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NDA Maths · Logarithms

Logarithm Identities, Change of Base & Sums

A logarithm answers “what power do I raise the base to?” — and almost every NDA log question collapses once you apply the three laws, the change-of-base rule, or its reciprocal twin.

Why this matters

This is the larger of the chapter's two subtopics — 16 PYQs, mostly EASY/MODERATE with 2 HARD. The patterns repeat: split or combine logs with the laws, switch base to collapse a product or a telescoping sum (the 1/log_k N family appears almost every other year), or read off the sign of a log. Master change of base and these become one-liners.

Test yourself — a quick 15-question Logarithms recall quiz, instant score.

Concept 1 of 5: What a Logarithm Is — Laws, Special Values, Domain

A logarithm is just an exponent turned inside out. The question “log⁡aN=?\log_a N = ?” asks “to what power must I raise the base aa to get NN?” Once you read every log as “the exponent that produces NN,” the three laws are simply the exponent rules in disguise.

Definition

Definition. log⁡aN=x  ⟺  ax=N\log_a N = x \iff a^x = N, valid for base a>0, a≠1a>0,\ a\neq 1 and N>0N>0. The three laws (same base throughout):

  • Product: log⁡a(MN)=log⁡aM+log⁡aN\log_a(MN) = \log_a M + \log_a N
  • Quotient: log⁡a ⁣MN=log⁡aM−log⁡aN\log_a\!\dfrac{M}{N} = \log_a M - \log_a N
  • Power: log⁡a(Mk)=k log⁡aM\log_a(M^k) = k\,\log_a M

Special values: log⁡aa=1\log_a a = 1, log⁡a1=0\log_a 1 = 0, log⁡a(ak)=k\log_a(a^k) = k, and alog⁡aN=Na^{\log_a N} = N. Domain: you may only take the log of a positive number — the argument of every log in a problem must stay >0>0. This is what later forces solution-rejection.

The defining equivalence and the three laws

log⁡aN=x  ⟺  ax=N;log⁡a(MN)=log⁡aM+log⁡aN,  log⁡aMk=klog⁡aM\log_a N = x \iff a^x = N;\quad \log_a(MN)=\log_a M+\log_a N,\ \ \log_a M^k = k\log_a M

Worked example

Evaluate log⁡280−log⁡25\log_2 80 - \log_2 5.
Practice this concept4 quick reps

log⁡(M+N)\log(M+N) is NOT log⁡M+log⁡N\log M + \log N

The product law splits a log of a product, not a log of a sum. log⁡a(M+N)\log_a(M+N) has no simplification — only log⁡a(MN)\log_a(MN) splits into log⁡aM+log⁡aN\log_a M+\log_a N.

The base must be >0>0 and ≠1\neq 1

log⁡aN\log_a N is only defined for a base a>0, a≠1a > 0,\ a \neq 1. A base of 11 is forbidden because 1x=11^x = 1 for every xx, so log⁡1N\log_1 N has no unique value; a base ≤0\le 0 breaks the exponential entirely.

Concept 2 of 5: Applying the Laws — Evaluate and Combine

Most “find the value” log questions are solved by rewriting every number as a power of a small base, then letting the power and product/quotient laws do the bookkeeping. The trick is to spot the common base hiding inside 27,32,102427, 32, 1024, nested radicals, and so on.

Definition

Strategy for an evaluate-and-combine problem:

  • Rewrite arguments as powers of the smallest convenient base: 27=33, 1024=210, 3125=5527=3^3,\ 1024=2^{10},\ 3125=5^5, and a nested radical like 777\sqrt{7\sqrt{7\sqrt{7}}} as 71/2+1/4+1/8=77/87^{1/2+1/4+1/8}=7^{7/8}.
  • Pull exponents out front with the power law, then combine with product/quotient.
  • Sum of logs across a list — e.g. ∑jlog⁡10(2j5j)=∑jj log⁡1010=∑jj\sum_j \log_{10}(2^j5^j)=\sum_j j\,\log_{10}10=\sum_j j — telescopes once you notice 2⋅5=102\cdot 5 = 10. Then finish the series: ∑j=1nj=n(n+1)2\sum_{j=1}^{n}j=\dfrac{n(n+1)}{2}, so "the sum equals 66" means n(n+1)=132⇒n=11n(n+1)=132\Rightarrow n=11, and "equals 15" means n=5n=5. Also ∑j2=n(n+1)(2n+1)6\sum j^2=\dfrac{n(n+1)(2n+1)}{6} if the exponents are squares.

