Math’s Most Mind-Blowing Secret: The Function That Defies Derivatives

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### Weierstrass Function

An important application of uniform convergence, and in particular the use of the Weierstrass M-Test, is the following theorem. This theorem states a surprising fact that there exists a continuous function on \(\mathbb{R}\) which is nowhere differentiable. The existence of a continuous function that has no tangent at any point is quite unintuitive. With this property, if you consider the graph of such a function and zoom in at an arbitrary point over and over again, a function will never become smooth or linear. The Weierstrass function is a jagged function known as a fractal curve.

**Theorem 98**.: _There exists a real continuous function on the real line which is nowhere differentiable._

Proof

: For the proof of this theorem we refer the reader to page 154 of [42], where the construction of such a function is explained step by step.

The original Weierstrass function is defined to be

\[f(x)=\sum_{n=0}^{\infty}a^{n}\cos(b^{n}\pi x),\]

where \(01\) is an odd positive integer and \(ab>1+\frac{3}{2}\pi\). There are many other functions that also exhibit this property of being continuousyet nowhere differentiable. Another one of these is \(f(x)=\sum_{n=0}^{\infty}\frac{1}{2^{n}}\sin(2^{n}x)\). This function is also a Fourier series which has other interesting properties. Weierstrass original function not only gives a perspective about the relationship between continuity and differentiability, it also leads to the exploration of new set of functions.

### Exercises

1. Suppose that the sequence \(\{f_{n}\}\) converges uniformly to \(f\) on the set \(D\) and that for each \(n\in\mathbb{N}\), \(f_{n}\) is bounded on \(D\). Prove that \(f\) is bounded on \(D\).
2. Let \(\{f_{n}\}\) be a sequence of functions with domain \(A\). Show that if \(\sum_{k=1}^{\infty}f_{k}\) is uniformly convergent in \(A\), then \(f_{n}\rightrightarrows 0\) on \(A\).
3. Consider the sequence \(\{f_{n}\}\) defined by \(f_{n}(x)=\frac{nx}{1+nx}\), for \(x\geq 0\).

1. Find \(f(x)=\lim_{n\to\infty}f_{n}(x)\).
2. Show that for \(a>0\), \(\{f_{n}\}\) converges uniformly to \(f\) on \([a,\infty)\).
3. Show that \(\{f_{n}\}\) does not converge uniformly to \(f\) on \([0,\infty)\).
4. Determine whether the sequence \(\{f_{n}\}\) converges uniformly on \(D\).

1. \(f_{n}(x)=\frac{1}{1+(nx-1)^{2}}\)\(D=[0,1]\).
2. \(f_{n}(x)=nx^{n}(1-x)\)\(D=[0,1]\).
3. \(f_{n}(x)=\arctan\left(\frac{2x}{x^{2}+n^{3}}\right)\)\(D=\mathbb{R}\).
5. Suppose a sequence of functions \(\{f_{n}\}\) is defined as \[f_{n}(x)=2x+\frac{x}{n}\)\(x\in[0,1]\).

1. Find the limit function \(f=\lim_{n\to\infty}f_{n}\).
2. Is \(f\) continuous on [0,1]?
3. Does \([\lim_{n\to\infty}f_{n}(x)]^{\prime}=\lim_{n\to\infty}f_{n}^{\prime}(x)\) for \(x\in[0,1]\)?
4. Does \(\int_{0}^{1}\lim_{n\to\infty}f_{n}(x)dx=\lim_{n\to\infty}\int_{0}^{1}f_{n}(x)dx\)?6. Discuss the uniform convergence of the following series:

1. \(\sum_{n=0}^{\infty}\frac{x^{n}}{n!}\) on \(\mathbb{R}\)
2. \(\sum_{n=1}^{\infty}\frac{\sin(nx)}{\sqrt{n}}\) on \([0,2\pi]\)
3. \(\sum_{n=1}^{\infty}\frac{\cos^{2}(nx)}{n^{2}}\) on \(\mathbb{R}\)

7. Let \(f_{n}:[0,1]\to\mathbb{R}\) be a sequence of continuous functions such that

\[\int_{0}^{1}\left(f_{n}(x)-f_{m}(x)\right)^{2}\,dx\to 0\quad\text{as }n,m\to\infty.\]

Let \(k(x,y)\) be a continuous real-valued function on \([0,1]\times[0,1]\). Define

\[g_{n}(x)=\int_{0}^{1}k(x,y)f_{n}(y)\,dy.\]

Prove that the sequence \(\{g_{n}\}\) converges uniformly.

Hint: show that the sequence \(\{g_{n}\}\) is a Cauchy sequence in the sup norm of \(C[0,1]\).

8. Show that there exists a continuous function defined on \(\mathbb{R}\) that is nowhere differentiable by proving the following:

1. Let \(g(x)=|x|\) if \(x\in[-1,1]\). Extend \(g\) to be periodic. Sketch \(g\) and the first few terms of the sum \[f(x)=\sum_{n=1}^{\infty}\left(\frac{3}{4}\right)^{n}g(4^{n}x).\]
2. Use the Weierstrass M-test to show that \(f\) is continuous.
3. Prove that \(f\) is not differentiable at any point.

