1. Introduction and basic set theory
2. Three important principles and their consequences
3. Least Upper Bounds and Greatest Lower Bounds; Fields and Ordered Fields; Axiom of Completeness
4. Dedekind cuts, construction of $\mathbb R$ from $\mathbb Q$; Consequences of the Axiom of Completeness; Decimals, Extended Real Number System
5. The Limit of a Sequence; The Algebraic and Order Limit; Theorems; Squeeze Theorem and Diverging Sequences
6. Subsequences and Cauchy Sequences; Monotone Convergence Theorem and Bolzano--Weierstrass Theorem; Cauchy Completeness and; Complex field
7. More about sequences; Classical inequalities in analysis
8. Stolz theorem and Euler's number; Upper and lower limits
9. Infinite series and their properties
10. Absolute and conditional convergence of infinite series
11. Functions and their properties; Cartesian products and Axion of Choice
12. Axiom of Choice, Cardinality, Cantor's theorem
13. Countable sets, cardinality continuum
14. Metric spaces basic properties
15. Complete spaces; and Compact sets
16. Compact sets, Perfect Sets, Connected Sets; and Cantor set
17. Continuous functions; Continuous functions on compact and connected sets
18. Uniform continuity; Banach Contraction Principle; Sets of Discontinuity
19. Derivatives, the; Mean-Value Theorem and its Consequences; Higher Order Derivatives; Convex and Concave functions
20. Exponential Function and Natural Logarithm Function; Power Series and Taylor's theorem
21. Power series of trigonometric functions done right; Fundamental Theorem of Algebra; and Taylor expansions of other important functions and applications
22. Riemann Integrals
23. Uniform Convergence of a Sequence of Functions; Uniform Convergence and Differentiation; Series of Functions; The Weierstrass Approximation Theorem
24. Applications of calculus: Fundamental theorem of algebra; Stirling's formula, Equidistribution theorem of Weyl; Transcendence of the Euler's number

16. Compact sets, Perfect Sets, Connected Sets; and Cantor set  PDF

Compact sets in Euclidean spaces

Compactness in Euclidean spaces

Theorem. Every closed and bounded set of \(\mathbb{R}^n\) is complete.

Proof. We deduce compactness by showing completeness and total boundedness.

  • Since every closed subset of \(\mathbb{R}^n\) is complete is suffices to show that bounded subsets of \(\mathbb{R}^n\) are totally bounded.

  • Since every bounded set is contained in some cube \(Q=[-R,R]^n\) it is enough to show that \(Q\) is totally bounded.

  • Given \(\varepsilon>0\) pick the integer \(k>\frac{R\sqrt{n}}{\varepsilon}\) and express \(Q\) as the union of \(n^n\) congruent subcubes by dividing the interval \([-R,R]\) into \(k\) equal pieces.

  • The side length of these subcubes is \(\frac{2R}{k}\) and hence the diameter is \(\sqrt{n}\left(\frac{2R}{k}\right)<2\varepsilon\), so they are contained in the balls of radius \(\varepsilon\) about their centers. $$\tag*{$\blacksquare$}$$

\(Q=[-R,R]^n\) is totally bounded

image

Example

Example. Determine if the set \[X=\{(x,y) \in \mathbb{R}^2\;:\;(x-1)^2+(y-1)^2 < 1\}\] is compact or not in \(\mathbb{R}^2\) with Euclidean metric.

image

Solution. Note that \((2,0)\) is an accumulation point of \(X\), but \((2,0) \not\in X\). Therefore, \(X\) is not closed, so it is not compact.$$\tag*{$\blacksquare$}$$

Example. Determine if the set is compact or not in \(\mathbb{R}^2\) with Euclidean metric: \[X=\{(x,y) \in \mathbb{R}^2\;:\;(x-1)^2+(y-1)^2 {\color{red}\leq} 1\}.\]

image

Solution. \(X\) contains all of its accumulation points so it is closed. It is contained in the ball \(B(0,10)\), so it is bounded. Therefore, by the previous theorem, it is compact.$$\tag*{$\blacksquare$}$$

Example. Determine if the set \[X=\{(x,y) \in \mathbb{R}^2\;: 1<y<2\}\] is compact or not in \(\mathbb{R}^2\) with Euclidean metric.

image

Solution. Note that \((0,2)\) is an accumulation point of \(X\), but \((0,2) \not\in X\). Therefore, \(X\) is not closed, so it is not compact.$$\tag*{$\blacksquare$}$$

Example. Determine if the set \[X=\{(x,y) \in \mathbb{R}^2\;: 1 {\color{red}\leq} y {\color{red}\leq} 2\}\] is compact or not in \(\mathbb{R}^2\) with Euclidean metric.

image

Solution. In can be checked that \(X\) is closed, although it is not contained in any ball, so it is not bounded, so it is not compact.$$\tag*{$\blacksquare$}$$

Examples

Example. Determine if the set \(\mathbb{Q}\) is compact in \(\mathbb{R}\).

