3.1 Monotone Sequences and Their Properties

4 min readjuly 30, 2024

Monotone sequences are like predictable friends - they always move in the same direction. They come in four flavors: increasing, decreasing, , and . Understanding these sequences helps us grasp how they behave and where they're headed.

The cool thing about monotone sequences is that if they're bounded, they always converge. This means they settle down to a specific value as we keep going. It's a powerful tool for proving without actually finding the exact .

Monotone sequences and their types

Definition and classification of monotone sequences

  • A sequence {an}\{a_n\} is monotone if it maintains a consistent order relation between consecutive terms for all nNn \in \mathbb{N}
    • The four types of monotone sequences are increasing, decreasing, non-increasing, and non-decreasing
    • Strictly monotone sequences (an<an+1a_n < a_{n+1} or an>an+1a_n > a_{n+1}) are either increasing or decreasing
    • Non-strictly monotone sequences (anan+1a_n \leq a_{n+1} or anan+1a_n \geq a_{n+1}) are either non-increasing or non-decreasing

Definitions and examples of each type of monotone sequence

  • A sequence {an}\{a_n\} is increasing if an<an+1a_n < a_{n+1} for all nNn \in \mathbb{N}
    • Example: the sequence {1,2,3,4,...}\{1, 2, 3, 4, ...\} is increasing
    • Example: the sequence {1/n}\{1/n\} for nNn \in \mathbb{N} is increasing
  • A sequence {an}\{a_n\} is decreasing if an>an+1a_n > a_{n+1} for all nNn \in \mathbb{N}
    • Example: the sequence {10,9,8,7,...}\{10, 9, 8, 7, ...\} is decreasing
    • Example: the sequence {1/n2}\{1/n^2\} for nNn \in \mathbb{N} is decreasing
  • A sequence {an}\{a_n\} is non-increasing if anan+1a_n \geq a_{n+1} for all nNn \in \mathbb{N}
    • Example: the sequence {5,5,4,4,3,3,...}\{5, 5, 4, 4, 3, 3, ...\} is non-increasing
    • Example: the sequence {1+1/n}\{1 + 1/n\} for nNn \in \mathbb{N} is non-increasing
  • A sequence {an}\{a_n\} is non-decreasing if anan+1a_n \leq a_{n+1} for all nNn \in \mathbb{N}
    • Example: the sequence {1,1,2,2,3,3,...}\{1, 1, 2, 2, 3, 3, ...\} is non-decreasing
    • Example: the sequence {11/n}\{1 - 1/n\} for nNn \in \mathbb{N} is non-decreasing

Properties of monotone sequences

Boundedness of monotone sequences

  • Every monotone sequence is bounded
    • An increasing sequence is bounded below by its first term and above by any subsequent term
      • Example: the sequence {1,2,3,4,...}\{1, 2, 3, 4, ...\} is bounded below by 1 and above by any term in the sequence
    • A decreasing sequence is bounded above by its first term and below by any subsequent term
      • Example: the sequence {10,9,8,7,...}\{10, 9, 8, 7, ...\} is bounded above by 10 and below by any term in the sequence
  • The of monotone sequences is a crucial property for proving convergence

Convergence of bounded monotone sequences

  • Every bounded monotone sequence converges
    • For an increasing sequence {an}\{a_n\} bounded above by MM, the limit L=sup{an:nN}L = \sup\{a_n: n \in \mathbb{N}\} exists, and limnan=L\lim_{n \to \infty} a_n = L
      • Example: the sequence {11/n}\{1 - 1/n\} for nNn \in \mathbb{N} is increasing and bounded above by 1, so it converges to 1
    • For a decreasing sequence {an}\{a_n\} bounded below by mm, the limit L=inf{an:nN}L = \inf\{a_n: n \in \mathbb{N}\} exists, and limnan=L\lim_{n \to \infty} a_n = L
      • Example: the sequence {1/n}\{1/n\} for nNn \in \mathbb{N} is decreasing and bounded below by 0, so it converges to 0
  • The limit of a convergent monotone sequence is unique

Monotonicity and limits of sequences

Determining monotonicity and finding limits

  • To determine the monotonicity of a sequence, compare consecutive terms using the definitions of increasing, decreasing, non-increasing, and non-decreasing sequences
    • Example: for the sequence {an}={1/n}\{a_n\} = \{1/n\}, compare ana_n and an+1a_{n+1} to show that 1/n>1/(n+1)1/n > 1/(n+1) for all nNn \in \mathbb{N}, proving that the sequence is decreasing
  • If a sequence is monotone and bounded, it converges to a limit LL
    • Example: the sequence {1/n}\{1/n\} is decreasing and bounded below by 0, so it converges to a limit L=0L = 0
  • To find the limit of a monotone sequence, use algebraic manipulation, the Squeeze Theorem, or the definition of the limit
    • Example: to find the limit of {1/n}\{1/n\}, use the Squeeze Theorem with the sequences {0}\{0\} and {1/n}\{1/n\} to show that limn1/n=0\lim_{n \to \infty} 1/n = 0

