Properties of Logarithms - Laws, Formulas, Proofs

#Algebra
TL;DR
The properties of logarithms are seven identities that simplify logarithmic expressions: the product rule (log⁡b(xy)=log⁡bx+log⁡by\log_b(xy) = \log_b x + \log_b y), quotient rule (log⁡b(x/y)=log⁡bx−log⁡by\log_b(x/y) = \log_b x - \log_b y), power rule (log⁡b(xn)=nlog⁡bx\log_b(x^n) = n \log_b x), change-of-base formula, and three special values (log⁡b1=0\log_b 1 = 0, log⁡bb=1\log_b b = 1, log⁡bbn=n\log_b b^n = n).
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Madhukar VLast updated on September 19, 20269 min read

What Is a Logarithm? (Quick Refresher)

A logarithm answers the question "to what power must I raise the base to get this number?" If by=xb^y = x, then log⁡b(x)=y\log_b(x) = y. Example: log⁡2(8)=3\log_2(8) = 3 because 23=82^3 = 8.

The two most common bases are:

  • Common logarithm — base 10, often written as log⁡(x)\log(x) with no subscript

  • Natural logarithm — base e≈2.71828e \approx 2.71828, written ln⁡(x)\ln(x)

Every property below holds for any base bb (with b>0b > 0 and b≠1b \neq 1).

What Are the Properties of Logarithms?

The seven core properties, in compact form:

Property

Identity

When You Use It

Product

log⁡b(xy)=log⁡bx+log⁡by\log_b(xy) = \log_b x + \log_b y

Multiplication → addition

Quotient

log⁡b(x/y)=log⁡bx−log⁡by\log_b(x/y) = \log_b x - \log_b y

Division → subtraction

Power

log⁡b(xn)=nlog⁡bx\log_b(x^n) = n \log_b x

Exponent → coefficient

Change of base

log⁡bx=log⁡cxlog⁡cb\log_b x = \dfrac{\log_c x}{\log_c b}

Converting between bases

Log of 1

log⁡b1=0\log_b 1 = 0

Anything to the 0 is 1

Log of base

log⁡bb=1\log_b b = 1

Anything to the 1 is itself

Log of base power

log⁡b(bn)=n\log_b(b^n) = n

Inverse of exponential

How Do the Three Main Properties Work? (With Proofs)

Product Rule

log⁡b(xy)=log⁡bx+log⁡by\log_b(xy) = \log_b x + \log_b y

Proof. Let m=log⁡bxm = \log_b x and n=log⁡byn = \log_b y. Then x=bmx = b^m and y=bny = b^n, so:

xy=bm⋅bn=bm+nxy = b^m \cdot b^n = b^{m+n}

Taking log⁡b\log_b of both sides: log⁡b(xy)=m+n=log⁡bx+log⁡by\log_b(xy) = m + n = \log_b x + \log_b y. ∎

Example. log⁡2(8×4)=log⁡28+log⁡24=3+2=5\log_2(8 \times 4) = \log_2 8 + \log_2 4 = 3 + 2 = 5.

Quotient Rule

log⁡b!(xy)=log⁡bx−log⁡by\log_b!\left(\dfrac{x}{y}\right) = \log_b x - \log_b y

Proof. Same setup as above: x/y=bm/bn=bm−nx/y = b^m/b^n = b^{m-n}, so log⁡b(x/y)=m−n\log_b(x/y) = m - n. ∎

Example. log⁡3(81/9)=log⁡381−log⁡39=4−2=2\log_3(81/9) = \log_3 81 - \log_3 9 = 4 - 2 = 2.

Power Rule

log⁡b(xn)=nlog⁡bx\log_b(x^n) = n \log_b x

Proof. Let m=log⁡bxm = \log_b x, so x=bmx = b^m. Then xn=(bm)n=bmnx^n = (b^m)^n = b^{mn}, giving log⁡b(xn)=mn=nlog⁡bx\log_b(x^n) = mn = n \log_b x. ∎

Example. log⁡2(83)=3log⁡28=3×3=9\log_2(8^3) = 3 \log_2 8 = 3 \times 3 = 9.

How Do You Use the Change-of-Base Formula?

Calculators only compute log⁡\log (base 10) and ln⁡\ln (base ee). For any other base, use the change-of-base formula:

log⁡bx=log⁡cxlog⁡cb\log_b x = \frac{\log_c x}{\log_c b}

where cc is any base your calculator supports.

