you must be sure to choose the limiting condition that corresponds to whatever aspect of the limitlessness that you are attempting to calculate a limiting value for.
In the case of the ever decreasing intervals as described above, some people appear to fail to take into account the fact that, whatever finite number
- calculate a limiting condition for the total length of intervals of decreasing size, without including any consideration of the relationships between the endpoints of the intervals
or - calculate a limiting condition for the totality of points that are in the set of points given by all defined intervals, without including any consideration of the limit of the summation of lengths of intervals. This is done by applying a limit to every union of overlapping intervals of
A , which results in irrational values for the endpoints of the complete intervals ofA .
In case (a), you get a value of number theory: a numerical value of 1⁄9.
In case (b), you get a value of set theory: a set of points between 0 and 1.
These are two completely different types of values. To assume that the value (a) must imply the other case (b) indicates a complete failure to understand limitlessness. Also note that the measure of the remaining intervals are decreasing, and there is no finite width at which this stops, so that the limiting value is zero width.
You can also see a formal paper on how to eliminate contradictions in the calculation of the total measure of sets that are defined in terms of limitlessness, see PDF On Smith-Volterra-Cantor sets and their measure. For more on set theory, see the pages that give an overview of set theory, starting at Overview of set theory: Part 1: Different types of set theories.
An Alternative basis for Calculating Measure
If we reject the notion that a set of points can have a measure even if both that set and its complement do not define any non-degenerate intervals, then we can have a valid basis for the determination of the measure of a set, by specifying which sets have properties that contribute to a valid determination of measure, as follows:
A definition of a set of points
Note that a point that is an endpoint that is the open endpoint of an interval necessarily implies that that interval is non-degenerate, since:
A degenerate hypothetical interval
Similarly, the hypothetical degenerate semi-open (Footnote:
An interval that has one endpoint that is in the interval and one endpoint that is not in the interval; also can be called semi-closed.)
interval
Note also that a sequence of nested intervals that are all semi-open do not have a valid limit state since, as shown above, the hypothetical interval
If we take as an example, the set of all rationals, or the set of all irrationals, then since every point is a degenerate closed interval, no point can be the open endpoint of an interval of the complementary set, since all the points of the complementary set are all also degenerate closed intervals.
Different orders of summation
In the assertion that the set
where
For a special case where each subsequent interval is added so as to ‘touch’ the previous one (is adjacent to) the previous one - the endpoints coincide - then we can have:
1⁄10 | + | 1⁄100 | + | 1⁄1000 | + | 1⁄10000 |
0.10 − 0.00 | + | 0.11 − 0.10 | + | 0.111 − 0.110 | + | 0.1111 − 0.1110 |
For a finite sum, the left endpoint of one interval coincides with the right endpoint of the previous interval, and so the corresponding endpoint numbers cancel out - in the above 0.10, 0.11, and 0.111 cancel out, leaving 0.1111 as the correct summation. If the process continues infinitely, the limiting value is 0.111… which is equal to 1⁄9 . We can also note that if we start at zero, the sequence of midpoints is
But for the case of intervals that are not adjacent, and where the process continues infinitely, there is not necessarily any such simple limiting summation value. Unlike the case above where the midpoints of the sequence converge neatly towards a single point, any enumeration of the rationals over a given interval must always zig-zag across that interval, and can never converge to a single point. For any finite
It is well known that for an infinite series that has both positive and negative terms, the limiting sum is dependent both on the values and the order in which they appear in the series (see Sums of infinitely many fractions: 1). The Lebesgue measure value of 1⁄9 arises from the naive assumption that you can take a specific case such as the limit of the adding the interval 0 to 1⁄10 , then the interval 1⁄10 to 11⁄100 , then 11⁄100 to 111⁄1000 , and so on, where the intervals follow on directly adjacent to each other and converge to one single limiting point, and apply that same assumption to a completely different scenario. The history of mathematics is not short of errors that resulted from the assumption that a general case follows from a specific case. And, in terms of set membership, as previously noted, we can define the set
The simplistic summation of infinitely many interval lengths overlooks the crucially important fact that, in the application of a limit, there is no particular order of incrementation of intervals. That is, for any point that is not in
One correct calculation of measure?
