Discontinuities of monotone functions

{{Short description|Monotone maps have countable discontinuities}}

{{Use dmy dates|date=January 2024}}

{{technical|date=May 2025}}

In the mathematical field of analysis, a well-known theorem describes the set of discontinuities of a monotone real-valued function of a real variable; all discontinuities of such a (monotone) function are necessarily jump discontinuities and there are at most countably many of them.

Usually, this theorem appears in literature without a name. It is called Froda's theorem in some recent works; in his 1929 dissertation, Alexandru Froda stated that the result was previously well-known and had provided his own elementary proof for the sake of convenience.{{cite thesis|first=Alexandre|last= Froda|title=Sur la distribution des propriétés de voisinage des functions de variables réelles|url= http://www.numdam.org/item/THESE_1929__102__1_0.pdf|publisher= Hermann|location= Paris|date= 3 December 1929| jfm=55.0742.02}} Prior work on discontinuities had already been discussed in the 1875 memoir of the French mathematician Jean Gaston Darboux.Jean Gaston Darboux, [http://archive.numdam.org/ARCHIVE/ASENS/ASENS_1875_2_4_/ASENS_1875_2_4__57_0/ASENS_1875_2_4__57_0.pdf Mémoire sur les fonctions discontinues], Annales Scientifiques de l'École Normale Supérieure, 2-ème série, t. IV, 1875, Chap VI.

Definitions

Denote the limit from the left by

f\left(x^-\right) := \lim_{z \nearrow x} f(z) = \lim_{\stackrel{h \to 0}{h > 0}} f(x-h)

and denote the limit from the right by

f\left(x^+\right) := \lim_{z \searrow x} f(z) = \lim_{\stackrel{h \to 0}{h > 0}} f(x+h).

If f\left(x^+\right) and f\left(x^-\right) exist and are finite then the difference f\left(x^+\right) - f\left(x^-\right) is called the jump{{sfn|Nicolescu|Dinculeanu|Marcus|1971|p=213}} of f at x.

Consider a real-valued function f of real variable x defined in a neighborhood of a point x. If f is discontinuous at the point x then the discontinuity will be a removable discontinuity, or an essential discontinuity, or a jump discontinuity (also called a discontinuity of the first kind).{{sfn|Rudin|1964|loc=Def. 4.26, pp. 81–82}}

If the function is continuous at x then the jump at x is zero. Moreover, if f is not continuous at x, the jump can be zero at x if f\left(x^+\right) = f\left(x^-\right) \neq f(x).

Precise statement

Let f be a real-valued monotone function defined on an interval I. Then the set of discontinuities of the first kind is at most countable.

One can prove{{sfn|Rudin|1964|loc=Corollary, p. 83}}{{sfn|Nicolescu|Dinculeanu|Marcus|1971|p=213}} that all points of discontinuity of a monotone real-valued function defined on an interval are jump discontinuities and hence, by our definition, of the first kind. With this remark the theorem takes the stronger form:

Let f be a monotone function defined on an interval I. Then the set of discontinuities is at most countable.

Proofs

This proof starts by proving the special case where the function's domain is a closed and bounded interval [a, b].{{sfn|Apostol|1957|pp=162–3}}{{sfn|Hobson|1907|p=245}} The proof of the general case follows from this special case.

= Proof when the domain is closed and bounded =

Two proofs of this special case are given.

== Proof 1 ==

Let I := [a, b] be an interval and let f : I \to \R be a non-decreasing function (such as an increasing function).

Then for any a < x < b,

f(a) ~\leq~ f\left(a^+\right) ~\leq~ f\left(x^-\right) ~\leq~ f\left(x^+\right) ~\leq~ f\left(b^-\right) ~\leq~ f(b).

Let \alpha > 0 and let x_1 < x_2 < \cdots < x_n be n points inside I at which the jump of f is greater or equal to \alpha:

f\left(x_i^+\right) - f\left(x_i^-\right) \geq \alpha,\ i=1,2,\ldots,n

For any i=1,2,\ldots,n, f\left(x_i^+\right) \leq f\left(x_{i+1}^-\right) so that f\left(x_{i+1}^-\right) - f\left(x_i^+\right) \geq 0.

