Real Variables Midterm 1 Complete Study Guide

Midterm 1 Overview and Format

  • Date and Duration: Wednesday, October 7, held in class, with a total duration of 100 minutes.

  • Exam Structure and Content Categories:

    1. Definitions

    2. Examples

    3. True / False Questions

    4. Proofs

    5. Proofs

    6. Determining A∘A^\circ, A′A', and Aˉ\bar{A}

    7. Cesàro–Stolz Theorem

    8. Increasing/Decreasing and Bounded Sequences

    9. Metric space proofs and verification

    10. Limit proofs using the ϵ,nϵ\epsilon, n_\epsilon definition

Set Theory Definitions and Properties

  • Context: Let A,B⊆XA, B \subseteq X.

  • Core Set Operations:

    • Union: A∪B={x∈X∣x∈A or x∈B}A \cup B = \{x \in X \mid x \in A \text{ or } x \in B\}

    • Intersection: A∩B={x∈X∣x∈A and x∈B}A \cap B = \{x \in X \mid x \in A \text{ and } x \in B\}

    • Complement: CA=Ac={x∈X∣x∉A}CA = A^c = \{x \in X \mid x \notin A\}

    • Set Difference: A∖B={x∈A and x∉B}A \setminus B = \{x \in A \text{ and } x \notin B\}

  • Fundamental Inclusion Properties:

    1. A⊆A∪BA \subseteq A \cup B and B⊆A∪BB \subseteq A \cup B

    2. A∩B⊆AA \cap B \subseteq A and A∩B⊆BA \cap B \subseteq B

  • De Morgan's Laws:

    1. (A∪B)c=Ac∩Bc(A \cup B)^c = A^c \cap B^c

    2. (A∩B)c=Ac∪Bc(A \cap B)^c = A^c \cup B^c

Order Relations and Real Number Properties

  • Definition of Order Relation: A binary relation RR on a set XX is an order relation if it satisfies three condition:

    1. Reflexivity: xRxx R x for all x∈Xx \in X

    2. Antisymmetry: If xRyx R y and yRxy R x, then x=yx = y

    3. Transitivity: If xRyx R y and yRzy R z, then xRzx R z

  • Upper and Lower Bounds:

    • Upper Bound: α\alpha is an upper bound for A⊆XA \subseteq X if ∀x∈A\forall x \in A, x≤αx \le \alpha.

    • Lower Bound: β\beta is a lower bound for A⊆XA \subseteq X if ∀x∈A\forall x \in A, β≤x\beta \le x.

    • Supremum (Least Upper Bound): α=sup⁡(A)\alpha = \sup(A).

    • Infimum (Greatest Lower Bound): β=inf⁡(A)\beta = \inf(A).

  • Precise Characterization of Supremum and Infimum in R\mathbb{R}:

    • α=sup⁡(A)\alpha = \sup(A) if and only if:

    1. ∀x∈A\forall x \in A, x≤αx \le \alpha

    2. ∀ϵ>0\forall \epsilon > 0, ∃xϵ∈A\exists x_\epsilon \in A such that xϵ>α−ϵx_\epsilon > \alpha - \epsilon

    • β=inf⁡(A)\beta = \inf(A) if and only if:

    1. ∀x∈A\forall x \in A, x≥βx \ge \beta

    2. ∀ϵ>0\forall \epsilon > 0, ∃xϵ∈A\exists x_\epsilon \in A such that xϵ<β+ϵx_\epsilon < \beta + \epsilon

  • Archimedean Property (A.P.):

    • General Form: ∀x>0\forall x > 0 and ∀y∈R\forall y \in \mathbb{R}, ∃n∈N∖{0}\exists n \in \mathbb{N} \setminus \{0\} such that nx>ynx > y

    • Special Case (x=1x = 1): ∀y∈R\forall y \in \mathbb{R}, ∃n∈N∖{0}\exists n \in \mathbb{N} \setminus \{0\} such that n>yn > y

    • Special Case (Reciprocal): ∀x>0\forall x > 0, ∃n∈N∖{0}\exists n \in \mathbb{N} \setminus \{0\} such that x>1nx > \frac{1}{n}

