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5. Comments on Homework 2, Problem 3

≪ 4. Integration Review | Table of Contents | 6. Differentiating Power Series, Taylor Series ≫

After grading the second homework a few days ago, I noticed that a lot of people had missed the third problem of the homework. I’ll provide a (more or less) full solution here, and I’ll point out the common mistakes made along the way.

Problem 3.

For any function f:[0,1]Rf:\left[ 0,1 \right]\to \mathbb{R}, define the CαC^\alpha -norm of ff to be fα=supx[0,1]f(x)+supx,y[0,1]xyf(x)f(y)xyα.\left\lVert f \right\rVert_ \alpha = \sup _{x\in \left[ 0, 1 \right]} \left\lvert f(x) \right\rvert + \sup _{\substack{x, y\in \left[ 0, 1 \right] \\ x\neq y}} \frac{\left\lvert f(x) - f(y) \right\rvert}{\left\lvert x-y \right\rvert^\alpha }. Define the space of α\alpha -Hölder continuous functions on [0,1]\left[ 0,1 \right], denoted Cα([0,1])C^\alpha \left( \left[ 0,1 \right] \right), to be the set of continuous functions ff such that fα<\left\lVert f \right\rVert _ \alpha < \infty. Define a the metric dα(f,g)=fgαd_ \alpha (f, g) = \left\lVert f-g \right\rVert_ \alpha on Cα([0,1])C^ \alpha \left( \left[ 0,1 \right] \right).

  1. Show that Cα([0,1])C^ \alpha \left( \left[ 0,1 \right] \right) is a complete metric space with respect to dαd_ \alpha .
  2. Show that if {fn}C12([0,1])\left\lbrace f_n \right\rbrace\subseteq C ^{\frac{1}{2}}\left( \left[ 0,1 \right] \right) is a sequence such that fn121\left\lVert f_n \right\rVert _{\frac{1}{2}} \leq 1 for all nn, then there is a subsequence that converges in C13([0,1])C ^{\frac{1}{3}}\left( \left[ 0,1 \right] \right).

For ease of notation, I’ll denote by f:=supx[0,1]f(x)\left\lVert f \right\rVert_\infty := \sup _{x\in \left[ 0,1 \right]} \left\lvert f(x) \right\rvert (the “sup-norm” of ff), and I’ll abbreviate CαC ^ \alpha for Cα([0,1])C ^ \alpha \left( \left[ 0,1 \right] \right).

For the first part of the problem, it’s good to verify that this is indeed a metric; however, I didn’t take points off if you didn’t verify this fact. Ultimately it’s not a critical part of the problem, and the completeness of the metric space is more important.

Let {fn}\left\lbrace f_n \right\rbrace be a Cauchy sequence in CαC ^{\alpha } with respect to dαd_ \alpha . We need to find some fCαf\in C ^{\alpha } such that fnfα0\left\lVert f_n - f \right\rVert_ \alpha \to 0 as nn\to \infty. Thus, we not only need to verify that fα\left\lVert f \right\rVert _ \alpha is finite, but also that the norms converge to zero. This was the most common mistake: half of the submissions omitted this last step.

First, we observe for any gCαg\in C^ \alpha , we have ggα\left\lVert g \right\rVert_\infty \leq \left\lVert g \right\rVert_ \alpha . Thus, by Cauchiness in CαC^ \alpha , for every ϵ>0\epsilon >0 there exists some NϵN_ \epsilon such that n,m>Nϵn, m > N_ \epsilon implies fnfmfnfmα<ϵ.\left\lVert f_n-f_m \right\rVert _ \infty \leq \left\lVert f_n-f_m \right\rVert _ \alpha < \epsilon . In particular, {fn}\left\lbrace f_n \right\rbrace is a uniformly Cauchy sequence of functions on [0,1]\left[ 0,1 \right], and thus they have a uniform limit ff.

Now, we’ll verify that fα<\left\lVert f \right\rVert _ \alpha < \infty. Certainly ff is continuous, so f<\left\lVert f \right\rVert_\infty < \infty ; we need only handle the second term of the CαC^ \alpha norm.

Since {fn}\left\lbrace f_n \right\rbrace are a Cauchy sequence in CαC^ \alpha , they are bounded; in particular, there exists some M0M\geq 0 such that supx,y[0,1]xyfn(x)fn(y)xyαM\sup _{\substack{x,y\in \left[ 0,1 \right] \\ x\neq y}} \frac{\left\lvert f_n(x) - f_n(y) \right\rvert}{\left\lvert x-y \right\rvert^ \alpha }\leq M for all MM. Then, for any xyx\neq y in [0,1]\left[ 0,1 \right], we have that f(x)f(y)xyα=limnfn(x)fn(y)xyαM.\frac{\left\lvert f(x)-f(y) \right\rvert}{\left\lvert x-y \right\rvert^ \alpha } = \lim _{n\to\infty} \frac{\left\lvert f_n(x)-f_n(y) \right\rvert}{\left\lvert x-y \right\rvert^ \alpha }\leq M. Thus, fαf+M\left\lVert f \right\rVert_ \alpha \leq \left\lVert f \right\rVert_ \infty + M, hence fCαf\in C^ \alpha . Note we can freely move the limit inside and outside the absolute values here because absolute values are continuous.

