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20 results · all verified · 8 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 12 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Differentiation of Monotone Functions and the Vitali Covering Theorem

1 · Prerequisites

2 · Summary

This page keeps the three classical seams visible. The first block packages the four Dini derivatives and the finite derivative convention. The second proves the rising-sun route, first for continuous monotone functions and then for general monotone functions after the jump-part reduction. The third proves the interval Vitali theorem and the null-set characterisation that later measure arguments use.

The remaining items compare that route with the Lebesgue-Stieltjes route, record the sharp integral inequality for increasing functions, and state the atomic, absolutely continuous, and singular-continuous decompositions that probability and harmonic-analysis pages cite later.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

The four Dini derivatives of a real function at a point

Definition

Let IR be an interval, let f:IR, and let xI.

If x has points of I arbitrarily close on the right, the upper right Dini derivative and lower right Dini derivative of f at x are

D+f(x):=lim suph0+f(x+h)f(x)h,

D+f(x):=lim infh0+f(x+h)f(x)h.

If x has points of I arbitrarily close on the left, the upper left Dini derivative and lower left Dini derivative of f at x are

Df(x):=lim suph0+f(x)f(xh)h,

Df(x):=lim infh0+f(x)f(xh)h.

Each value is taken in the extended real line The extended real line R=R{,+}, its order, and the arithmetic that is left undefined, so the symbols remain meaningful even when the difference quotients are unbounded. When x is an interior point of I and the usual finite derivative of The derivative f(c)=limxcf(x)f(c)xc of f:AR at a point cA that is a limit point of A, and differentiability on a set exists, it is the common finite value of all four Dini derivatives.

Remarks

  • The point of the Dini package is that no boundedness hypothesis is hidden in the notation: + and are permitted values.
  • The one-sided direction of the limit is the same h0+ in all four formulas. The left derivatives use the quotient at xh, not a separate limit with h0.
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

The four Dini derivatives always exist in the extended reals, satisfy the one-sided order inequalities, and detect finite differentiability

Statement

Let IR be an interval, let f:IR, and let xI.

  1. Every well-posed Dini derivative of The four Dini derivatives of a real function at a point exists in R=R{±} (The extended real line R=R{,+}, its order, and the arithmetic that is left undefined).
  2. On each available side one has D+f(x)D+f(x),Df(x)Df(x).
  3. If x is an interior point of I, then the finite derivative f(x) of The derivative f(c)=limxcf(x)f(c)xc of f:AR at a point cA that is a limit point of A, and differentiability on a set exists if and only if all four Dini derivatives exist as the same finite real number.

Facts & Assumptions

Given: The interval I, the function f:IR, and the point xI.

[A1]

We use the Dini-derivative notation fixed in the statement.

Proof

technique · direct
1.1

Each well-posed Dini derivative is an upper or lower limit of a nonempty family of real difference quotients, so its value exists in R by the definitions of lim sup and lim inf on the extended line. This proves claim 1.

given
1.2

For every family of real numbers, the liminf is at most the limsup. Applied to the right-hand difference quotients and to the left-hand difference quotients, this gives D+f(x)D+f(x) and Df(x)Df(x). This is claim 2.

given
2.1

Assume first that f(x) exists as a finite real number L. Then the right and left difference quotients both converge to L, because a two-sided limit exists exactly when both one-sided limits exist and agree (If c is a limit point of the domain from both sides, the limit exists iff both one-sided limits exist and agree). Hence each one-sided limsup and each one-sided liminf equals L, so all four Dini derivatives equal L.

step 1.2
2.2

Conversely, assume that the four Dini derivatives all equal the same finite real number L. Then on the right the limsup and liminf of the difference quotients coincide at L, so the right-hand quotient limit exists and equals L; the same is true on the left. Therefore the two-sided derivative exists and equals L by If c is a limit point of the domain from both sides, the limit exists iff both one-sided limits exist and agree.

step 1.2
3.1

Steps 2.1 and 2.2 prove claim 3, and steps 1.1 and 1.2 prove claims 1 and 2.

step 1.1step 1.2step 2.1step 2.2
RemarkRemark: AI-adaptedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

The Dini-derivative criterion is the extended-real shadow of the library's finite derivative convention

Remark

The library's published notion of derivative, The derivative f(c)=limxcf(x)f(c)xc of f:AR at a point cA that is a limit point of A, and differentiability on a set, is a finite real number. For a function on an interval at an interior point, The four Dini derivatives always exist in the extended reals, satisfy the one-sided order inequalities, and detect finite differentiability says that the derivative exists exactly when the upper and lower right and left Dini derivatives all agree and their common value is finite. At an interval endpoint, the relative-domain derivative may exist while the two Dini derivatives on the unavailable side are not defined.

The extended-real cases are deliberately kept outside the word "derivative" in this library. If all four Dini derivatives agree at + or at , that is still informative, but it is not recorded as "f(x) exists" because the finite-value contract of The derivative f(c)=limxcf(x)f(c)xc of f:AR at a point cA that is a limit point of A, and differentiability on a set would then be false.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

Vitali covers and fine covers on the real line by closed intervals

Definition

Let ER, and let V be a family of bounded closed nondegenerate intervals Intervals of R: the nine order-convex forms, nondegeneracy, and length, so every member has the form [u,v] with u<v.

We say that V is a fine cover of E when for every xE and every δ>0 there is an interval IV such that xI and I<δ, where [u,v]:=vu.

On this page, a Vitali cover of E means the same thing: a cover by bounded closed intervals that shrinks to each covered point. In one dimension this is the interval form of the ball-language statement.