Solution. \(\mathbb{Q}\) is not contained in any interval, so it is not compact.$$\tag*{$\blacksquare$}$$

Example. Determine if the set \(\mathbb{Q} \cap [0,1]\) is compact in \(\mathbb{R}\).

Solution. \(\mathbb{Q}\) is contained in \((-1,2)\), but \({\rm cl\;}\mathbb{Q} \cap [0,1] =[0,1] \neq \mathbb{Q} \cap [0,1]\), so it is not closed, so it is not compact.$$\tag*{$\blacksquare$}$$

Perfect sets

Accumulation and isolated points

Accumulation point. Let \((X,\rho)\) be a metric space, \(x \in X\) is called an accumulation point of \(E \subseteq X\) if for every open set \(U \ni x\) we have \[(E \setminus \{x\}) \cap U \neq \varnothing.\]

An accumulation point \(x\) of \(E \subseteq X\) is sometimes also called a limit point of \(E\) or a cluster point of \(E\).

Isolated point. A point \(x \in E\) is called an isolated point of \(E\) if it is not an accumulation point of \(E\).

Perfect sets

Perfect sets. We say that a subset \(E\) of a metric space \((X,\rho)\) is perfect if \(E\) is closed and every point of \(E\) is its limit point or equivalently \[E={\rm acc\;}E.\]

Theorem. Let \(\varnothing \neq P \subseteq \mathbb{R}^k\) be a perfect set. Then \(P\) is uncountable.

In the proof we will use the fact that we have just proved:

Proposition. Every closed and bounded set of \(\mathbb{R}^k\) is compact.

Proof. Since \(P\) has limit points, \(P\) must be infinite. In fact, for every \(x \in P\) and \(r>0\) \[B(x,r) \cap P \quad \text{ is infinite.}\]

  • Suppose not, i.e. there is \(x_0 \in P\) and \(r_0>0\) such that \[B(x_0,r_0) \cap P=\{x_1,\ldots,x_n\}.\]

  • Consider \[\rho(x_0,x_1), \ldots, \rho(x_0,x_n)\] and let \[r=\min_{1 \leq i \leq n}\rho(x_0,x_i)>0.\]

  • Then \[B(x_0,r) \cap P=\varnothing,\] thus \(x_0\) is not a limit point, contradiction.

Now we can assume \({\rm card\;}(P) \geq {\rm card\;}(\mathbb{N})\). Suppose for a contradiction that \({\rm card\;}(P)={\rm card\;}(\mathbb{N})\), i.e. \(P=\{x_1,x_2,\ldots\}\).

  • Let \(V_1=B(x_1,r)\), then of course \(V_1 \cap P \neq \varnothing\). Suppose that \(V_n\) has been constructed so that \(V_n \cap P \neq \varnothing\).

  • Since every point of \(P\) is a limit point of \(P\) there is an open set \(V_{n+1}\) such that

    1. \({\rm cl\;}(V_{n+1}) \subseteq V_{n}\),

    2. \(x_{n} \not\in {\rm cl\;}(V_{n+1})\),

    3. \(V_{n+1} \cap P \neq \varnothing\).

  • Let \(K_n={\rm cl\;}(V_n) \cap P\), this set is closed and bounded, thus compact. Since \(x_{n} \not\in K_{n+1}\), no point of \(P\) lies in \(\bigcap_{n=1}^{\infty}K_n\), but \(K_n \subseteq P\), so \[\bigcap_{n=1}^{\infty}K_n = \varnothing.\]

  • On the other hand, \(K_n \neq \varnothing\), compact, and \(K_{n+1} \subseteq K_n\), and the family \(K_n\) has a finite intesection property, i.e. any finite intersection of members of \((K_n)_{n \in \mathbb{N}}\) is nonempty,

    \[K_{n_1} \cap \ldots \cap K_{n_k} \neq \varnothing.\]

  • Thus \[\bigcap_{n=1}^{\infty}K_n \neq \varnothing,\] which is a contradiction. Hence \(P\) must be uncountable. $$\tag*{$\blacksquare$}$$

Corollary. Every interval \([a,b]\) with \(a<b\), and also \(\mathbb{R}\) are uncountable.