Example. Compute log⁡5(125)\log_5(125) using base-10 logs.

log⁡5(125)=log⁡125log⁡5=2.09690.6990≈3\log_5(125) = \frac{\log 125}{\log 5} = \frac{2.0969}{0.6990} \approx 3

Check: 53=1255^3 = 125 ✓.

Special case — change to natural log:

log⁡bx=ln⁡xln⁡b\log_b x = \frac{\ln x}{\ln b}

Often the cleaner form for higher-math contexts where ln⁡\ln is the more useful base.

What Are the Three Special-Value Properties?

These follow directly from the definition of a logarithm.

Log of 1 = 0

log⁡b1=0(any base b>0,b≠1)\log_b 1 = 0 \qquad \text{(any base } b > 0, b \neq 1\text{)}

Because b0=1b^0 = 1 for any non-zero bb.

Log of the Base Itself = 1

log⁡bb=1\log_b b = 1

Because b1=bb^1 = b.

Log of a Power of the Base = the Exponent

log⁡b(bn)=n\log_b(b^n) = n

This is the inverse-function property — logarithm undoes exponentiation. For natural log: ln⁡(en)=n\ln(e^n) = n, and eln⁡x=xe^{\ln x} = x.

What Are the Properties of the Natural Logarithm (ln)?

The natural logarithm ln⁡(x)\ln(x) is just log⁡e(x)\log_e(x) — the logarithm with base e≈2.71828e \approx 2.71828. Every property above carries over verbatim with ee as the base; we restate them here because ln⁡\ln is the form you'll meet most often in calculus, physics, and finance.

Property

Identity for ln⁡\ln

Product

ln⁡(xy)=ln⁡x+ln⁡y\ln(xy) = \ln x + \ln y

Quotient

ln⁡(x/y)=ln⁡x−ln⁡y\ln(x/y) = \ln x - \ln y

Power

ln⁡(xn)=nln⁡x\ln(x^n) = n \ln x

Change of base

ln⁡x=log⁡xlog⁡e\ln x = \dfrac{\log x}{\log e} (or use log⁡bx=ln⁡x/ln⁡b\log_b x = \ln x / \ln b in reverse)

ln of 1

ln⁡1=0\ln 1 = 0

ln of ee

ln⁡e=1\ln e = 1

ln of ene^n

ln⁡(en)=n\ln(e^n) = n

Exponential inverse

eln⁡x=xe^{\ln x} = x for all x>0x > 0

Calculus identity (bonus). The natural log is the unique logarithm whose derivative is 1/x1/x:

ddxln⁡x=1x,x>0\frac{d}{dx}\ln x = \frac{1}{x}, \quad x > 0

That single property is why ee — and therefore ln⁡\ln — is the "natural" base in pure math and physics. The base-10 log doesn't have a clean derivative; only base ee does.

Worked example. Simplify ln⁡(e3⋅x2)\ln(e^3 \cdot x^2).

ln⁡(e3⋅x2)=ln⁡e3+ln⁡x2=3+2ln⁡x\ln(e^3 \cdot x^2) = \ln e^3 + \ln x^2 = 3 + 2\ln x.

Worked example — compound interest at continuous rate. A balance growing at continuous annual rate rr from initial principal P0P_0 reaches P(t)=P0ertP(t) = P_0 e^{rt}. To solve for tt:

t=1rln⁡!(P(t)P0)t = \frac{1}{r} \ln!\left(\frac{P(t)}{P_0}\right)

The natural log is the inverse of continuous-compound growth — which is exactly why finance, biology, and physics use ln⁡\ln, not log⁡\log.

Why Were Logarithms Invented? (The Real-World GROUND)

"Seeing there is nothing… that is so troublesome to mathematical practice, nor that doth more molest and hinder calculators, than the multiplications, divisions, square and cubical extractions of great numbers…" — John Napier, 1614.

Logarithms exist because of a specific 17th-century problem: astronomers and navigators needed to multiply enormous numbers, and multiplication by hand took hours. John Napier — a Scottish mathematician working at Merchiston Castle — published Mirifici Logarithmorum Canonis Descriptio in 1614. His logarithm tables converted multiplication into addition, and his collaborator Henry Briggs built the base-10 tables that became the standard.

The mathematician Pierre-Simon Laplace later wrote that logarithms "by shortening the labours, doubled the life of the astronomer." Calculations that took months took weeks; the impossible became routine.