Remarks

  • The word "fine" emphasizes the shrinking property. An arbitrary interval cover of E need not be fine.
  • Closed intervals are used because that is the exact one-dimensional form proved later on this page; replacing them by balls gives the same theorem on the line.
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

Riesz's rising sun lemma with the correct endpoint conclusion

Statement

Let F:[a,b]R be continuous (Continuity of f:AR at a point of A and on A: the ε-δ condition, its agreement with limxcf(x)=f(c) at a limit point, and continuity at an isolated point) and put

E:={x[a,b):there is y(x,b] with F(y)>F(x)}.

Then E is an open subset of the subspace [a,b). Equivalently, E(a,b) is open in R, and every component of E is either an initial half-open interval [a,d) when aE, or an open interval (c,d) with ac<db (Every open subset of R is a countable disjoint union of open intervals, namely its order components). For every component I of E with left endpoint c and right endpoint d one has

F(c)F(d),

and if c>a then in fact

F(c)=F(d).

Equivalently, every xI satisfies F(x)<F(d), while if c>a then F(x)<F(c)=F(d) for all xI.

Facts & Assumptions

Given: The continuous function F:[a,b]R and the set E[a,b) just defined.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Let xE. Choose y>x with F(y)>F(x). By continuity at x, after shrinking if necessary there is ε with 0<ε<yx such that F(t)<F(y) whenever tx<ε and t[a,b]. Every t(xε,x+ε)[a,b) then satisfies t<y and F(t)<F(y), so it also belongs to E. Thus E is open in the subspace [a,b). Therefore E(a,b) is open in R, and Every open subset of R is a countable disjoint union of open intervals, namely its order components writes it as a countable disjoint union of open intervals. A component meeting the left endpoint is [a,d) when aE; if aE, an open component may instead have the form (a,d). Thus every component of E is either [a,d) when aE, or (c,d) with ac<db.

given
2.1

Fix a component I of E, write its left endpoint as c and its right endpoint as d, and let xI. By the extreme value theorem Extreme value theorem: a continuous real function on a nonempty compact subset of R attains a greatest and a least value, choose t[x,b] at which F attains its maximum on [x,b]. Since xE, some point to the right of x has value greater than F(x), so t>x and F(t)>F(x). The maximizing point t does not belong to E. Since every point of I lies in E, this forces td. If d<b and F(t)>F(d), then necessarily t>d, which would put d in E, contrary to d being the right endpoint of the component. Thus F(t)F(d); the reverse inequality holds because d[x,b] and t is a maximizer. When d=b one has t=d directly. Hence in all cases F(x)<F(t)=F(d).

step 1.1
3.1

Letting xc through points of I in step 2.1 and using continuity at c gives F(c)F(d). If c>a, then cE, so no point to the right of c has value strictly larger than F(c); in particular F(d)F(c). Hence F(c)=F(d) when c>a.

step 2.1
4.1

Steps 1.1 through 3.1 are exactly the claimed conclusions.

step 1.1step 2.1step 3.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

One-sided Hardy-Littlewood inequalities for the Dini derivatives of a continuous monotone function

Statement

Let F:[a,b]R be continuous and nondecreasing (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R, with the dictionary to monotone sequences). Let [u,v][a,b] with u<v.

  1. For every R>0, if ER+(u,v):={x[u,v):D+F(x)>R}, then Rλ(ER+(u,v))F(v)F(u).
  2. For every 0<r<R, if Er,R(u,v):={x(u,v]:DF(x)<r}, then (Rr)λ(Er,R(u,v))R(vu)F(v)+F(u).

Here λ is Lebesgue measure from Lebesgue measurable sets, the family L(Rn), and the restricted set function λn.

Facts & Assumptions

Given: The continuous nondecreasing function F:[a,b]R and the subinterval [u,v][a,b].

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Fix R>0 and put G(x):=F(x)Rx on [u,v]. If xER+(u,v), then some y(x,v] satisfies F(y)F(x)yx>R, hence G(y)>G(x). Therefore ER+(u,v) is contained in the rising-sun set of G on [u,v]. By Riesz's rising sun lemma with the correct endpoint conclusion, the components of that set are intervals In whose left and right endpoints we call cn,dn, with each In either [u,dn) or (cn,dn), and with G(cn)G(dn) for every n. Thus R(dncn)F(dn)F(cn) for every n. Summing over finitely many components and using that the disjoint ordered intervals In lie in [u,v] gives RnN(dncn)nN(F(dn)F(cn))F(v)F(u), so Rλ(ER+(u,v))F(v)F(u).

givenalgebra
2.1

Fix 0<r<R and put H(x):=RxF(x) on [u,v]. If xEr,R(u,v), then for some y[u,x) one has F(x)F(y)xy<r, hence H(x)H(y)>(Rr)(xy)>0. Reflecting H across the midpoint of [u,v] turns this into the right-hand rising-sun situation on a continuous function, so the same argument as in step 1.1 yields a disjoint family of intervals whose total length bounds λ(Er,R(u,v)) and on each such interval H(d)H(c)(Rr)(dc). Summing gives (Rr)λ(Er,R(u,v))H(v)H(u)=R(vu)F(v)+F(u).

step 1.1algebra
3.1

Steps 1.1 and 2.1 are the two asserted inequalities.

step 1.1step 2.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

A continuous monotone function is differentiable almost everywhere by the rising-sun route

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Let F:[a,b]R be continuous and monotone. Then F is differentiable at Lebesgue-almost every point of (a,b).