Rewrite as powers, then pull the exponent out

log⁡a(bm⋅cn)=mlog⁡ab+nlog⁡ac\log_a(b^m \cdot c^n) = m\log_a b + n\log_a c

Worked example

Find the value of log⁡327+log⁡5125\log_3 27 + \log_5 125.
Practice this conceptself-check · 1 quick reps

The same idea in a real exam question:

NDA · Sep 2018 · Q1Moderate

Example 2 · Logarithms · Logarithm Identities, Change of Base, and Sums

What is the value of log⁡7log⁡7777\log_7 \log_7 \sqrt{7\sqrt{7\sqrt{7}}} equal to?

Keep the base when you pull out a power

log⁡7777\log_7\sqrt{7\sqrt{7\sqrt{7}}} first becomes 78\tfrac{7}{8}, but a second outer log⁡7\log_7 of that gives log⁡778=1−3log⁡72\log_7\tfrac{7}{8} = 1 - 3\log_7 2 — don't lose the −log⁡78=−3log⁡72-\log_7 8 = -3\log_7 2 term.

Concept 3 of 5: Change of Base & the Reciprocal Identity

Any logarithm can be re-expressed in a base of your choosing: log⁡ba=log⁡alog⁡b\log_b a = \dfrac{\log a}{\log b} in any common base. The single most useful consequence is that flipping a log inverts it: 1log⁡ab=log⁡ba\dfrac{1}{\log_a b} = \log_b a. That reciprocal turns the recurring ∑1log⁡kN\sum \dfrac{1}{\log_k N} sums into a one-line collapse.

Definition

Change of base: log⁡ba=log⁡calog⁡cb\log_b a = \dfrac{\log_c a}{\log_c b} for any valid base cc. Two consequences carry most of the marks:

  • Reciprocal identity: 1log⁡ab=log⁡ba\dfrac{1}{\log_a b} = \log_b a (set c=ac=a). So 1log⁡kN=log⁡Nk\dfrac{1}{\log_k N} = \log_N k.
  • Telescoping sum: ∑k=2m1log⁡kN=∑k=2mlog⁡Nk=log⁡N(2⋅3⋯m)=log⁡N(m!)\displaystyle\sum_{k=2}^{m}\dfrac{1}{\log_k N} = \sum_{k=2}^{m}\log_N k = \log_N(2\cdot 3\cdots m) = \log_N(m!). When N=m!N=m! this equals log⁡NN=1\log_N N = 1.
  • Product collapse: log⁡ab⋅log⁡ba=1\log_a b\cdot\log_b a = 1, and log⁡ab⋅log⁡bc=log⁡ac\log_a b\cdot\log_b c = \log_a c (chain).

Change of base and its reciprocal twin

log⁡ba=log⁡alog⁡b,1log⁡ab=log⁡ba\log_b a = \dfrac{\log a}{\log b}, \qquad \dfrac{1}{\log_a b} = \log_b a

Worked example

If n=50!n = 50!, find 1log⁡2n+1log⁡3n+⋯+1log⁡50n\dfrac{1}{\log_2 n} + \dfrac{1}{\log_3 n} + \cdots + \dfrac{1}{\log_{50} n}.
Practice this conceptself-check · 1 quick reps

The same idea in a real exam question:

NDA · Apr 2018 · Q2Moderate

Example 3 · Logarithms · Logarithm Identities, Change of Base, and Sums

If n=(2017)!n = (2017)!, then what is 1log⁡2n+1log⁡3n+1log⁡4n+⋯+1log⁡2017n\frac{1}{\log_{2}n} + \frac{1}{\log_{3}n} + \frac{1}{\log_{4}n} + \cdots + \frac{1}{\log_{2017}n} equal to?