    • Integer Interval Corollary: ∀y∈R\forall y \in \mathbb{R}, ∃n∈Z\exists n \in \mathbb{Z} such that n≤y<n+1n \le y < n + 1

  • Density Properties:

    • Rational Density: Q\mathbb{Q} is dense in R\mathbb{R}, meaning ∀x,y∈R\forall x, y \in \mathbb{R} with x<yx < y, ∃z∈Q\exists z \in \mathbb{Q} such that x<z<yx < z < y

    • Irrational Density: I\mathbb{I} is dense in R\mathbb{R}, meaning $forall x, y \in \mathbb{R}withwithx < y,,\exists s \in \mathbb{I}suchthatsuch thatx < s < y (requires proof)\n\n\n# Cardinality\n\n* Definitions:\n * Cardinality Equivalence: \text{card}(A) = {B \subset \mathbb{R} \mid \exists \text{ bijection } f : B \rightarrow A}\n * Initial Segment of Natural Numbers: \mathbb{N}n = {1, 2, \dots, n}withwith\text{card}(\mathbb{N}_n) = n\n * Finite Set: Aisfiniteifis finite ifA \sim \mathbb{N}_n(thereexistsabijectivemapping(there exists a bijective mappingf : A \rightarrow \mathbb{N}_n)\n * Countable Set: \text{card}(\mathbb{N}) = \aleph_0..Aiscountableifis countable ifA \sim \mathbb{N}(thereexistsabijectivemapping(there exists a bijective mappingf : A \rightarrow \mathbb{N})\n * Uncountable Set: Aisuncountableifis uncountable ifA is neither finite nor countable\n* Examples of Cardinalities:\n * Countable Sets: \mathbb{N},,\mathbb{Q},,\mathbb{Z},,\mathbb{N} \times \mathbb{N},andsequencespaces., and sequence spaces.\text{card}(\mathbb{N} \times \mathbb{N}) = \aleph_0\n * Uncountable Sets: Real intervals [a, b],,\mathbb{R},irrationalnumbers, irrational numbers\mathbb{I},complexnumbers, complex numbers\mathbb{C},andtheCantorset., and the Cantor set.\text{card}(\mathbb{R}) = \mathfrak{c}\n* Cardinality Properties:\n 1. Every infinite set contains a countable subset.\n 2. If AandandBarecountable,thentheirCartesianproductare countable, then their Cartesian productA \times B is countable.\n 3. If A_iiscountableforeachis countable for eachi \in \mathbb{N},thenthecountableunion, then the countable union\bigcup{i=1}^{\infty} A_i is countable.\n 4. Cardinality Hierarchy: \mathbb{N}n \subset \mathbb{N} \subset \mathbb{R} \implies n < \aleph_0 < \mathfrak{c}\n 5. Monotonicity of Cardinality: If A \subseteq B \implies \text{card}(A) \le \text{card}(B)\n\n\n# Metric Spaces\n\n* Metric Definition: A function d : X \times X \rightarrow \mathbb{R}^+isametriconis a metric onX if it satisfies:\n 1. Symmetry: d(x, y) = d(y, x)\n 2. Identity of Indiscernibles: d(x, y) = 0 \iff x = y\n 3. Triangle Inequality: d(x, z) \le d(x, y) + d(y, z)\n* Examples of Metric Spaces:\n * Standard Metric in \mathbb{R}::d(x, y) = |x - y|\n * Metrics in \mathbb{R}^n:\n * Euclidean Metric: d(x, y) = \sqrt{\sum{i=1}^{n} (x_i - y_i)^2}\n * Maximum Metric: d(x, y) = \max_{1 \le i \le n} |x_i - y_i|\n * Sum Metric (Taxicab Metric): d(x, y) = \sum_{i=1}^{n} |x_i - y_i|\n * Discrete Metric: d(x, y) = 1ififx eq y,and, andd(x, y) = 0ififx = y\n* Open and Closed Balls:\n * Open Ball: B(x, r) = {y \in X \mid d(x, y) < r}\n * Closed Ball: S(x, r) = {y \in X \mid d(x, y) \le r}\n\n\n# Open, Closed, Interior, Closure, and Limit Points\n\n* Open and Closed Sets:\n * A \subseteq (X, d)isopenifis open if\forall x \in A,,\exists B(x, r) \subseteq A\n * A \subseteq (X, d)isclosedifitscomplementis closed if its complementA^c = X \setminus A is open\n * Examples of Open Sets: (a, b),,(0, \infty),,\mathbb{R}\n * Examples of Closed Sets: [a, b],,[a, \infty),,\mathbb{R}, finite sets\n* Fundamental Structural Properties:\n 1. Any finite set is closed (requires proof).