Facts & Assumptions

Given: Countable choice and a continuous monotone function F:[a,b]R.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Replacing F by F if necessary, we may assume that F is nondecreasing. For each integer N1, the first inequality of One-sided Hardy-Littlewood inequalities for the Dini derivatives of a continuous monotone function with u=a, v=b, and R=N shows that the sets {x[a,b):D+F(x)>N} and, after reflecting the interval, {x(a,b]:DF(x)>N} have measure at most (F(b)F(a))/N. Hence D+F and DF are finite almost everywhere.

given
2.1

Fix rationals 0<r<R and put Er,R:={x(a,b):D+F(x)>R and DF(x)<r}. For each rational h>0, the maps xF(x+h)F(x)hon (a,bh),xF(x)F(xh)hon (a+h,b) are continuous because F is continuous. Therefore {D+F>R}=m1hQ0<h<1/m{x(a,bh):F(x+h)F(x)h>R}, and similarly {DF<r}=m1hQ0<h<1/m{x(a+h,b):F(x)F(xh)h<r}. Hence both sets are Borel, so Er,R is Lebesgue measurable. For any subinterval [u,v][a,b], the two inequalities of One-sided Hardy-Littlewood inequalities for the Dini derivatives of a continuous monotone function give Rλ(Er,R[u,v])F(v)F(u) and (Rr)λ(Er,R[u,v])R(vu)F(v)+F(u). Adding them yields (2Rr)λ(Er,R[u,v])R(vu), so λ(Er,R[u,v])R2Rr(vu). The constant R2Rr is strictly less than 1. Therefore no point of Er,R can be a density-one point of Er,R. By the Lebesgue density theorem Lebesgue density theorem, Er,R is null.

step 1.1algebra
3.1

Applying step 2.1 to the reflected function xF(a+bx) shows that for every rational 0<r<R the set Er,R:={x(a,b):DF(x)>R and D+F(x)<r} is null as well. Taking the countable union over rational pairs and using A countable union of measure-zero sets has measure zero, by countable choice, we conclude that outside a null set one has D+FDF and DFD+F. Combined with the sidewise inequalities D+FD+F and DFDF from The four Dini derivatives always exist in the extended reals, satisfy the one-sided order inequalities, and detect finite differentiability, this forces D+F=D+F=DF=DF at almost every point where the four Dini derivatives are finite.

step 2.1
4.1

Steps 1.1 and 3.1 show that all four Dini derivatives agree finitely almost everywhere on (a,b). Therefore The four Dini derivatives always exist in the extended reals, satisfy the one-sided order inequalities, and detect finite differentiability implies that F exists almost everywhere. Since a null set in the Lebesgue sense is the same as elementary measure zero on the line (A subset of R has Lebesgue outer measure zero if and only if it has measure zero in the sense of countable closed-interval covers), this is exactly the claimed almost-everywhere statement.

step 1.1step 3.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

The jump function of a nondecreasing function on a compact interval

Definition

Let ab, and let F:[a,b]R be nondecreasing (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R, with the dictionary to monotone sequences). When a<b, write

βa:=limxa+F(x)F(a),

which exists by One-sided limits of a monotone function always exist: for f nondecreasing on an interval I and cI, limxcf(x)=sup{f(x):xI, x<c} whenever I has points below c, limxc+f(x)=inf{f(x):xI, x>c} whenever it has points above c, and these satisfy limxcf(x)f(c)limxc+f(x) and is nonnegative. When a=b, put βa:=0. For x[a,b] define the jump function JF by

JF(a):=0,

and, for x>a,

JF(x):=βa+sup{tS(F(t)F(t))  +  uT(F(u+)F(u)):S(a,x] finite,T(a,x) finite}.

The summands are nonnegative, and the supremum is taken in the complete ordered field of the reals (Complete ordered field (least-upper-bound property)).

Remarks

  • When a<b, the endpoint defect at a is included separately because a nondecreasing function on [a,b] can fail to be continuous at the left endpoint without having a left-hand jump there. The convention βa=0 makes the degenerate interval [a,a] harmless.
  • The first sum collects left jumps at points at or before x, while the second collects right jumps at points strictly before x. Later A nondecreasing function splits uniquely into a jump part and a continuous part proves that these two contributions exactly remove the discontinuities of F, so FJF is continuous.
  • If F is right-continuous, then every interior right jump is zero and the definition reduces to the usual cumulative left-jump function.
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

A nondecreasing function splits uniquely into a jump part and a continuous part

Statement

Let ab, let F:[a,b]R be nondecreasing, and let JF be the jump function of The jump function of a nondecreasing function on a compact interval, and put

CF:=FJF.

Then:

  1. JF and CF are nondecreasing;
  2. if a<b and (sn)nA is any enumeration without repetitions of the discontinuity set of F in (a,b), where AN, then for every x>a, JF(x)=βa+nA, snx(F(sn)F(sn))+nA, sn<x(F(sn+)F(sn))+1{b}(x)(F(b)F(b));
  3. CF is continuous on [a,b];
  4. F=JF+CF on [a,b], and JF has exactly the same left and right jumps as F;
  5. when a<b, the endpoint defect at a, the interior left and right jump sizes, and the left jump at b determine JF pointwise, and then CF=FJF is forced; when a=b, one has JF(a)=0 and CF(a)=F(a).