Consequently,

\begin{alignat}{9}

f(b) - f(a)

&\geq f\left(x_n^+\right) - f\left(x_1^-\right) \\

&= \sum_{i=1}^n \left[f\left(x_i^+\right) - f\left(x_i^-\right)\right] + \sum_{i=1}^{n-1} \left[f\left(x_{i+1}^-\right) - f\left(x_i^+\right)\right] \\

&\geq \sum_{i=1}^n \left[f\left(x_i^+\right) - f\left(x_i^-\right)\right] \\

&\geq n \alpha

\end{alignat}

and hence n \leq \frac{f(b) - f(a)}{\alpha}.

Since f(b) - f(a) < \infty we have that the number of points at which the jump is greater than \alpha is finite (possibly even zero).

Define the following sets:

S_1: = \left\{x : x \in I, f\left(x^+\right) - f\left(x^-\right) \geq 1\right\},

S_n: = \left\{x : x \in I, \frac{1}{n} \leq f\left(x^+\right) - f\left(x^-\right) < \frac{1}{n-1}\right\},\ n\geq 2.

Each set S_n is finite or the empty set. The union

S = \bigcup_{n=1}^\infty S_n contains all points at which the jump is positive and hence contains all points of discontinuity. Since every S_i,\ i=1,2,\ldots is at most countable, their union S is also at most countable.

If f is non-increasing (or decreasing) then the proof is similar. This completes the proof of the special case where the function's domain is a closed and bounded interval.

\blacksquare

== Proof 2 ==

For a monotone function f, let f\nearrow mean that f is monotonically non-decreasing and let f\swarrow mean that f is monotonically non-increasing. Let f : [a, b] \to \R is a monotone function and let D denote the set of all points d \in [a, b] in the domain of f at which f is discontinuous (which is necessarily a jump discontinuity).

Because f has a jump discontinuity at d \in D, f\left(d^-\right) \neq f\left(d^+\right) so there exists some rational number y_d \in \Q that lies strictly in between f\left(d^-\right) \text{ and } f\left(d^+\right) (specifically, if f \nearrow then pick y_d \in \Q so that f\left(d^-\right) < y_d < f\left(d^+\right) while if f \searrow then pick y_d \in \Q so that f\left(d^-\right) > y_d > f\left(d^+\right) holds).

It will now be shown that if d, e \in D are distinct, say with d < e, then y_d \neq y_e.

If f \nearrow then d < e implies f\left(d^+\right) \leq f\left(e^-\right) so that y_d < f\left(d^+\right) \leq f\left(e^-\right) < y_e.

If on the other hand f \searrow then d < e implies f\left(d^+\right) \geq f\left(e^-\right) so that y_d > f\left(d^+\right) \geq f\left(e^-\right) > y_e.

Either way, y_d \neq y_e.

Thus every d \in D is associated with a unique rational number (said differently, the map D \to \Q defined by d \mapsto y_d is injective).

Since \Q is countable, the same must be true of D.

\blacksquare

= Proof of general case =

Suppose that the domain of f (a monotone real-valued function) is equal to a union of countably many closed and bounded intervals; say its domain is \bigcup_{n} \left[a_n, b_n\right] (no requirements are placed on these closed and bounded intervals{{efn|So for instance, these intervals need not be pairwise disjoint nor is it required that they intersect only at endpoints. It is even possible that \left[a_n, b_n\right] \subseteq \left[a_{n+1}, b_{n+1}\right] for all n}}).

It follows from the special case proved above that for every index n, the restriction f\big\vert_{\left[a_n, b_n\right]} : \left[a_n, b_n\right] \to \R of f to the interval \left[a_n, b_n\right] has at most countably many discontinuities; denote this (countable) set of discontinuities by D_n.

If f has a discontinuity at a point x_0 \in \bigcup_{n} \left[a_n, b_n\right] in its domain then either x_0 is equal to an endpoint of one of these intervals (that is, x_0 \in \left\{a_1, b_1, a_2, b_2, \ldots\right\}) or else there exists some index n such that a_n < x_0 < b_n, in which case x_0 must be a point of discontinuity for f\big\vert_{\left[a_n, b_n\right]} (that is, x_0 \in D_n).

Thus the set D of all points of at which f is discontinuous is a subset of \left\{a_1, b_1, a_2, b_2, \ldots\right\} \cup \bigcup_{n} D_n, which is a countable set (because it is a union of countably many countable sets) so that its subset D must also be countable (because every subset of a countable set is countable).

In particular, because every interval (including open intervals and half open/closed intervals) of real numbers can be written as a countable union of closed and bounded intervals, it follows that any monotone real-valued function defined on an interval has at most countable many discontinuities.

