Logarithms are the inverse operation of exponentiation and play a central role in the DSE
Mathematics compulsory syllabus. They arise naturally when solving exponential equations, modelling
growth and decay, and simplifying multiplicative structures into additive ones. This topic builds
directly on the properties of exponential functions and
connects to geometric sequences and series ) in applications involving
compound growth.
Definition of Logarithms
Logarithmic Notation
For a > 0 a \gt{} 0 a > 0 , a ≠ 1 a \neq 1 a = 1 , and x > 0 x \gt{} 0 x > 0 , the logarithmic statement
log a x = y \log_a x = y log a x = y
is defined to be equivalent to the exponential statement
a y = x . a^y = x. a y = x .
In words: "log a x \log_a x log a x " is the power to which a a a must be raised to obtain x x x . The number a a a is
called the base of the logarithm, and x x x is the argument .
The two conditions on the base arise because:
If a = 1 a = 1 a = 1 , then 1 y = 1 1^y = 1 1 y = 1 for all y y y , so no unique logarithm exists.
If a ≤ 0 a \leq 0 a ≤ 0 , then a y a^y a y is not defined for all real y y y (e.g. ( − 2 ) 1 / 2 (-2)^{1/2} ( − 2 ) 1/2 is not real).
The condition x > 0 x \gt{} 0 x > 0 follows from the fact that a y > 0 a^y \gt{} 0 a y > 0 for all real y y y when
a > 0 a \gt{} 0 a > 0 , so the logarithm is only defined for positive arguments.
Special Cases
Several special values follow immediately from the definition:
log a 1 = 0 s i n c e a 0 = 1 \log_a 1 = 0 \quad \mathrm{since } a^0 = 1 log a 1 = 0 since a 0 = 1
log a a = 1 s i n c e a 1 = a \log_a a = 1 \quad \mathrm{since } a^1 = a log a a = 1 since a 1 = a
log a a k = k s i n c e a k = a k \log_a a^k = k \quad \mathrm{since } a^k = a^k log a a k = k since a k = a k
Additionally, for any base a > 0 a \gt{} 0 a > 0 with a ≠ 1 a \neq 1 a = 1 :
a log a x = x ( x > 0 ) a^{\log_a x} = x \quad (x \gt{} 0) a l o g a x = x ( x > 0 )
log a ( a y ) = y ( y ∈ ′ { ′ R ′ } ′ ) \log_a(a^y) = y \quad (y \in \mathbb{'\{'}R{'\}'}) log a ( a y ) = y ( y ∈ ′ { ′ R ′ } ′ )
These two identities express the fact that the logarithmic and exponential functions are
inverses of each other.
Examples
log 2 8 = 3 \log_2 8 = 3 log 2 8 = 3 since 2 3 = 8 2^3 = 8 2 3 = 8 .
log 3 81 = 4 \log_3 81 = 4 log 3 81 = 4 since 3 4 = 81 3^4 = 81 3 4 = 81 .
log 5 1 = 0 \log_5 1 = 0 log 5 1 = 0 since 5 0 = 1 5^0 = 1 5 0 = 1 .
log 7 7 = 1 \log_7 7 = 1 log 7 7 = 1 since 7 1 = 7 7^1 = 7 7 1 = 7 .
log 10 1000 = 3 \log_{10} 1000 = 3 log 10 1000 = 3 since 10 3 = 1000 10^3 = 1000 1 0 3 = 1000 .
log 2 1 8 = − 3 \log_2 \frac{1}{8} = -3 log 2 8 1 = − 3 since 2 − 3 = 1 8 2^{-3} = \frac{1}{8} 2 − 3 = 8 1 .
Laws of Logarithms
The following laws are essential for manipulating logarithmic expressions. In all cases,
a > 0 a \gt{} 0 a > 0 , a ≠ 1 a \neq 1 a = 1 , and the arguments of all logarithms are positive.
Product Rule
log a ( x y ) = log a x + log a y \log_a(xy) = \log_a x + \log_a y log a ( x y ) = log a x + log a y
Derivation. Let m = log a x m = \log_a x m = log a x and n = log a y n = \log_a y n = log a y , so that a m = x a^m = x a m = x and a n = y a^n = y a n = y . Then:
x y = a m ⋅ a n = a m + n xy = a^m \cdot a^n = a^{m+n} x y = a m ⋅ a n = a m + n
By the definition of logarithms, log a ( x y ) = m + n = log a x + log a y \log_a(xy) = m + n = \log_a x + \log_a y log a ( x y ) = m + n = log a x + log a y .
Quotient Rule
log a x y = log a x − log a y \log_a \frac{x}{y} = \log_a x - \log_a y log a y x = log a x − log a y
Derivation. Similarly, let m = log a x m = \log_a x m = log a x and n = log a y n = \log_a y n = log a y :
x y = a m a n = a m − n \frac{x}{y} = \frac{a^m}{a^n} = a^{m-n} y x = a n a m = a m − n
Therefore log a x y = m − n = log a x − log a y \log_a \dfrac{x}{y} = m - n = \log_a x - \log_a y log a y x = m − n = log a x − log a y .
Power Rule
log a ( x n ) = n log a x \log_a(x^n) = n \log_a x log a ( x n ) = n log a x
Derivation. Let m = log a x m = \log_a x m = log a x , so that a m = x a^m = x a m = x . Then:
x n = ( a m ) n = a m n x^n = (a^m)^n = a^{mn} x n = ( a m ) n = a mn
Therefore log a ( x n ) = m n = n log a x \log_a(x^n) = mn = n \log_a x log a ( x n ) = mn = n log a x .
For any positive c ≠ 1 c \neq 1 c = 1 :
log a b = log c b log c a \log_a b = \frac{\log_c b}{\log_c a} log a b = log c a log c b
Derivation. Let y = log a b y = \log_a b y = log a b , so that a y = b a^y = b a y = b . Taking logarithms base c c c of both sides:
log c ( a y ) = log c b \log_c(a^y) = \log_c b log c ( a y ) = log c b
By the power rule, y log c a = log c b y \log_c a = \log_c b y log c a = log c b , hence:
y = log c b log c a y = \frac{\log_c b}{\log_c a} y = log c a log c b
A commonly used special case is the change to base 10:
log a b = log 10 b log 10 a \log_a b = \frac{\log_{10} b}{\log_{10} a} log a b = log 10 a log 10 b
Examples
log 2 6 + log 2 3 = log 2 ( 6 × 3 ) = log 2 18 \log_2 6 + \log_2 3 = \log_2(6 \times 3) = \log_2 18 log 2 6 + log 2 3 = log 2 ( 6 × 3 ) = log 2 18 .
log 3 54 − log 3 2 = log 3 54 2 = log 3 27 = 3 \log_3 54 - \log_3 2 = \log_3 \dfrac{54}{2} = \log_3 27 = 3 log 3 54 − log 3 2 = log 3 2 54 = log 3 27 = 3 .
3 log 5 2 = log 5 ( 2 3 ) = log 5 8 3\log_5 2 = \log_5(2^3) = \log_5 8 3 log 5 2 = log 5 ( 2 3 ) = log 5 8 .
log 4 9 = log 10 9 log 10 4 = 2 log 10 3 2 log 10 2 = log 10 3 log 10 2 \log_4 9 = \dfrac{\log_{10} 9}{\log_{10} 4} = \dfrac{2\log_{10} 3}{2\log_{10} 2} = \dfrac{\log_{10} 3}{\log_{10} 2} log 4 9 = log 10 4 log 10 9 = 2 log 10 2 2 log 10 3 = log 10 2 log 10 3 .