Facts & Assumptions

Given: Reals ab, the nondecreasing function F:[a,b]R, the jump function JF, and the remainder CF=FJF.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

If a=b, the definition gives JF(a)=0 and CF(a)=F(a), so all five claims are immediate on the singleton interval. Hence assume a<b from now on.

given
1.2

If a<x<yb, every finite pair (S,T) with S(a,x] and T(a,x) is also admissible for y, so JF(x)JF(y). The comparison with x=a follows from JF(a)=0 and the nonnegative definition of JF(y). Thus JF is nondecreasing on [a,b].

given
2.1

Fix ax<yb. First suppose x>a, and split any finite pair (S,T) admissible in the definition of JF(y) into its old part S0(a,x], T0(a,x) and its new part S1(x,y], T1[x,y). The old contribution, including βa, is at most JF(x). Order the distinct points of S1T1. Monotonicity of F makes the new jump contributions telescope through disjoint successive value intervals from F(x) to F(y); this includes the possible right jump F(x+)F(x) when xT1, and gives a total at most F(y)F(x). Taking the supremum over (S,T) yields JF(y)JF(x)F(y)F(x). If x=a, the endpoint contribution βa=F(a+)F(a) followed by the jumps in (a,y] and (a,y) telescopes in the same way, giving more precisely 0JF(y)βaF(y)F(a+) and hence JF(y)F(y)F(a). Therefore the increment inequality holds for every ax<yb, and CF(y)CF(x)=F(y)F(x)(JF(y)JF(x))0. Thus CF is nondecreasing, proving claim 1.

step 1.2algebra
3.1

By Froda's theorem: the set of discontinuities of a monotone function on an interval is at most countable, the injection into N being built from one fixed enumeration of the rationals by least index, so no choice principle is used, the discontinuity set of F in (a,b) is at most countable; index it without repetitions as (sn)nA for some AN. At points outside that set both interior one-sided jump sizes vanish. The only remaining possible contribution in the defining supremum is the left jump at b, which occurs exactly when x=b. Thus The jump function of a nondecreasing function on a compact interval agrees with the nonnegative series JF(x)=βa+nA, snx(F(sn)F(sn))+nA, sn<x(F(sn+)F(sn))+1{b}(x)(F(b)F(b))(x>a). This is claim 2.

step 2.1
4.1

Fix c(a,b). Step 3.1 shows that JF(c)JF(c)=F(c)F(c),JF(c+)JF(c)=F(c+)F(c). Therefore CF(c)CF(c)=0,CF(c+)CF(c)=0. Since CF is nondecreasing, One-sided limits of a monotone function always exist: for f nondecreasing on an interval I and cI, limxcf(x)=sup{f(x):xI, x<c} whenever I has points below c, limxc+f(x)=inf{f(x):xI, x>c} whenever it has points above c, and these satisfy limxcf(x)f(c)limxc+f(x) gives the one-sided limits at c, and the displayed equalities force CF(c)=CF(c)=CF(c+). Hence CF is continuous at every interior point. Moreover, the displayed equalities show that JF has exactly the same left and right jumps as F. This proves claim 4 except for the tautological identity F=JF+CF.

step 2.1step 3.1
4.2

To treat the endpoints, note first that step 2.1 with x=a gives 0JF(x)βaF(x)limta+F(t) for every x>a. Because the right-hand side tends to 0 as xa, JF(x)βa. Hence CF(x)=F(x)JF(x)limxa+F(x)βa=F(a)=CF(a), so CF is right-continuous at a. At b, the endpoint term in step 3.1 gives JF(b)JF(b)=F(b)F(b), and therefore CF(b)=CF(b). Thus CF is continuous on all of [a,b]. This proves claim 3.

step 2.1step 3.1
5.1

Claim 4 contains the identity F=JF+CF by definition of CF. For claim 5, step 3.1 expresses JF(x) pointwise in terms of βa, the interior left and right jump sizes of F, and the left jump at b, so those data determine JF uniquely. Once JF is fixed, the remainder is forced by CF=FJF.

step 3.1step 4.2
6.1

Steps 1.1 through 5.1 prove the theorem.

step 1.1step 1.2step 2.1step 3.1step 4.1step 4.2step 5.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

The Vitali covering theorem for fine covers on the real line

Statement

Assume dependent choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain).

Let ER with λ(E)<, and let V be a fine cover of E by closed nondegenerate intervals (Vitali covers and fine covers on the real line by closed intervals, Lebesgue outer measure on Rn). Then there is a countable pairwise disjoint subfamily (In)n1 of V such that

λ ⁣(En1In)=0.

Moreover, for every ε>0 there is a finite pairwise disjoint subfamily I1,,IN from V such that

λ ⁣(En=1NIn)<ε.

Facts & Assumptions

Given: Dependent choice, the set ER with λ(E)<, and a fine interval cover V of E.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Choose an open set UE with finite length and λ(U)<λ(E)+1. Because V is fine, every xE lies in arbitrarily short intervals of V, so after shrinking we may restrict to the subfamily VU:={IV:IU}, which is still a fine cover of E. Using dependent choice, choose a sequence (In)n1 in VU{} as follows: as long as there exists an interval of VU disjoint from the previously chosen nonempty intervals, choose In disjoint from those earlier nonempty intervals and with length at least half the supremum of the lengths of all such candidates; once no disjoint candidate remains, set In= and all later terms equal to .

givenchoose
2.1

Let M:={n1:In}. The nonempty intervals (In)nM are pairwise disjoint and lie in the finite-open set U, so nMInλ(U)<. If M is finite, write M={1,,N} and let R:=En=1NIn. If xR, then the finite union n=1NIn is closed and does not contain x, so d:=dist(x,n=1NIn)>0. Because VU is a fine cover of E, choose JVU with xJ and J<d. Then J is disjoint from I1,,IN, contradicting the terminal clause in step 1.1. Therefore R=. In this finite-termination case the theorem already holds with the finite family I1,,IN, and the finite ε-version is immediate as well.