Connected sets

Separated and connected sets

Separated sets. Two subsets \(A\) and \(B\) of a metric space \((X,\rho)\) are said to be separated if both \[A \cap {\rm cl\;}(B)=\varnothing \quad \text{ and }\quad {\rm cl\;}(A) \cap B=\varnothing.\]

In other words, no points of \(A\) lies in the closure of \(B\) and vice versa.

Connected set. A set \(E \subseteq X\) is said to be connected if \(E\) is not a union of two nonempty separated sets.

Example.

  • \([0,1]\) and \((1,2)\) are not separated since \(1\) is a limit point of \((1,2)\).

  • However, \((0,1)\) and \((1,2)\) are separated.

Theorem

Theorem. \(E \subseteq \mathbb{R}\) is connected iff for all \(x,y \in E\) if \(x<z<y\), then \(z \in E\).

Proof (\(\Longrightarrow\)). If there exist \(x,y \in E\) and \(z \in (x,y)\) such that \(z \not\in E\), then \[E={\color{red}A_z} \cup {\color{blue}B_z}, \quad \text{ where }\quad {\color{red}A_z=E \cap (-\infty,z)} \quad \text{ and } \quad {\color{blue}B_z=E \cap (z,\infty)}.\] Since \(x \in A_z\) and \(y \in B_z\), then \(A_z \neq \varnothing\), \(B_z \neq \varnothing\) and also \(A_z \subseteq (-\infty,z)\), \(B_z \subseteq (z,\infty)\), so they are separated. Hence \(E\) is not connected.

Proof (\(\Longleftarrow\)). Conversely, suppose that \(E\) is not connected.

  • Then there are non-empty separated sets \(A,B\) such that \(A \cup B=E\).

  • Pick \(x \in A\) and \(y \in B\) and without loss of generality assume \(x<y\). Define \[z=\sup \left(A \cap [x,y]\right).\] hence \(z \in {\rm cl\;}(A)\) and \(z \not\in B\). In particular, \(x \leq z<y\).

  • If \(z \not\in A\) it follows \(x<z<y\) and \(z \not \in E\).

  • If \(z \in A\) then \(z \not \in {\rm cl\;}(B)\) hence there is \(z_1\) such that \(z<z_1<y\) and \(z_1 \not\in B\). Then \(x<z_1<y\) and \(z_1 \not\in E\).$$\tag*{$\blacksquare$}$$

Example. Prove that \(X=\mathbb{R} \setminus \{0\}\) is not connected.

Solution. We have \(-1,1 \in X\), but \(-1<0<1\) and \(0 \not\in X\), so \(X\) is not connected.$$\tag*{$\blacksquare$}$$

Cantor set

There exists a perfect set in \(\mathbb{R}\) which contains no segment.

  • Let \(C_0=[0,1]\). Given \(C_n\) that consist of \(2^n\) disjoint closed intervals each of length \(3^{-n}\) take each of these intervals and delete the open middle third to produce two closed intervals each of length \(3^{-n-1}\).

image

  • Take \(C_{n+1}\) to be the union of \(2^{n+1}\) closed intervals so formed and continue.

Cantor set

Cantor set. The set \[\mathcal{C}=\bigcap_{n=0}^{\infty}C_n\] is called the Cantor set or ternary Cantor set.

  • Each \(C_0 \supseteq C_1 \supseteq C_2 \supseteq \ldots\) is closed and bounded thus compact, and the family \((C_n)_{n \in \mathbb{N}}\) has finite intersection property thus the Cantor set is compact and \(\mathcal{C} \neq \varnothing\) .

Property (*). By the construction for each \(k,m \in \mathbb{N}\) we see that no segment of the form \[\left(\frac{3k+1}{3^m},\frac{3k+2}{3^m}\right) \quad \text{ has a point in common with $\mathcal{C}$. }\]

Properties of the Cantor set

  • Since every segment \((\alpha,\beta)\) contains a segment of the form (*) if \(m\) is sufficiently large, since the set \[\left\{\frac{\ell}{3^m}\;:\; m \in \mathbb{N} \text{ and }0 \leq \ell \leq 3^{m}-1\right\}\] is dense in \([0,1]\). Thus \(\mathcal{C}\) contains no segment \((\alpha,\beta)\). This also shows \({\rm int\;}\mathcal C=\varnothing\).