Divergence of unbounded monotone sequences

  • If a monotone sequence is unbounded, it diverges to either \infty or -\infty, depending on whether it is increasing or decreasing, respectively
    • Example: the sequence {n}\{n\} is increasing and unbounded, so it diverges to \infty
    • Example: the sequence {n}\{-n\} is decreasing and unbounded, so it diverges to -\infty

Monotone Convergence Theorem

Statement and application of the theorem

  • The states that every bounded monotone sequence converges
  • To apply the Monotone Convergence Theorem:
    1. Prove that the sequence is monotone (increasing, decreasing, non-increasing, or non-decreasing)
    2. Prove that the sequence is bounded (find a lower or upper bound, depending on the monotonicity)
    3. Conclude that the sequence converges by the Monotone Convergence Theorem
  • The Monotone Convergence Theorem can be used to prove the convergence of sequences without explicitly finding the limit
    • Example: to prove that the sequence {(1+1/n)n}\{(1 + 1/n)^n\} converges, show that it is increasing and bounded above by ee, then apply the Monotone Convergence Theorem

Examples of using the theorem to prove convergence

  • Example: prove that the sequence {an}={11/n2}\{a_n\} = \{1 - 1/n^2\} converges
    1. Show that {an}\{a_n\} is increasing: an+1an=1/(n2(n+1)2)>0a_{n+1} - a_n = 1/(n^2(n+1)^2) > 0 for all nNn \in \mathbb{N}
    2. Show that {an}\{a_n\} is bounded above by 1: an=11/n2<1a_n = 1 - 1/n^2 < 1 for all nNn \in \mathbb{N}
    3. Apply the Monotone Convergence Theorem to conclude that {an}\{a_n\} converges
  • Example: prove that the sequence {bn}={n/(n+1)}\{b_n\} = \{n/(n+1)\} converges
    1. Show that {bn}\{b_n\} is increasing: bn+1bn=1/((n+1)(n+2))>0b_{n+1} - b_n = 1/((n+1)(n+2)) > 0 for all nNn \in \mathbb{N}
    2. Show that {bn}\{b_n\} is bounded above by 1: bn=n/(n+1)<1b_n = n/(n+1) < 1 for all nNn \in \mathbb{N}
    3. Apply the Monotone Convergence Theorem to conclude that {bn}\{b_n\} converges

Key Terms to Review (20)