To make this argument more concrete, suppose that the domain of f is an interval I that is not closed and bounded (and hence by Heine–Borel theorem not compact).

Then the interval can be written as a countable union of closed and bounded intervals I_n with the property that any two consecutive intervals have an endpoint in common: I = \cup_{n=1}^\infty I_n.

If I = (a,b] \text{ with } a \geq -\infty then I_1 = \left[\alpha_1, b\right],\ I_2 = \left[\alpha_2, \alpha_1\right], \ldots, I_n = \left[\alpha_n, \alpha_{n-1}\right], \ldots where \left(\alpha_n\right)_{n=1}^{\infty} is a strictly decreasing sequence such that \alpha_n \rightarrow a. In a similar way if I = [a,b), \text{ with } b \leq +\infty or if I = (a,b) \text{ with } -\infty \leq a < b \leq \infty.

In any interval I_n, there are at most countable many points of discontinuity, and since a countable union of at most countable sets is at most countable, it follows that the set of all discontinuities is at most countable.

\blacksquare

Jump functions

Examples. Let {{mvar|x}}1 < {{mvar|x}}2 < {{mvar|x}}3 < ⋅⋅⋅ be a countable subset of the compact interval [{{mvar|a}},{{mvar|b}}] and let μ1, μ2, μ3, ... be a positive sequence with finite sum. Set

: f(x) = \sum_{n=1}^{\infty} \mu_n \chi_{[x_n,b]} (x)

where χA denotes the characteristic function of a compact interval {{mvar|A}}. Then {{mvar|f}} is a non-decreasing function on [{{mvar|a}},{{mvar|b}}], which is continuous except for jump discontinuities at {{mvar|x}}{{mvar|n}} for {{mvar|n}} ≥ 1. In the case of finitely many jump discontinuities, {{mvar|f}} is a step function. The examples above are generalised step functions; they are very special cases of what are called jump functions or saltus-functions.{{sfn|Apostol|1957}}{{sfn|Riesz|Sz.-Nagy|1990}}

More generally, the analysis of monotone functions has been studied by many mathematicians, starting from Abel, Jordan and Darboux. Following {{harvtxt|Riesz|Sz.-Nagy|1990}}, replacing a function by its negative if necessary, only the case of non-negative non-decreasing functions has to be considered. The domain [{{mvar|a}},{{mvar|b}}] can be finite or have ∞ or −∞ as endpoints.

The main task is to construct monotone functions — generalising step functions — with discontinuities at a given denumerable set of points and with prescribed left and right discontinuities at each of these points.

Let {{mvar|xn}} ({{mvar|n}} ≥ 1) lie in ({{mvar|a}}, {{mvar|b}}) and take λ1, λ2, λ3, ... and μ1, μ2, μ3, ... non-negative with finite sum and with λ{{mvar|n}} + μ{{mvar|n}} > 0 for each {{mvar|n}}. Define

:f_n(x)=0\,\, for \,\, x < x_n,\,\, f_n(x_n) = \lambda_n, \,\, f_n(x) = \lambda_n +\mu_n\,\, for \,\, x > x_n.

Then the jump function, or saltus-function, defined by

: f(x)=\,\,\sum_{n=1}^\infty f_n(x) =\,\, \sum_{x_n\le x} \lambda_n + \sum_{x_n

is non-decreasing on [{{mvar|a}}, {{mvar|b}}] and is continuous except for jump discontinuities at {{mvar|xn}} for {{mvar|n}} ≥ 1.{{sfn|Saks|1937}}{{sfn|Natanson|1955}}{{sfn|Łojasiewicz|1988}}

To prove this, note that sup |{{mvar|f}}{{mvar|n}}| = λ{{mvar|n}} + μ{{mvar|n}}, so that Σ {{mvar|f}}{{mvar|n}} converges uniformly to {{mvar|f}}. Passing to the limit, it follows that

:f(x_n)-f(x_n-0)=\lambda_n,\,\,\, f(x_n+0)-f(x_n)=\mu_n,\,\,\, and \,\, f(x\pm 0)=f(x)

if {{mvar|x}} is not one of the {{mvar|x}}{{mvar|n}}'s.