  • To prove that \(\mathcal{C}\) is perfect it is enough to show that \(\mathcal{C}\) contains no isolated point. Let \(x \in \mathcal{C}\) and let \(I_n\) be the unique interval from \(C_n\) which contains \(x \in I_n\). Let \(x_n\) be the endpoint of \(I_n\) such that \(x \neq x_n\). It follows from the construction of \(\mathcal{C}\) that \(x_n \in \mathcal{C}\). Hence \(x\) is a limit point of \(\mathcal{C}\) thus \(\mathcal{C}\) is perfect.

More about Cantor set

More about Cantor set

  • Each component of \(C_n\) can be described as the set

    \[C_n=\left\{\sum_{n=1}^\infty \frac{\varepsilon_j}{3^j}\;:\; \varepsilon_j \in \{0,1,2\} \text{ and }\varepsilon_j \neq 1 \text{ for }1 \leq j \leq n\right\}.\].

  • Consequently,

    \[{\color{teal}\mathcal{C}=\left\{\sum_{n=1}^\infty \frac{\varepsilon_j}{3^j}\;:\; \varepsilon_j \in \{0,2\} \right\}.}\].

Fact

Fact. Any number \(\sum_{j=1}^\infty \frac{\varepsilon_j}{3^j}\) is uniquely determined by its sequence \(\varepsilon=(\varepsilon_j)_{j \in \mathbb{N}}\) with \(\varepsilon_j \in \{0,2\}\).

Proof. Take \(\varepsilon=(\varepsilon_j)_{j \in \mathbb{N}}\), \(\delta=(\delta_j)_{j \in \mathbb{N}}\) with \(\varepsilon_j,\delta_j \in \{0,2\}\) such that \(\varepsilon \neq \delta\). Let \(N=\min\{j \in \mathbb{N}\;:\; \varepsilon_j \neq \delta_j\}\) and assume \(0=\varepsilon_N<\delta_N=2\). Then \[\begin{aligned} \sum_{j=1}^{\infty}\frac{\varepsilon_j}{3^j}&= \sum_{j=1}^{N-1}\frac{\varepsilon_j}{3^j}+\sum_{j=N+1}^{\infty}\frac{\varepsilon_j}{3^j} \leq \sum_{j=1}^{N-1}\frac{\delta_j}{3^j}+\frac{2}{3^{N+1}}\sum_{j=0}^{\infty}\frac{1}{3^j} \\&\leq \sum_{j=1}^{N-1}\frac{\delta_j}{3^j}+\frac{2}{3^{N+1}}\underbrace{\frac{1}{1-\frac{1}{3}}}_{{\color{red}\frac{3}{2}}} =\sum_{j=1}^{N-1}\frac{\delta_j}{3^j}+\frac{1}{3^N}<\sum_{j=1}^{N-1}\frac{\delta_j}{3^j}+\frac{2}{3^N}\le \sum_{j=1}^{\infty}\frac{\delta_j}{3^j}. \end{aligned}\] This completes the proof. $$\tag*{$\blacksquare$}$$

Remarks

Remark. We have two different representations \[\begin{aligned} \frac{1}{3}&=\sum_{j=1}^\infty \frac{\varepsilon_j}{3^j}=A, \quad \varepsilon_1=1, \quad \varepsilon_j=0 \quad\text{ for } \quad j \geq 2.\\ \frac{1}{3}&=\sum_{j=1}^\infty \frac{\varepsilon_j}{3^j}=B, \quad \varepsilon_1=0, \quad \varepsilon_j=2 \quad \text{ for } \quad j \geq 2. \end{aligned}\]

There is a bijection \(\phi:\{0,1\}^{\mathbb{N}} \to \mathcal{C}\) defined by \[\phi(z)=\frac{2}{3}\sum_{j=0}^{\infty}\frac{z_j}{3^j} \quad \text{ for } \quad z=(z_j)_{j \in \mathbb{N}}, \quad z_j \in \{0,1\},\] and consequently \({\rm card\;}(\mathcal{C})={\rm card\;}(\{0,1\}^{\mathbb{N}})={\rm card\;}(\mathbb{R})=\mathfrak{c}.\)

Cantor tree

image

\({\color{red}\varepsilon=(0,1,1,0,\varepsilon_4,\varepsilon_5,\ldots)}\)

Top