The slide rule — invented around 1620 — was nothing but a logarithm table on a sliding stick. Slide rules went on the Apollo missions to the moon and stayed standard equipment in every engineering school until cheap electronic calculators arrived in the 1970s.

Today, logarithmic scales describe enormous ranges of natural phenomena:

  • The Richter scale — a magnitude-7 earthquake releases 10× the energy of magnitude-6.

  • The decibel scale — sound intensity doubles roughly every 3 dB.

  • The pH scale — pH 3 is 10× more acidic than pH 4.

  • Stellar magnitudes — each step is about 1005≈2.512\sqrt[5]{100} \approx 2.512 times the brightness.

  • Information theory — Claude Shannon's 1948 definition of information content uses log⁡2\log_2. One bit halves uncertainty.

A Worked Example

Simplify log⁡2(8⋅4)−log⁡24\log_2(8 \cdot 4) - \log_2 4.

The intuitive (wrong) approach. A student applies the product rule incorrectly:

log⁡2(8⋅4)=?log⁡28⋅log⁡24=3⋅2=6\log_2(8 \cdot 4) \stackrel{?}{=} \log_2 8 \cdot \log_2 4 = 3 \cdot 2 = 6

Then 6−log⁡24=6−2=46 - \log_2 4 = 6 - 2 = 4.

But the actual value of log⁡2(8⋅4)−log⁡24=log⁡232−log⁡24=5−2=3\log_2(8 \cdot 4) - \log_2 4 = \log_2 32 - \log_2 4 = 5 - 2 = 3, not 4.

Why it fails. The product rule converts multiplication inside the log to addition outside — log⁡b(xy)=log⁡bx+log⁡by\log_b(xy) = \log_b x + \log_b y, not log⁡bx⋅log⁡by\log_b x \cdot \log_b y. The operator switches; the form doesn't multiply.

The correct method.

log⁡2(8⋅4)−log⁡24=(log⁡28+log⁡24)−log⁡24=log⁡28=3\log_2(8 \cdot 4) - \log_2 4 = (\log_2 8 + \log_2 4) - \log_2 4 = \log_2 8 = 3

Or by quotient rule: log⁡2(8⋅4/4)=log⁡28=3\log_2(8 \cdot 4 / 4) = \log_2 8 = 3.

The memorizer who learned "split the product" without internalising "sum, not product" hits this mistake repeatedly. At Bhanzu, our trainers teach the conversion as the central idea: every logarithm rule changes the operation level — products become sums, quotients become differences, exponents become coefficients.

What Are the Most Common Mistakes With Properties of Logarithms?

Mistake 1: Splitting log⁡(x+y)\log(x + y) as log⁡x+log⁡y\log x + \log y

Where it slips in: Trying to "distribute" the log over an addition.

Don't do this: log⁡(x+y)=log⁡x+log⁡y\log(x + y) = \log x + \log y. This is false.

The correct way: There is no property for the log of a sum. log⁡(x+y)\log(x + y) stays as log⁡(x+y)\log(x + y) — you cannot simplify further using log properties. The rusher who pattern-matches "split things" hits this most.

Mistake 2: Confusing log⁡(xn)\log(x^n) with (log⁡x)n(\log x)^n

Where it slips in: log⁡(x2)\log(x^2) and (log⁡x)2(\log x)^2 look similar but mean different things.

Don't do this: Treating (log⁡x)2(\log x)^2 and log⁡(x2)\log(x^2) as equal.

The correct way: log⁡(x2)=2log⁡x\log(x^2) = 2 \log x — the exponent is inside the log, so the power rule applies. (log⁡x)2=log⁡x⋅log⁡x(\log x)^2 = \log x \cdot \log x — the exponent is outside, applied to the whole logarithm. They are not equal in general. The second-guesser who asks "inside or outside?" is right to ask.

Mistake 3: Treating log⁡0\log 0 as 0

Where it slips in: Recalling that log⁡1=0\log 1 = 0 and confusing it with log⁡0\log 0.

Don't do this: Writing log⁡0=0\log 0 = 0.

The correct way: log⁡0\log 0 is undefined — no power of any positive base produces 0. As x→0+x \to 0^+, log⁡bx→−∞\log_b x \to -\infty (it approaches negative infinity). Distinct from log⁡1=0\log 1 = 0. The memorizer who pattern-matches "log of small number = 0" hits this.