Conversely, by a differentiation theorem of Lebesgue, the jump function {{mvar|f}} is uniquely determined by the properties:For more details, see

  • {{harvnb|Riesz|Sz.-Nagy|1990}}
  • {{harvnb|Young|Young|1911}}
  • {{harvnb|von Neumann|1950}}
  • {{harvnb|Boas|1961}}
  • {{harvnb|Lipiński|1961}}
  • {{harvnb|Rubel|1963}}
  • {{harvnb|Komornik|2016}}

(1) being non-decreasing and non-positive; (2) having given jump data at its points of discontinuity {{mvar|x}}{{mvar|n}}; (3) satisfying the boundary condition {{mvar|f}}({{mvar|a}}) = 0; and (4) having zero derivative almost everywhere.

{{Collapse top|title=Proof that a jump function has zero derivative almost everywhere.|left=yes}}

Property (4) can be checked following {{harvtxt|Riesz|Sz.-Nagy|1990}}, {{harvtxt|Rubel|1963}} and {{harvtxt|Komornik|2016}}. Without loss of generality, it can be assumed that {{mvar|f}} is a non-negative jump function defined on the compact [{{mvar|a}},{{mvar|b}}], with discontinuities only in ({{mvar|a}},{{mvar|b}}).

Note that an open set {{mvar|U}} of ({{mvar|a}},{{mvar|b}}) is canonically the disjoint union of at most countably many open intervals {{mvar|I}}{{mvar|m}}; that allows the total length to be computed ℓ({{mvar|U}})= Σ ℓ({{mvar|I}}{{mvar|m}}). Recall that a null set {{mvar|A}} is a subset such that, for any arbitrarily small ε' > 0, there is an open {{mvar|U}} containing {{mvar|A}} with ℓ({{mvar|U}}) < ε'. A crucial property of length is that, if {{mvar|U}} and {{mvar|V}} are open in ({{mvar|a}},{{mvar|b}}), then ℓ({{mvar|U}}) + ℓ({{mvar|V}}) = ℓ({{mvar|U}} ∪ {{mvar|V}}) + ℓ({{mvar|U}} ∩ {{mvar|V}}).{{sfn|Burkill|1951|pp=10−11}} It implies immediately that the union of two null sets is null; and that a finite or countable set is null.{{harvnb|Rubel|1963}}{{harvnb|Komornik|2016}}

Proposition 1. For {{mvar|c}} > 0 and a normalised non-negative jump function {{mvar|f}}, let {{mvar|U}}{{mvar|c}}({{mvar|f}}) be the set of points {{mvar|x}} such that

:{f(t)-f(s)\over t -s} > c

for some {{mvar|s}}, {{mvar|t}} with {{mvar|s}} < {{mvar|x}} < {{mvar|t}}. Then

{{mvar|U}}{{mvar|c}}({{mvar|f}}) is open and has total length ℓ({{mvar|U}}{{mvar|c}}({{mvar|f}})) ≤ 4 {{mvar|c}}−1 ({{mvar|f}}({{mvar|b}}) – {{mvar|f}}({{mvar|a}})).

Note that {{mvar|U}}{{mvar|c}}({{mvar|f}}) consists the points {{mvar|x}} where the slope of {{mvar|h}} is greater that {{mvar|c}} near {{mvar|x}}. By definition {{mvar|U}}{{mvar|c}}({{mvar|f}}) is an open subset of ({{mvar|a}}, {{mvar|b}}), so can be written as a disjoint union of at most countably many open intervals {{mvar|I}}{{mvar|k}} = ({{mvar|a}}{{mvar|k}}, {{mvar|b}}{{mvar|k}}). Let {{mvar|J}}{{mvar|k}} be an interval with closure in {{mvar|I}}{{mvar|k}} and ℓ({{mvar|J}}{{mvar|k}}) = ℓ({{mvar|I}}{{mvar|k}})/2. By compactness, there are finitely many open intervals of the form ({{mvar|s}},{{mvar|t}}) covering the closure of {{mvar|J}}{{mvar|k}}. On the other hand, it is elementary that, if three fixed bounded open intervals have a common point of intersection, then their union contains one of the three intervals: indeed just take the supremum and infimum points to identify the endpoints. As a result, the finite cover can be taken as adjacent open intervals ({{mvar|s}}{{mvar|k,1}},{{mvar|t}}{{mvar|k,1}}), ({{mvar|s}}{{mvar|k,2}},{{mvar|t}}{{mvar|k,2}}), ... only intersecting at consecutive intervals.This is a simple example of how Lebesgue covering dimension applies in one real dimension; see for example {{harvtxt|Edgar|2008}}. Hence

:\ell(J_k) \le \sum_m (t_{k,m} - s_{k,m}) \le \sum_m c^{-1}(f(t_{k,m})-f(s_{k,m})) \le 2 c^{-1}(f(b_k)-f(a_k)).

