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+\font\bigbf=cmbx12 at 24pt
+\newfam\bbold
+\font\bbten=msbm10
+\font\bbsev=msbm7
+\font\bbfiv=msbm5
+\textfont\bbold=\bbten
+\scriptfont\bbold=\bbsev
+\scriptscriptfont\bbold=\bbfiv
+\def\bb#1{{\fam\bbold #1}}
+\input color
+
+\newcount\pno
+\def\tf{\advance\pno by 1\smallskip\bgroup\item{(\number\pno)}}
+\def\endtf{\egroup\medskip}
+\def\false{\centerline{TRUE\qquad{\color{blue} FALSE}}}
+\def\true{\centerline{{\color{blue} TRUE}\qquad FALSE}}
+
+\newcount\qno
+\long\def\question#1{\ifnum\qno=0\else\vfil\eject\fi\bigskip\pno=0\advance\qno by 1\noindent{\bf Question \number\qno.} {\it #1}}
+
+\def\proof{\medskip\noindent{\it Proof.}\quad}
+\def\endproof{\leavevmode\hskip\parfillskip\vrule height 6pt width 6pt
+depth 0pt{\parfillskip0pt\medskip}}
+
+\let\bu\bullet
+
+{\bigbf\centerline{Holden Rohrer}\bigskip\centerline{MATH 4317\qquad HOMEWORK \#3}}
+
+\question{Answer True or False. No justification is needed.}
+
+\tf
+A sequence of reals that is bounded above converges.
+\endtf
+
+\false
+
+\tf
+A monotone sequence of reals converges.
+\endtf
+
+\false
+
+\tf
+A sequence of reals that is bounded above and is monotone converges.
+\endtf
+
+\false
+
+\tf
+If $\{x_n\}$ is a sequence, and $p_1=2, p_2=3, p_3=5,\ldots$ are the
+primes listed in increasing order, then $\{x_{p_k}\}$ is a subsequence.
+\endtf
+
+\true
+
+\tf
+If $\{x_n\}$ is a sequence which converges, and
+$p_1=2,p_2=3,p_3=5,\ldots$ are the primes listed in increasing order,
+then $\{x_{p_k}\}$ converges.
+\endtf
+
+\true
+
+\tf
+If $\{x_n\}$ is a sequnce, then $\{x_{n+(-1)^n}\}$ is a subsequence.
+\endtf
+
+\false
+
+\tf
+The rationalso are closed under addition, multiplication, and division.
+And a sequence of rationals that is convergent converges to a rational.
+\endtf
+
+\false
+
+\tf
+The supremum of the empty set is $\sup\emptyset = -\infty.$
+\endtf
+
+\true
+
+\tf
+If non-empty set $S$ has supremum $\pi,$ then there are infinitely many
+elements $s\in S$ with $\pi-1/100<s\leq\pi.$
+\endtf
+
+\false
+
+\question{Show directly, from the definition, and using elementary
+methods that the three sequences below are Cauchy.}
+
+\item{(1)} $\{1/n : n\in\bb N\}$
+
+\proof
+Let $\epsilon > 0.$
+Choose $N \in\bb N$ such that $N > 1/\epsilon > 0.$
+
+Let $m,n > N.$
+$$0 < 1/m, 1/n < 1/N < \epsilon.$$
+
+Subtracting,
+$$-\epsilon < 1/n - 1/m < \epsilon \Longrightarrow |1/n-1/m| <
+\epsilon,$$
+giving us that the sequence is Cauchy.
+\endproof
+
+\item{(2)} $\{{3n-1\over 2n+5} : n\in\bb N\}$
+
+\proof
+$$a_n := {3n-1\over 2n+5} = {3n+7.5-8.5\over 2n+5} = {3\over 2} -
+{8.5\over 2n+5}.$$
+
+Let $\epsilon > 0.$
+We choose $N = {4.25\over\epsilon}-2.5,$ and for all $n,m>N,$
+$$|a_n-a_m| = \left|\left({3\over 2} - {8.5\over 2n+5}\right) -
+\left({3\over 2} - {8.5\over 2m+5}\right)\right| = \left|{8.5\over 2n+5}
+- {8.5\over 2m+5}\right| < {8.5\over 2N+5} = \epsilon,$$
+with the inequality found by maximizing the absolute value variable (we
+might also show this inequality by starting from $n,m > N$ and
+rearranging).
+%TODO: may be worth improving
+
+We have shown the sequence is Cauchy.