step 1.1algebra
2.2

It remains to treat the case where M is infinite. Then no In is empty, because empties persist forever after the first one, so n1In< and therefore In0. Let R:=En1In. Fix xR and m1. Since x does not lie in the finite union I1Im1, the distance dm:=dist ⁣(x,n=1m1In) is positive. Also sm:=supnmIn>0, because there are infinitely many nonempty intervals in the tail. Choose JVU with xJ,J<min(dm,sm). Then J is disjoint from I1,,Im1. If J were disjoint from every In with nm, then J would remain a candidate at every later stage. The half-maximal choice would then give J2In for every nm, contradicting In0. So J meets some In with nm; let n be the least such index. Then J is disjoint from I1,,In1, so it is an admissible candidate at stage n, and the half-maximal choice gives J2In. Intersecting intervals with comparable lengths satisfy J5In. Therefore xnm5In. Since m was arbitrary, Rm1nm5In.

step 1.1algebra
3.1

By countable subadditivity of outer measure and the interval formula for Lebesgue outer measure, λ(R)infm1λ ⁣(nm5In)infm15nmIn=0. This proves the countable disjoint conclusion in the infinite case. For the finite version, choose N so large that 5n>NIn<ε and repeat the same estimate with RN:=En=1NIn.

step 2.2algebra
4.1

Steps 1.1 through 4.1 prove both forms of the theorem.

step 1.1step 2.1step 2.2step 3.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

A set is null exactly when every fine cover has arbitrarily cheap countable subfamilies covering it up to a null remainder

Statement

Assume the Axiom of Dependent Choice (The axiom of dependent choice: a relation in which every element is related to something admits an N-indexed chain), and hence the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

For a set ER, the following are equivalent:

  1. E has Lebesgue measure zero;
  2. for every fine cover V of E by closed intervals and every ε>0, there is a countable subfamily (In) of V with λ ⁣(En1In)=0andn1In<ε.

Facts & Assumptions

Given: Dependent Choice (and therefore Countable Choice), the set ER, and a fine cover V of E.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Assume first that E is null, and let ε>0. Choose an open set UE with λ(U)<ε. Restrict V to intervals lying in U; the restricted family is still a fine cover of E. Applying The Vitali covering theorem for fine covers on the real line gives a countable disjoint subfamily (Jn) of V with λ ⁣(EnJn)=0. Because the Jn lie in U and are disjoint, n1Jnλ(U)<ε. Thus (Jn) is the required cheap countable subfamily.

givenchoose
1.2

Conversely, assume condition 2. Apply it to the fine cover consisting of all closed intervals with ε=1/(2m) for each m1. Then there is a countable family (Im,n)n1 of closed intervals such that λ ⁣(En1Im,n)=0andn1Im,n<12m. Let Nm:=En1Im,n. Since Nm is null, cover Nm by closed intervals (Km,j)j1 of total length <1/(2m). Then the combined family (Im,n)n1(Km,j)j1 covers E and has total length <1/m. Hence E has elementary measure zero by Measure zero (a countable cover by intervals of total length below every ε) and content zero (a finite such cover). Equivalently, E is Lebesgue null by A subset of R has Lebesgue outer measure zero if and only if it has measure zero in the sense of countable closed-interval covers.

givenchoose
2.1

Steps 1.1 and 1.2 prove the equivalence.

step 1.1step 1.2
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

A monotone function is differentiable almost everywhere by the Lebesgue-Stieltjes route

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Let F:[a,b]R be monotone. Then F is differentiable at Lebesgue-almost every point of (a,b).

Facts & Assumptions

Given: Countable choice and a monotone function F:[a,b]R.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Replacing F by F if necessary, we may assume that F is nondecreasing. By A nondecreasing function splits uniquely into a jump part and a continuous part, write F=JF+CF where JF is the jump part and CF is continuous and nondecreasing. By A jump function has derivative zero almost everywhere, JF=0 almost everywhere.

given
2.1

Let μ be the Lebesgue-Stieltjes measure of CF. Since CF is continuous, Interval formulas and atoms for a Lebesgue-Stieltjes measure shows that μ has no atoms. The differentiation theorem for measures Differentiation of sigma-finite Borel measures finite on compact sets applied to the shrinking interval families (xh,x] and (x,x+h] therefore gives a full-measure set on which the left and right interval ratios of μ both converge to the same finite density. By the interval formulas for Lebesgue-Stieltjes measures, those interval ratios are exactly the left and right difference quotients of CF. Hence all four Dini derivatives of CF agree finitely almost everywhere, and The four Dini derivatives always exist in the extended reals, satisfy the one-sided order inequalities, and detect finite differentiability implies that CF exists almost everywhere.

step 1.1
3.1

On the common full-measure set where JF and CF exist, one has F=JF+CF=CF. Therefore F exists almost everywhere on (a,b). Using A subset of R has Lebesgue outer measure zero if and only if it has measure zero in the sense of countable closed-interval covers, this is exactly the claimed almost-everywhere differentiability statement.

step 1.1step 2.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

For a nondecreasing function, the derivative is measurable and integrable and its integral is bounded by the total increase

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Let F:[a,b]R be nondecreasing. Then the derivative F exists almost everywhere, is measurable, is Lebesgue integrable on [a,b], and satisfies

abF(x)dλ(x)F(b)F(a).