Next, we need to verify that ffnα0\left\lVert f-f_n \right\rVert_ \alpha \to 0 as nn\to\infty. Certainly supx[0,1]f(x)fn(x)0\sup _{x\in \left[ 0,1 \right]} \left\lvert f(x)-f_n(x) \right\rvert\to 0 as nn\to\infty, so we need only show supx,y[0,1]xyf(x)fn(x)f(y)+fn(y)xyα0\sup _{\substack{x,y\in \left[ 0,1 \right] \\ x \neq y}} \frac{f(x)-f_n(x) - f(y) + f_n(y)}{ \left\lvert x-y \right\rvert^ \alpha }\to 0 as nn\to\infty.

By Cauchiness, for any ϵ>0\epsilon > 0, there is some NϵN_ \epsilon such that for all m>n>Nϵm>n>N_ \epsilon , fmfnα<ϵ\left\lVert f_m-f_n \right\rVert_ \alpha < \epsilon . Then, we have for any xyx\neq y in [0,1]\left[ 0,1 \right] that

f(x)fn(x)f(y)+fn(y)xyαf(x)fm(x)f(y)+fm(y)xyα+fm(x)fn(x)fm(y)+fn(y)xyα.\begin{align*} \frac{\left\lvert f(x)-f_n(x) - f(y) + f_n(y) \right\rvert}{\left\lvert x-y \right\rvert^ \alpha } & \\ \leq \frac{\left\lvert f(x)-f_m(x)-f(y) + f_m(y) \right\rvert}{\left\lvert x-y \right\rvert^ \alpha } &+ \frac{\left\lvert f_m(x)-f_n(x)-f_m(y)+f_n(y) \right\rvert}{\left\lvert x-y \right\rvert^ \alpha }. \end{align*}

The second term is bounded by fmfnα<ϵ\left\lVert f_m-f_n \right\rVert_ \alpha < \epsilon when mm is sufficiently large. Moreover, since xx and yy are fixed, we can make the first term as small as we want to, i.e. by finding mm so large that f(x)fm(x)f(y)+fm(y)<ϵxyα\left\lvert f(x)-f_m(x)-f(y)+f_m(y) \right\rvert < \epsilon \left\lvert x-y \right\rvert^ \alpha by uniform convergence. Note here we have the freedom to choose mm as large as we want.

Thus, since xx and yy were arbitrary, we conclude that for all n>Nϵn>N _ \epsilon , supx,y[0,1]xyf(x)fn(x)f(y)+fn(y)xyα<2ϵ.\sup _{\substack{x, y\in \left[ 0,1 \right]\\x\neq y}} \frac{\left\lvert f(x)-f_n(x)-f(y)+f_n(y) \right\rvert}{\left\lvert x-y \right\rvert^ \alpha } < 2 \epsilon. It follows that ffnα0\left\lVert f-f_n \right\rVert_ \alpha \to 0 as nn\to\infty.

We have shown that every Cauchy sequence in CαC^ \alpha converges to a limit with respect to the CαC^ \alpha norm, hence CαC^ \alpha is a complete metric space.

For part 2 of this problem, we observe that for all x,y[0,1]x, y\in \left[ 0,1 \right], we have fn121\left\lVert f_n \right\rVert _{\frac{1}{2}} \leq 1 for all nn implies fn(x)fn(y)xy12.\left\lvert f_n(x)-f_n(y) \right\rvert \leq \left\lvert x-y \right\rvert ^{\frac{1}{2}}. Thus, for any ϵ>0\epsilon > 0, we have xy<ϵ2\left\lvert x-y \right\rvert < \epsilon ^2 implies fn(x)fn(y)<ϵ\left\lvert f_n(x)-f_n(y) \right\rvert < \epsilon for all x,y[0,1]x, y\in \left[ 0,1 \right]; thus {fn}\left\lbrace f_n \right\rbrace is an equicontinuous family of functions. Moreover, since fnfnα1\left\lVert f_n \right\rVert_\infty \leq \left\lVert f_n \right\rVert_ \alpha \leq 1 for all nn, they are also uniformly bounded. Thus, by Ascoli’s theorem, there is a uniformly converging subsequence fnkf _{n_k} with some uniform limit ff. Relabelling, we may assume without loss of generality that fnff_n\to f uniformly to begin with.

