Determining Bounded and Monotonic Sequences
Introduction
In the study of calculus, particularly within the Collegeboard AP Calculus BC curriculum, understanding bounded and monotonic sequences is essential. These concepts not only facilitate the analysis of infinite sequences but also lay the groundwork for exploring series convergence and divergence. Mastery of boundedness and monotonicity equips students with the tools to rigorously evaluate limits and comprehend the behavior of functions as they extend towards infinity.
Key Concepts
Sequences: An Overview
A sequence is an ordered list of numbers that follow a specific pattern or rule. Formally, a sequence is a function whose domain is the set of natural numbers. Sequences can be finite or infinite, with infinite sequences being the primary focus in calculus due to their relevance in defining series and understanding limits.
Bounded Sequences
A sequence $\{a_n\}$ is said to be bounded if there exists a real number $M$ such that for all $n \in \mathbb{N}$, the absolute value of $a_n$ does not exceed $M$. Mathematically, this is expressed as:
$$|a_n| \leq M \quad \text{for all } n \in \mathbb{N}$$
Boundedness ensures that the sequence does not diverge to infinity or negative infinity. It is a crucial property when applying the Bolzano-Weierstrass Theorem, which guarantees that every bounded sequence has at least one convergent subsequence.
**Types of Bounded Sequences:**
1. **Upper Bounded:** There exists an $M$ such that $a_n \leq M$ for all $n$.
2. **Lower Bounded:** There exists an $m$ such that $a_n \geq m$ for all $n$.
3. **Absolutely Bounded:** There exists an $M$ where $|a_n| \leq M$ for all $n$.
**Examples:**
- The sequence $a_n = \frac{1}{n}$ is bounded since $0
Monotonic Sequences
A sequence $\{a_n\}$ is monotonic if it is entirely non-increasing or non-decreasing. Monotonicity provides insight into the convergence behavior of sequences.
**Types of Monotonic Sequences:**
1. **Monotonically Increasing:** For all $n \in \mathbb{N}$, $a_{n+1} \geq a_n$.
2. **Strictly Increasing:** For all $n \in \mathbb{N}$, $a_{n+1} > a_n$.
3. **Monotonically Decreasing:** For all $n \in \mathbb{N}$, $a_{n+1} \leq a_n$.
4. **Strictly Decreasing:** For all $n \in \mathbb{N}$, $a_{n+1}
Determining Boundedness
To determine if a sequence is bounded, identify constants that serve as upper and lower bounds. For instance, consider the sequence $a_n = \sin\left(\frac{n\pi}{2}\right)$. Since the sine function oscillates between -1 and 1, the sequence is bounded with $M = 1$.
**Steps to Determine Boundedness:**
1. **Identify the General Term:** Express the sequence in terms of $n$.
2. **Analyze the Behavior:** Consider the limit as $n \to \infty$ and the range of the terms.
3. **Find Bounds:** Determine constants that the sequence does not exceed in magnitude.
Determining Monotonicity
To ascertain if a sequence is monotonic, evaluate the difference $a_{n+1} - a_n$.
**Steps to Determine Monotonicity:**
1. **Compute the Difference:** Calculate $a_{n+1} - a_n$.
2. **Analyze the Sign:**
- If $a_{n+1} - a_n \geq 0$ for all $n$, the sequence is monotonically increasing.
- If $a_{n+1} - a_n \leq 0$ for all $n$, the sequence is monotonically decreasing.
3. **Consider Strict Inequalities:** If the inequalities are strict, the sequence is strictly monotonic.
**Example:**
Consider $a_n = \frac{n}{n+1}$. Compute:
$$a_{n+1} - a_n = \frac{n+1}{n+2} - \frac{n}{n+1} = \frac{(n+1)^2 - n(n+2)}{(n+1)(n+2)} = \frac{n^2 + 2n + 1 - n^2 - 2n}{(n+1)(n+2)} = \frac{1}{(n+1)(n+2)} > 0$$
Since $a_{n+1} - a_n > 0$ for all $n$, the sequence is monotonically increasing.
Convergence of Bounded and Monotonic Sequences
The Monotone Convergence Theorem states that every bounded monotonic sequence is convergent. This is pivotal in calculus, especially when evaluating the limits of sequences and series.
**Theorem (Monotone Convergence):**
If a sequence $\{a_n\}$ is monotonic and bounded, then it is convergent.
**Proof Outline:**
1. **Monotonically Increasing:** If the sequence is increasing and bounded above, it converges to its least upper bound (supremum).
2. **Monotonically Decreasing:** If the sequence is decreasing and bounded below, it converges to its greatest lower bound (infimum).
**Applications:**
- **Evaluating Limits:** Determining the limit of a sequence by establishing its boundedness and monotonicity.
- **Series Convergence:** Assessing the convergence of infinite series by analyzing the boundedness and behavior of their partial sums.
Examples and Applications
**Example 1: Bounded Monotonic Sequence**
Consider $a_n = \frac{1}{n}$.
- **Boundedness:** $0
Common Misconceptions
1. **All Bounded Sequences Converge:** This is false; boundedness alone does not guarantee convergence without monotonicity.
2. **Monotonic Sequences Are Always Bounded:** Not necessarily. A sequence can be monotonic but unbounded, leading to divergence.
3. **Strict Monotonicity Implies Boundedness:** Strict monotonicity only affects the behavior of the sequence but does not ensure boundedness.
Advanced Topics
**Cauchy Sequences:**
A sequence $\{a_n\}$ is a Cauchy sequence if for every $\epsilon > 0$, there exists an $N \in \mathbb{N}$ such that for all $m, n > N$, $|a_n - a_m| Comparison Table
Aspect |
Bounded Sequences |
Monotonic Sequences |
Definition |
Sequences confined within upper and/or lower limits |
Sequences that are entirely non-increasing or non-decreasing |
Convergence Guarantee |
No, unless combined with monotonicity |
Yes, if the sequence is also bounded |
Examples |
$a_n = \frac{1}{n}$, $a_n = (-1)^n$ |
$a_n = n$, $a_n = \frac{1}{n}$ |
Applications |
Bolzano-Weierstrass Theorem, determining subsequences |
Monotone Convergence Theorem, evaluating limits |
Key Properties |
Containness within bounds prevents divergence |
Single direction of movement aids in convergence proofs |
Summary and Key Takeaways
- Bounded sequences remain within specific limits, preventing unbounded growth.
- Monotonic sequences consistently increase or decrease, simplifying convergence analysis.
- The combination of boundedness and monotonicity ensures sequence convergence.
- Understanding these properties is fundamental for mastering infinite series and calculus concepts.