Discontinuities of monotone functions

Monotone maps have countable discontinuities

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.[1] Prior work on discontinuities had already been discussed in the 1875 memoir of the French mathematician Jean Gaston Darboux.[2]

Definitions

Denote the limit from the left by

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

If f ( x + ) {\displaystyle f\left(x^{+}\right)} and f ( x ) {\displaystyle f\left(x^{-}\right)} exist and are finite then the difference f ( x + ) f ( x ) {\displaystyle f\left(x^{+}\right)-f\left(x^{-}\right)} is called the jump[3] of f {\displaystyle f} at x . {\displaystyle x.}

Consider a real-valued function f {\displaystyle f} of real variable x {\displaystyle x} defined in a neighborhood of a point x . {\displaystyle x.} If f {\displaystyle f} is discontinuous at the point x {\displaystyle 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).[4] If the function is continuous at x {\displaystyle x} then the jump at x {\displaystyle x} is zero. Moreover, if f {\displaystyle f} is not continuous at x , {\displaystyle x,} the jump can be zero at x {\displaystyle x} if f ( x + ) = f ( x ) f ( x ) . {\displaystyle f\left(x^{+}\right)=f\left(x^{-}\right)\neq f(x).}

Precise statement

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

One can prove[5][3] 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 {\displaystyle f} be a monotone function defined on an interval I . {\displaystyle 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 ] . {\displaystyle [a,b].} [6][7] 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 ] {\displaystyle I:=[a,b]} be an interval and let f : I R {\displaystyle f:I\to \mathbb {R} } be a non-decreasing function (such as an increasing function). Then for any a < x < b , {\displaystyle a<x<b,}

f ( a )     f ( a + )     f ( x )     f ( x + )     f ( b )     f ( b ) . {\displaystyle 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 α > 0 {\displaystyle \alpha >0} and let x 1 < x 2 < < x n {\displaystyle x_{1}<x_{2}<\cdots <x_{n}} be n {\displaystyle n} points inside I {\displaystyle I} at which the jump of f {\displaystyle f} is greater or equal to α {\displaystyle \alpha } :
f ( x i + ) f ( x i ) α ,   i = 1 , 2 , , n {\displaystyle f\left(x_{i}^{+}\right)-f\left(x_{i}^{-}\right)\geq \alpha ,\ i=1,2,\ldots ,n}

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

f ( b ) f ( a ) f ( x n + ) f ( x 1 ) = i = 1 n [ f ( x i + ) f ( x i ) ] + i = 1 n 1 [ f ( x i + 1 ) f ( x i + ) ] i = 1 n [ f ( x i + ) f ( x i ) ] n α {\displaystyle {\begin{alignedat}{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{alignedat}}}
and hence n f ( b ) f ( a ) α . {\displaystyle n\leq {\frac {f(b)-f(a)}{\alpha }}.}

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

Define the following sets:

S 1 := { x : x I , f ( x + ) f ( x ) 1 } , {\displaystyle S_{1}:=\left\{x:x\in I,f\left(x^{+}\right)-f\left(x^{-}\right)\geq 1\right\},}
S n := { x : x I , 1 n f ( x + ) f ( x ) < 1 n 1 } ,   n 2. {\displaystyle 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 {\displaystyle S_{n}} is finite or the empty set. The union S = n = 1 S n {\displaystyle 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 , {\displaystyle S_{i},\ i=1,2,\ldots } is at most countable, their union S {\displaystyle S} is also at most countable.

If f {\displaystyle 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. {\displaystyle \blacksquare }

Proof 2

So let f : [ a , b ] R {\displaystyle f:[a,b]\to \mathbb {R} } is a monotone function and let D {\displaystyle D} denote the set of all points d [ a , b ] {\displaystyle d\in [a,b]} in the domain of f {\displaystyle f} at which f {\displaystyle f} is discontinuous (which is necessarily a jump discontinuity).