First, we claim that f12<\left\lVert f \right\rVert _{\frac{1}{2}} < \infty. Certainly f1\left\lVert f \right\rVert_\infty \leq 1; we need only handle the second term. But for any xyx\neq y in [0,1]\left[ 0,1 \right], we have f(x)f(y)xy12=limnfn(x)fn(y)xy121,\frac{\left\lvert f(x)-f(y) \right\rvert}{\left\lvert x-y \right\rvert ^{\frac{1}{2}}} = \lim _{n\to\infty} \frac{\left\lvert f_n(x)-f_n(y) \right\rvert}{ \left\lvert x-y \right\rvert ^{\frac{1}{2}}} \leq 1, thus f122\left\lVert f \right\rVert _{\frac{1}{2}} \leq 2.

This does not mean that fnff_n\to f in C12C ^{\frac{1}{2}}. This was the most common mistake in this section. Ascoli’s theorem only affords you uniform convergence, and you have to work harder to control the second term in the C12C ^{\frac{1}{2}} or C13C ^{\frac{1}{3}} norm.

What we get out of this is that by the triangle inequality, ffn123\left\lVert f-f_n \right\rVert _{\frac{1}{2}} \leq 3 for all nn; we can exploit this boundedness when analysing the C13C ^{\frac{1}{3}} norm of ffnf-f_n. Specifically, we want to show that for all ϵ>0\epsilon > 0, there is some NϵN_ \epsilon such that for all n>Nϵn > N_ \epsilon , supx,y[0,1]xyf(x)fn(x)f(y)+fn(y)xy13<ϵ.\sup _{\substack{x, y\in \left[ 0,1 \right] \\ x\neq y}} \frac{\left\lvert f(x)-f_n(x)-f(y)+f_n(y) \right\rvert}{ \left\lvert x-y \right\rvert ^{\frac{1}{3}}} < \epsilon .

Fix an xyx\neq y in [0,1]\left[ 0,1 \right]. We have that when xy\left\lvert x-y \right\rvert is quite large, the uniform convergence of fnff_n\to f will make the numerator of the above quite small. However, when xy\left\lvert x-y \right\rvert is quite small, we will have to do better. Specifically, we shall decompose f(x)fn(x)f(y)+fn(y)xy13=f(x)fn(x)f(y)+fn(y)xy12xy16.\frac{\left\lvert f(x)-f_n(x)-f(y)+f_n(y) \right\rvert}{ \left\lvert x-y \right\rvert ^{\frac{1}{3}}} = \frac{\left\lvert f(x)-f_n(x)-f(y)+f_n(y) \right\rvert}{\left\lvert x-y \right\rvert ^{\frac{1}{2}}} \cdot \left\lvert x-y \right\rvert ^{\frac{1}{6}}.

When xy(ϵ3)6\left\lvert x-y \right\rvert\leq \left( \frac{\epsilon }{3} \right)^6, the right hand side is smaller than ϵ\epsilon . This handles the first case. On the other hand, if xy>(ϵ3)6\left\lvert x-y \right\rvert > \left( \frac{\epsilon }{3} \right) ^ 6, we need f(x)fn(x)f(y)+fn(y)(3ϵ)12<ϵ.\left\lvert f(x)-f_n(x)-f(y)+f_n(y) \right\rvert \cdot \left( \frac{3}{ \epsilon } \right) ^{\frac{1}{2}} < \epsilon. But the left side is bounded by 2ffn(3ϵ)122 \left\lVert f-f_n \right\rVert_\infty \left( \frac{3}{\epsilon } \right) ^{\frac{1}{2}}, so picking NϵN_ \epsilon large enough so that n>Nϵn > N_ \epsilon implies ffn<ϵ3223\left\lVert f-f_n \right\rVert_\infty < \frac{\epsilon ^{\frac{3}{2}} }{ 2 \sqrt 3} will do the trick. But this NϵN_ \epsilon is independent of xx and yy, thus we see that ffn13<ffn+ϵ\left\lVert f-f_n \right\rVert _{\frac 13} < \left\lVert f-f_n \right\rVert_ \infty + \epsilon for all n>Nϵn > N _ \epsilon . By increasing NϵN_ \epsilon if needed, we can make this smaller than say 2ϵ2 \epsilon , hence ffn130\left\lVert f-f_n \right\rVert _{\frac{1}{3}} \to 0 , as claimed. \square

Remark 4.

If you will walk away from this post with something, please walk away knowing that convergence in CαC^ \alpha is more restrictive than uniform convergence. Uniform convergence is strong, but it’s not strong enough for this problem; in fact, there are sequences of functions that converge uniformly to some limit but are unbounded in CαC^ \alpha for any α\alpha . An example would be fn(x)={nαxx<n2α,nαxn2α.f_n(x) = \begin{cases} n^ \alpha x & x < n ^{-2 \alpha }, \\ n ^{- \alpha } & x \geq n ^{-2 \alpha }. \end{cases} Then fn0f_n\to 0 uniformly, but fnα=nα\left\lVert f_n \right\rVert _{\alpha } = n ^{\alpha }\to\infty as nn\to\infty.