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Asymptotic Analysis

GATE CSE 2026 Set 2 · Q24

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Consider the following functions, where nn is a positive integer. n1/3 , log⁡(n) , log⁡(n!) , 2log⁡(n)n^{1/3}\ ,\ \log(n)\ ,\ \log(n!)\ ,\ 2^{\log(n)} Which one of the following options lists the functions in increasing order of asymptotic growth rate? *Note:* Assume the base of log⁡\log to be 2.

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Official answer: A) log(n) , n1/3 , 2log(n) , log(n!)

Asymptotic Analysis

To compare the asymptotic growth rates of the given functions, let us simplify and analyze each one as n→∞n \to \infty:

  1. log⁡(n)\log(n): A logarithmic function, which grows slower than any polynomial function ncn^c for c>0c > 0.

  2. n1/3n^{1/3}: A polynomial function with degree 13\frac{1}{3}. Since lim⁡n→∞log⁡nn1/3=0\lim_{n\to\infty} \frac{\log n}{n^{1/3}} = 0, we have log⁡(n)=o(n1/3)\log(n) = o(n^{1/3}).

  3. 2log⁡2(n)2^{\log_2(n)}: Using the identity blog⁡bx=xb^{\log_b x} = x, this simplifies directly to nn. Since lim⁡n→∞n1/3n=0\lim_{n\to\infty} \frac{n^{1/3}}{n} = 0, we have n1/3=o(n)n^{1/3} = o(n).

  4. log⁡(n!)\log(n!): By Stirling's approximation, log⁡(n!)=Θ(nlog⁡n)\log(n!) = \Theta(n \log n). Since lim⁡n→∞nnlog⁡n=0\lim_{n\to\infty} \frac{n}{n \log n} = 0, we have n=o(nlog⁡n)n = o(n \log n).

Arranging the functions in increasing order of asymptotic growth rate gives:

log⁡(n)<n1/3<2log⁡(n)<log⁡(n!)\log(n) < n^{1/3} < 2^{\log(n)} < \log(n!)

This matches Option (A).

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This Asymptotic Analysis previous year question is Q24 of the GATE CSE 2026 Set 2 paper. Find more GATE CSE PYQs on Asymptotic Analysis in Algorithms, or browse all GATE CSE PYQs.

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Asymptotic Analysis in GATE CSE

Asymptotic Analysis has 31 GATE CSE PYQs across 19 papers from 2011 to 2026. 15 of them are 1-mark MCQs like this one, and GATE CSE 2026 Set 2 has 3.

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GateAI solution cardGATE CSE 2026 Set 2 · Q24 · MCQ

Consider the following functions, where n is a positive integer. n1/3 , log(n) , log(n!) , 2log(n) Which one of the following options lists the functions in increasing order of asymptotic growth rate? *Note:* Assume the base of log to be 2.

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