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

It will now be shown that if d , e D {\displaystyle d,e\in D} are distinct, say with d < e , {\displaystyle d<e,} then y d y e . {\displaystyle y_{d}\neq y_{e}.} If f {\displaystyle f\nearrow } then d < e {\displaystyle d<e} implies f ( d + ) f ( e ) {\displaystyle f\left(d^{+}\right)\leq f\left(e^{-}\right)} so that y d < f ( d + ) f ( e ) < y e . {\displaystyle y_{d}<f\left(d^{+}\right)\leq f\left(e^{-}\right)<y_{e}.} If on the other hand f {\displaystyle f\searrow } then d < e {\displaystyle d<e} implies f ( d + ) f ( e ) {\displaystyle f\left(d^{+}\right)\geq f\left(e^{-}\right)} so that y d > f ( d + ) f ( e ) > y e . {\displaystyle y_{d}>f\left(d^{+}\right)\geq f\left(e^{-}\right)>y_{e}.} Either way, y d y e . {\displaystyle y_{d}\neq y_{e}.}

Thus every d D {\displaystyle d\in D} is associated with a unique rational number (said differently, the map D Q {\displaystyle D\to \mathbb {Q} } defined by d y d {\displaystyle d\mapsto y_{d}} is injective). Since Q {\displaystyle \mathbb {Q} } is countable, the same must be true of D . {\displaystyle D.} {\displaystyle \blacksquare }

Proof of general case

Suppose that the domain of f {\displaystyle f} (a monotone real-valued function) is equal to a union of countably many closed and bounded intervals; say its domain is n [ a n , b n ] {\displaystyle \bigcup _{n}\left[a_{n},b_{n}\right]} (no requirements are placed on these closed and bounded intervals[a]). It follows from the special case proved above that for every index n , {\displaystyle n,} the restriction f | [ a n , b n ] : [ a n , b n ] R {\displaystyle f{\big \vert }_{\left[a_{n},b_{n}\right]}:\left[a_{n},b_{n}\right]\to \mathbb {R} } of f {\displaystyle f} to the interval [ a n , b n ] {\displaystyle \left[a_{n},b_{n}\right]} has at most countably many discontinuities; denote this (countable) set of discontinuities by D n . {\displaystyle D_{n}.} If f {\displaystyle f} has a discontinuity at a point x 0 n [ a n , b n ] {\displaystyle x_{0}\in \bigcup _{n}\left[a_{n},b_{n}\right]} in its domain then either x 0 {\displaystyle x_{0}} is equal to an endpoint of one of these intervals (that is, x 0 { a 1 , b 1 , a 2 , b 2 , } {\displaystyle x_{0}\in \left\{a_{1},b_{1},a_{2},b_{2},\ldots \right\}} ) or else there exists some index n {\displaystyle n} such that a n < x 0 < b n , {\displaystyle a_{n}<x_{0}<b_{n},} in which case x 0 {\displaystyle x_{0}} must be a point of discontinuity for f | [ a n , b n ] {\displaystyle f{\big \vert }_{\left[a_{n},b_{n}\right]}} (that is, x 0 D n {\displaystyle x_{0}\in D_{n}} ). Thus the set D {\displaystyle D} of all points of at which f {\displaystyle f} is discontinuous is a subset of { a 1 , b 1 , a 2 , b 2 , } n D n , {\displaystyle \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 {\displaystyle 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 {\displaystyle f} is an interval I {\displaystyle 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 {\displaystyle I_{n}} with the property that any two consecutive intervals have an endpoint in common: I = n = 1 I n . {\displaystyle I=\cup _{n=1}^{\infty }I_{n}.} If I = ( a , b ]  with  a {\displaystyle I=(a,b]{\text{ with }}a\geq -\infty } then I 1 = [ α 1 , b ] ,   I 2 = [ α 2 , α 1 ] , , I n = [ α n , α n 1 ] , {\displaystyle 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 ( α n ) n = 1 {\displaystyle \left(\alpha _{n}\right)_{n=1}^{\infty }} is a strictly decreasing sequence such that α n a . {\displaystyle \alpha _{n}\rightarrow a.} In a similar way if I = [ a , b ) ,  with  b + {\displaystyle I=[a,b),{\text{ with }}b\leq +\infty } or if I = ( a , b )  with  a < b . {\displaystyle I=(a,b){\text{ with }}-\infty \leq a<b\leq \infty .} In any interval I n , {\displaystyle 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. {\displaystyle \blacksquare }