Reciprocal flips the base and the argument together

1log⁡ab=log⁡ba\dfrac{1}{\log_a b} = \log_b a — the base and argument swap. It does NOT equal log⁡a(1/b)\log_a(1/b) (which would be −log⁡ab-\log_a b). Keep the two operations separate.

Change of base does NOT invert the fraction

log⁡ba=log⁡alog⁡b\log_b a = \dfrac{\log a}{\log b} — the NEW argument aa goes on top, the NEW base bb on the bottom. Writing it upside-down as log⁡blog⁡a\dfrac{\log b}{\log a} gives log⁡ab\log_a b, the reciprocal, and flips the whole answer.

Concept 4 of 5: Sign of a Logarithm & Bounds of a Log Function

Because the log of 11 is 00, a logarithm is positive when its argument exceeds 11 and negative when the argument lies strictly between 00 and 11 (for a base >1>1). And since log⁡\log is increasing, the smallest value of log⁡10(quadratic)\log_{10}(\text{quadratic}) happens exactly where the quadratic is smallest.

Definition

For base a>1a>1:

  • log⁡aN>0  ⟺  N>1\log_a N > 0 \iff N > 1; log⁡aN=0  ⟺  N=1\quad\log_a N = 0 \iff N = 1; log⁡aN<0  ⟺  0<N<1\quad\log_a N < 0 \iff 0 < N < 1.
  • The function log⁡a\log_a is strictly increasing, so log⁡af(x)\log_a f(x) attains its minimum exactly where f(x)f(x) is minimised (provided f>0f>0 there).
  • Strict monotonicity also proves UNIQUENESS: a strictly increasing left-hand side meets a constant at most once, so a root found by inspection is THE root. 5x+4x+3x+2x+1=55^x+4^x+3^x+2^x+1=5 has x=0x=0 by inspection, and because every term axa^x (a>1a>1) is strictly increasing, the sum is too — there is exactly one solution. Without this line "x=0x=0" is a guess; with it, it is a proof.

Minimising log⁡10(quadratic):\log_{10}(\text{quadratic}): complete the square — x2+bx+c=(x+b2)2+(c−b24)x^2+bx+c = (x+\tfrac{b}{2})^2 + (c-\tfrac{b^2}{4}) — the minimum argument is c−b24c-\tfrac{b^2}{4}, and the minimum of the log is log⁡10\log_{10} of that.

Sign of a log (base > 1)

log⁡aN  {>0N>1=0N=1<00<N<1\log_a N \;\begin{cases}>0 & N>1\\ =0 & N=1\\ <0 & 0<N<1\end{cases}

Worked example

Find the minimum value of f(x)=log⁡10(x2−4x+104)f(x) = \log_{10}(x^2 - 4x + 104).
Practice this concept2 quick reps

The same idea in a real exam question:

NDA · Sep 2022 · Q73Easy

Example 4 · Logarithms · Logarithm Identities, Change of Base, and Sums

What is the minimum value of the function f(x)=log⁡10(x2+2x+11)f(x) = \log_{10}(x^2+2x+11)?

The minimum is of the LOG, not the quadratic

After finding the quadratic's minimum (say 100100), you must still take log⁡10100=2\log_{10} 100 = 2. The smallest argument and the smallest log value are different numbers — the question asks for the log.

Concept 5 of 5: Logarithms in AP/GP and the Geometric Mean

Logs convert multiplication into addition, so a geometric progression of powers becomes an arithmetic progression of logs. That's why questions phrased as “ln⁡x,ln⁡x3,ln⁡x5\ln x, \ln x^3, \ln x^5 are in AP/GP?” or “geometric mean of 1,2,22,…1,2,2^2,\dots” are pure log-law exercises in disguise.

