Week 1 - Sequences

Week 1 - Sequences #

Definition #

  • A sequence can be thought of as a list of numbers written in a definite order:
    • $a_1, a_2, a_3, a_4, \ldots , a_n, \ldots$

Notation #

  • The sequence ${a_1, a_2, a_3, \ldots}$ also denoted by
    • ${a_n}$ or ${a_n}_{n=1}^{\infty}$
      • $n \in \mathbb{N}$ (whole number)

Example: The Fibonacci Sequence #

  • Definition: ${f_n}$ is defined recursively by the conditions
    • $f_1 = 1$, $f_2 = 1$, $f_n = f_{n-1} + f_{n-2}$, $n \ge 3$

Different Ways to Present Sequence #

  • Two sequences $a_n$ and $b_n$ are equal if they begin at the same index N, and $a_n = b_n$ whenever $n \ge N$.
  • For example:
    • $a_n = 2^n\\ \text{for}\\ n \ge 0$
    • $b_0 = 1\\ \text{and}\\ b_n = 2 \cdot b_{n-1}$

Examples #

Tribonacci Sequence #

  • Definition: $a_0 = a_1 = a_2 = 1$, $a_n = a_{n-1} + a_{n-2} + a_{n-3}$
    • Samples: 1, 1, 1, 3, 5, 9, 17, 31, 57, 105, 193, 355
  • We can build a new sequence from this:
    • $b_n = \frac{a_n + 1}{a_n}$
    • Samples: $1, 1, 1, 3, \frac{5}{3}, \frac{9}{5}, \frac{17}{9}, \frac{31}{17}, \frac{57}{31}, \frac{105}{57}, \frac{193}{105}, \frac{355}{193}$
    • So $\displaystyle\lim_{n \to \infty} b_n = ?$

Arithmetic Progression #

  • Definition: An arithmetic progression is an sequence with a common difference between the terms.
  • Example: $5, 12, 19, 26, 33, \ldots : a_n = 5 + 7n$
  • Formula: $a_n = a_0 + d_n$
  • In a arithmetic progression, each term is the arithmetic mean of its neighbors.
    • arithmetic mean: $\displaystyle a_n = \frac{a_{n-1} + a_{n+1}}{2}$

Geometric Progression #

  • Definition: An geometric progression is an sequence with a common ratio between the terms.
  • Example: $3, 6, 12, 24, 48, 96, \ldots : a_n = 3 \cdot 2^n$
  • Formula: $a_n = a_0 \cdot r^n$
  • In a geometric progression, each term is the geometric mean of its neighbors.
    • geometric mean: $\displaystyle a_n = \sqrt{a_{n-1} a_{n+1}}$
      • for example, an area of a square with side length of $\sqrt{ab}$ is $ab$
  • $\displaystyle\lim_{n \to \infty} a_n$
    • if the common ratio > 1, then $\displaystyle\lim_{n \to \infty} a_n = \infty$
    • if the common ratio < 1, then $\displaystyle\lim_{n \to \infty} a_n = 0$

Limit of a Sequence #

  • Definition: $\displaystyle \lim_{n \to \infty} a_n = L$ means that, for every $\epsilon > 0$, there is a whole number N, so that, whenever $n \ge N$, $\lvert a_n - L \rvert < \epsilon$.

Sequence Bounded #

  • Definition:
    • $a_n$ is “bounded above” means there is a real number M, so that, for all $n \ge 0, a_n \le M$.
    • $a_n$ is “bounded below” means there is a real number M, so that, for all $n \ge 0, a_n \ge M$.
    • $a_n$ is “bounded” means $a_n$ is “bounded above” and “bounded below”.
  • Example:
    • $a_n = \sin n, -1 \le \sin n \le 1$. So $a_n$ bounded.
    • $b_n = n \cdot \sin(\frac{\pi \cdot n}{n})$, not bounded.

Sequence Increasing #

  • Definition:
    • A sequence ($a_n$) is increasing if whenever m > n, then $a_m > a_n$.
    • A sequence ($a_n$) is decreasing if whenever m > n, then $a_m < a_n$.
    • A sequence ($a_n$) is non-decreasing if whenever m > n, then $a_m \ge a_n$.
    • A sequence ($a_n$) is non-increasing if whenever m > n, then $a_m \le a_n$.

The Monotone Convergence Theorem #

  • Definition: If the sequence ($a_n$) is bounded and monotone, then $\displaystyle\lim_{n \to \infty} a_n$ exists.
  • Example: $a_1 = 1, a_{n+1} = \sqrt{a_n +2}$
    • To prove the limit of this sequence exists, we need to this sequence is
      • bounded: $0 \le a_n \le 2$
        • $0 \le a_{n+1} = \sqrt{2+2} = 2$
        • $0 \le a_1 \le 2 \implies 0 \le a_2 \le 2 \implies \ldots$
      • monotone(non-decreasing): $a_n \le a_{n+1}$
        • $a_n \le a_{n+1} = \sqrt{a_n + 2}$
        • $a_n^2 - a_n - 2 \ge 0$
        • $(2 - a_n)(1 + a_n) \ge 0$ which is true
    • So the limit of $a_n$ exists.

Extra #

A Sequence Includes Every Integer #

  • $$C_n = \begin{cases} -(n+1)/2 &\text{if } n\\ \text{odd} \\ n/2 &\text{if } n\\ \text{even} \end{cases}$$
    • Starting with index 0.
  • An infinite quantity is a quantity that won’t be smaller, when you take something away.
    • Like we take away the negative integers from all integers, which is still infinite.
  • Note: I’ve taken a similar course talked about it:

A Sequence Includes Every Real Number #

Words #

  • monotone function 单调函数;单弹数
  • monotone increasing 单调递增
  • monotone regression 单调回归
  • parity n. 平价;同等;相等
  • quantitative adj. 定量的;量的,数量的
  • qualitative adj. 定性的;质的,性质上的
  • quantitative and qualitative change 量变与质变