Facts & Assumptions

Given: Countable choice and a nondecreasing function F:[a,b]R.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

By A monotone function is differentiable almost everywhere by the rising-sun route, F exists almost everywhere on (a,b). Extend F to [a,b+1] by setting F~(x)=F(x) for xb and F~(x)=F(b) for xb. For each n1 define hn(x):=n(F~(x+1/n)F~(x)) for x[a,b]. Because monotone functions are Borel measurable (Every monotone real function is Borel measurable) and arithmetic preserves measurability (Arithmetic and lattice operations preserve measurability whenever they are defined), each hn is measurable and nonnegative. At every point where F exists, hn(x)F(x).

givenconstruct
2.1

For every n, abhn(x)dλ(x)=nabF~(x+1/n)dλ(x)nabF~(x)dλ(x). After the change of variable t=x+1/n in the first integral, this becomes abhn=nbb+1/nF~(t)dtnaa+1/nF(t)dtF(b)F(a), because F~(t)F(b) on [b,b+1/n] and F(t)F(a) on [a,a+1/n].

step 1.1algebra
3.1

Fatou's lemma Fatou's lemma gives abF(x)dλ(x)ablim infnhn(x)dλ(x)lim infnabhn(x)dλ(x)F(b)F(a). Thus F is integrable and obeys the claimed bound. Since it is almost everywhere the pointwise limit of the measurable functions hn, it is measurable as well, after changing it on the null exceptional set if needed and using Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree.

step 1.1step 2.1
4.1

Steps 1.1 through 3.1 prove the theorem.

step 1.1step 2.1step 3.1
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

A singular function on a compact interval

Definition

Remarks

  • This is the function-level form of a singular continuous measure: the increase is carried by a null set.
  • The Cantor function is the canonical example, and later examples build other singular functions from it.
TheoremStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

A jump function has derivative zero almost everywhere

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Let F:[a,b]R be nondecreasing, and let JF be its jump function. Then JF is differentiable almost everywhere on (a,b) and

JF(x)=0

for almost every x(a,b).

Facts & Assumptions

Given: Countable choice, a nondecreasing function F:[a,b]R, and its jump function JF.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

By Froda's theorem: the set of discontinuities of a monotone function on an interval is at most countable, the injection into N being built from one fixed enumeration of the rationals by least index, so no choice principle is used, the discontinuity set of F in (a,b) is at most countable; enumerate it as (sn)n1. Define two discrete finite measures on [a,b] by μL:=n1(F(sn)F(sn))δsn,μR:=βaδa+n1(F(sn+)F(sn))δsn, and put μ:=μL+μR. The masses are nonnegative, and for every x>a the definition of The jump function of a nondecreasing function on a compact interval gives JF(x)=μL((a,x])+μR([a,x)). Because μ is concentrated on the countable set {a,s1,s2,}, it is singular with respect to Lebesgue measure.

givenconstruct
2.1

Fix x(a,b) and h>0 small. From the representation in step 1.1 one gets 0JF(x+h)JF(x)μ([x,x+h]),0JF(x)JF(xh)μ([xh,x]). Apply Differentiation of sigma-finite Borel measures finite on compact sets to μ and the interval families [x,x+h] and [xh,x]. Since the absolutely continuous part of μ is zero, the two interval ratios μ([x,x+h])/h and μ([xh,x])/h tend to 0 for almost every x. Therefore the right and left difference quotients of JF both tend to 0 for almost every x(a,b).

step 1.1
3.1

At every point where both one-sided difference quotients tend to 0, the two-sided derivative exists and equals 0. Hence JF exists and is 0 almost everywhere on (a,b).

step 2.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

A monotone function is differentiable almost everywhere by the rising-sun route

Statement

Assume the Axiom of Countable Choice (The Axiom of Countable Choice (ACω)).

Let F:[a,b]R be monotone. Then F is differentiable at Lebesgue-almost every point of (a,b).

Facts & Assumptions

Given: Countable choice and a monotone function F:[a,b]R.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Replacing F by F if necessary, we may assume that F is nondecreasing. By A nondecreasing function splits uniquely into a jump part and a continuous part, write F=JF+CF with CF continuous and nondecreasing. The continuous theorem A continuous monotone function is differentiable almost everywhere by the rising-sun route gives differentiability of CF almost everywhere, while A jump function has derivative zero almost everywhere gives JF=0 almost everywhere.

given
2.1

On the common full-measure set where both derivatives exist, F=CF+JF=CF. Therefore F exists almost everywhere.

step 1.1
3.1

Steps 1.1 and 2.1 prove the theorem.

step 1.1step 2.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passaudited 2026-09-05Open item page →

A right-continuous nondecreasing function splits uniquely as absolutely continuous plus jump plus singular continuous

Statement

Assume the Axiom of Countable Choice.

Let F:[a,b]R be nondecreasing and right-continuous. Then there exist unique nondecreasing functions A,J,S:[a,b]R such that:

  1. F=A+J+S;
  2. A is absolutely continuous;
  3. J is the jump function of F;
  4. S is continuous;
  5. S(a)=0;
  6. either S is constant or S is a singular function.

Facts & Assumptions

Given: Countable choice and a right-continuous nondecreasing function F:[a,b]R.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Let μF be the Lebesgue-Stieltjes measure of F. By Every finite Borel measure on R has a unique absolutely continuous, discrete, and singular-continuous decomposition, μF=fλ+μd+μs with fL1([a,b]) chosen nonnegative almost everywhere, μd discrete, and μs singular and atomless. Let A(x):=F(a)+[a,x]fdλ, let J be the distribution function of μd normalized by J(a)=0, and let S be the distribution function of μs normalized by S(a)=0. By the Lebesgue-Stieltjes correspondence Assuming countable choice, finite-on-compacts Borel measures on R correspond to nondecreasing right-continuous functions modulo constants, the measure of A+J+S is exactly μF, and at x=a the three functions satisfy A(a)+J(a)+S(a)=F(a). Hence F=A+J+S.

givenconstruct
2.1

The integral form of AF(a) is absolutely continuous by Absolute continuity of the integral, so A is absolutely continuous as well, and because f0 almost everywhere the function A is increasing. Also The indefinite integral of an L1 function is differentiable almost everywhere gives A=f almost everywhere. The discrete measure μd is carried by its atoms, so the corresponding distribution function is exactly the jump function of F by Interval formulas and atoms for a Lebesgue-Stieltjes measure. The atomless singular measure μs has a continuous distribution function S, again by the interval formulas.