A Note on Invalid Manipulations
A common error is to distribute a logarithm over addition or subtraction:
log a ( x + y ) ≠ log a x + log a y \log_a(x + y) \neq \log_a x + \log_a y log a ( x + y ) = log a x + log a y
log a ( x − y ) ≠ log a x − log a y \log_a(x - y) \neq \log_a x - \log_a y log a ( x − y ) = log a x − log a y
The product and quotient rules only apply to products and quotients inside the logarithm, not to
sums or differences.
Common and Natural Logarithms
Common Logarithm (Base 10)
The common logarithm of x x x , written log 10 x \log_{10} x log 10 x (or simply log x \log x log x in many DSE contexts), is
the logarithm with base 10. It is the default logarithm on most calculators and is widely used in
scientific measurement scales.
Natural Logarithm (Base e e e )
The natural logarithm of x x x , written ln x = log e x \ln x = \log_e x ln x = log e x , uses the base e ≈ 2.71828 e \approx 2.71828 e ≈ 2.71828 . The
number e e e is defined as:
e = lim n → ∞ ( 1 + 1 n ) n e = \lim_{n \to \infty} \left(1 + \frac{1}{n}\right)^n e = n → ∞ lim ( 1 + n 1 ) n
The natural logarithm arises naturally in calculus and in continuous growth models. Its importance
stems from the fact that the derivative of ln x \ln x ln x is 1 x \frac{1}{x} x 1 , making it the unique logarithm
with this property.
Relationship to Exponential Functions
The exponential and logarithmic functions are inverse functions
of each other. This means their graphs are reflections of each other across the line y = x y = x y = x .
Property y = a x y = a^x y = a x (exponential)y = log a x y = \log_a x y = log a x (logarithmic)Domain ′ { ′ R ′ } ′ \mathbb{'\{'}R{'\}'} ′ { ′ R ′ } ′ ( 0 , ∞ ) (0, \infty) ( 0 , ∞ ) Range ( 0 , ∞ ) (0, \infty) ( 0 , ∞ ) ′ { ′ R ′ } ′ \mathbb{'\{'}R{'\}'} ′ { ′ R ′ } ′ x x x -intercept( 0 , 1 ) (0, 1) ( 0 , 1 ) (since a 0 = 1 a^0 = 1 a 0 = 1 )( 1 , 0 ) (1, 0) ( 1 , 0 ) (since log a 1 = 0 \log_a 1 = 0 log a 1 = 0 )Asymptote Horizontal: y = 0 y = 0 y = 0 Vertical: x = 0 x = 0 x = 0 Monotonicity Strictly increasing when a > 1 a \gt{} 1 a > 1 Strictly increasing when a > 1 a \gt{} 1 a > 1
When 0 < a < 1 0 \lt{} a \lt{} 1 0 < a < 1 , both functions are strictly decreasing.
Examples
log 1000 = 3 \log 1000 = 3 log 1000 = 3 since 10 3 = 1000 10^3 = 1000 1 0 3 = 1000 .
log 0.01 = − 2 \log 0.01 = -2 log 0.01 = − 2 since 10 − 2 = 0.01 10^{-2} = 0.01 1 0 − 2 = 0.01 .
ln e 5 = 5 \ln e^5 = 5 ln e 5 = 5 by the special case log a a k = k \log_a a^k = k log a a k = k .
ln 1 = 0 \ln 1 = 0 ln 1 = 0 since e 0 = 1 e^0 = 1 e 0 = 1 .
e ln 7 = 7 e^{\ln 7} = 7 e l n 7 = 7 by the inverse property.
Solving Logarithmic Equations
General Strategy
To solve equations involving logarithms:
Combine logarithmic terms using the laws of logarithms where possible.
Rewrite the equation in the form log a ( e x p r e s s i o n ) = k \log_a(\mathrm{expression}) = k log a ( expression ) = k .
Convert to exponential form: e x p r e s s i o n = a k \mathrm{expression} = a^k expression = a k .
Solve the resulting algebraic equation.
Check all solutions against the domain restriction : every argument of a logarithm must be
positive.
Domain Restrictions
Before solving, always identify the domain. For an equation containing log a f ( x ) \log_a f(x) log a f ( x ) , we require
f ( x ) > 0 f(x) \gt{} 0 f ( x ) > 0 . Solutions that violate this condition are extraneous and must be discarded.
Common Mistakes
Forgetting to check that arguments are positive.
Applying logarithm laws to sums (e.g., writing log ( x + 3 ) \log(x + 3) log ( x + 3 ) as log x + log 3 \log x + \log 3 log x + log 3 ).
Dropping the base or confusing bases during a multi-step solution.
Squaring both sides of an equation and introducing extraneous solutions.
Examples Example 1. Solve log 3 ( x + 2 ) + log 3 ( x − 6 ) = 3 \log_3(x + 2) + \log_3(x - 6) = 3 log 3 ( x + 2 ) + log 3 ( x − 6 ) = 3 .
Domain: x + 2 > 0 x + 2 \gt{} 0 x + 2 > 0 and x − 6 > 0 x - 6 \gt{} 0 x − 6 > 0 , so x > 6 x \gt{} 6 x > 6 .
Combine: log 3 [ ( x + 2 ) ( x − 6 ) ] = 3 \log_3[(x+2)(x-6)] = 3 log 3 [( x + 2 ) ( x − 6 )] = 3 .
Convert: ( x + 2 ) ( x − 6 ) = 3 3 = 27 (x+2)(x-6) = 3^3 = 27 ( x + 2 ) ( x − 6 ) = 3 3 = 27 .
Expand: x 2 − 4 x − 12 = 27 x^2 - 4x - 12 = 27 x 2 − 4 x − 12 = 27 , so x 2 − 4 x − 39 = 0 x^2 - 4x - 39 = 0 x 2 − 4 x − 39 = 0 .
Quadratic formula:
x = 4 ± 16 + 156 2 = 4 ± 172 2 = 2 ± 43 x = \dfrac{4 \pm \sqrt{16 + 156}}{2} = \dfrac{4 \pm \sqrt{172}}{2} = 2 \pm \sqrt{43} x = 2 4 ± 16 + 156 = 2 4 ± 172 = 2 ± 43 .
Since x > 6 x \gt{} 6 x > 6 , only x = 2 + 43 x = 2 + \sqrt{43} x = 2 + 43 is accepted.
Example 2. Solve log 2 ( x ) − log 2 ( x − 2 ) = 3 \log_2(x) - \log_2(x - 2) = 3 log 2 ( x ) − log 2 ( x − 2 ) = 3 .
Domain: x > 0 x \gt{} 0 x > 0 and x > 2 x \gt{} 2 x > 2 , so x > 2 x \gt{} 2 x > 2 .
Quotient rule: log 2 x x − 2 = 3 \log_2 \dfrac{x}{x-2} = 3 log 2 x − 2 x = 3 .
Convert: x x − 2 = 2 3 = 8 \dfrac{x}{x-2} = 2^3 = 8 x − 2 x = 2 3 = 8 .
Solve: x = 8 x − 16 x = 8x - 16 x = 8 x − 16 , so 7 x = 16 7x = 16 7 x = 16 , hence x = 16 7 x = \dfrac{16}{7} x = 7 16 .
Check: 16 7 > 2 \dfrac{16}{7} \gt{} 2 7 16 > 2 is satisfied.
Solving Exponential Equations
Taking Logarithms of Both Sides
When an equation involves terms of the form a f ( x ) a^{f(x)} a f ( x ) , taking logarithms of both sides can convert
the equation from exponential to algebraic form. The choice of base is flexible; in the DSE, base 10
is most common since calculators provide direct access to log 10 \log_{10} log 10 .