\n 2. Arbitrary Union of Open Sets: If A_iisopen,thenis open, then\bigcup_{i=1}^{\infty} A_i is open.\n 3. Finite Intersection of Open Sets: \bigcap_{i=1}^{n} A_i is open.\n 4. Arbitrary Intersection of Closed Sets: If B_iisclosed,thenis closed, then\bigcap_{i=1}^{\infty} B_i is closed.\n 5. Finite Union of Closed Sets: \bigcup_{i=1}^{n} B_i is closed.\n* Interior Points:\n * Definition: x \in Aisaninteriorpointifis an interior point if\exists B(x, r) \subseteq A.\n * Properties of Interior A^\circ:\n * A^\circ \subseteq A\n * A \subseteq B \implies A^\circ \subseteq B^\circ\n * A^\circ is an open set\n * Aisopenis open\iff A = A^\circ\n * Examples of Interior:\n * (a, b]^\circ = (a, b)\n * \mathbb{Q}^\circ = \emptyset\n * \mathbb{R}^\circ = \mathbb{R}\n * \mathbb{N}^\circ = \emptyset\n* Closure Points:\n * Definition: x \in Xisaclosurepointifforanyis a closure point if for anyr > 0,,B(x, r) \cap A eq \emptyset.\n * Properties of Closure \bar{A}:\n * A \subseteq \bar{A}\n * A \subseteq B \implies \bar{A} \subseteq \bar{B}\n * \bar{A} is a closed set\n * Aisclosedis closed\iff A = \bar{A}\n * Examples of Closure:\n * \overline{(a, b)} = [a, b]\n * \bar{\mathbb{Q}} = \mathbb{R}\n * \bar{\mathbb{I}} = \mathbb{R}\n * \bar{\mathbb{R}} = \mathbb{R}\n * Complement Identities:\n * (A^\circ)^c = \overline{A^c}\n * (\bar{A})^c = (A^c)^\circ\n* Limit Points:\n * Definition: x \in Xisalimitpointifforanyis a limit point if for anyr > 0,,(B(x, r) \setminus {x}) \cap A eq \emptyset\n * Properties of Limit Sets A':\n * A' \subseteq A\n * A \subseteq B \implies A' \subseteq B'\n * Fundamental Identity (PROOF): \bar{A} = A \cup A'\n * Infinitude Property: x \in A' \iffeveryneighborhoodofevery neighborhood ofxcontainsinfinitelymanypointsofcontains infinitely many points ofA\n * Finite Set Property: Afinitefinite\implies A' = \emptyset\n * Closed Set Criterion: Aclosedclosed\iff A' \subseteq A\n * Examples of Limit Sets:\n * \mathbb{Q}' = \mathbb{R}\n * \mathbb{N}' = \emptyset\n * (a, b)' = [a, b]\n * Sets with no limit points: Any finite set\n* Comprehensive Worked Example:\n * Target Set: A = {1 + \frac{1}{n} \mid n \ge 1} = {2, 1 + \frac{1}{2}, 1 + \frac{1}{3}, \dots}\n * Step 1: Finding A^\circ\n * Let \frac{3}{2} \in A.Thereisnoopenball. There is no open ball(\frac{3}{2} - \epsilon, \frac{3}{2} + \epsilon) \subset Abecauseeveryrealintervalcontainsirrationalnumberswhicharenotinbecause every real interval contains irrational numbers which are not inA.Thus. ThusA^\circ = \emptyset.