step 1.1
2.2

Uniqueness follows from the uniqueness of the measure decomposition of μF and the uniqueness part of the Lebesgue-Stieltjes correspondence: the absolutely continuous, discrete, and singular-continuous parts of the measure are unique, so the three normalized distribution functions are unique as well.

step 1.1
3.1

Apply Differentiation of sigma-finite Borel measures finite on compact sets to μs. Its absolutely continuous part is zero, so the differentiation density is 0 almost everywhere. The interval formulas therefore give S=0 almost everywhere. If S is nonconstant, then it is continuous, nondecreasing, and has derivative 0 almost everywhere, so S is a singular function by A singular function on a compact interval.

step 2.1
4.1

Steps 1.1 through 3.1 prove the theorem.

step 1.1step 2.1step 2.2step 3.1
TheoremStatement: Literature-sourcedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

Every function of bounded variation is differentiable almost everywhere

Statement

Assume the Axiom of Countable Choice.

Every real-valued function of bounded variation on a compact interval is differentiable almost everywhere.

Facts & Assumptions

Given: Countable choice and a bounded-variation function f:[a,b]R.

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

By Jordan decomposition for functions of bounded variation, write f=GH with G and H increasing. The monotone differentiability theorem A monotone function is differentiable almost everywhere by the rising-sun route shows that both G and H exist almost everywhere.

given
2.1

On the common full-measure set where both derivatives exist, f=GH exists as well. Therefore f is differentiable almost everywhere.

step 1.1
3.1

Steps 1.1 and 2.1 prove the theorem.

step 1.1step 2.1
TheoremStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

Fubini's theorem on term-by-term differentiation for pointwise sums of nondecreasing functions

Statement

Assume the Axiom of Countable Choice.

Let (Fn)n1 be a sequence (Sequences of reals: bounded, eventually, frequently, tails, subsequences) of nondecreasing functions on [a,b], and suppose that the pointwise sum

F(x):=n1Fn(x)

converges to a finite real number for every x[a,b]. Then F is nondecreasing, and for almost every x(a,b),

F(x)=n1Fn(x).

Facts & Assumptions

Given: Countable choice and a pointwise convergent series of nondecreasing functions F=n1Fn on [a,b].

[A1]

The symbols are those of the statement.

Proof

technique · direct
1.1

Every partial sum GN:=n=1NFn and every tail HN:=n>NFn=FGN is nondecreasing. By A monotone function is differentiable almost everywhere by the rising-sun route, the derivatives of F, all Fn, all GN, and all HN exist on a common full-measure set. On that set, GN=n=1NFn and HN=FGN.

given
2.1

Fix N. Since HN is increasing, the derivative bound theorem For a nondecreasing function, the derivative is measurable and integrable and its integral is bounded by the total increase gives 0ab(Fn=1NFn)dλ=abHN(x)dλ(x)HN(b)HN(a). But HN(b)HN(a)0 because the series defining F(a) and F(b) both converge.

step 1.1
3.1

The nonnegative functions Fn=1NFn decrease pointwise almost everywhere to Fn1Fn. Step 2.1 therefore forces ab(Fn1Fn)dλ=0. Since the integrand is nonnegative, it vanishes almost everywhere. Thus F=n1Fn almost everywhere.

step 2.1
4.1

Steps 1.1 through 3.1 prove the theorem.

step 1.1step 2.1step 3.1
RemarkRemark: AI-adaptedProof: Not applicablejudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

Royden's classical Vitali-covering proof is a third route and is not run on this page

Remark

There is a third classical proof that monotone functions are differentiable almost everywhere. One first proves measurability of the Dini derivative level sets, then applies the Vitali covering theorem to the sets where the upper and lower derived numbers disagree.

This page does not run that route. The rising-sun proof and the Lebesgue-Stieltjes proof already expose the mathematical comparison the design wanted:

  • the rising-sun route reaches the theorem without the Vitali covering theorem;
  • the measure route factors the result through differentiation of measures and the Stieltjes correspondence;
  • the Vitali route is historically important, but it duplicates the almost-everywhere differentiability conclusion without adding a later dependency that this page needs.

5 · Examples, counterexamples and false statements

False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

FALSE: every continuous function is differentiable almost everywhere

Statement

Every continuous real function on a compact interval is differentiable almost everywhere.

Facts & Assumptions

Given: The statement above.

[A1]

We refute it by a published counterexample.

Refutation

technique · direct
1.1

The published theorem The Takagi series converges uniformly to a continuous nowhere differentiable function gives a continuous function on [0,1] whose finite derivative exists at no point.

given
2.1

In particular that function is not differentiable almost everywhere, so the statement is false.

step 1.1
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-09-05Open item page →

FALSE: every increasing function satisfies Newton-Leibniz with its derivative

Statement

For every increasing F:[a,b]R,

abF(x)dλ(x)=F(b)F(a).

Facts & Assumptions

Given: The statement above.

[A1]

We refute it with a strictly increasing singular function on [0,1].