When the equation involves different bases, rewrite all terms using the same base or apply the
change of base formula to bring all logarithms to a common base.
General Strategy
Isolate the exponential term if possible.
Take logarithms of both sides.
Use the power rule to bring down exponents.
Solve the resulting linear (or polynomial) equation.
Examples Example 1. Solve 3 2 x + 1 = 7 3^{2x+1} = 7 3 2 x + 1 = 7 .
Take log \log log of both sides: log ( 3 2 x + 1 ) = log 7 \log(3^{2x+1}) = \log 7 log ( 3 2 x + 1 ) = log 7 .
Power rule: ( 2 x + 1 ) log 3 = log 7 (2x+1)\log 3 = \log 7 ( 2 x + 1 ) log 3 = log 7 .
Solve: 2 x + 1 = log 7 log 3 2x + 1 = \dfrac{\log 7}{\log 3} 2 x + 1 = log 3 log 7 , so
x = 1 2 ( log 7 log 3 − 1 ) x = \dfrac{1}{2}\left(\dfrac{\log 7}{\log 3} - 1\right) x = 2 1 ( log 3 log 7 − 1 ) .
Example 2. Solve 5 x = 2 x + 3 5^{x} = 2^{x+3} 5 x = 2 x + 3 .
Take log \log log of both sides: log ( 5 x ) = log ( 2 x + 3 ) \log(5^x) = \log(2^{x+3}) log ( 5 x ) = log ( 2 x + 3 ) .
Power rule: x log 5 = ( x + 3 ) log 2 x\log 5 = (x+3)\log 2 x log 5 = ( x + 3 ) log 2 .
Expand: x log 5 = x log 2 + 3 log 2 x\log 5 = x\log 2 + 3\log 2 x log 5 = x log 2 + 3 log 2 .
Collect: x ( log 5 − log 2 ) = 3 log 2 x(\log 5 - \log 2) = 3\log 2 x ( log 5 − log 2 ) = 3 log 2 .
Solve: x = 3 log 2 log 5 − log 2 = 3 log 2 log 5 2 x = \dfrac{3\log 2}{\log 5 - \log 2} = \dfrac{3\log 2}{\log \frac{5}{2}} x = log 5 − log 2 3 log 2 = log 2 5 3 log 2 .
Example 3. Solve 4 x − 2 x + 1 − 3 = 0 4^{x} - 2^{x+1} - 3 = 0 4 x − 2 x + 1 − 3 = 0 .
Note 4 x = ( 2 2 ) x = 2 2 x 4^x = (2^2)^x = 2^{2x} 4 x = ( 2 2 ) x = 2 2 x . Let u = 2 x u = 2^x u = 2 x (u > 0 u \gt{} 0 u > 0 ).
Substitute: u 2 − 2 u − 3 = 0 u^2 - 2u - 3 = 0 u 2 − 2 u − 3 = 0 .
Factor: ( u − 3 ) ( u + 1 ) = 0 (u - 3)(u + 1) = 0 ( u − 3 ) ( u + 1 ) = 0 , so u = 3 u = 3 u = 3 or u = − 1 u = -1 u = − 1 .
Since u > 0 u \gt{} 0 u > 0 , only u = 3 u = 3 u = 3 , giving 2 x = 3 2^x = 3 2 x = 3 .
Take log \log log : x log 2 = log 3 x\log 2 = \log 3 x log 2 = log 3 , so x = log 3 log 2 x = \dfrac{\log 3}{\log 2} x = log 2 log 3 .
Applications
pH Scale
The pH of a solution is defined as:
p H = − log 10 [ H + ] \mathrm{pH} = -\log_{10}[\mathrm{H}^+] pH = − log 10 [ H + ]
where [ H + ] [\mathrm{H}^+] [ H + ] is the concentration of hydrogen ions (in mol/L). A lower pH means a higher
concentration of hydrogen ions and therefore a more acidic solution.
A neutral solution (pure water) has [ H + ] = 10 − 7 [\mathrm{H}^+] = 10^{-7} [ H + ] = 1 0 − 7 mol/L, giving p H = 7 \mathrm{pH} = 7 pH = 7 .
Acidic solutions have p H < 7 \mathrm{pH} \lt{} 7 pH < 7 ; alkaline solutions have p H > 7 \mathrm{pH} \gt{} 7 pH > 7 .
The scale is logarithmic: a decrease of 1 in pH corresponds to a tenfold increase in
[ H + ] [\mathrm{H}^+] [ H + ] .
Example A solution has [ H + ] = 2.5 × 10 − 4 [\mathrm{H}^+] = 2.5 \times 10^{-4} [ H + ] = 2.5 × 1 0 − 4 mol/L. Find its pH.
p H = − log ( 2.5 × 10 − 4 ) = − ( log 2.5 + log 10 − 4 ) = − ( log 2.5 − 4 ) = 4 − log 2.5 ≈ 3.60 \mathrm{pH} = -\log(2.5 \times 10^{-4}) = -\left(\log 2.5 + \log 10^{-4}\right) = -(\log 2.5 - 4) = 4 - \log 2.5 \approx 3.60 pH = − log ( 2.5 × 1 0 − 4 ) = − ( log 2.5 + log 1 0 − 4 ) = − ( log 2.5 − 4 ) = 4 − log 2.5 ≈ 3.60
Richter Scale
The Richter magnitude M M M of an earthquake is defined as:
M = log 10 I I 0 M = \log_{10} \frac{I}{I_0} M = log 10 I 0 I
where I I I is the amplitude of seismic waves and I 0 I_0 I 0 is a reference amplitude (the amplitude of a
"standard" earthquake).
Because the scale is logarithmic base 10, an earthquake of magnitude 6 is ten times more powerful
than one of magnitude 5, and one hundred times more powerful than one of magnitude 4.
Example An earthquake has amplitude 5000 5000 5000 times the reference. Its magnitude is:
M = log 10 5000 = log 10 ( 5 × 10 3 ) = 3 + log 10 5 ≈ 3.70 M = \log_{10} 5000 = \log_{10}(5 \times 10^3) = 3 + \log_{10} 5 \approx 3.70 M = log 10 5000 = log 10 ( 5 × 1 0 3 ) = 3 + log 10 5 ≈ 3.70
Compound Interest
The compound interest formula is closely related to logarithms and
geometric sequences ). If a principal P P P is invested at an annual rate
r % r\% r % compounded n n n times per year for t t t years, the accumulated amount A A A is:
A = P ( 1 + r 100 n ) n t A = P\left(1 + \frac{r}{100n}\right)^{nt} A = P ( 1 + 100 n r ) n t
To find the time t t t required to reach a target amount A A A , take logarithms of both sides:
A = P ( 1 + r 100 n ) n t log A = log P + n t ⋅ log ( 1 + r 100 n ) t = log A − log P n ⋅ log ( 1 + r 100 n ) \begin{aligned}
A &= P\left(1 + \frac{r}{100n}\right)^{nt} \\
\log A &= \log P + nt \cdot \log\left(1 + \frac{r}{100n}\right) \\
t &= \frac{\log A - \log P}{n \cdot \log\left(1 + \frac{r}{100n}\right)}
\end{aligned} A log A t = P ( 1 + 100 n r ) n t = log P + n t ⋅ log ( 1 + 100 n r ) = n ⋅ log ( 1 + 100 n r ) log A − log P
Example \ 10,000i s i n v e s t e d a t is invested at i s in v es t e d a t 5%$ per annum, compounded annually. How long does it take for the
investment to double?