\n * Alternative Proof: A \subset \mathbb{Q} \implies A^\circ \subseteq \mathbb{Q}^\circ = \emptyset \implies A^\circ = \emptyset\n * Step 2: Finding A'\n * Sequence limit: \lim_{n \rightarrow \infty} (1 + \frac{1}{n}) = 1\n * Claim: A' = {1}\n * Proof of Claim: Any punctured neighborhood ((1 - \epsilon, 1 + \epsilon) \setminus {1}) \cap A eq \emptyset \iffthereexiststhere exists1 + \frac{1}{n}suchthatsuch that1 + \frac{1}{n} \in (1 - \epsilon, 1 + \epsilon) \iffthereexiststhere exists\frac{1}{n}suchthatsuch that-\epsilon < \frac{1}{n} < \epsilon. This is strictly guaranteed by the Archimedean Property.\n * Step 3: Finding \bar{A}\n * \bar{A} = A \cup A' = {1 + \frac{1}{n} \mid n \ge 1} \cup {1}\n\n\n# Bounded Sets\n\n* Definition: A set A \subseteq (X, d) is bounded if its diameter is finite:\n\delta(A) = \sup_{x,y \in A} d(x, y) < \infty\n* Ball Inclusion Criterion: Aisboundedifandonlyifis bounded if and only ifA \subseteq B(x, r)forsomefor somex \in Xandandr > 0.\n\n\n# Compact Sets\n\n* Definition: A set Aiscompactifeveryopencoverofis compact if every open cover ofA has a finite subcover:\nA \subseteq \bigcup D_i \implies A \subseteq \bigcup_{i=1}^{n} D_i\n* Fundamental Properties:\n 1. Any finite set is compact (requires proof).\n 2. Acompactcompact\implies Aisclosedandboundedinis closed and bounded in(X, d).\n 3. Any closed subset of a compact space (X, d) is compact.\n 4. Heine–Borel Theorem: In \mathbb{R}^n,,Aiscompactis compact\iff A is closed and bounded.\n* Examples:\n * Closed bounded interval [a, b] is compact.\n * Finite set {1, 2} is compact.\n * Properties of \mathbb{R}::\mathbb{R} is open, closed, unbounded, not compact, connected, complete, and uncountable.\n\n\n# Connected Sets\n\n* Definition for Space (X, d)::(X, d)isconnectediftherearenonon−emptyopen/closedsetsis connected if there are no non-empty open/closed setsD_1, D_2suchthatsuch thatX = D_1 \cup D_2andandD_1 \cap D_2 = \emptyset\n* Definition for Subset A \subseteq (X, d)::Aisconnectediftherearenoopen/closedsetsis connected if there are no open/closed setsD_1, D_2 satisfying:\n 1. A \subseteq D_1 \cup D_2\n 2. A \cap D_1 eq \emptyset\n 3. A \cap D_2 eq \emptyset\n 4. A \cap D_1 \cap D_2 = \emptyset\n* Properties:\n * In \mathbb{R},,Aisconnectedis connected\iff A is an interval.\n * Examples: (a, b)isconnected;is connected;(1, 2) \cup (3, 4) is not connected.\n * Closure Property: If Aisconnected,thenis connected, then\bar{A} is connected.\n\n\n# Sequences and Convergence\n\n* Convergence Definition in Metric Spaces: x_n \rightarrow x_0 \iff \forall \epsilon > 0, \exists n_\epsilonsuchthatsuch that\forall n \ge n_\epsilon, d(x_n, x_0) < \epsilon\n* Convergence Definition in \mathbb{R}::x_n \rightarrow x_0 \iff \forall \epsilon > 0, \exists n_\epsilonsuchthatsuch that\forall n \ge n_\epsilon, |x_n - x_0| < \epsilon\n* General Properties:\n 1. x_nconvergentconvergent\implies x_nbounded(bounded (m \le x_n \le M).\n 2. Limits in metric spaces are unique.