Math Problem Statement

Déterminer la nature des séries dont les termes généraux sont les suivants : 1. u_n = (n / (n+1))^(n^2) 2. u_n = 1 / (n * cos^2(n)) 3. u_n = 1 / ((ln(n)) * ln(ln(n)))

Solution

We are tasked with determining the nature of the series whose general terms are provided in the image. Let's analyze each one carefully.


1. un=(nn+1)n2u_n = \left( \frac{n}{n+1} \right)^{n^2}

Analysis:

  • Behavior of nn+1\frac{n}{n+1}: nn+1=11n+1\frac{n}{n+1} = 1 - \frac{1}{n+1} For large nn, nn+11\frac{n}{n+1} \to 1, but we are raising it to the power n2n^2, so the decay rate is critical to analyze.

  • Approximation for large nn: Using ln(1x)x\ln(1-x) \approx -x for small xx, we have: ln(nn+1)=ln(11n+1)1n+1.\ln\left(\frac{n}{n+1}\right) = \ln\left(1 - \frac{1}{n+1}\right) \approx -\frac{1}{n+1}. Thus: (nn+1)n2=en2ln(nn+1)en21n+1en.\left( \frac{n}{n+1} \right)^{n^2} = e^{n^2 \ln\left(\frac{n}{n+1}\right)} \approx e^{-n^2 \cdot \frac{1}{n+1}} \approx e^{-n}.

  • Nature of the series: The term unenu_n \sim e^{-n} decays very quickly to 0. Since the series en\sum e^{-n} converges (it behaves like a geometric series with a ratio less than 1), the given series converges.


2. un=1ncos2(n)u_n = \frac{1}{n \cos^2(n)}

Analysis:

  • Behavior of cos2(n)\cos^2(n): The function cos2(n)\cos^2(n) oscillates between 0 and 1, and it can get arbitrarily close to 0 as nn \to \infty. This means unu_n can become arbitrarily large.

  • Divergence test: Since unu_n does not tend to 0 due to the oscillatory nature of cos2(n)\cos^2(n), the series diverges.


3. un=1(ln(n))ln(ln(n))u_n = \frac{1}{(\ln(n)) \ln(\ln(n))}

Analysis:

  • Growth of the denominator: For large nn, ln(n)\ln(n) \to \infty and ln(ln(n))\ln(\ln(n)) \to \infty, so un0u_n \to 0. However, we must analyze the rate of decay to determine convergence.

  • Comparison to a standard series: Compare unu_n with 1ln(n)\frac{1}{\ln(n)} or 1np\frac{1}{n^p}:

    • The term 1ln(n)\frac{1}{\ln(n)} is known to diverge, and adding ln(ln(n))\ln(\ln(n)) in the denominator slows down the decay even more.
    • Thus, unu_n behaves similarly to a divergent series, and the given series diverges.

Conclusion:

  1. Converges
  2. Diverges
  3. Diverges

Would you like a detailed explanation for any specific part?


Related Questions:

  1. How can the comparison test be applied to identify convergence or divergence of a series?
  2. Why does the oscillation in cos2(n)\cos^2(n) cause divergence in the second series?
  3. What is the role of logarithmic functions in slowing down series decay?
  4. Can the ratio test be used for all three series? If so, how would it apply?
  5. How does the exponential decay in the first series ensure convergence?

Tip:

When analyzing series with complex terms, approximating behavior for large nn using logarithms or Taylor expansions is often helpful to simplify the problem.

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Math Problem Analysis

Mathematical Concepts

Series
Convergence and Divergence
Asymptotic Analysis
Logarithmic and Exponential Growth
Oscillatory Functions

Formulas

ln(1 - x) ≈ -x for small x
General term behavior approximation u_n ≈ e^{-n}
Harmonic-like series divergence 1/(ln(n)*ln(ln(n)))

Theorems

Comparison Test for Series
Divergence Test (if u_n does not tend to 0, the series diverges)
Asymptotic Approximation for Exponential Growth and Logarithmic Decay

Suitable Grade Level

Grades 11-12, Undergraduate