Finally sum both sides over {{mvar|k}}.

Proposition 2. If {{mvar|f}} is a jump function, then {{mvar|f}} '({{mvar|x}}) = 0 almost everywhere.

To prove this, define

:Df(x)= \limsup_{s,t\rightarrow x,\,\, s

a variant of the Dini derivative of {{mvar|f}}. It will suffice to prove that for any fixed {{mvar|c}} > 0, the Dini derivative satisfies {{mvar|D}}{{mvar|f}}({{mvar|x}}) ≤ {{mvar|c}} almost everywhere, i.e. on a null set.

Choose ε > 0, arbitrarily small. Starting from the definition of the jump function {{mvar|f}} = Σ {{mvar|f}}{{mvar|n}}, write {{mvar|f}} = {{mvar|g}} + {{mvar|h}} with {{mvar|g}} = Σ{{mvar|n}}≤{{mvar|N}} {{mvar|f}}{{mvar|n}} and {{var|h}} = Σ{{mvar|n}}>{{mvar|N}} {{mvar|f}}{{mvar|n}} where {{mvar|N}} ≥ 1. Thus {{mvar|g}} is a step function having only finitely many discontinuities at {{mvar|x}}{{mvar|n}} for {{mvar|n}} ≤ {{mvar|N}} and {{mvar|h}} is a non-negative jump function. It follows that {{mvar|D}}{{mvar|f}} = {{mvar|g}}' +{{mvar|D}}{{mvar|h}} = {{mvar|D}}{{mvar|h}} except at the {{mvar|N}} points of discontinuity of {{mvar|g}}. Choosing {{mvar|N}} sufficiently large so that Σ{{mvar|n}}>{{mvar|N}} λ{{mvar|n}} + μ{{mvar|n}} < ε, it follows that {{mvar|h}} is a jump function such that {{mvar|h}}({{mvar|b}}) − {{mvar|h}}({{mvar|a}}) < ε and {{mvar|Dh}} ≤ {{mvar|c}} off an open set with length less than 4ε/{{mvar|c}}.

By construction {{mvar|Df}} ≤ {{mvar|c}} off an open set with length less than 4ε/{{mvar|c}}. Now set ε' = 4ε/{{mvar|c}} — then ε' and {{mvar|c}} are arbitrarily small and {{mvar|Df}} ≤ {{mvar|c}} off an open set of length less than ε'. Thus {{mvar|Df}} ≤ {{mvar|c}} almost everywhere. Since {{mvar|c}} could be taken arbitrarily small, {{mvar|Df}} and hence also {{mvar|f}} ' must vanish almost everywhere.

{{Collapse bottom}}

As explained in {{harvtxt|Riesz|Sz.-Nagy|1990}}, every non-decreasing non-negative function {{mvar|F}} can be decomposed uniquely as a sum of a jump function {{mvar|f}} and a continuous monotone function {{mvar|g}}: the jump function {{mvar|f}} is constructed by using the jump data of the original monotone function {{mvar|F}} and it is easy to check that {{mvar|g}} = {{mvar|F}} − {{mvar|f}} is continuous and monotone.{{harvnb|Riesz|Sz.-Nagy|1990|pp=13–15}}

See also

  • {{annotated link|Continuous function}}
  • {{annotated link|Bounded variation}}
  • Monotone function

Notes

{{notelist}}

References

{{reflist|30em}}

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|doi=10.1515/9781400881895|chapter= IX. Monotonic Functions|pages=63–82|isbn=978-1-4008-8189-5}}

  • {{cite journal|url=https://londmathsoc.onlinelibrary.wiley.com/doi/epdf/10.1112/plms/s2-9.1.325|first1=William Henry|last1=Young|first2=Grace Chisholm|last2=Young|journal=Proc. London Math. Soc.|title=On the Existence of a Differential Coefficient|year=1911|pages=325–335

|series=2|volume=9|issue=1|doi=10.1112/plms/s2-9.1.325}}

Category:Articles containing proofs

Category:Theory of continuous functions

Category:Theorems in real analysis