Jump functions

Examples. Let x1 < x2 < x3 < ⋅⋅⋅ be a countable subset of the compact interval [a,b] and let μ1, μ2, μ3, ... be a positive sequence with finite sum. Set

f ( x ) = n = 1 μ n χ [ x n , b ] ( x ) {\displaystyle f(x)=\sum _{n=1}^{\infty }\mu _{n}\chi _{[x_{n},b]}(x)}

where χA denotes the characteristic function of a compact interval A. Then f is a non-decreasing function on [a,b], which is continuous except for jump discontinuities at xn for n ≥ 1. In the case of finitely many jump discontinuities, 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.[8][9]

More generally, the analysis of monotone functions has been studied by many mathematicians, starting from Abel, Jordan and Darboux. Following 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 [a,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 xn (n ≥ 1) lie in (a, b) and take λ1, λ2, λ3, ... and μ1, μ2, μ3, ... non-negative with finite sum and with λn + μn > 0 for each n. Define

f n ( x ) = 0 {\displaystyle f_{n}(x)=0\,\,} for x < x n , f n ( x n ) = λ n , f n ( x ) = λ n + μ n {\displaystyle \,\,x<x_{n},\,\,f_{n}(x_{n})=\lambda _{n},\,\,f_{n}(x)=\lambda _{n}+\mu _{n}\,\,} for x > x n . {\displaystyle \,\,x>x_{n}.}

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

f ( x ) = n = 1 f n ( x ) = x n x λ n + x n < x μ n , {\displaystyle f(x)=\,\,\sum _{n=1}^{\infty }f_{n}(x)=\,\,\sum _{x_{n}\leq x}\lambda _{n}+\sum _{x_{n}<x}\mu _{n},}

is non-decreasing on [a, b] and is continuous except for jump discontinuities at xn for n ≥ 1.[10][11][12][13]

To prove this, note that sup |fn| = λn + μn, so that Σ fn converges uniformly to f. Passing to the limit, it follows that

f ( x n ) f ( x n 0 ) = λ n , f ( x n + 0 ) f ( x n ) = μ n , {\displaystyle f(x_{n})-f(x_{n}-0)=\lambda _{n},\,\,\,f(x_{n}+0)-f(x_{n})=\mu _{n},\,\,\,} and f ( x ± 0 ) = f ( x ) {\displaystyle \,\,f(x\pm 0)=f(x)}

if x is not one of the xn's.[10]

Conversely, by a differentiation theorem of Lebesgue, the jump function f is uniquely determined by the properties:[14] (1) being non-decreasing and non-positive; (2) having given jump data at its points of discontinuity xn; (3) satisfying the boundary condition f(a) = 0; and (4) having zero derivative almost everywhere.

Proof that a jump function has zero derivative almost everywhere.

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

Note that an open set U of (a,b) is canonically the disjoint union of at most countably many open intervals Im; that allows the total length to be computed ℓ(U)= Σ ℓ(Im). Recall that a null set A is a subset such that, for any arbitrarily small ε' > 0, there is an open U containing A with ℓ(U) < ε'. A crucial property of length is that, if U and V are open in (a,b), then ℓ(U) + ℓ(V) = ℓ(UV) + ℓ(UV).[15] It implies immediately that the union of two null sets is null; and that a finite or countable set is null.[16][17]

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

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

for some s, t with s < x < t. Then Uc(f) is open and has total length ℓ(Uc(f)) ≤ 4 c−1 (f(b) – f(a)).