+\endproof
+
+\item{(3)} Let $\{s_n\}$ be any sequence of digits with
+$s_n\in\{0,1,2\}$ for all integers $n.$ Show that the sequence $\{x_n\}$
+is Cauchy, where $x_n = \sum_{m=1}^n {s_m\over 3^m}.$
+
+\proof
+Let $\epsilon > 0.$
+Pick $N$ such that $3^{-N} < \epsilon.$
+We will show that $|x_n-x_m| < \epsilon$ for all $n,l > N.$
+$$x_n = \sum_{m=1}^n {s_m\over 3^m} = \sum_{m=1}^N {s_m\over 3^m} +
+\sum_{m=N}^n {s_m\over 3^m} \leq \sum_{m=1}^N {s_m\over 3^m} +
+\sum_{m=1}^N {2\over 3^m} = \sum_{m=1}^N {s_m\over 3^m} + 3^{-N} -
+3^{-n} \leq \sum_{m=1}^N {s_m\over 3^m} + 3^{-N},$$
+and, eliminating the second term, we also get $x_n \geq \sum_{m=1}^N.$
+Taking these together,
+$|x_m-x_n| \leq 3^{-N} = \epsilon.$
+
+\endproof
+
+\question{}
+
+\item{(1)} Show that the sequence below converges
+
+$$\sqrt 2, \sqrt{2+\sqrt 2}, \sqrt{2 + \sqrt{2 + \sqrt 2}}, \ldots$$
+
+\proof
+Let $a_1 = \sqrt 2$ and for $n\geq 1,$ that $a_{n+1} = \sqrt{2+a_n}.$
+
+We will show by induction that it is bounded by 2 and, later, that it is
+monotonically increasing.
+
+Clearly, $\sqrt 2 < 2,$ so $a_1 < 2.$
+For $k\geq 1,$ we assume $a_k < 2,$ then $2+a_k < 4,$ so $\sqrt{2+a_k} <
+2,$ or in other words, $a_{k+1} < 2.$
+We have shown the sequence is bounded above.
+
+$0 < a_k < 2,$ so $a_k-2 < 0$ and $a_k+1 > 0.$
+Therefore,
+$$(a_k-2)(a_k+1) = a_k^2 - a_k - 2 < 0,$$
+Rearranging, and noting that both sides are positive, so the square root
+function can be used and is monotonically increasing so as not to change
+the direction of the inequality,
+$$a_k < \sqrt{a_k+2} = a_{k+1},$$ showing that our sequence is
+strictly monotonically increasing, so the set is bounded below by the
+first element.
+
+By the Monotone Convergence Theorem, the sequence converges.
+\endproof
+
+\item{(2)} Does the sequence below converge? If so, to what?
+
+$$\sqrt 2, \sqrt{2\sqrt 2}, \sqrt{2\sqrt{2\sqrt 2}}, \ldots$$
+
+\proof
+Yes, this sequence converges to 2 (heuristically, $\sqrt{2x} = x$ has
+roots 0 and 2, and all elements are positive)
+
+We will show it is monotone, bounded by 2, and that the limit of the set
+cannot be less than 2.
+Let $x_1 = \sqrt 2$ and $x_n = \sqrt{2x_{n-1}}$ otherwise.
+
+$x_1 = \sqrt 2 < 2,$ and assuming $x_k < 2,$ then $2x_k < 4,$ and
+$\sqrt{2x_k} = x_{k+1} < 2.$
+This shows the sequence is bounded by 2.
+
+All elements are positive.
+Specifically, $x_1 = \sqrt 2 > 0,$ and $\sqrt{2x_n}>0$ where $x_n>0,$ giving
+the inductive step.
+We have also already shown $2 > x_n,$ so $2x_n > x_n^2,$ so finally
+$\sqrt{2x_n} = x_{n+1} > x_n,$ giving monotonicity.
+
+To show the limit cannot be less than 2, assume for the sake of
+contradiction that the limit is $1.5 < 2-\mu < 2$ (or, phrased
+otherwise, $0 < \mu < .5$)
+
+By the definition of convergence, we may find $x_n > 2-1.1\mu.$
+We will show $\sqrt{2x_n} = x_{n+1} > 2-\mu.$
+Note that $\mu < .9,$ so $.9-\mu > 0,$ and $\mu > 0.$
+Therefore,
+$$(.9-\mu)\mu = .9\mu-\mu^2 > 0 \Rightarrow 2-1.1\mu > 2-2\mu+\mu^2/2
+\Rightarrow 2(2-1.1\mu) > (2-\mu)^2 \Rightarrow \sqrt{2(2-1.1\mu)} =
+x_{n+1} > 2-\mu.$$
+we have thus shown that the sequence may exceed the limit, instructing
+us that the limit is 2.
+
+\endproof
+
+\question{}
+
+\item{(1)} In Section 1.4, we used the Axiom of Completeness (AoC) to
+prove the Archimedean Property of $\bb R$ (Theorem 1.4.2). Show that the
+Monotone Convergence Theorem can also be used to prove the Archimedean
+Property without making any use of AoC.
+
+\proof
+
+The sequence $a_n = n$ is monotone.
+
+We will show the Archimedean Property by contradiction.
+Let there be $x\in\bb R$ such that there is no $n\in\bb N$ satisfying
+$n>x.$
+Therefore, $a_n$ is bounded and converges to some number $a < n$ by the
+Monotone Convergence Theorem.
+Let $0 < \epsilon < 1/2.$
+
+From the definition of convergence, there exists $N$ such that for all
+$m\geq N,$ that $|a-a_N| < \epsilon.$
+Rewriting, $a_N-\epsilon < a < a_N+\epsilon,$ and from our inequality
+about $\epsilon,$
+$$a < a_N+1/2 \to a < a_{N+1}-1/2,$$
+which contradicts our convergence statement.
