Math Problem Statement

2 Eine Kettenwurz

ist rekursiv definiert als der Grenzwert der Folge x1=√2, xn+1=√2+xn. Zeigen Sie, dass dies Grenzwert tatsachlich existiert und berechnen Sie ihn

Solution

Problem: Kettenwurz – Recursive Definition

The recursive sequence is defined as:

  • x1=2x_1 = \sqrt{2},
  • xn+1=2+xnx_{n+1} = \sqrt{2 + x_n}.

We aim to:

  1. Prove that the sequence {xn}\{x_n\} converges to a limit.
  2. Calculate the limit.

Step 1: Existence of the Limit

a) Monotonicity

We first show that {xn}\{x_n\} is monotonically increasing:

  • Base case (n=1n = 1): x2=2+2>2=x1x_2 = \sqrt{2 + \sqrt{2}} > \sqrt{2} = x_1.
  • Assume xn>xn1x_n > x_{n-1}. Then: xn+1=2+xn>2+xn1=xn.x_{n+1} = \sqrt{2 + x_n} > \sqrt{2 + x_{n-1}} = x_n. Hence, xn+1>xnx_{n+1} > x_n. By induction, the sequence is monotonically increasing.

b) Boundedness

We show that xnx_n is bounded above by 2:

  • Base case (n=1n = 1): x1=2<2x_1 = \sqrt{2} < 2.
  • Assume xn<2x_n < 2. Then: xn+1=2+xn2+2=4=2.x_{n+1} = \sqrt{2 + x_n} \leq \sqrt{2 + 2} = \sqrt{4} = 2. Hence, xn+1<2x_{n+1} < 2. By induction, xn2x_n \leq 2.

Since {xn}\{x_n\} is monotonically increasing and bounded above, it converges to a limit LL.


Step 2: Calculating the Limit

Let LL be the limit of {xn}\{x_n\}. Taking the limit on both sides of the recursive relation xn+1=2+xnx_{n+1} = \sqrt{2 + x_n}, we have: L=2+L.L = \sqrt{2 + L}. Squaring both sides: L2=2+L.L^2 = 2 + L. Rearranging: L2L2=0.L^2 - L - 2 = 0. Factoring: (L2)(L+1)=0.(L - 2)(L + 1) = 0. Thus: L = 2 \quad \text{(since L > 0)}.


Final Answer

The sequence {xn}\{x_n\} converges, and the limit is: L=2.\boxed{L = 2}.


Let me know if you would like further clarification or examples.
Here are five related questions you might find useful:

  1. What are the properties of convergent sequences in general?
  2. How does one prove monotonicity for more complex sequences?
  3. Can this method be extended to other recursively defined sequences?
  4. What happens if the initial value x1x_1 is changed? Does the sequence still converge?
  5. How can we use numerical methods to approximate the limit of sequences?

Tip: For recursive sequences, always check monotonicity and boundedness to ensure convergence.

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Math Problem Analysis

Mathematical Concepts

Sequences and Series
Limits
Recursive Sequences
Monotonicity and Boundedness

Formulas

xn+1 = √(2 + xn)
L = √(2 + L)
L^2 - L - 2 = 0

Theorems

Monotone Convergence Theorem
Properties of Convergent Sequences

Suitable Grade Level

Undergraduate Mathematics / Advanced High School