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We'll have the following present:
- 43 - Junseong started it (great job). Anyone can complete it. It's open for Monday.
- 47 - Joey
- 48 - Connor
The following students were absent:
Definition (Domain And Codomain)
Let $A$ and $B$ be sets and let $f$ be a function from $A$ into $B$, so we have $f:A\to B$.
- We call the set $A$ the domain of $f$.
- We call the set $B$ the codomain of $f$.
Definition (Injective, Surjective, And Bijective)
Let $D$ and $R$ be sets and let $f$ be a function from $D$ into $R$, so we have $f:D\to R$.
- We say that $f$ is injective (or one-to-one) if and only if for every $a,b\in D$ we have $f(a)=f(b)$ implies $a=b$.
- We say that $f$ is surjective (or onto) if and only if for every $y\in R$ there exists an $x\in D$ such that $y=f(x)$.
- We say that $f$ is bijective if and only if the function $f$ is both injective and surjective.
Problem 43: (Practice With Injective And Surjective)
For each function below, state the domain and codomain, determine if the function is injective, and then determine if the function is surjective.
- Let $f:\mathbb{R}\to\mathbb{R}$ be defined by $f(x)=x^2$.
- Let $f:[0,\infty)\to\mathbb{R}$ be defined by $f(x)=x^2$.
- Let $f:\mathbb{R}\to [0,\infty)$ be defined by $f(x)=x^2$.
- Let $f:[0,\infty)\to[0,\infty)$ be defined by $f(x)=x^2$.
As always, remember to justify each claim you make.
Definition (Epsilon Neighborhoods And Deleted Neighborhoods)
Given $\varepsilon>0$, an $\varepsilon$-neighborhood of the real number $x$ is the interval $$N_{\varepsilon}(x) = (x-\varepsilon,x+\varepsilon) = \{y\in \mathbb{R}\colon |x-y|<\varepsilon\}.$$ A deleted $\varepsilon$-neighborhood of $x$ is the same interval minus the point $x$, which we'll write as $$N^*_{\varepsilon}(x) = N_{\varepsilon}(x)\setminus\{x\} = (x-\varepsilon,x)\cup(x,x+\varepsilon) = \{y\in \mathbb{R}\colon 0<|x-y|<\varepsilon\}.$$
Definition (Interior Point, Open Set, Closed Set)
Let $S\subseteq \mathbb{R}$.
- We say that $x$ is an interior point of $S$ if and only if there exists an $\varepsilon>0$ such that $N_\varepsilon(x)\subseteq S$.
- The interior of $S$ is the collection of interior points of $S$.
- We say that $S$ is an open set if and only if for every $x\in S$ there exists an $\varepsilon>0$ such that $N_\varepsilon(x)\subseteq S$ (so every point in $S$ is an interior point, or equivalently $S$ equals the interior of $S$).
- We say that $S$ is a closed set if and only if the complement $\mathbb{R}\setminus S$ is open.
Problem 47: (Open Intervals Are Open Sets)
Prove that if $a$ and $b$ are real numbers such that $a<b$, then the interval $S=(a,b)$ is an open set.
Problem 48: (Closed Intervals Are Closed Sets)
Prove that if $a$ and $b$ are real numbers such that $a<b$, then the interval $ S=[a,b] $ is a closed set.
- Lower and upper bounds for a set.
- Infimum and supremum of a set.
- Limit points of a set.
- Showing two sets are equal by showing each is a subset of the other.
- The principle of mathematical induction.
- Truth tables and logically equivalent statements. Negations of statements.
- Implication, converse, inverse, contrapositive.
- Union, intersection, of two sets, as well as lots of properties related to them.
- Relation between limit points and subsets, as well as relationship between subsets and infimums.
- The quantifiers $\forall$ and $\exists$. Order matters, and negating them.
- Relationship between max and sup.
- Set complements and cartesian products, as well as lots of properties related to them.
- Lots of problems has you practice using $\forall$ and $\exists$, often without you even noticing it. We've seen lots of definitions given using these quantifiers (lower bound, infimum, upper bound, supremum, limit point, function, injective, surjective, open set, limit of a sequence, periodic, etc.) I strongly suggest you practice writing the definition of each of these words using these quantifiers. Then write the negation of each definition, using these quantifiers. You should be able to do this flawlessly by the end of the semester. If you practice doing it now, and ask for feedback on how you are doing, you'll get there and be completely ready for real analysis.
For more problems, see AllProblems