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JEE Advanced Focus Reading Time: 20 min 5 Key Concepts

Monotonicity in Sequences and Series: A JEE Advanced Perspective

Master the crucial concept of monotonicity with convergence theorems, bounded sequences, and advanced problem-solving techniques for JEE Advanced.

100%
JEE Relevance
5
Key Theorems
12+
Solved Examples
30min
Practice Time

Why Monotonicity is Crucial for JEE Advanced

Monotonic sequences and series form the backbone of convergence analysis in JEE Advanced. Understanding these concepts helps in:

  • Proving convergence of complex sequences without explicit limits
  • Solving inequality problems using monotonic behavior
  • Analyzing recursive sequences common in JEE Advanced
  • Understanding series convergence through sequence behavior
  • Tackling 4-6 marks problems in every JEE Advanced paper
Concept 1 Medium

Definitions and Basic Properties

Monotonic Sequence Definition:

A sequence $\{a_n\}$ is called:

  • Monotonically Increasing if $a_{n+1} \geq a_n$ for all $n$
  • Monotonically Decreasing if $a_{n+1} \leq a_n$ for all $n$
  • Strictly Increasing if $a_{n+1} > a_n$ for all $n$
  • Strictly Decreasing if $a_{n+1} < a_n$ for all $n$

Testing Monotonicity:

Method 1: Check $a_{n+1} - a_n$

• If $a_{n+1} - a_n \geq 0$: Increasing

• If $a_{n+1} - a_n \leq 0$: Decreasing

Method 2: Check $\frac{a_{n+1}}{a_n}$ (for positive sequences)

• If $\frac{a_{n+1}}{a_n} \geq 1$: Increasing

• If $\frac{a_{n+1}}{a_n} \leq 1$: Decreasing

Example: Analyze $a_n = \frac{n}{n+1}$

Step 1: Compute $a_{n+1} - a_n = \frac{n+1}{n+2} - \frac{n}{n+1}$

Step 2: Simplify: $\frac{(n+1)^2 - n(n+2)}{(n+1)(n+2)} = \frac{1}{(n+1)(n+2)} > 0$

Step 3: Since difference is always positive, sequence is strictly increasing

Concept 2 Hard

Bounded Monotonic Convergence Theorem

Theorem Statement:

Every bounded monotonic sequence converges.

  • If $\{a_n\}$ is increasing and bounded above, it converges to its supremum
  • If $\{a_n\}$ is decreasing and bounded below, it converges to its infimum

JEE Advanced Application:

This theorem is particularly useful for recursive sequences where explicit limit computation is difficult.

Example: $a_1 = 2$, $a_{n+1} = \frac{1}{2}(a_n + \frac{6}{a_n})$

Step 1: Show sequence is bounded below by $\sqrt{6}$ (by AM-GM inequality)

Step 2: Show $a_{n+1} \leq a_n$ (sequence is decreasing)

Step 3: By BMCT, sequence converges to $L$ where $L = \frac{1}{2}(L + \frac{6}{L})$

Step 4: Solve: $L^2 = 6 \Rightarrow L = \sqrt{6}$ (since $a_n > 0$)

Concept 3 Medium

Monotonic Series and Convergence Tests

Integral Test Connection:

For a positive, continuous, decreasing function $f(x)$ on $[1, \infty)$:

$\sum_{n=1}^{\infty} f(n)$ converges $\iff$ $\int_1^{\infty} f(x) dx$ converges

Example: Analyze $\sum_{n=1}^{\infty} \frac{1}{n^p}$

Step 1: Sequence $a_n = \frac{1}{n^p}$ is positive and decreasing for $p > 0$

Step 2: Apply integral test: $\int_1^{\infty} \frac{1}{x^p} dx$

Step 3: This integral converges if $p > 1$, diverges if $p \leq 1$

Step 4: Therefore, p-series converges for $p > 1$, diverges for $p \leq 1$

🚀 Advanced Problem-Solving Strategies

For Recursive Sequences:

  • First prove boundedness (often using induction)
  • Then prove monotonicity
  • Use BMCT to guarantee convergence
  • Find limit by solving $L = f(L)$

Common Pitfalls to Avoid:

  • Assuming monotonicity without proof
  • Forgetting to check boundedness
  • Mixing up increasing/decreasing conditions
  • Overlooking strict vs non-strict monotonicity

Concepts 4-5 Available in Full Version

Includes Advanced Recursive Sequences and Monotonicity in Functional Equations with JEE Advanced problems

📝 Quick Self-Test

Try these JEE-level problems to test your understanding:

1. Determine if $a_n = \frac{n^2}{2^n}$ is monotonic and find its limit

2. Prove that $a_1 = 1$, $a_{n+1} = \sqrt{2 + a_n}$ converges and find its limit

3. Show that $\sum_{n=1}^{\infty} \frac{\ln n}{n^2}$ converges using monotonicity arguments

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