If Platonism is correct, then the measure of any set of points must be an intrinsic property of the set - rather than being merely a human invention that is used for certain purposes. And so, if Platonism is correct, then there can only be one correct calculation of the measure of any set of points. Clearly, Lebesgue measure cannot be the correct Platonist theory of measure, since it leads directly to a blatant contradiction. There is no logical reason to suppose that Lebesgue theory is a theory that reflects some Platonist measure that exists independently of the human mind. It follows that there is no reason to promote Lebesgue measure theory as the ‘correct’ theory of measure. (Footnote: A reader suggested that there is more than one way of examining measure in order to see the full picture, using the analogy of blindfolded men examining an elephant. But the measure of a simple interval between two points is, very simply, the difference of their values. There’s no nuance involved. And if Platonism were correct then, any set of points must either have a total measure that “exists” independently of any method of calculation, and which corresponds to such a simple interval, or else there is no measure of that set that is an intrinsic property of measure for the set and which “exists” independently of any method of calculation.)
Also see Understanding Limits and Infinity which demonstrates the logical fallacies in some arguments regarding the set
Note: Mention in a sci.math forum
I came across a sci.math forum A Counter-argument against Lebesgue Measure Theory? that makes some erroneous claims about my site. In case anyone might think that there is some substance in what is discussed there, I thought I should point out a few facts about what is written there. Below relates to what was there on 01 Oct 2021.
Two of the posters claim that I assert that the points of the complement of
The posters there also glibly assert that all intervals of the set
One poster claims that while he could demonstrate by a counter-example that my argument is wrong, he declines to do so, so we only have his word for it - and yet this same person complains that I engage in “wishy-washy wordy arguments and unsupported claims”, apparently completely unaware of the irony. In addition, he also concludes that I am a crank, not because he has demonstrated any error in my writing, but because he thinks that non-crank mathematicians do not use certain terms of the English language. Logic is clearly not his strong point. I suspect that his claimed counter-example might be the same as that claimed in a comment to this site, see my response to this claim, where I point out the fallacy therein.
When these people observe that I get a result that differs to their results, they simply assume that that must mean that their result is the correct one and that I am wrong. It never occurs to them that perhaps it might indicate yet another contradiction/paradox to add to the list of all the contradictions/
Appendix: The converging sequences plea
This is the plea that refers to sets where a point of a closed interval of one set is such that an open interval of the complementary set cannot be defined with that point as it’s endpoint, and an example is given, such as this:
Given the interval 0 to 1, where
By this definition, 0 is in the set
But all that is necessarily claimed for the case discussed on this page is that for any two complementary subsets A and B of a set, in terms of intervals we can state the following:
- No two complete intervals of the same subset can be immediately adjacent (otherwise the two intervals would constitute one complete interval of that set). (Footnote: By immediately adjacent we mean that there are no points between the left interval and the right interval.)
- A left-side open interval cannot be immediately adjacent to a right-side open interval - that is, for any right endpoint of a right-side open interval that is numerically less than the left endpoint of a left-side open interval, there are always points between those two points.
- A left-side closed interval cannot be immediately adjacent to a right-side open interval - that is, for any right endpoint of a right-side closed interval that is numerically less than the left endpoint of a left-side closed interval, there are always points between those two points.
- Given the above, we can say that there can be no open intervals that are immediately adjacent, and no closed intervals that are immediately adjacent. It follows that if one set A consists only of open intervals, there can be no such intervals immediately adjacent to each other, and similarity, if one set B consists only of closed intervals, there can be no such intervals immediately adjacent to each other.