Set A = 2 P = 20 , 000 A = 2P = 20,000 A = 2 P = 20 , 000 , P = 10 , 000 P = 10,000 P = 10 , 000 , r = 5 r = 5 r = 5 , n = 1 n = 1 n = 1 .
20000 = 10000 ( 1.05 ) t 20000 = 10000(1.05)^t 20000 = 10000 ( 1.05 ) t , so 2 = ( 1.05 ) t 2 = (1.05)^t 2 = ( 1.05 ) t .
Take log \log log : log 2 = t log 1.05 \log 2 = t \log 1.05 log 2 = t log 1.05 .
t = log 2 log 1.05 ≈ 14.2 t = \dfrac{\log 2}{\log 1.05} \approx 14.2 t = log 1.05 log 2 ≈ 14.2 years.
Exponential Growth and Decay
Many natural processes follow exponential models:
Growth: N ( t ) = N 0 ⋅ a t N(t) = N_0 \cdot a^t N ( t ) = N 0 ⋅ a t where a > 1 a \gt{} 1 a > 1 (e.g., population growth, bacterial
reproduction).
Decay: N ( t ) = N 0 ⋅ a t N(t) = N_0 \cdot a^t N ( t ) = N 0 ⋅ a t where 0 < a < 1 0 \lt{} a \lt{} 1 0 < a < 1 (e.g., radioactive decay, cooling).
The half-life T T T of a decaying quantity is the time for the quantity to reduce to half its
initial value. For N ( t ) = N 0 ⋅ a t N(t) = N_0 \cdot a^t N ( t ) = N 0 ⋅ a t :
1 2 = a T ⟹ T = log ( 1 / 2 ) log a = − log 2 log a \frac{1}{2} = a^T \implies T = \frac{\log(1/2)}{\log a} = -\frac{\log 2}{\log a} 2 1 = a T ⟹ T = log a log ( 1/2 ) = − log a log 2
For continuous decay with rate k k k : N ( t ) = N 0 e − k t N(t) = N_0 e^{-kt} N ( t ) = N 0 e − k t , and the half-life is:
T = ln 2 k T = \frac{\ln 2}{k} T = k ln 2
Example A radioactive substance decays such that its mass after t t t years is given by
M ( t ) = 500 ⋅ ( 0.92 ) t M(t) = 500 \cdot (0.92)^t M ( t ) = 500 ⋅ ( 0.92 ) t grams. Find the half-life.
Set M ( T ) = 250 M(T) = 250 M ( T ) = 250 : 250 = 500 ⋅ ( 0.92 ) T 250 = 500 \cdot (0.92)^T 250 = 500 ⋅ ( 0.92 ) T .
0.5 = ( 0.92 ) T 0.5 = (0.92)^T 0.5 = ( 0.92 ) T .
T = log 0.5 log 0.92 = − 0.3010 − 0.0362 ≈ 8.31 T = \dfrac{\log 0.5}{\log 0.92} = \dfrac{-0.3010}{-0.0362} \approx 8.31 T = log 0.92 log 0.5 = − 0.0362 − 0.3010 ≈ 8.31 years.
Logarithmic and Exponential Inequalities
Inequalities involving logarithms require careful attention to the behaviour of the logarithmic
function, which depends on whether the base is greater than or less than 1.
Case 1: Base a > 1 a \gt{} 1 a > 1
When a > 1 a > 1 a > 1 , log a x \log_a x log a x is strictly increasing, so the inequality sign is preserved :
log a x > log a y ⟺ x > y \log_a x \gt{} \log_a y \iff x \gt{} y log a x > log a y ⟺ x > y
Case 2: Base 0 < a < 1 0 \lt{} a \lt{} 1 0 < a < 1
When 0 < a < 1 0 < a < 1 0 < a < 1 , log a x \log_a x log a x is strictly decreasing, so the inequality sign is reversed :
log a x > log a y ⟺ x < y \log_a x \gt{} \log_a y \iff x \lt{} y log a x > log a y ⟺ x < y
Examples Example 1. Solve log 2 ( 3 x − 1 ) < 4 \log_2(3x - 1) < 4 log 2 ( 3 x − 1 ) < 4 .
Since the base 2 > 1 2 > 1 2 > 1 , the inequality sign is preserved: 3 x − 1 < 2 4 = 16 3x - 1 < 2^4 = 16 3 x − 1 < 2 4 = 16 .
3 x < 17 3x < 17 3 x < 17 , so x < 17 3 x < \dfrac{17}{3} x < 3 17 .
Domain: 3 x − 1 > 0 ⟹ x > 1 3 3x - 1 > 0 \implies x > \dfrac{1}{3} 3 x − 1 > 0 ⟹ x > 3 1 .
Solution: 1 3 < x < 17 3 \dfrac{1}{3} < x < \dfrac{17}{3} 3 1 < x < 3 17 .
Example 2. Solve log 1 / 2 ( x + 3 ) ≥ 1 \log_{1/2}(x + 3) \geq 1 log 1/2 ( x + 3 ) ≥ 1 .
Since the base 1 2 < 1 \frac{1}{2} < 1 2 1 < 1 , the inequality sign is reversed:
x + 3 ≤ ( 1 2 ) 1 = 1 2 x + 3 \leq \left(\frac{1}{2}\right)^1 = \frac{1}{2} x + 3 ≤ ( 2 1 ) 1 = 2 1 .
x ≤ − 5 2 x \leq -\dfrac{5}{2} x ≤ − 2 5 .
Domain: x + 3 > 0 ⟹ x > − 3 x + 3 > 0 \implies x > -3 x + 3 > 0 ⟹ x > − 3 .
Solution: − 3 < x ≤ − 5 2 -3 < x \leq -\dfrac{5}{2} − 3 < x ≤ − 2 5 .
Graphical Properties of y = log a x y = \log_a x y = log a x
The graph of y = log a x y = \log_a x y = log a x has the following characteristics:
Passes through the point ( 1 , 0 ) (1, 0) ( 1 , 0 ) since log a 1 = 0 \log_a 1 = 0 log a 1 = 0 .
Passes through the point ( a , 1 ) (a, 1) ( a , 1 ) since log a a = 1 \log_a a = 1 log a a = 1 .
Has a vertical asymptote at x = 0 x = 0 x = 0 .
When a > 1 a > 1 a > 1 , the function is strictly increasing and concave down.
When 0 < a < 1 0 < a < 1 0 < a < 1 , the function is strictly decreasing and concave up.
The function is defined only for x > 0 x > 0 x > 0 .
Adjust the base a a a to see how the shape of the logarithmic curve changes between a > 1 a > 1 a > 1 and
0 < a < 1 0 < a < 1 0 < a < 1 .
The standard transformations apply, following the same principles as for other
functions ):
Transformation Effect y = log a x + c y = \log_a x + c y = log a x + c Vertical shift by c c c units y = log a ( x − h ) y = \log_a(x - h) y = log a ( x − h ) Horizontal shift by h h h units y = − log a x y = -\log_a x y = − log a x Reflection in the x x x -axis y = log a ( − x ) y = \log_a(-x) y = log a ( − x ) Reflection in the y y y -axis (domain becomes x < 0 x < 0 x < 0 ) y = k log a x y = k\log_a x y = k log a x Vertical stretch by factor k k k
Example Sketch y = log 2 ( x − 3 ) + 1 y = \log_2(x - 3) + 1 y = log 2 ( x − 3 ) + 1 .
Start from y = log 2 x y = \log_2 x y = log 2 x .
Shift right by 3 units: the vertical asymptote moves from x = 0 x = 0 x = 0 to x = 3 x = 3 x = 3 .