The real-world version of the mistake. In 1865, the British physicist John Tyndall measured atmospheric CO₂ absorption using carefully calibrated equipment — but early CO₂ instruments had a logarithmic response that some experimenters read as linear.

The misreading is the same shape as log⁡(x2)\log(x^2) vs (log⁡x)2(\log x)^2 — confusing where the operation applies — and it produced systematically wrong estimates of climate sensitivity for decades.

Mathematical precision in log properties isn't pedantry; in measurement-based science, the right property is the difference between truth and plausible drift.

The Mathematicians Who Shaped Logarithms

John Napier (1550–1617, Scotland) — Invented logarithms in his 1614 book Mirifici Logarithmorum Canonis Descriptio. His goal was practical: to save astronomers from spending months on multiplication. Also invented "Napier's bones" — a manual calculation aid that predates the slide rule.

Henry Briggs (1561–1630, England) — Developed the base-10 (common) logarithm tables in 1617 in collaboration with Napier shortly before Napier's death. Briggs's tables became the standard reference for the next three centuries.

Leonhard Euler (1707–1783, Switzerland) — Established the connection between logarithms, exponentials, and the number ee. Euler's identity eiπ+1=0e^{i\pi} + 1 = 0 links the natural logarithm to imaginary numbers and remains one of the most celebrated equations in mathematics.

A Practical Next Step

Try these three before moving on to logarithmic equations.

  1. Simplify log⁡100+log⁡10\log 100 + \log 10 using the product rule.

  2. Simplify log⁡2(64)−log⁡2(8)\log_2(64) - \log_2(8) using the quotient rule.

  3. Compute log⁡3(81)\log_3(81) — without a calculator.

If problem 3 confused you, use the definition: log⁡3(81)\log_3(81) asks "what power of 3 gives 81?" and 34=813^4 = 81. Want a live Bhanzu trainer to walk through more log problems? Book a free demo class — online globally.

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Frequently Asked Questions

What are the 7 properties of logarithms?
The seven core properties: product (log⁡b(xy)=log⁡bx+log⁡by\log_b(xy) = \log_b x + \log_b y), quotient (log⁡b(x/y)=log⁡bx−log⁡by\log_b(x/y) = \log_b x - \log_b y), power (log⁡b(xn)=nlog⁡bx\log_b(x^n) = n \log_b x), change of base, log of 1 (log⁡b1=0\log_b 1 = 0), log of base (log⁡bb=1\log_b b = 1), and log of base power (log⁡b(bn)=n\log_b(b^n) = n).
What is the change-of-base formula?
log⁡bx=log⁡cxlog⁡cb\log_b x = \frac{\log_c x}{\log_c b} for any valid base cc. The most common change is to base 10 or base ee because calculators support them directly.
Is log⁡(x+y)=log⁡x+log⁡y\log(x + y) = \log x + \log y?
No. This is the single most common log mistake. The product rule applies to log⁡(xy)\log(xy) — a product inside the log — not to a sum. log⁡(x+y)\log(x + y) doesn't simplify.
Why is log⁡b1=0\log_b 1 = 0?
Because b0=1b^0 = 1 for any non-zero base bb. The logarithm asks "what power gives me 1?" — and the answer is always 0.
What is the difference between log⁡\log and ln⁡\ln?
log⁡\log usually means base-10 logarithm (the common log). ln⁡\ln means base-ee logarithm (the natural log), where e≈2.71828e \approx 2.71828. All seven properties hold for both. Engineering and pure math lean on ln⁡\ln; chemistry and physics often use log⁡\log for pH and decibel scales.
How are the properties of logarithms used in real life?
Logarithmic scales describe earthquake magnitude (Richter), sound intensity (decibels), acid concentration (pH), star brightness (stellar magnitude), and information content (bits). The properties are how chemists, physicists, audio engineers, seismologists, and data scientists actually compute with these scales.
✍️ Written By
Madhukar V
Madhukar V
Math Columnist & Analyst
I see mathematics as more than just numbers and formulas—it is a way of thinking, questioning, and understanding the world around us. I work at the intersection of mathematics, EdTech, technology, and AI-powered learning, I enjoy exploring how mathematical ideas can be made simple, meaningful, and relatable. Through my articles, I aim to present mathematics with curiosity and a practical perspective, helping readers see the beauty and relevance behind every concept in a Bhanzu way.
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