Real Analysis
Self-Study Notes (Understanding Analysis)
- Basics
- The Absolute Value Function
- Definition and Properties
- Let \(x \in \mathbf{R}\), prove that \(|x| \geq 0\).
- Let \(x \in \mathbf{R}\), prove that \(-|x| \leq x \leq |x|\).
- For two real numbers \(x\) and \(y\), prove that \(\max(x,y) = \frac{1}{2}(x+y+|x - y|)\).
- \(|ab| = |a|\cdot|b|\) holds for all real numbers \(a\) and \(b\).
- \(|a+b| \leq |a|+|b|\) holds for all real numbers \(a\) and \(b\).
- \(|a - c| \leq |a - b|+|b - c|\) holds for all real numbers \(a\), \(b\) and \(c\).
- Upper and Lower Bounds
- Bounds Definitions
- [Lemma 1.3.8] If \(s\) is an upper bound for \(A\), then \(s = \sup A\) if and only if for every choice of \(\epsilon > 0\), there exists an element \(a \in A\) satisfying \(s - \epsilon < a\).
- The Nested Interval Property
- The Archimedean Principle
- [Density of \(\mathbf{Q}\) in \(\mathbf{R}\)] For every two real numbers \(a\) and \(b\) with \(a < b\), there exists a rational number \(r\) satisfying \(a < r < b\).
- Prove that if \(a\) is an upper bound for \(A\), and if \(a\) is also an element of \(A\), then it must be that \(a=\sup A\)
- Assume that \(A\) and \(B\) are nonempty, bounded above, and satisfy \(B \subseteq A\). Show \(\sup B \leq \sup A\).
- The set defined as \(c+A = \{c + a : a \in A\}\) where \(c\) is a constant has a least upper bound equal to \(c + sup A\).
- [1.3.5] The set defined as \(cA = \{ca : a \in A\}\) where \(c \geq 0\) has \(\sup cA = c\sup A\).
- [1.3.6] The set defined as \(A + B = \{a + b: a \in A \text{ and } b \in B\}\) has \(\sup (A+B) = \sup A + \sup B\).
- [1.3.6] The set defined as \(A + B = \{a + b: a \in A \text{ and } b \in B\}\) has \(\sup (A+B) = \sup A + \sup B\) (Alternative Proof).
- [1.3.4] Let \(A\) and \(B\) be nonempty and bounded above. Find a formula for \(\sup (A \cup B)\) and prove that it is correct.
- [1.3.11] If \(A\) and \(B\) are nonempty and bounded sets of real numbers such that \(A \subseteq B\) then \(\inf B \leq \inf A \leq \sup A \leq \sup B\).
- Let \(A = \{x \in \mathbf{R}: x < 0\}\). Then \(\sup(A) = 0\).
- Show that \(\inf\big(\{\frac{1}{n}: n \in \mathbf{N}\} \big) = 0.\)
- Show that \(\sup\big(\{\frac{1}{n}: n \in \mathbf{N}\} \big) = 1.\)
Exercises
- Cardinality
- Sequences and Subsequences
- Sequences Definitions
- Show the Limit Template + Example \(\lim\big(\frac{1}{\sqrt{n}}\big)= 0\).
- [Uniqueness of Limits (2.2.7)] The limit of a sequence, when it exists must be unique.
- [Bounded Sequences (2.3.1)] A sequence \(x_n\) is bounded if there exists a number \(M > 0\) such that every term in the sequence \(|x_n| \leq M\) for all \(n \in \mathbf{N}\).
- [Convergent Sequences (2.3.2)] Every convergent sequence is bounded.
- [The Algebraic Limit Theorem (2.3.3)] (i) \(\lim (ca_n) = ca\) for all \(c \in \mathbf{R}\).
- [The Algebraic Limit Theorem (2.3.3)] (ii) \(\lim (a_n + b_n) = a + b\).
- [The Algebraic Limit Theorem (2.3.3)] (iii) \(\lim (a_nb_n) = ab\).
- [The Order Limit Theorem ((2.3.4)]
- [Monotone Convergence Theorem (2.4.2)] If a sequence is monotone and bounded, then it converges.
- Subsequences Definitions
- [Convergence of Subsequence (2.5.2)] Subsequences of a convergent sequence converge to the same limit as the original sequence.
- [Bolzano-Weierstrass Theorem (2.5.5)] Every bounded sequence contains a convergent subsequence.
- (2.6.3) Cauchy Sequences are Bounded
- Every convergent sequence is a Cauchy sequence
- [Cauchy Criterion (2.6.4)] A sequence converges if and only if it is a Cauchy sequence.
- Show that \(\lim\big(\frac{n+1}{n}\big)= 1\).
- Let \(x_n \geq 0\) for all \(n \in \mathbf{N}\). Show that if \((x_n) \longrightarrow x\), Then \((\sqrt{x_n}) \longrightarrow \sqrt{x}\).
- [Squeeze Theorem] Show that if \(x_n \leq y_n \leq z_n\) for all \(n \in \mathbf{N}\), and if \(\lim x_n = \lim z_n = l\), then \(\lim y_n = l\) as well.
- Show that if \((|x_n|) \rightarrow 0\) for all \(n \in \mathbf{N}\), then \(x_n \rightarrow 0\).
- Show that \((\sqrt{n + 1} - \sqrt{n})\) converges to 0.
- Prove that \(b > b^2 > b^3 > b^4 > ... > 0\) converges to 0 if \(0 < b < 1\). (Example of 2.5.2).
- A sequence \(a_n\) converges to \(a\) if and only if every subsequence of \(a_n\) also converges to \(a\).
- If two subsequences of \(a_n\) converge to different limits, or if any subsequences of \(a_n\) diverges then \(a_n\) diverges.
- Prove that \((a_n) = (-1)^n\) diverges.
Exercises
- Series
- Series Definitions
- (2.4.6) Cauchy Condensation Test
- (2.7.1) The Algebraic Limit Theorem for Series
- (2.7.2) Cauchy Criterion for Series
- (2.7.3) If the series \(\sum_{n=1}^{\infty} a_n\) converges then \((a_n) \rightarrow 0\).
- (2.7.4) Comparison Test for Series
- (2.7.5) The Geometric Series
- (2.7.6) [The Absolute Convergence Test] If the series \(\sum_{n=1}^{\infty}|a_n|\) converges, then \(\sum_{n=1}^{\infty} a_n\) converges as well.
- (2.7.7) The Alternating Series Test
- Topology of R
- Cantor Sets
- Open Sets
- Limit Points
- Closed Sets
- Prove that a set \(F \subseteq \mathbf{R}\) is closed if and only if it contains its limit points.
- Prove that a closed interval \([c,d] = \{c \leq x \leq d\}\) is a closed set.
- Closure
- (3.2.13) A set \(O\) is open if and only if \(O^c\) is closed. Likewise, a set \(F\) is closed if and only if \(F^c\) is open.
- Compact Sets
- (Theorem 3.3.4) [Characterization of Compactness in R] A set \(K \in \mathbf{R}\) is compact if and only if it is closed and bounded.
- (Theorem 3.3.5) [Nested Compact Set Property] If \( K_1 \supseteq K_2 \supseteq K_3 \supseteq K_4 \supseteq ...\) is a nested sequence of nonempty compact sets, then the intersection \(\bigcap_{n=1}^{\infty} K_n\) is not empty.
- Open Cover
- Perfect Sets