Shift up by 1 unit: the x x x -intercept moves from ( 1 , 0 ) (1, 0) ( 1 , 0 ) to ( 1 + 3 , 0 + 1 ) = ( 4 , 1 ) (1+3, 0+1) = (4, 1) ( 1 + 3 , 0 + 1 ) = ( 4 , 1 ) .
The new x x x -intercept satisfies log 2 ( x − 3 ) + 1 = 0 \log_2(x - 3) + 1 = 0 log 2 ( x − 3 ) + 1 = 0 , i.e. log 2 ( x − 3 ) = − 1 \log_2(x-3) = -1 log 2 ( x − 3 ) = − 1 , giving
x − 3 = 1 2 x - 3 = \frac{1}{2} x − 3 = 2 1 , so x = 3.5 x = 3.5 x = 3.5 .
Domain: x > 3 x > 3 x > 3 .
Wrap-up Questions
Question 1. Solve log 3 ( x 2 − 4 ) − log 3 ( x + 2 ) = 1 \log_3(x^2 - 4) - \log_3(x + 2) = 1 log 3 ( x 2 − 4 ) − log 3 ( x + 2 ) = 1 .
Answer
Domain: x 2 − 4 > 0 x^2 - 4 > 0 x 2 − 4 > 0 and x + 2 > 0 x + 2 > 0 x + 2 > 0 , so x > 2 x > 2 x > 2 .
Quotient rule: log 3 x 2 − 4 x + 2 = 1 \log_3 \dfrac{x^2 - 4}{x + 2} = 1 log 3 x + 2 x 2 − 4 = 1 .
Factor numerator: ( x − 2 ) ( x + 2 ) x + 2 = x − 2 \dfrac{(x-2)(x+2)}{x+2} = x - 2 x + 2 ( x − 2 ) ( x + 2 ) = x − 2 (valid since x ≠ − 2 x \neq -2 x = − 2 ).
Convert: x − 2 = 3 1 = 3 x - 2 = 3^1 = 3 x − 2 = 3 1 = 3 , so x = 5 x = 5 x = 5 .
Check: 5 > 2 5 > 2 5 > 2 is satisfied. Solution: x = 5 x = 5 x = 5 .
Question 2. Solve 2 3 x − 1 = 5 x + 1 2^{3x-1} = 5^{x+1} 2 3 x − 1 = 5 x + 1 . Give your answer in terms of logarithms.
Answer
Take log \log log of both sides: log ( 2 3 x − 1 ) = log ( 5 x + 1 ) \log(2^{3x-1}) = \log(5^{x+1}) log ( 2 3 x − 1 ) = log ( 5 x + 1 ) .
Power rule: ( 3 x − 1 ) log 2 = ( x + 1 ) log 5 (3x - 1)\log 2 = (x + 1)\log 5 ( 3 x − 1 ) log 2 = ( x + 1 ) log 5 .
Expand: 3 x log 2 − log 2 = x log 5 + log 5 3x\log 2 - \log 2 = x\log 5 + \log 5 3 x log 2 − log 2 = x log 5 + log 5 .
Collect x x x terms: x ( 3 log 2 − log 5 ) = log 5 + log 2 x(3\log 2 - \log 5) = \log 5 + \log 2 x ( 3 log 2 − log 5 ) = log 5 + log 2 .
x = log 5 + log 2 3 log 2 − log 5 = log 10 3 log 2 − log 5 = 1 3 log 2 − log 5 x = \dfrac{\log 5 + \log 2}{3\log 2 - \log 5} = \dfrac{\log 10}{3\log 2 - \log 5} = \dfrac{1}{3\log 2 - \log 5} x = 3 log 2 − log 5 log 5 + log 2 = 3 log 2 − log 5 log 10 = 3 log 2 − log 5 1 .
Question 3. Simplify log 8 27 log 8 9 \dfrac{\log_8 27}{\log_8 9} log 8 9 log 8 27 without using a calculator.
Answer
Let the expression equal y y y . By the change of base formula, y = log 9 27 y = \log_9 27 y = log 9 27 .
Write bases and argument as powers of 3: y = log 3 27 log 3 9 = 3 2 y = \dfrac{\log_3 27}{\log_3 9} = \dfrac{3}{2} y = log 3 9 log 3 27 = 2 3 .
Alternatively: log 8 27 = log 27 log 8 = 3 log 3 3 log 2 \log_8 27 = \dfrac{\log 27}{\log 8} = \dfrac{3\log 3}{3\log 2} log 8 27 = log 8 log 27 = 3 log 2 3 log 3 and
log 8 9 = 2 log 3 3 log 2 \log_8 9 = \dfrac{2\log 3}{3\log 2} log 8 9 = 3 log 2 2 log 3 , so the ratio is
3 log 3 / ( 3 log 2 ) 2 log 3 / ( 3 log 2 ) = 3 2 \dfrac{3\log 3 / (3\log 2)}{2\log 3 / (3\log 2)} = \dfrac{3}{2} 2 log 3/ ( 3 log 2 ) 3 log 3/ ( 3 log 2 ) = 2 3 .
Question 4. The population of a bacteria culture grows exponentially. At 12:00, the population
is 10 , 000 10,000 10 , 000 . At 14:00, the population is 40 , 000 40,000 40 , 000 . Find the population at 17:00.
Answer
Model: P ( t ) = P 0 ⋅ a t P(t) = P_0 \cdot a^t P ( t ) = P 0 ⋅ a t where t t t is in hours from 12:00.
At t = 0 t = 0 t = 0 : P 0 = 10 , 000 P_0 = 10,000 P 0 = 10 , 000 .
At t = 2 t = 2 t = 2 : 40 , 000 = 10 , 000 ⋅ a 2 40,000 = 10,000 \cdot a^2 40 , 000 = 10 , 000 ⋅ a 2 , so a 2 = 4 a^2 = 4 a 2 = 4 , giving a = 2 a = 2 a = 2 .
At t = 5 t = 5 t = 5 (17:00): P ( 5 ) = 10 , 000 ⋅ 2 5 = 320 , 000 P(5) = 10,000 \cdot 2^5 = 320,000 P ( 5 ) = 10 , 000 ⋅ 2 5 = 320 , 000 .
Question 5. Solve 9 x − 6 ⋅ 3 x − 27 = 0 9^x - 6 \cdot 3^x - 27 = 0 9 x − 6 ⋅ 3 x − 27 = 0 .
Answer
Note 9 x = ( 3 2 ) x = 3 2 x = ( 3 x ) 2 9^x = (3^2)^x = 3^{2x} = (3^x)^2 9 x = ( 3 2 ) x = 3 2 x = ( 3 x ) 2 . Let u = 3 x u = 3^x u = 3 x (u > 0 u > 0 u > 0 ).
Substitute: u 2 − 6 u − 27 = 0 u^2 - 6u - 27 = 0 u 2 − 6 u − 27 = 0 .
Factor: ( u − 9 ) ( u + 3 ) = 0 (u - 9)(u + 3) = 0 ( u − 9 ) ( u + 3 ) = 0 , so u = 9 u = 9 u = 9 or u = − 3 u = -3 u = − 3 .
Since u > 0 u > 0 u > 0 , only u = 9 u = 9 u = 9 , giving 3 x = 9 = 3 2 3^x = 9 = 3^2 3 x = 9 = 3 2 , so x = 2 x = 2 x = 2 .
Question 6. A substance has a half-life of 8 years. How long does it take for 90% of the
substance to decay?