Refutation

technique · direct
1.1

Enumerate all closed rational intervals In=[un,vn] with 0un<vn1. Let c:[0,1]R be the Cantor function of The Cantor function is well defined, satisfies c(x)c(y) whenever xy, is surjective onto [0,1], and is constant on every interval removed from the Cantor set. For each n, let cn be the function that is 0 on [0,un], is 1 on [vn,1], and on [un,vn] is the affine rescaling of c. Then each cn is continuous, nondecreasing, and takes values in [0,1]. [given, choose] S(x):=n12n1cn(x). The series converges uniformly because each summand is bounded by 2n1, so S is continuous and nondecreasing.

givenchoose
2.1

If x<y, choose a rational interval In with x<un<vn<y. Then cn(x)=0 and cn(y)=1, so S(y)S(x)2n1>0. Hence S is strictly increasing. For each n, the derivative of cn is 0 almost everywhere because off the scaled Cantor set inside In the function is locally constant by The Cantor function is well defined, satisfies c(x)c(y) whenever xy, is surjective onto [0,1], and is constant on every interval removed from the Cantor set, and that scaled Cantor set is null because the Cantor set is null by The Cantor set is compact, perfect, uncountable, nowhere dense and of measure zero, and it contains no interval of positive length, so its only nonempty connected subsets are single points. Since each cn is nondecreasing, Fubini's theorem on term-by-term differentiation for pointwise sums of nondecreasing functions applies and gives S(x)=n12n1cn(x)=0 almost everywhere. Together with step 1.1, A singular function on a compact interval shows that S is a singular function.

step 1.1
3.1

Therefore 01S(x)dλ(x)=0 by Two integrable functions are equal almost everywhere exactly when all of their indefinite integrals agree, while strict increase gives S(1)S(0)>0. Hence Newton-Leibniz fails for this increasing function, and the statement is false.

step 2.1
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

FALSE: the Vitali covering theorem holds for arbitrary covers

Statement

Every interval cover of a set of finite outer measure has a countable disjoint subfamily that covers the set up to a null remainder.

Facts & Assumptions

Given: The statement above.

[A1]

We use a cover that is not fine.

Refutation

technique · direct
1.1

Consider the cover of [0,1] by all intervals [0,t] and [t,1] with 0<t<1. It covers every point of [0,1], but it is not fine: for an interior point x, every interval in the cover that contains x has length at least min{x,1x}.

given
2.1

Any two left intervals intersect, and any two right intervals intersect, so a disjoint subfamily contains at most one interval of each type. If it contains only one interval, it obviously misses points of [0,1]. If it contains one left interval [0,s] and one right interval [t,1], disjointness forces s<t, so the open gap (s,t) is uncovered. Thus no disjoint subfamily covers [0,1] up to a null remainder, and the statement is false.

step 1.1
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

FALSE: derivative zero almost everywhere implies constancy

Statement

If a real function on a compact interval has derivative 0 almost everywhere, then it is constant.

Facts & Assumptions

Given: The statement above.

[A1]

We use the Cantor function.

Refutation

technique · direct
2.1

The same theorem gives c(0)=0 and c(1)=1, so c is not constant. Therefore the statement is false.

step 1.1
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passaudited 2026-09-05Open item page →

FALSE: every function of bounded variation is absolutely continuous

Statement

Every function of bounded variation on a compact interval is absolutely continuous.

Facts & Assumptions

Given: The statement above.

[A1]

We refute it with the Cantor function.

Refutation

technique · direct
1.1

The Cantor function c is nondecreasing by The Cantor function is well defined, satisfies c(x)c(y) whenever xy, is surjective onto [0,1], and is constant on every interval removed from the Cantor set, so for every partition 0=x0<<xm=1 the variation sum telescopes to j=1mc(xj)c(xj1)=j=1m(c(xj)c(xj1))=c(1)c(0)=1. Hence c has bounded variation.

givenalgebra
2.1

Iterating the two affine branches in The Cantor middle-thirds set as the intersection of the sets Cn obtained by removing open middle thirds, the stage-n set consists of 2n pairwise disjoint closed intervals indexed by the n-digit words in {0,2}n, each of length 3n. Their total length is therefore (2/3)n, which tends to 0 by For r<1 the sequence rk is null, and for r>1 the sequence rk diverges to +. For the interval indexed by a word w, its endpoints have ternary digits w followed respectively by all 0's and all 2's (The Cantor set is exactly the set of k1ak3k with every ak{0,2}, and this gives a bijection with {0,1}N). The identity c=γ on the Cantor set from claim 1 of The Cantor function is well defined, satisfies c(x)c(y) whenever xy, is surjective onto [0,1], and is constant on every interval removed from the Cantor set, together with the binary-digit formula in The Cantor function on [0,1], defined on the Cantor set through ternary digits and extended constantly across each removed interval, therefore gives endpoint increment kn2k1=2n. Thus the sum of the endpoint increments over the stage-n intervals is always 2n2n=1. The total input length can be arbitrarily small while this increment sum stays 1, so c fails the defining ε-δ condition of Absolute continuity on a compact interval. Hence c is not absolutely continuous and the statement is false.

step 1.1algebra
False statementConstruction: Literature-sourcedVerification: AI-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-05Open item page →

FALSE: a monotone function has at most countably many points of non-differentiability

Statement

A monotone real function has at most countably many points where the finite derivative fails to exist.

Facts & Assumptions

Given: The statement above.

[A1]

We use the Cantor function.

Refutation

technique · direct
1.1

Let c be the Cantor function and fix x in the Cantor set. As in the Cantor-function example, let unxvn be the stage-n Cantor interval determined by the first n ternary digits of x. Then vnun=3n and c(vn)c(un)=2n by The Cantor set is exactly the set of k1ak3k with every ak{0,2}, and this gives a bijection with {0,1}N and The Cantor function is well defined, satisfies c(x)c(y) whenever xy, is surjective onto [0,1], and is constant on every interval removed from the Cantor set. At least one of the two numerator differences c(vn)c(x) and c(x)c(un) is at least 2n1. For that choice the corresponding denominator is positive and at most 3n, so one of the two secant slopes is at least 12(3/2)n. Hence c has no finite derivative at x. Since the Cantor set is uncountable by The Cantor set is an uncountable subset of R of Lebesgue measure zero, the nondifferentiability set of c is uncountable.

givenalgebra
2.1

Therefore a monotone function can have uncountably many nondifferentiability points, so the statement is false.

step 1.1

Sources