\n 3. Sequential Closure Characterization (PROOF): x \in \bar{A} \iff \exists (x_n) \subseteq Asuchthatsuch thatx_n \rightarrow x\n* Monotone Sequences:\n * Definitions:\n * Increasing: x_{n+1} \ge x_n,whichisequivalentto, which is equivalent tox_{n+1} - x_n \ge 0\n * Decreasing: x_{n+1} \le x_n,whichisequivalentto, which is equivalent tox_{n+1} - x_n \le 0\n * Monotonicity via Ratios (for x_n > 0):\n * If \frac{x_{n+1}}{x_n} > 1 \implies x_n is increasing\n * If \frac{x_{n+1}}{x_n} < 1 \implies x_n is decreasing\n * Monotone Convergence Theorems:\n 1. Monotone Convergence for Supremum (PROOF): If x_nisincreasingandboundedaboveis increasing and bounded above\implies \lim_{n \rightarrow \infty} x_n = \sup(x_n)\n 2. Monotone Convergence for Infimum: If x_nisdecreasingandboundedbelowis decreasing and bounded below\implies \lim_{n \rightarrow \infty} x_n = \inf(x_n)\n 3. Unbounded Increasing Sequence: If x_nisincreasingandunboundedaboveis increasing and unbounded above\implies x_n \rightarrow \infty\n 4. Unbounded Decreasing Sequence: If x_nisdecreasingandunboundedbelowis decreasing and unbounded below\implies x_n \rightarrow -\infty\n\n\n# Cesàro–Stolz Theorem\n\n* Theorem Statement: If b_nisstrictlyincreasingandis strictly increasing andb_n \rightarrow \infty, then:\n\lim_{n \rightarrow \infty} \frac{a_{n+1} - a_n}{b_{n+1} - b_n} = L \implies \lim_{n \rightarrow \infty} \frac{a_n}{b_n} = L\n* Worked Problem Example:\n * Compute: \lim_{n \rightarrow \infty} \frac{\frac{1}{\ln(2)} + \dots + \frac{1}{\ln(n)}}{n}\n * Set a_n = \frac{1}{\ln(2)} + \dots + \frac{1}{\ln(n)}andandb_n = n.\n * Note that b_n = nisstrictlyincreasingandis strictly increasing andb_n \rightarrow \infty.\n * Apply difference ratio:\n\lim_{n \rightarrow \infty} \frac{\left(\frac{1}{\ln(2)} + \dots + \frac{1}{\ln(n+1)}\right) - \left(\frac{1}{\ln(2)} + \dots + \frac{1}{\ln(n)}\right)}{(n + 1) - n} = \lim_{n \rightarrow \infty} \frac{1}{\ln(n+1)} = 0\n * Conclusion: By Cesàro–Stolz Theorem, \lim_{n \rightarrow \infty} \frac{\frac{1}{\ln(2)} + \dots + \frac{1}{\ln(n)}}{n} = 0\n\n\n# Epsilon-Limit Proof Techniques\n\n* Worked Problem Example: Show that \lim_{n \rightarrow \infty} \frac{2n + 1}{3n + 5} = \frac{2}{3}.\n* Goal: Show that for any \epsilon > 0,thereexists, there existsn_\epsilonsuchthatforallsuch that for alln > n_\epsilon,\n\left|\frac{2n + 1}{3n + 5} - \frac{2}{3}\right| < \epsilon\n* Step-by-Step Algebraic Simplification:\n\left|\frac{2n + 1}{3n + 5} - \frac{2}{3}\right| = \left|\frac{6n + 3 - 6n - 10}{3(3n + 5)}\right| = \left|\frac{-7}{3(3n + 5)}\right| = \frac{7}{3(3n + 5)}\n* Setting up inequality to solve for n:\n\frac{7}{3(3n + 5)} < \epsilon\n3(3n + 5) > \frac{7}{\epsilon}\n9n + 15 > \frac{7}{\epsilon}\nn > \frac{1}{3} \left(\frac{7}{3\epsilon} - 5\right)\n* Selection of threshold n_\epsilon:Set: Setn_\epsilon = \tilde{n},where, wheren > \tilde{n} > \frac{1}{3} \left(\frac{7}{3\epsilon} - 5\right), guaranteed to exist by the Archimedean Property.\n\n\n# Metric Verification Methods\n\n* Verification Procedure: To confirm a candidate function disametriconasetis a metric on a setX, rigorously test all 3 required definition parts:\n 1. Verify Symmetry: Check that d(x, y) = d(y, x)forallfor allx, y \in X\n 2. Verify Identity of Indiscernibles: Check that d(x, y) = 0 \iff x = y\n 3. Verify Triangle Inequality: Check that d(x, z) \le d(x, y) + d(y, z)forallfor allx, y, z \in X$$