Step 1: Understanding the convergence criteria.
The series \( \sum_{n=3}^{\infty} \frac{a^n}{n^b (\log n)^c} \) will converge based on the behavior of \( a \), \( b \), and \( c \). Specifically, for convergence, the powers of \( n \) and \( \log n \) must grow sufficiently fast to counterbalance the terms \( a^n \).
Step 2: Analyzing the options.
(A) \( |a| < 1, b \in \mathbb{R}, c \in \mathbb{R} \): This condition ensures convergence, as the exponential term decays and \( n^b (\log n)^c \) grows sufficiently.
(B) \( a = 1, b > 1, c \in \mathbb{R} \): This also results in convergence, as the decay of \( n^b \) and \( (\log n)^c \) is fast enough.
(C) \( a = 1, b \geq 0, c < 1 \): This condition does not guarantee convergence, as the growth of \( n^b (\log n)^c \) is not fast enough to ensure convergence when \( b \geq 0 \) and \( c < 1 \).
(D) \( a = -1, b \geq 0, c > 0 \): This condition leads to convergence, as the series behaves similarly to option (B).
Step 3: Conclusion.
The correct answer is (C) \( a = 1, b \geq 0, c < 1 \).
Consider a frequency-modulated (FM) signal \[ f(t) = A_c \cos(2\pi f_c t + 3 \sin(2\pi f_1 t) + 4 \sin(6\pi f_1 t)), \] where \( A_c \) and \( f_c \) are, respectively, the amplitude and frequency (in Hz) of the carrier waveform. The frequency \( f_1 \) is in Hz, and assume that \( f_c>100 f_1 \). The peak frequency deviation of the FM signal in Hz is _________.
A pot contains two red balls and two blue balls. Two balls are drawn from this pot randomly without replacement. What is the probability that the two balls drawn have different colours?
Consider the following series:
(i) \( \sum_{n=1}^{\infty} \frac{1}{\sqrt{n}} \)
(ii) \( \sum_{n=1}^{\infty} \frac{1}{n(n+1)} \)
(iii) \( \sum_{n=1}^{\infty} \frac{1}{n!} \)
Choose the correct option.