Darboux's theorem (analysis)

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In real analysis, Darboux's theorem states that the derivative of any real-valued function of a real variable has the intermediate value property, that is, that the image of an interval is also an interval.

When f is continuously differentiable, this is a consequence of the intermediate value theorem. But even when f′ is not continuous, Darboux's theorem places a restriction on the behaviour of f′ over any closed interval.

Statement of the theorem

Let I be an open interval, and let f:I→ℝ be a real-valued differentiable function. Then f′ has the intermediate value property: If a and b are points in I with a<b, then for every y between f′(a) and f′(b), there exists an x in [a,b] such that f′(x)=y.[1][2][3]

The original proof by Jean Gaston Darboux was published in 1875.[4]

Proofs

Proof from the extreme value theorem

The first proof is based on the extreme value theorem.

If y equals f′(a) or f′(b), then setting x equal to a or b, respectively, gives the desired result. Now assume that y is strictly between f′(a) and f′(b), and in particular that f′(a)>y>f′(b). Let φ:I→ℝ such that φ(t)=f(t)−yt. If it is the case that f′(a)<y<f′(b) we adjust our below proof, instead asserting that φ has its minimum on [a,b].

Since φ is continuous on the closed interval [a,b], the maximum value of φ on [a,b] is attained at some point in [a,b], according to the extreme value theorem.

Because φ′(a)=f′(a)−y>0, we know φ cannot attain its maximum value at a. (If it did, then (φ(t)−φ(a))/(t−a)≤0 for all t∈(a,b], which implies φ′(a)≤0.)

Likewise, because φ′(b)=f′(b)−y<0, we know φ cannot attain its maximum value at b.

Therefore, φ must attain its maximum value at some point x∈(a,b). Hence, by Fermat's theorem, φ′(x)=0, i.e. f′(x)=y.

Proof from the mean and intermediate value theorems

The second proof is based on combining the mean value theorem and the intermediate value theorem.[1][2]

Define c=12(a+b). For a≤t≤c, define α(t)=a and β(t)=2t−a. And for c≤t≤b, define α(t)=2t−b and β(t)=b.

Thus, for t∈(a,b) we have a≤α(t)<β(t)≤b. Now, define g(t)=(f∘β)(t)−(f∘α)(t)β(t)−α(t) with a<t<b. g is continuous in (a,b).

Furthermore, g(t)→f′(a) when t→a and g(t)→f′(b) when t→b; therefore, from the Intermediate Value Theorem, if y∈(f′(a),f′(b)) then, there exists t0∈(a,b) such that g(t0)=y. Let's fix t0.

From the Mean Value Theorem, there exists a point x∈(α(t0),β(t0)) such that f'(x)=g(t0). Hence, f'(x)=y.

Darboux function

A Darboux function is a real-valued function f which has the "intermediate value property": for any two values a and b in the domain of f, and any y between f(a) and f(b), there is some c between a and b with y=f(c).[5] By the intermediate value theorem, every continuous function on a real interval is a Darboux function. Darboux's contribution was to show that there are discontinuous Darboux functions.

Every discontinuity of a Darboux function is essential, that is, at any point of discontinuity, at least one of the left hand and right hand limits does not exist.

An example of a Darboux function that is discontinuous at one point is the topologist's sine curve function:

x↦{sin⁡(1/x)for x≠0,0for x=0.

By Darboux's theorem, the derivative of any differentiable function is a Darboux function. In particular, the derivative of the function x↦x2sin⁡(1/x) is a Darboux function even though it is not continuous at one point.

An example of a Darboux function that is nowhere continuous is Conway's base 13 function. Another is Bergfeldt's function where a real number x is written in expanded in binary with digits (xi)i∈ℤ+ each 0 or 1, and f(x)=∑k=1∞(−1)xkk if the series converges for that x and 0 if it does not.[6]

Darboux functions are a quite general class of functions. It turns out that any real-valued function ƒ on the real line can be written as the sum of two Darboux functions.[7] This implies in particular that the class of Darboux functions is not closed under addition.

A strongly Darboux function is one for which the image of every (non-empty) open interval is the whole real line.[5]

Further restrictions on derivatives

Darboux's theorem gives a necessary condition for a function to be a derivative, but it is not sufficient. Every derivative of a real function is also of Baire class one, and the set of points at which a derivative is discontinuous is a meagre Fσ set. Conversely, every meagre Fσ subset of the real line can occur as the discontinuity set of a derivative.[8]

A finer restriction is on the sublevel sets of a derivative. For a real function f, its associated superlevel and sublevel sets are {x:f(x)>a} and {x:f(x)<a}, where a is real. Zahorski introduced classes M0,…,M5 of sets describing how large such associated sets must be near their own points. In this terminology, one has the following theorems:

  • Every finite derivative has associated sets in M3.
  • Every bounded derivative has associated sets in M4. Moreover, a set is an associated set of some bounded derivative if and only if it belongs to M4.[9]

Intuitively, if f=F′ and f(x0)>a, then the set on which f>a cannot be arbitrarily sparse near x0. If f is continuous at x0, this is trivial: f>a throughout some neighbourhood of x0, so the local density is 1. The Zahorski conditions express weaker density requirements that remain valid even when the derivative is discontinuous.

More explicitly, a non-empty Fσ set E belongs to M3 if, for every x∈E, any sequence of closed intervals In not containing x, with dist⁡(x,In)→0 and λ(In∩E)=0, satisfies

λ(In)dist⁡(x,In)→0,

where λ denotes Lebesgue measure. Thus, near a point of E, gaps in E cannot have length comparable to their distance from the point. The class M4 is stronger: E belongs to M4 if it can be written as a countable union of closed sets E=⋃Kn such that, on each Kn, the set E occupies a uniformly positive proportion of every sufficiently small one-sided interval whose length is comparable with its distance from the point. In this sense, M3 rules out large nearby holes, while M4 imposes a uniform positive lower-density condition.

Notes

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  1. ↑ 1.0 1.1 Apostol, Tom M.: Mathematical Analysis: A Modern Approach to Advanced Calculus, 2nd edition, Addison-Wesley Longman, Inc. (1974), page 112.
  2. ↑ 2.0 2.1 Olsen, Lars: A New Proof of Darboux's Theorem, Vol. 111, No. 8 (Oct., 2004) (pp. 713–715), The American Mathematical Monthly
  3. ↑ Rudin, Walter: Principles of Mathematical Analysis, 3rd edition, MacGraw-Hill, Inc. (1976), page 108
  4. ↑ Template:Citation
  5. ↑ 5.0 5.1 Template:Cite book
  6. ↑ Template:Cite web
  7. ↑ Bruckner, Andrew M: Differentiation of real functions, 2 ed, page 6, American Mathematical Society, 1994
  8. ↑ Template:Cite journal
  9. ↑ Template:Cite book