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 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 has been 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 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))/(ta)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 atc, define α(t)=a and β(t)=2ta. And for ctb, define α(t)=2tb and β(t)=b.

Thus, for t(a,b) we have aα(t)<β(t)b. Now, define g(t)=(fβ)(t)(fα)(t)β(t)α(t) with a<t<b. g is continuous in (a,b).

Furthermore, g(t)f(a) when ta and g(t)f(b) when tb; 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 x0,0for x=0.

By Darboux's theorem, the derivative of any differentiable function is a Darboux function. In particular, the derivative of the function xx2sin(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+ 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 xE, any sequence of closed intervals In not containing x, with dist(x,In)0 and λ(InE)=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. ^ a b Apostol, Tom M.: Mathematical Analysis: A Modern Approach to Advanced Calculus, 2nd edition, Addison-Wesley Longman, Inc. (1974), page 112.
  2. ^ a b 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. ^ Page Module:Citation/CS1/styles.css has no content.Darboux, Gaston (1875), "Mémoire sur les fonctions discontinues" [Dissertation on discontinuous functions], Annales Scientifiques de l'É.N.S., Serie 2 (in français), 4, Paris: École Normale Supérieure: 109–110, doi:10.24033/asens.122{{citation}}: CS1 maint: date and year (link)
  5. ^ a b Page Module:Citation/CS1/styles.css has no content.Ciesielski, Krzysztof (1997). Set theory for the working mathematician. London Mathematical Society Student Texts. Vol. 39. Cambridge: Cambridge University Press. pp. 106–111. ISBN 0-521-59441-3. Zbl 0938.03067.
  6. ^ Page Module:Citation/CS1/styles.css has no content.Bergfeldt, Aksel (2018-09-27). "Open maps which are not continuous". Stack Exchange Mathematics. In an answer to the question. Retrieved 2023-07-10.
  7. ^ Bruckner, Andrew M: Differentiation of real functions, 2 ed, page 6, American Mathematical Society, 1994
  8. ^ Page Module:Citation/CS1/styles.css has no content.Bruckner, Andrew M.; Leonard, J. L. (1966). "Derivatives". American Mathematical Monthly. 73 (4, Part II): 24–56.
  9. ^ Page Module:Citation/CS1/styles.css has no content.Bruckner, Andrew M. (1994). Differentiation of Real Functions. CRM Monograph Series. Vol. 5 (2nd ed.). American Mathematical Society. pp. 61–67. ISBN 0-8218-6990-6.