Answer
Model: M ( t ) = M 0 ⋅ a t M(t) = M_0 \cdot a^t M ( t ) = M 0 ⋅ a t where a = 2 − 1 / 8 a = 2^{-1/8} a = 2 − 1/8 (since M ( 8 ) = 1 2 M 0 M(8) = \frac{1}{2}M_0 M ( 8 ) = 2 1 M 0 ).
90% decay means M ( t ) = 0.1 M 0 M(t) = 0.1M_0 M ( t ) = 0.1 M 0 .
0.1 = a t = ( 2 − 1 / 8 ) t = 2 − t / 8 0.1 = a^t = \left(2^{-1/8}\right)^t = 2^{-t/8} 0.1 = a t = ( 2 − 1/8 ) t = 2 − t /8 .
Take log \log log : log 0.1 = − t 8 log 2 \log 0.1 = -\dfrac{t}{8} \log 2 log 0.1 = − 8 t log 2 .
t = − 8 log 0.1 log 2 = 8 log 2 ≈ 26.6 t = \dfrac{-8 \log 0.1}{\log 2} = \dfrac{8}{\log 2} \approx 26.6 t = log 2 − 8 log 0.1 = log 2 8 ≈ 26.6 years.
Question 7. If log 2 3 = a \log_2 3 = a log 2 3 = a and log 2 5 = b \log_2 5 = b log 2 5 = b , express log 2 7.5 \log_2 7.5 log 2 7.5 in terms of a a a and b b b .
Answer
7.5 = 15 2 = 3 × 5 2 7.5 = \dfrac{15}{2} = \dfrac{3 \times 5}{2} 7.5 = 2 15 = 2 3 × 5 .
log 2 7.5 = log 2 3 + log 2 5 − log 2 2 = a + b − 1 \log_2 7.5 = \log_2 3 + \log_2 5 - \log_2 2 = a + b - 1 log 2 7.5 = log 2 3 + log 2 5 − log 2 2 = a + b − 1 .
Question 8. Solve the inequality log 0.5 ( 2 x + 1 ) > log 0.5 ( x + 4 ) \log_{0.5}(2x + 1) > \log_{0.5}(x + 4) log 0.5 ( 2 x + 1 ) > log 0.5 ( x + 4 ) .
Answer
Domain: 2 x + 1 > 0 ⟹ x > − 1 2 2x + 1 > 0 \implies x > -\dfrac{1}{2} 2 x + 1 > 0 ⟹ x > − 2 1 , and x + 4 > 0 ⟹ x > − 4 x + 4 > 0 \implies x > -4 x + 4 > 0 ⟹ x > − 4 . Combined:
x > − 1 2 x > -\dfrac{1}{2} x > − 2 1 .
Since the base 0.5 < 1 0.5 < 1 0.5 < 1 , the logarithmic function is strictly decreasing, so the inequality sign
reverses: 2 x + 1 < x + 4 2x + 1 < x + 4 2 x + 1 < x + 4 .
x < 3 x < 3 x < 3 .
Combined with the domain: − 1 2 < x < 3 -\dfrac{1}{2} < x < 3 − 2 1 < x < 3 .
Question 9. Express 2 log x − log ( x 2 − 4 ) + log ( x + 2 ) 2\log x - \log(x^2 - 4) + \log(x + 2) 2 log x − log ( x 2 − 4 ) + log ( x + 2 ) as a single logarithm, stating any
restrictions on x x x .
Answer
Restrictions: x > 0 x > 0 x > 0 , x 2 − 4 > 0 ⟹ x > 2 x^2 - 4 > 0 \implies x > 2 x 2 − 4 > 0 ⟹ x > 2 or x < − 2 x < -2 x < − 2 , and x + 2 > 0 ⟹ x > − 2 x + 2 > 0 \implies x > -2 x + 2 > 0 ⟹ x > − 2 .
Combined: x > 2 x > 2 x > 2 .
Combine: 2 log x + log ( x + 2 ) − log ( x 2 − 4 ) = log ( x 2 ) + log ( x + 2 ) − log ( x 2 − 4 ) 2\log x + \log(x + 2) - \log(x^2 - 4) = \log(x^2) + \log(x+2) - \log(x^2 - 4) 2 log x + log ( x + 2 ) − log ( x 2 − 4 ) = log ( x 2 ) + log ( x + 2 ) − log ( x 2 − 4 ) .
= log x 2 ( x + 2 ) x 2 − 4 = log x 2 ( x + 2 ) ( x − 2 ) ( x + 2 ) = log x 2 x − 2 = \log\dfrac{x^2(x+2)}{x^2 - 4} = \log\dfrac{x^2(x+2)}{(x-2)(x+2)} = \log\dfrac{x^2}{x-2} = log x 2 − 4 x 2 ( x + 2 ) = log ( x − 2 ) ( x + 2 ) x 2 ( x + 2 ) = log x − 2 x 2 .
Note: the factor ( x + 2 ) (x+2) ( x + 2 ) cancels since x + 2 ≠ 0 x + 2 \neq 0 x + 2 = 0 under the domain x > 2 x > 2 x > 2 .
Question 10. An investor deposits \ 5,000i n t o a n a c c o u n t e a r n i n g into an account earning in t o ana cco u n t e a r nin g 4%i n t e r e s t c o m p o u n d e d q u a r t e r l y . H o w l o n g ( t o t h e n e a r e s t q u a r t e r ) d o e s i t t a k e f o r t h e b a l a n c e t o r e a c h interest compounded
quarterly. How long (to the nearest quarter) does it take for the balance to reach in t er es t co m p o u n d e d q u a r t er l y . H o w l o n g ( t o t h e n e a r es tq u a r t er ) d oes i tt ak e f or t h e ba l an ce t or e a c h $10,000$?
Answer
A = P ( 1 + r 100 n ) n t A = P\left(1 + \dfrac{r}{100n}\right)^{nt} A = P ( 1 + 100 n r ) n t with P = 5000 P = 5000 P = 5000 , r = 4 r = 4 r = 4 , n = 4 n = 4 n = 4 , A = 10000 A = 10000 A = 10000 .
10000 = 5000 ( 1 + 4 400 ) 4 t = 5000 ( 1.01 ) 4 t 10000 = 5000\left(1 + \dfrac{4}{400}\right)^{4t} = 5000(1.01)^{4t} 10000 = 5000 ( 1 + 400 4 ) 4 t = 5000 ( 1.01 ) 4 t .
2 = ( 1.01 ) 4 t 2 = (1.01)^{4t} 2 = ( 1.01 ) 4 t .
Take log \log log : log 2 = 4 t ⋅ log 1.01 \log 2 = 4t \cdot \log 1.01 log 2 = 4 t ⋅ log 1.01 .
t = log 2 4 log 1.01 ≈ 0.3010 4 × 0.00432 ≈ 17.42 t = \dfrac{\log 2}{4\log 1.01} \approx \dfrac{0.3010}{4 \times 0.00432} \approx 17.42 t = 4 log 1.01 log 2 ≈ 4 × 0.00432 0.3010 ≈ 17.42 years.
To the nearest quarter: approximately 17 years and 2 quarters (17.5 years).
Diagnostic Test
Ready to test your understanding of Logarithms ? The diagnostic test contains the hardest questions within the DSE specification for this topic, each with a full worked solution.
Unit tests probe edge cases and common misconceptions. Integration tests combine Logarithms with other DSE mathematics topics to test synthesis under exam conditions.
See Diagnostic Guide for instructions on self-marking and building a personal test matrix.
DSE Exam Technique
Showing Working
For logarithm problems in DSE Paper 1:
Always state the domain restriction before solving (argument of logarithm must be positive).
When using logarithm laws, write the law explicitly before applying it.
When converting between exponential and logarithmic form, show the intermediate step.
