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Ch. 10 - Sequences and Infinite Series
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Non è quello che usi tu?Cambia libro di testo
Capitolo 10, Problema 10.2.79

Growth rates of sequences
Use Theorem 10.6 to find the limit of the following sequences or state that they diverge.


{n¹⁰⁰⁰ / 2ⁿ}

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1
Identify the sequence given: \(a_n = \frac{n^{1000}}{2^n}\).
Recall Theorem 10.6, which states that for sequences of the form \(\frac{n^p}{r^n}\) where \(p\) is a positive integer and \(r > 1\), the exponential term in the denominator grows faster than any polynomial term in the numerator.
Apply this theorem to the sequence: since \$2^n$ grows exponentially and $n^{1000}$ grows polynomially, the denominator grows faster than the numerator as \(n \to \infty\).
Conclude that the limit of the sequence \(a_n\) as \(n\) approaches infinity is 0 because the denominator dominates the numerator.
Therefore, \(\lim_{n \to \infty} \frac{n^{1000}}{2^n} = 0\).

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Limits of Sequences

A limit of a sequence describes the value that the terms of the sequence approach as the index goes to infinity. Understanding how to evaluate these limits helps determine whether a sequence converges to a finite number or diverges to infinity or does not settle at all.
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Growth Rates of Functions

Comparing growth rates involves analyzing how fast different functions increase as their input becomes very large. For example, exponential functions like 2^n grow faster than any polynomial function like n^1000, which is crucial in determining the behavior of sequences involving these terms.
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Theorem 10.6 (Limit Comparison of Sequences)

Theorem 10.6 typically refers to a result that helps find limits of sequences by comparing them to known sequences with established limits. It often involves using dominant terms or applying limit laws to simplify complex sequences and determine their convergence or divergence.
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Introduction to Sequences