- This of itself does not imply that for a given endpoint of an interval it is always possible to define an interval of the complementary set with that endpoint as one of its endpoints. So the converging sequences plea isn’t introducing anything that conflicts with the analysis on this page.
But in any case, the converging sequences plea doesn’t provide any sort of rebuttal, as we show in the following. In the converging sequence example above, there are two converging sequences that both converge (from either side) to the value 0. For this to apply in the case analyzed on this page, the same would have to be the case - that is, for every such purported additional point, there would have to be two converging sequence of irrational points of
a pair of converging sequences of infinitely many converging sequences of infinitely many overlapping intervals of
and which gives us gives us one point not already in the set
an infinite set of such points,
that is, there would have to be:
an infinite set of paired converging sequences of infinitely many converging sequences of infinitely many overlapping intervals of
Furthermore, that infinite set would have to be non-denumerable - we will consider that shortly, but before addressing that difficulty, in order to rescue Lebesgue measure theory, one would also have to assume that:
-
for every possible real number interval, and
-
for every possible enumeration of the rationals, and
-
for every possible initial fraction less than 1⁄2 rather than the 1⁄10 in the definition above,
there exists a non-denumerable infinity of paired converging sequences of infinitely many converging sequences of infinitely many overlapping intervals of
But there is no evidence nor logical reason to support any notion that a converging sequence can somehow exist independently of any definition - a Platonist claim that such sequences might exist independently of any definition is faith based wishful thinking and has no place within serious mathematics. And no logical argument has been proffered to prove why there would have to be such an infinite set of such converging sequences for every possible case, never mind a non-denumerable set. The existence of only one case without such a non-denumerable infinite set invalidates the plea. And we can note that, for the definition of
Such points could not create additional measure
But - even making the above assumption, that in every possible case there are infinitely many converging sequences of infinitely many converging sequences of infinitely many overlapping intervals of
For each such point postulated, that point would require a pair of converging sequences of irrational endpoints of complete intervals of
In summary, the fact that the ever-decreasing sequence plea is brought up at all as a defense seems to indicate a degree of desperation, since it cannot generate any measure not already accounted for.
Appendix: A specific listing of rational numbers
An example of an enumeration of the rationals can be given by using the pattern of rationals:
1⁄2 | 1⁄3 | 1⁄4 | 1⁄5 | 1⁄6 | … |
2⁄3 | 2⁄4 | 2⁄5 | 2⁄6 | … | |
3⁄4 | 3⁄5 | 3⁄6 | … | ||
4⁄5 | 4⁄6 | … | |||
5⁄6 | … |
This gives a list that begins as 1⁄2,1⁄3, 2⁄3, 1⁄4, 3⁄4, 2⁄4, 1⁄5, 2⁄5, 3⁄5, 4⁄5,1⁄6, 2⁄6, 3⁄6, 4⁄6, 5⁄6,… Note that this gives duplicates like 2⁄4, 3⁄21, but the important fact is that the enumeration includes every rational between 0 and 1 (not including 0 or 1). The definition of the list can be made so as to remove the duplicates if required.
Clearly, there can be infinitely many similar enumerations based on similar definitions. An example is given below - note that this enumeration follows a pattern that for each subsequent denominator, the values run from the lowest to the highest value of the numerator. For every subsequent denominator, this gives a pattern of rationals across the interval 0 to 1. This patterning continues infinitely as the terms progress. The enumeration can be represented by an algorithm as follows, where the calculation of the
- Let
t = 0 - If
√ is a Natural number, then: m = (−1 + √ and the )/2n th rational is(m − t)/(m + 1) - Otherwise let
t = t + 1 and repeat from step 2.
This can easily be made into a program as has been done here:
Rationale: Every logical argument must be defined in some language, and every language has limitations. Attempting to construct a logical argument while ignoring how the limitations of language might affect that argument is a bizarre approach. The correct acknowledgment of the interactions of logic and language explains almost all of the paradoxes, and resolves almost all of the contradictions, conundrums, and contentious issues in modern philosophy and mathematics.
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