After solving, verify each solution satisfies the domain restriction.
Exact logarithmic answers are preferred. If a numerical approximation is required, use 3 significant figures. When the question asks for an answer "correct to 3 significant figures," the calculator value should be stated.
Common DSE Question Types
Solving logarithmic equations (combine, convert, solve, check domain).
Solving exponential equations (take logs, bring down exponents).
Change of base problems.
Logarithmic inequalities (consider the base: > 1 > 1 > 1 or < 1 < 1 < 1 ).
Applications (compound interest, half-life, pH, Richter scale).
Additional Worked Examples
Worked Example 11: Logarithmic equation with different bases
Solve log 2 x + log 3 x = 5 \log_2 x + \log_3 x = 5 log 2 x + log 3 x = 5 .
Solution By the change of base formula: log 3 x = log 2 x log 2 3 \log_3 x = \dfrac{\log_2 x}{\log_2 3} log 3 x = log 2 3 log 2 x .
Let u = log 2 x u = \log_2 x u = log 2 x :
u + u log 2 3 = 5 ⟹ u ( 1 + 1 log 2 3 ) = 5 u + \frac{u}{\log_2 3} = 5 \implies u\!\left(1 + \frac{1}{\log_2 3}\right) = 5 u + l o g 2 3 u = 5 ⟹ u ( 1 + l o g 2 3 1 ) = 5
u ⋅ log 2 3 + 1 log 2 3 = 5 ⟹ u = 5 log 2 3 1 + log 2 3 u \cdot \frac{\log_2 3 + 1}{\log_2 3} = 5 \implies u = \frac{5\log_2 3}{1 + \log_2 3} u ⋅ l o g 2 3 l o g 2 3 + 1 = 5 ⟹ u = 1 + l o g 2 3 5 l o g 2 3
log 2 x = 5 log 2 3 log 2 6 = log 6 3 5 = log 6 243 \log_2 x = \frac{5\log_2 3}{\log_2 6} = \log_6 3^5 = \log_6 243 log 2 x = l o g 2 6 5 l o g 2 3 = log 6 3 5 = log 6 243
x = 2 5 log 2 3 log 2 6 = 243 1 / log 2 6 x = 2^{\frac{5\log_2 3}{\log_2 6}} = 243^{1/\log_2 6} x = 2 l o g 2 6 5 l o g 2 3 = 24 3 1/ l o g 2 6
This can also be written as x = 6 log 6 243 = 243 x = 6^{\log_6 243} = 243 x = 6 l o g 6 243 = 243 ? Let me verify: log 2 243 + log 3 243 = log 2 243 + log 2 243 log 2 3 = log 2 243 ( 1 + 1 log 2 3 ) \log_2 243 + \log_3 243 = \log_2 243 + \dfrac{\log_2 243}{\log_2 3} = \log_2 243\!\left(1 + \dfrac{1}{\log_2 3}\right) log 2 243 + log 3 243 = log 2 243 + log 2 3 log 2 243 = log 2 243 ( 1 + log 2 3 1 ) .
log 2 243 = log 2 3 5 = 5 log 2 3 \log_2 243 = \log_2 3^5 = 5\log_2 3 log 2 243 = log 2 3 5 = 5 log 2 3 .
5 log 2 3 ⋅ 1 + log 2 3 log 2 3 = 5 ( 1 + log 2 3 ) 5\log_2 3 \cdot \dfrac{1 + \log_2 3}{\log_2 3} = 5(1 + \log_2 3) 5 log 2 3 ⋅ log 2 3 1 + log 2 3 = 5 ( 1 + log 2 3 ) .
Is this = 5 = 5 = 5 ? Only if log 2 3 = 0 \log_2 3 = 0 log 2 3 = 0 , which is false. So x = 243 x = 243 x = 243 is incorrect.
The exact answer is x = 2 5 log 2 3 log 2 6 x = 2^{\frac{5\log_2 3}{\log_2 6}} x = 2 l o g 2 6 5 l o g 2 3 .
Worked Example 12: Exponential equation with three terms
Solve 4 x − 5 ⋅ 2 x + 6 = 0 4^x - 5 \cdot 2^x + 6 = 0 4 x − 5 ⋅ 2 x + 6 = 0 .
Solution Let u = 2 x u = 2^x u = 2 x (u > 0 u > 0 u > 0 ): u 2 − 5 u + 6 = 0 ⟹ ( u − 2 ) ( u − 3 ) = 0 u^2 - 5u + 6 = 0 \implies (u - 2)(u - 3) = 0 u 2 − 5 u + 6 = 0 ⟹ ( u − 2 ) ( u − 3 ) = 0 .
u = 2 u = 2 u = 2 or u = 3 u = 3 u = 3 .
2 x = 2 ⟹ x = 1 2^x = 2 \implies x = 1 2 x = 2 ⟹ x = 1 .
2 x = 3 ⟹ x = log 2 3 = log 3 log 2 ≈ 1.58 2^x = 3 \implies x = \log_2 3 = \dfrac{\log 3}{\log 2} \approx 1.58 2 x = 3 ⟹ x = log 2 3 = log 2 log 3 ≈ 1.58 .
Worked Example 13: Logarithmic identity proof
Prove that log a b ⋅ log b c ⋅ log c a = 1 \log_a b \cdot \log_b c \cdot \log_c a = 1 log a b ⋅ log b c ⋅ log c a = 1 .
Solution Using the change of base formula:
log a b = log b log a , log b c = log c log b , log c a = log a log c \log_a b = \frac{\log b}{\log a}, \quad \log_b c = \frac{\log c}{\log b}, \quad \log_c a = \frac{\log a}{\log c} log a b = l o g a l o g b , log b c = l o g b l o g c , log c a = l o g c l o g a
Multiplying:
log b log a ⋅ log c log b ⋅ log a log c = 1 \qed \frac{\log b}{\log a} \cdot \frac{\log c}{\log b} \cdot \frac{\log a}{\log c} = 1 \qed l o g a l o g b ⋅ l o g b l o g c ⋅ l o g c l o g a = 1 \qed
Worked Example 14: Solving a system of exponential equations
Solve the system 2 x ⋅ 3 y = 108 2^x \cdot 3^y = 108 2 x ⋅ 3 y = 108 and 2 x + 3 y = 21 2^x + 3^y = 21 2 x + 3 y = 21 .
Solution From the first equation: 2 x = 108 3 y 2^x = \dfrac{108}{3^y} 2 x = 3 y 108 .
Substituting into the second: 108 3 y + 3 y = 21 \dfrac{108}{3^y} + 3^y = 21 3 y 108 + 3 y = 21 .
Let u = 3 y u = 3^y u = 3 y (u > 0 u > 0 u > 0 ): 108 u + u = 21 ⟹ u 2 − 21 u + 108 = 0 ⟹ ( u − 9 ) ( u − 12 ) = 0 \dfrac{108}{u} + u = 21 \implies u^2 - 21u + 108 = 0 \implies (u - 9)(u - 12) = 0 u 108 + u = 21 ⟹ u 2 − 21 u + 108 = 0 ⟹ ( u − 9 ) ( u − 12 ) = 0 .
u = 9 u = 9 u = 9 or u = 12 u = 12 u = 12 .
Case 1: 3 y = 9 ⟹ y = 2 3^y = 9 \implies y = 2 3 y = 9 ⟹ y = 2 . Then 2 x = 108 9 = 12 ⟹ x = log 2 12 2^x = \dfrac{108}{9} = 12 \implies x = \log_2 12 2 x = 9 108 = 12 ⟹ x = log 2 12 .