Note that Uc(f) consists the points x where the slope of h is greater that c near x. By definition Uc(f) is an open subset of (a, b), so can be written as a disjoint union of at most countably many open intervals Ik = (ak, bk). Let Jk be an interval with closure in Ik and ℓ(Jk) = ℓ(Ik)/2. By compactness, there are finitely many open intervals of the form (s,t) covering the closure of Jk. 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 (sk,1,tk,1), (sk,2,tk,2), ... only intersecting at consecutive intervals.[18] Hence

( J k ) m ( t k , m s k , m ) m c 1 ( f ( t k , m ) f ( s k , m ) ) 2 c 1 ( f ( b k ) f ( a k ) ) . {\displaystyle \ell (J_{k})\leq \sum _{m}(t_{k,m}-s_{k,m})\leq \sum _{m}c^{-1}(f(t_{k,m})-f(s_{k,m}))\leq 2c^{-1}(f(b_{k})-f(a_{k})).}

Finally sum both sides over k.[16][17]

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

To prove this, define

D f ( x ) = lim sup s , t x , s < x < t f ( t ) f ( s ) t s , {\displaystyle Df(x)=\limsup _{s,t\rightarrow x,\,\,s<x<t}{f(t)-f(s) \over t-s},}

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

Choose ε > 0, arbitrarily small. Starting from the definition of the jump function f = Σ fn, write f = g + h with g = ΣnN fn and h = Σn>N fn where N ≥ 1. Thus g is a step function having only finitely many discontinuities at xn for nN and h is a non-negative jump function. It follows that Df = g' +Dh = Dh except at the N points of discontinuity of g. Choosing N sufficiently large so that Σn>N λn + μn < ε, it follows that h is a jump function such that h(b) − h(a) < ε and Dhc off an open set with length less than 4ε/c.

By construction Dfc off an open set with length less than 4ε/c. Now set ε' = 4ε/c — then ε' and c are arbitrarily small and Dfc off an open set of length less than ε'. Thus Dfc almost everywhere. Since c could be taken arbitrarily small, Df and hence also f ' must vanish almost everywhere.[16][17]

As explained in Riesz & Sz.-Nagy (1990), every non-decreasing non-negative function F can be decomposed uniquely as a sum of a jump function f and a continuous monotone function g: the jump function f is constructed by using the jump data of the original monotone function F and it is easy to check that g = Ff is continuous and monotone.[10]

See also

Notes

  1. ^ 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 [ a n , b n ] [ a n + 1 , b n + 1 ] {\displaystyle \left[a_{n},b_{n}\right]\subseteq \left[a_{n+1},b_{n+1}\right]} for all n {\displaystyle n}

References

  1. ^ Froda, Alexandre (3 December 1929). Sur la distribution des propriétés de voisinage des functions de variables réelles (PDF) (Thesis). Paris: Hermann. JFM 55.0742.02.
  2. ^ Jean Gaston Darboux, Mémoire sur les fonctions discontinues, Annales Scientifiques de l'École Normale Supérieure, 2-ème série, t. IV, 1875, Chap VI.
  3. ^ a b Nicolescu, Dinculeanu & Marcus 1971, p. 213.
  4. ^ Rudin 1964, Def. 4.26, pp. 81–82.
  5. ^ Rudin 1964, Corollary, p. 83.
  6. ^ Apostol 1957, pp. 162–3.
  7. ^ Hobson 1907, p. 245.
  8. ^ Apostol 1957.
  9. ^ Riesz & Sz.-Nagy 1990.
  10. ^ a b c Riesz & Sz.-Nagy 1990, pp. 13–15
  11. ^ Saks 1937.
  12. ^ Natanson 1955.
  13. ^ Łojasiewicz 1988.
  14. ^ For more details, see
  15. ^ Burkill 1951, pp. 10−11.
  16. ^ a b c Rubel 1963
  17. ^ a b c Komornik 2016
  18. ^ This is a simple example of how Lebesgue covering dimension applies in one real dimension; see for example Edgar (2008).

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