Arithmetic sequence: An arithmetic sequence is a list of numbers in which the difference between consecutive terms is constant. This common difference can be positive, negative, or zero, and it plays a crucial role in determining the behavior of the sequence as it progresses. Understanding arithmetic sequences helps to analyze their monotonic properties, limits, and foundational aspects of sequences more broadly.
Augustin-Louis Cauchy: Augustin-Louis Cauchy was a French mathematician whose work laid the groundwork for modern analysis, particularly in the study of limits, continuity, and integrals. His contributions, including the formalization of the concept of a limit and the development of the Riemann integral, have had a profound impact on mathematical analysis and are foundational to various important results and theorems.
Bernhard Riemann: Bernhard Riemann was a German mathematician whose work laid the foundations for several important areas in mathematics, particularly in analysis and geometry. He is best known for his contributions to the concept of integration, which is crucial for understanding how to calculate areas under curves and the behavior of functions. His ideas extend to the convergence of sequences and series, providing essential tools for studying continuity and differentiability.
Bolzano-Weierstrass Theorem: The Bolzano-Weierstrass Theorem states that every bounded sequence in $b{R}^n$ has a convergent subsequence whose limit lies within the same space. This theorem is fundamental in understanding the properties of sequences and functions, particularly in the context of continuity and optimization.
Boundedness: Boundedness refers to the property of a set or function being contained within specific limits. It means that there exists a number that serves as an upper and lower limit, ensuring that all elements stay within this range. Understanding boundedness is essential for analyzing various mathematical concepts, as it relates to integrability, continuity, and convergence, providing crucial insights into the behavior of functions and sequences.
Cauchy sequence: A Cauchy sequence is a sequence of numbers where, for every positive number ε, there exists a natural number N such that for all m, n greater than N, the distance between the m-th and n-th terms is less than ε. This property essentially means that the terms of the sequence become arbitrarily close to each other as the sequence progresses, which is crucial in discussing convergence and completeness in mathematical analysis.
Convergence: Convergence refers to the property of a sequence or function approaching a limit as the index or input approaches some value. It plays a critical role in understanding the behavior of sequences and functions, ensuring that we can analyze their stability and predict their long-term behavior. Convergence helps establish connections between various mathematical concepts, especially in understanding how approximations relate to actual values, and is fundamental in calculus and analysis.
Graph of a monotone function: The graph of a monotone function is a visual representation that shows how the function either consistently increases or consistently decreases across its domain. This characteristic allows us to understand the behavior of the function, highlighting properties such as limits, continuity, and the presence of fixed points. An important aspect of monotone functions is that they do not oscillate, which means their graphs are either entirely non-decreasing or non-increasing.
Infimum: The infimum, or greatest lower bound, of a set is the largest value that is less than or equal to every element in that set. This concept is critical in understanding limits and bounds of sequences and sets, particularly in the context of completeness, as it helps establish the existence of limits for monotone sequences and plays a key role in analyzing convergence.
Limit: In mathematics, a limit is the value that a function or sequence approaches as the input or index approaches some value. Limits are fundamental in understanding the behavior of sequences and functions, particularly in defining concepts like continuity, derivatives, and integrals. They help us analyze the convergence of sequences and provide a foundation for more advanced topics in analysis.
Monotone Convergence Theorem: The Monotone Convergence Theorem states that if a sequence of real numbers is monotonic (either non-decreasing or non-increasing) and bounded, then it converges to a limit. This theorem is crucial as it connects the behavior of sequences with completeness and provides insights into the concepts of supremum and infimum.
Monotonic Decreasing: A sequence is called monotonic decreasing if each term is less than or equal to the preceding term. This means that as you progress through the sequence, the values do not increase, and they can either stay the same or decrease. Understanding this concept is important because it helps in analyzing the behavior of sequences, determining convergence, and identifying limits.
Monotonic Increasing: A sequence is considered monotonic increasing if each term is greater than or equal to the preceding term. This means that as you move through the sequence, the values either stay the same or increase, reflecting a consistent upward trend. Monotonic increasing sequences are essential for understanding convergence and divergence in sequences, and they help establish limits and bounds for functions and series.
Non-decreasing: A sequence is called non-decreasing if each term is greater than or equal to the preceding term. This means that as you move through the sequence, the values either stay the same or increase, never decreasing. Non-decreasing sequences play an important role in the analysis of limits and convergence, as they help in identifying boundedness and eventual behavior of sequences.
Non-increasing: A sequence is called non-increasing if each term is less than or equal to the preceding term. This means that as you move through the sequence, the values either stay the same or decrease, creating a pattern where no term exceeds the one before it. Understanding non-increasing sequences is essential for analyzing convergence and divergence, as they often exhibit properties that are easier to study compared to other types of sequences.
Pointwise Convergence: Pointwise convergence refers to a type of convergence of a sequence of functions where, for each point in the domain, the sequence converges to the value of a limiting function. This means that for every point, as you progress through the sequence, the values get closer and closer to the value defined by the limiting function. Pointwise convergence is crucial in understanding how functions behave under limits and is often contrasted with uniform convergence, which has different implications for continuity and integration.
Sequence of Natural Numbers: The sequence of natural numbers is the ordered list of positive integers starting from 1 and continuing indefinitely as 1, 2, 3, 4, and so on. This sequence is fundamental in mathematics as it represents the simplest form of counting and is often used to illustrate concepts in analysis, including monotonicity, limits, and convergence.
Sequence plots: Sequence plots are graphical representations that visualize the terms of a sequence, typically plotted on a Cartesian coordinate system. These plots help in understanding the behavior and properties of sequences, such as monotonicity, convergence, and divergence. By visually analyzing how terms change, one can better grasp important concepts like limits and trends in the context of mathematical analysis.
Supremum: The supremum, or least upper bound, of a set is the smallest number that is greater than or equal to every number in that set. This concept connects to various mathematical principles such as order structure and completeness, and it plays a crucial role in understanding limits, convergence, and the behavior of sequences.
The sequence 1/n: The sequence 1/n is a mathematical sequence defined as the terms obtained by taking the reciprocal of the natural numbers, resulting in the values 1, 1/2, 1/3, 1/4, and so on. This sequence is significant in understanding monotonicity because it is a classic example of a decreasing sequence that converges to zero as n approaches infinity. The behavior of this sequence offers insight into limits, convergence, and the properties of sequences.
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