Definition

Two recurring shapes:

  • AP / GP test on logs: ln⁡x,ln⁡x3,ln⁡x5=ln⁡x, 3ln⁡x, 5ln⁡x\ln x, \ln x^3, \ln x^5 = \ln x,\,3\ln x,\,5\ln x. They are in AP (common difference 2ln⁡x2\ln x); for GP you must separately check q2=prq^2 = pr, i.e. (3ln⁡x)2=(ln⁡x)(5ln⁡x)(3\ln x)^2 = (\ln x)(5\ln x) — here 9≠59 \neq 5, so never GP.
  • Geometric mean of a list of powers: the GM of 1,2,22,…,2n−11,2,2^2,\dots,2^{n-1} is (20+1+⋯+(n−1))1/n=2(n−1)/2\big(2^{0+1+\cdots+(n-1)}\big)^{1/n} = 2^{(n-1)/2}; taking log⁡2\log_2 gives n−12\dfrac{n-1}{2}, so expressions like 1+2log⁡2G1+2\log_2 G simplify to nn.
  • An infinite GP hiding in the logs: log⁡e3+log⁡e23+log⁡e43+⋯=ln⁡3 (1+12+14+… )\log_e3+\log_{e^2}3+\log_{e^4}3+\dots=\ln3\,(1+\tfrac12+\tfrac14+\dots) by log⁡akN=1klog⁡aN\log_{a^k}N=\tfrac1k\log_aN, and the bracket is a1−r=11−12=2\dfrac{a}{1-r}=\dfrac{1}{1-\frac12}=2 — the infinite-GP sum S∞=a1−rS_\infty=\dfrac{a}{1-r} for ∣r∣<1|r|<1 (Sequence & Series). So the total is 2ln⁡3=ln⁡92\ln3=\ln9.

AP and GP conditions for three terms

AP:2q=p+r,GP:q2=pr\text{AP}: 2q = p+r, \qquad \text{GP}: q^2 = pr

Worked example

Are log⁡24, log⁡216, log⁡264\log_2 4,\ \log_2 16,\ \log_2 64 in AP?
Practice this conceptself-check

The same idea in a real exam question:

NDA · Sep 2024 · Q8Moderate

Example 5 · Logarithms · Logarithm Identities, Change of Base, and Sums

Let p=ln⁡xp=\ln x, q=ln⁡x3q=\ln x^3 and r=ln⁡x5r=\ln x^5, where x>1x>1. Which of the following statements is/are correct? A. p,qp,q and rr are in AP. B. p,qp,q and rr can never be in GP. Select the answer using the code given below.

AP holding does not make it GP — test GP separately

p,q,rp, q, r being in AP says nothing about GP. The GP condition q2=prq^2 = pr must be checked on its own; for ln⁡x,3ln⁡x,5ln⁡x\ln x, 3\ln x, 5\ln x it fails because 9≠59 \neq 5, so the terms are AP-but-never-GP.

Summary — formulas & gotchas at a glance

A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.

Formulas (5)

  • What a Logarithm Is — Laws, Special Values, Domain

    The defining equivalence and the three laws

    log⁡aN=x  ⟺  ax=N;log⁡a(MN)=log⁡aM+log⁡aN,  log⁡aMk=klog⁡aM\log_a N = x \iff a^x = N;\quad \log_a(MN)=\log_a M+\log_a N,\ \ \log_a M^k = k\log_a M
  • Applying the Laws — Evaluate and Combine

    Rewrite as powers, then pull the exponent out

    log⁡a(bm⋅cn)=mlog⁡ab+nlog⁡ac\log_a(b^m \cdot c^n) = m\log_a b + n\log_a c
  • Change of Base & the Reciprocal Identity

    Change of base and its reciprocal twin

    log⁡ba=log⁡alog⁡b,1log⁡ab=log⁡ba\log_b a = \dfrac{\log a}{\log b}, \qquad \dfrac{1}{\log_a b} = \log_b a
  • Sign of a Logarithm & Bounds of a Log Function

    Sign of a log (base > 1)

    log⁡aN  {>0N>1=0N=1<00<N<1\log_a N \;\begin{cases}>0 & N>1\\ =0 & N=1\\ <0 & 0<N<1\end{cases}
  • Logarithms in AP/GP and the Geometric Mean

    AP and GP conditions for three terms

    AP:2q=p+r,GP:q2=pr\text{AP}: 2q = p+r, \qquad \text{GP}: q^2 = pr

Watch out for (7)

Test yourself on Logarithms

10 past NDA questions from this chapter, timed at 13 minutes and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.

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