Files
NoteNextra-origin/pages/Math4111/Exam_reviews/Math4111_Final.md
2024-12-10 17:00:54 -06:00

4.2 KiB

Math 4111 Final Review

Weierstrass M-test

Let \sum_{n=1}^{\infty} f_n(x) be a series of functions.

The weierstrass M-test goes as follows:

  1. \exists M_n \geq 0 such that \forall x\in E, |f_n(x)| \leq M_n.
  2. \sum M_n converges.

Then \sum_{n=1}^{\infty} f_n(x) converges uniformly.

Example:

Ver.0

\forall x\in [-1,1),


\sum_{n=1}^{\infty} \frac{x^n}{n}

converges. (point-wise convergence on [-1,1))

\forall x\in [-1,1),


\left| \frac{x^n}{n} \right| \leq \frac{1}{n}

Since \sum_{n=1}^{\infty} \frac{1}{n} diverges, we don't know if the series converges uniformly or not using the weierstrass M-test.

Ver.1

However, if we consider the series on [-1,1],


\sum_{n=1}^{\infty} \frac{x^n}{n^2}

converges uniformly. Let M_n = \frac{1}{n^2}. This satisfies the weierstrass M-test. And this series converges uniformly on [-1,1].

Ver.2

\forall x\in [-\frac{1}{2},\frac{1}{2}],


\sum_{n=1}^{\infty} \frac{x^n}{n}

converges uniformly. Since \left| \frac{x^n}{n} \right|=\frac{|x|^n}{n}\leq \frac{(1/2)^n}{n}\leq \frac{1}{2^n}=M_n, by geometric series test, \sum_{n=1}^{\infty} M_n converges.

M-test still not applicable here.


\sum_{n=1}^{\infty} \frac{x^n}{n}

converges uniformly on [-\frac{1}{2},\frac{1}{2}].

Comparison test:

For a series \sum_{n=1}^{\infty} a_n, if

  1. \exists M_n such that |a_n|\leq M_n
  2. \sum_{n=1}^{\infty} M_n converges

Then \sum_{n=1}^{\infty} a_n converges.

Proving continuity of a function

If f:E\to Y is continuous at p\in E, then for any \epsilon>0, there exists \delta>0 such that for any x\in E, if |x-p|<\delta, then |f(x)-f(p)|<\epsilon.

Example:

Let f(x)=2x+1. For p=1, prove that f is continuous at p.

Let \epsilon>0 be given. Let \delta=\frac{\epsilon}{2}. Then for any x\in \mathbb{R}, if |x-1|<\delta, then


|f(x)-f(1)|=|2x+1-3|=|2x-2|=2|x-1|<2\delta=\epsilon.

Therefore, f is continuous at p=1.

You can also use smaller \delta and we don't need to find the "optimal" \delta.

Play of open covers

Example of non compact set:

\mathbb{Q} is not compact, we can construct an open cover G_n=(-\infty,\sqrt{2})\cup (\sqrt{2}+\frac{1}{n},\infty).

Every unbounded set is not compact, we construct an open cover G_n=(-n,n).

Every k-cell is compact.

Every finite set is compact.

Let p\in A and A is compact. Then A\backslash \{p\} is not compact, we can construct an open cover G_n=(\inf(A)-1,p)\cup (p+\frac{1}{n},\sup(A)+1).

If K is closed in X and X is compact, then K is compact.

Proof:

Let \{G_\alpha\}_{\alpha\in A} be an open cover of K.

A is open in X, if and only if X\backslash A is closed in X.

Since X\backslash K is opened in X, \{G_\alpha\}_{\alpha\in A}\cup \{X\backslash K\} is an open cover of X.

Since X is compact, there exists a finite subcover \{G_{\alpha_1},\cdots,G_{\alpha_n},X\backslash K\} of X.

Since X\backslash K is not in the subcover, \{G_{\alpha_1},\cdots,G_{\alpha_n}\} is a finite subcover of K.

Therefore, K is compact.

Cauchy criterion

In sequences

Def: A sequence \{a_n\} is Cauchy if for any \epsilon>0, there exists N such that for any m,n\geq N, |a_m-a_n|<\epsilon.

Theorem: In \mathbb{R}, every sequence is Cauchy if and only if it is convergent.

In series

Let s_n=\sum_{k=1}^{n} a_k.

Def: A series \sum_{n=1}^{\infty} a_n converges if the sequence of partial sums \{s_n\} converges.

\forall \epsilon>0, there exists N such that for any m>n\geq N,


|s_m-s_n|=\left|\sum_{k=n+1}^{m} a_k\right|<\epsilon.

Comparison test

If |a_n|\leq b_n and \sum_{n=1}^{\infty} b_n converges, then \sum_{n=1}^{\infty} a_n converges.

Proof:

Since \sum_{n=1}^{\infty} b_n converges, \forall \epsilon>0, there exists N such that for any m>n\geq N,


\left|\sum_{k=n+1}^{m} b_k\right|<\epsilon.

By triangle inequality,


\left|\sum_{k=n}^{m}a_k\right|\leq \sum_{k=n+1}^{m} |a_k|\leq \sum_{k=n+1}^{m} b_k<\epsilon.

Therefore, \forall \epsilon>0, there exists N such that for any m>n\geq N,


|s_m-s_n|=\left|\sum_{k=n+1}^{m} a_k\right|<\epsilon.

Therefore, \{s_n\} is Cauchy, and \sum_{n=1}^{\infty} a_n converges.