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Darboux's theorem (analysis)

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 a...

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

Statement of the theorem

Let I{\displaystyle I} be an open interval, and let f:IR{\displaystyle f\colon I\to \mathbb {R} } be a real-valued differentiable function. Then f{\displaystyle f'} has the intermediate value property: If a{\displaystyle a} and b{\displaystyle b} are points in I{\displaystyle I} with a<b{\displaystyle a<b}, then for every y{\displaystyle y} between f(a){\displaystyle f'(a)} and f(b){\displaystyle f'(b)}, there exists an x{\displaystyle x} in [a,b]{\displaystyle [a,b]} such that f(x)=y{\displaystyle 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{\displaystyle y} equals f(a){\displaystyle f'(a)} or f(b){\displaystyle f'(b)}, then setting x{\displaystyle x} equal to a{\displaystyle a} or b{\displaystyle b}, respectively, gives the desired result. Now assume that y{\displaystyle y} is strictly between f(a){\displaystyle f'(a)} and f(b){\displaystyle f'(b)}, and in particular that f(a)>y>f(b){\displaystyle f'(a)>y>f'(b)}. Let φ:IR{\displaystyle \varphi \colon I\to \mathbb {R} } such that φ(t)=f(t)yt{\displaystyle \varphi (t)=f(t)-yt}. If it is the case that f(a)<y<f(b){\displaystyle f'(a)<y<f'(b)} we adjust our below proof, instead asserting that φ{\displaystyle \varphi } has its minimum on [a,b]{\displaystyle [a,b]}.

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

Because φ(a)=f(a)y>0{\displaystyle \varphi '(a)=f'(a)-y>0}, we know φ{\displaystyle \varphi } cannot attain its maximum value at a{\displaystyle a}. (If it did, then (φ(t)φ(a))/(ta)0{\displaystyle (\varphi (t)-\varphi (a))/(t-a)\leq 0} for all t(a,b]{\displaystyle t\in (a,b]}, which implies φ(a)0{\displaystyle \varphi '(a)\leq 0}.)

Likewise, because φ(b)=f(b)y<0{\displaystyle \varphi '(b)=f'(b)-y<0}, we know φ{\displaystyle \varphi } cannot attain its maximum value at b{\displaystyle b}.

Therefore, φ{\displaystyle \varphi } must attain its maximum value at some point x(a,b){\displaystyle x\in (a,b)}. Hence, by Fermat's theorem, φ(x)=0{\displaystyle \varphi '(x)=0}, i.e. f(x)=y{\displaystyle 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){\displaystyle c={\frac {1}{2}}(a+b)}. For atc,{\displaystyle a\leq t\leq c,} define α(t)=a{\displaystyle \alpha (t)=a} and β(t)=2ta{\displaystyle \beta (t)=2t-a}. And for ctb,{\displaystyle c\leq t\leq b,} define α(t)=2tb{\displaystyle \alpha (t)=2t-b} and β(t)=b{\displaystyle \beta (t)=b}.

Thus, for t(a,b){\displaystyle t\in (a,b)} we have aα(t)<β(t)b{\displaystyle a\leq \alpha (t)<\beta (t)\leq b}. Now, define g(t)=(fβ)(t)(fα)(t)β(t)α(t){\displaystyle g(t)={\frac {(f\circ \beta )(t)-(f\circ \alpha )(t)}{\beta (t)-\alpha (t)}}} with a<t<b{\displaystyle a<t<b}. g{\displaystyle \,g} is continuous in (a,b){\displaystyle (a,b)}.

Furthermore, g(t)f(a){\displaystyle g(t)\rightarrow {f}'(a)} when ta{\displaystyle t\rightarrow a} and g(t)f(b){\displaystyle g(t)\rightarrow {f}'(b)} when tb{\displaystyle t\rightarrow b}; therefore, from the Intermediate Value Theorem, if y(f(a),f(b)){\displaystyle y\in ({f}'(a),{f}'(b))} then, there exists t0(a,b){\displaystyle t_{0}\in (a,b)} such that g(t0)=y{\displaystyle g(t_{0})=y}. Let's fix t0{\displaystyle t_{0}}.

From the Mean Value Theorem, there exists a point x(α(t0),β(t0)){\displaystyle x\in (\alpha (t_{0}),\beta (t_{0}))} such that f(x)=g(t0){\displaystyle {f}'(x)=g(t_{0})}. Hence, f(x)=y{\displaystyle {f}'(x)=y}.