9. Can we differentiate the series

\[x=\sum_{k=1}^{\infty}\left(\frac{x^{k}}{k}-\frac{x^{k+1}}{k+1}\right),\quad 0 \leq x\leq 1\]

term by term?10. Find an example of a sequence \(\{f_{k}\}\) that converges uniformly to \(0\) on \([0,\infty)\), where each \(\int_{0}^{\infty}f_{k}(x)dx\) exists, but \(\int_{0}^{\infty}f_{k}(x)dx\to\infty\). Does this contradict Theorem 94?

11. Use Dirichlet’s test to show that the trigonometric series \(\sum_{n=1}^{\infty}\dfrac{\text{sin}n\theta}{n}\) converges uniformly to \(\dfrac{\pi-\theta}{2}\) on the interval \([\delta,2\pi-\delta]\) for any \(\delta>0\).

12. Let \(f\) be a continuous function on \(\mathbb{R}\). Let

\[\dfrac{1}{n}\sum_{n=0}^{n-1}f\left(x+\dfrac{k}{n}\right).\]

Show that \(\{f_{n}(x)\) converges uniformly to a limit on every finite interval \([a,b]\).

13. Let \(f_{n}\in C[a,b]\) be a monotone increasing sequence \(f_{1}(x)\leq f_{2}(x)\leq\cdots\) which converges pointwise to \(f(x)\in C[a,b]\). Show that the convergence is uniform on \([a,b]\).

### 2.4 Approximation by Polynomials

The Weierstrass approximation theorem is one of the crowning results of classical analysis. It states that every continuous function on a closed and bounded interval can be approximated uniformly by algebraic polynomials, i.e., by functions of the form

\[P(x)=a_{0}+a_{1}x+a_{2}x^{2}+\cdots+a_{n}x^{n}\,eUnALT\]

where \(n\) is a positive integer and the \(a_{k}\)’s are real numbers. This theorem is a prototype for a large collection of results in approximation theory and there are many different proofs of this theorem. We start by introducing the notion of _separability_.

**Definition 78**.: A metric space \(M\) is called _separable_ if it contains a countable dense subset.

As we defined before, we say \(A\subset M\) is _dense_ if \(\overline{A}=M\). Roughly speaking, a subset \(A\) of a metric space \(M\) is dense if the set \(A\) union its accumulation points equals the metric space \(M\). For example, the set \(\mathbb{R}\) of real numbers is separable since the countable set \(\mathbb{Q}\) is dense in \(\mathbb{R}\). This is so, because as proved in the earlier chapter, every real number can always be given as the limit of a sequence of rational numbers, or, equivalently, because there always exists a rational number arbitrarily close to any given irrational number. There are other examples of separable spaces. These all depend on two facts: the set \(\mathbb{Q}\) of rational numbers is countable and the Cartesian product of any finite number of countable sets is again a countable set. Thus \(\mathbb{R}^{n}\) and \(\mathbb{C}^{n}\) are separable spaces. However, for the special form of the Weierstrass approximation theorem, we first need to ask the following questions:

#### Dense Subsets of \(C[a,b]\)

* Is \(C[a,b]\) separable? Are there any “useful” dense subspaces of \(C[a,b]\)?
* What are the compact subsets of \(C[a,b]\)?

As usual by \(C[a,b]\) we mean the space of real-valued continuous functions defined on \([a,b]\). We supply \(C[a,b]\) with the sup norm

\[||f||_{\infty}=\sup_{x\in[a,b]}|f(x)|.\]

We proved that convergence in \(C[a,b]\) is the same as uniform convergence. Specifically,

\[f_{n}\to f\ \ \text{in}\ C[a,b]\ \Leftrightarrow\ ||f_{n}-f||_{\infty}\to 0\ \Leftrightarrow f_{n}\rightrightarrows f\ \text{on}\,[a,b].\]

To answer these questions we first make the observation that \(C\left[a,b\right]\) and \(C\left[0,1\right]\) are in “some sense” identical. Thus we need only concern with a single choice of the interval \([a,b]\), and \([0,1]\) is often the most convenient.

**Lemma 9**.: _There is a linear isometry from \(C\left[0,1\right]\) onto \(C\left[a,b\right]\) that maps polynomials to polynomials._

Proof

: Define \(g:[a,b]\rightarrow[0,1]\) by

\[g\left(x\right)=\frac{x-a}{b-a}\ \ \ \text{for}\ \ a\leq x\leq b;\]

then \(g\) is a homeomorphism. Note that a homeomorphism is a one-to-one, onto map for which both \(g\) and \(g^{-1}\) are continuous. In mathematics, we think of homeomorphic spaces as being essentially identical.

The map

\[T_{g}:C\left[0,1\right]\to C\left[a,b\right]\]

\[T_{g}\left(f\right)=f\circ g\]

defines a linear isometry from \(C\left[0,1\right]\) onto \(C\left[a,b\right].\) We observe the following about \(T_{g}\):

Weierstrass function illustrations

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