+
+\endproof
+
+\item{(2)} Use the Monotone Convergence Theorem to supply a proof for
+the Nested Interval Property (Theorem 1.4.1) that doesn't make use of
+AoC. These two results suggest that we could have used the Monotone
+Convergence Theorem in place of AoC as our starting axiom for building a
+proper theory of the real numbers.
+
+\proof
+Let $I_i = [a_i,b_i]$ be a sequence of nonempty closed intervals such
+that $$I_1\supseteq I_2 \supseteq I_3 \supseteq \cdots.$$
+$a_i$ is a weakly monotone increasing sequence because if $a_{i+1}<a_i,$
+then $a_{i+1}\in I_{i+1},$ but $a_{i+1}\not\in I_i,$ violating the
+interval condition.
+It is clearly bounded by $b_1$ because if $a_i > b_1,$ then
+$I_i\not\subseteq I_1,$ and $I_1$ is nonempty.
+
+The Monotone Convergence Theorem tells us that $a_i$ converges to some
+$x\geq a_i$ because $a_i$ is strictly increasing.
+
+For the sake of contradiction, let there be $b_k < x.$
+Let $\epsilon = x-b_k.$
+Because $a_i$ converges to $x,$ there must be for some $i>k,$ an $a_i >
+x-\epsilon = b_k,$ violating the definitions of our intervals.
+We have thus obtained $x\in [a_i, b_i],$ for all $i\in\bb N,$ and
+therefore in the intersection of these intervals.
+\endproof
+
+\question{Exercise 2.4.7 (Limit Superior). Let $(a_n)$ be a bounded
+sequence.}
+
+\item{a)} Prove that the sequence defined by $y_n = \sup\{a_k : k\geq
+n\}$ converges.
+
+\proof
+$y_n \geq y_{n+1},$ because $\{a_k : k\geq n\}\supseteq\{a_k : k \geq
+n+1\},$ so any upper bound for the former set is an upper bound for the
+latter.
+It is monotone and bounded by whatever bound $(a_n)$ is bounded by, so
+it must converge by the Monotone Convergence Theorem.
+\endproof
+
+\item{b)} The limit superior of $(a_n)$ or $\limsup a_n,$ is defined
+by $\limsup a_n = \lim y_n,$ where $y_n$ is the sequence from part
+$(a)$ of this exercise. Provide a reasonable definition for $\liminf
+a_n$ and briefly explain why it always exists for any bounded sequence.
+
+\proof
+We can define $$\liminf a_n := -\limsup (-a_n).$$
+If $|a_n| < b$ for some $b,$ then $|-a_n| = |a_n| < b$ too.
+Clearly, this exists because $(-a_n)$ is also a bounded sequence where
+$\limsup$ exists.
+
+Also, this is equivalent to the more intuitive definition
+$$\liminf a_n := \lim(\inf\{a_k : k\geq n\})$$ because the lower bound of that set maps
+onto the upper bound of its negation.
+This would also exist because the infimum would be monotonically
+increasing and bounded in the same way.
+\endproof
+
+\item{c)} Prove that $\liminf a_n \leq \limsup a_n$ for every bounded
+sequence, and give an example of a sequence for which the inequality is
+strict.
+
+\proof
+For all sets of bounded numbers $S_k = \{a_k : k\geq n\},$
+we know $\inf S_k \leq \sup S_k$ (the lower bound must be below the
+upper bound).
+By the Nested Interval Property, and because the infimum and supremum
+should create a set of nested intervals (they are increasing and
+decreasing respectively), we should have some $x\in [\liminf a_n,
+\limsup a_n],$ meaning $\liminf a_n \leq \limsup a_n.$
+The inequality is strict for the sequence $(0)_{n\in\bb N}.$
+\endproof
+
+\item{d)} Show that $\liminf a_n = \limsup a_n$ if and only if $\lim
+a_n$ exists. In this case, all three share the same value.
+
+\proof
+$(\Rightarrow)$
+Let $x := \liminf a_n = \limsup a_n.$
+Let $\epsilon > 0.$
+
+Using the definition of convergence, for some $N,$
+$$|\inf\{a_k : k \geq N\} - x| < \epsilon \Rightarrow x > \inf\{a_k :
+k\geq N\}-\epsilon \Rightarrow x > a_j-\epsilon,$$
+for all $j\geq N.$
+Similarly, we can obtain $a_j+\epsilon > x.$
+This means for all $j>N,$ the sequence converges as $|a_j-x| <
+\epsilon,$ so $\lim a_n = x$ exists.
+
+$(\Leftarrow)$
+Let $\lim a_n = x$ exist.
+Let $\epsilon > 0.$
+We must have $N$ such that for all $n > N,$ $|a_n - x| < \epsilon.$
+That means $$\limsup a_n \leq \sup\{a_n : n > N\} < x+\epsilon,$$ and a
+similar lower limit for $\liminf.$
+$|\limsup a_n - \liminf a_n| < 2\epsilon,$ and by the "give me some
+room" principle, $\limsup a_n = \liminf a_n = x.$
+\endproof
+
+\bye