Darboux function

A Darboux function is a real-valued functionf{\displaystyle f} which has the "intermediate value property": for any two values a{\displaystyle a} and b{\displaystyle b} in the domain of f{\displaystyle f}, and any y{\displaystyle y} between f(a){\displaystyle f(a)} and f(b){\displaystyle f(b)}, there is some c{\displaystyle c} between a{\displaystyle a} and b{\displaystyle b} with y=f(c){\displaystyle y=f(c)}.[5] By the intermediate value theorem, every continuous function on a realinterval 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.{\displaystyle x\mapsto {\begin{cases}\sin(1/x)&{\text{for }}x\neq 0,\\0&{\text{for }}x=0.\end{cases}}}

By Darboux's theorem, the derivative of any differentiable function is a Darboux function. In particular, the derivative of the function xx2sin(1/x){\displaystyle x\mapsto x^{2}\sin(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)iZ+{\displaystyle (x_{i})_{i\in \mathbb {Z} _{+}}} each 0 or 1, and f(x)=k=1(1)xkk{\displaystyle f(x)=\sum \limits _{k=1}^{\infty }{\frac {(-1)^{x_{k}}}{k}}} 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 meagreFσ{\displaystyle F_{\sigma }} set. Conversely, every meagre Fσ{\displaystyle F_{\sigma }} 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{\displaystyle f}, its associated superlevel and sublevel sets are {x:f(x)>a}{\displaystyle \{x:f(x)>a\}} and {x:f(x)<a}{\displaystyle \{x:f(x)<a\}}, where a{\displaystyle a} is real. Zahorski introduced classes M0,,M5{\displaystyle M_{0},\ldots ,M_{5}} 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{\displaystyle M_{3}}.
  • Every bounded derivative has associated sets in M4{\displaystyle M_{4}}. Moreover, a set is an associated set of some bounded derivative if and only if it belongs to M4{\displaystyle M_{4}}.[9]

Intuitively, if f=F{\displaystyle f=F'} and f(x0)>a{\displaystyle f(x_{0})>a}, then the set on which f>a{\displaystyle f>a} cannot be arbitrarily sparse near x0{\displaystyle x_{0}}. If f{\displaystyle f} is continuous at x0{\displaystyle x_{0}}, this is trivial: f>a{\displaystyle f>a} throughout some neighbourhood of x0{\displaystyle x_{0}}, so the local density is 1{\displaystyle 1}. The Zahorski conditions express weaker density requirements that remain valid even when the derivative is discontinuous.

More explicitly, a non-empty Fσ{\displaystyle F_{\sigma }} set E{\displaystyle E} belongs to M3{\displaystyle M_{3}} if, for every xE{\displaystyle x\in E}, any sequence of closed intervals In{\displaystyle I_{n}} not containing x{\displaystyle x}, with dist(x,In)0{\displaystyle \operatorname {dist} (x,I_{n})\to 0} and λ(InE)=0{\displaystyle \lambda (I_{n}\cap E)=0}, satisfies

λ(In)dist(x,In)0,{\displaystyle {\frac {\lambda (I_{n})}{\operatorname {dist} (x,I_{n})}}\to 0,}

where λ{\displaystyle \lambda } denotes Lebesgue measure. Thus, near a point of E{\displaystyle E}, gaps in E{\displaystyle E} cannot have length comparable to their distance from the point. The class M4{\displaystyle M_{4}} is stronger: E{\displaystyle E} belongs to M4{\displaystyle M_{4}} if it can be written as a countable union of closed sets E=Kn{\displaystyle E=\bigcup K_{n}} such that, on each Kn{\displaystyle K_{n}}, the set E{\displaystyle 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{\displaystyle M_{3}} rules out large nearby holes, while M4{\displaystyle M_{4}} imposes a uniform positive lower-density condition.

Notes

  1. 12Apostol, Tom M.: Mathematical Analysis: A Modern Approach to Advanced Calculus, 2nd edition, Addison-Wesley Longman, Inc. (1974), page 112.
  2. 12Olsen, 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. Darboux, Gaston (1875), "Mémoire sur les fonctions discontinues" [Dissertation on discontinuous functions], Annales Scientifiques de l'É.N.S., Serie 2 (in French), 4, Paris: École Normale Supérieure: 109–110, doi:10.24033/asens.122{{citation}}: CS1 maint: date and year (link)
  5. 12Ciesielski, 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. 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. Bruckner, Andrew M.; Leonard, J. L. (1966). "Derivatives". American Mathematical Monthly. 73 (4, Part II): 24–56.
  9. 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.