Case 2: 3 y = 12 ⟹ y = log 3 12 3^y = 12 \implies y = \log_3 12 3 y = 12 ⟹ y = log 3 12 . Then 2 x = 108 12 = 9 ⟹ x = log 2 9 2^x = \dfrac{108}{12} = 9 \implies x = \log_2 9 2 x = 12 108 = 9 ⟹ x = log 2 9 .
Solutions: ( x , y ) = ( log 2 12 , 2 ) (x, y) = (\log_2 12,\; 2) ( x , y ) = ( log 2 12 , 2 ) and ( log 2 9 , log 3 12 ) (\log_2 9,\; \log_3 12) ( log 2 9 , log 3 12 ) .
DSE Exam-Style Questions
DSE Practice 1. Solve log 2 ( 2 x − 1 ) + log 2 ( x + 3 ) = 4 \log_2(2x - 1) + \log_2(x + 3) = 4 log 2 ( 2 x − 1 ) + log 2 ( x + 3 ) = 4 .
Solution Domain: 2 x − 1 > 0 ⟹ x > 1 2 2x - 1 > 0 \implies x > \dfrac{1}{2} 2 x − 1 > 0 ⟹ x > 2 1 , and x + 3 > 0 ⟹ x > − 3 x + 3 > 0 \implies x > -3 x + 3 > 0 ⟹ x > − 3 . Combined: x > 1 2 x > \dfrac{1}{2} x > 2 1 .
log 2 [ ( 2 x − 1 ) ( x + 3 ) ] = 4 ⟹ ( 2 x − 1 ) ( x + 3 ) = 16 \log_2[(2x - 1)(x + 3)] = 4 \implies (2x - 1)(x + 3) = 16 log 2 [( 2 x − 1 ) ( x + 3 )] = 4 ⟹ ( 2 x − 1 ) ( x + 3 ) = 16 .
2 x 2 + 5 x − 3 = 16 ⟹ 2 x 2 + 5 x − 19 = 0 2x^2 + 5x - 3 = 16 \implies 2x^2 + 5x - 19 = 0 2 x 2 + 5 x − 3 = 16 ⟹ 2 x 2 + 5 x − 19 = 0 .
x = − 5 ± 25 + 152 4 = − 5 ± 177 4 x = \dfrac{-5 \pm \sqrt{25 + 152}}{4} = \dfrac{-5 \pm \sqrt{177}}{4} x = 4 − 5 ± 25 + 152 = 4 − 5 ± 177 .
− 5 + 177 4 ≈ − 5 + 13.30 4 ≈ 2.08 > 1 2 \dfrac{-5 + \sqrt{177}}{4} \approx \dfrac{-5 + 13.30}{4} \approx 2.08 > \dfrac{1}{2} 4 − 5 + 177 ≈ 4 − 5 + 13.30 ≈ 2.08 > 2 1 . Accepted.
− 5 − 177 4 ≈ − 4.58 < 1 2 \dfrac{-5 - \sqrt{177}}{4} \approx -4.58 < \dfrac{1}{2} 4 − 5 − 177 ≈ − 4.58 < 2 1 . Rejected.
Solution: x = − 5 + 177 4 x = \dfrac{-5 + \sqrt{177}}{4} x = 4 − 5 + 177 .
DSE Practice 2. If log 4 x + log 4 ( x − 6 ) = 2 \log_4 x + \log_4(x - 6) = 2 log 4 x + log 4 ( x − 6 ) = 2 , find x x x .
Solution Domain: x > 0 x > 0 x > 0 and x − 6 > 0 ⟹ x > 6 x - 6 > 0 \implies x > 6 x − 6 > 0 ⟹ x > 6 .
log 4 [ x ( x − 6 ) ] = 2 ⟹ x ( x − 6 ) = 16 ⟹ x 2 − 6 x − 16 = 0 \log_4[x(x - 6)] = 2 \implies x(x - 6) = 16 \implies x^2 - 6x - 16 = 0 log 4 [ x ( x − 6 )] = 2 ⟹ x ( x − 6 ) = 16 ⟹ x 2 − 6 x − 16 = 0 .
( x − 8 ) ( x + 2 ) = 0 ⟹ x = 8 (x - 8)(x + 2) = 0 \implies x = 8 ( x − 8 ) ( x + 2 ) = 0 ⟹ x = 8 or x = − 2 x = -2 x = − 2 .
Since x > 6 x > 6 x > 6 : x = 8 x = 8 x = 8 .
DSE Practice 3. Solve the inequality log 3 ( x − 2 ) ≤ 2 \log_3(x - 2) \leq 2 log 3 ( x − 2 ) ≤ 2 .
Solution Domain: x − 2 > 0 ⟹ x > 2 x - 2 > 0 \implies x > 2 x − 2 > 0 ⟹ x > 2 .
Since base 3 > 1 3 > 1 3 > 1 , the inequality sign is preserved: x − 2 ≤ 3 2 = 9 x - 2 \leq 3^2 = 9 x − 2 ≤ 3 2 = 9 .
x ≤ 11 x \leq 11 x ≤ 11 .
Combined: 2 < x ≤ 11 2 < x \leq 11 2 < x ≤ 11 .
DSE Practice 4. The population of a city was 2 million in 2020 and 3 million in 2025. Assuming exponential growth, in what year will the population reach 5 million?
Solution P ( t ) = P 0 ⋅ a t P(t) = P_0 \cdot a^t P ( t ) = P 0 ⋅ a t where t t t is years from 2020.
P 0 = 2 P_0 = 2 P 0 = 2 , P ( 5 ) = 3 P(5) = 3 P ( 5 ) = 3 : 2 a 5 = 3 ⟹ a 5 = 1.5 ⟹ a = 1.5 1 / 5 2a^5 = 3 \implies a^5 = 1.5 \implies a = 1.5^{1/5} 2 a 5 = 3 ⟹ a 5 = 1.5 ⟹ a = 1. 5 1/5 .
For P ( t ) = 5 P(t) = 5 P ( t ) = 5 : 2 ⋅ 1.5 t / 5 = 5 ⟹ 1.5 t / 5 = 2.5 2 \cdot 1.5^{t/5} = 5 \implies 1.5^{t/5} = 2.5 2 ⋅ 1. 5 t /5 = 5 ⟹ 1. 5 t /5 = 2.5 .
t = 5 ⋅ ln 2.5 ln 1.5 = 5 ⋅ 0.9163 0.4055 ≈ 11.3 t = 5 \cdot \dfrac{\ln 2.5}{\ln 1.5} = 5 \cdot \dfrac{0.9163}{0.4055} \approx 11.3 t = 5 ⋅ ln 1.5 ln 2.5 = 5 ⋅ 0.4055 0.9163 ≈ 11.3 years.
Year: 2020 + 11.3 ≈ 2031 2020 + 11.3 \approx 2031 2020 + 11.3 ≈ 2031 (during 2031).
DSE Practice 5. Simplify log 27 8 log 3 2 \dfrac{\log_{27} 8}{\log_{\sqrt{3}} 2} log 3 2 log 27 8 .
Solution log 27 8 = log 8 log 27 = 3 log 2 3 log 3 = log 2 log 3 \log_{27} 8 = \frac{\log 8}{\log 27} = \frac{3\log 2}{3\log 3} = \frac{\log 2}{\log 3} log 27 8 = l o g 27 l o g 8 = 3 l o g 3 3 l o g 2 = l o g 3 l o g 2
log 3 2 = log 2 log 3 = log 2 1 2 log 3 = 2 log 2 log 3 \log_{\sqrt{3}} 2 = \frac{\log 2}{\log \sqrt{3}} = \frac{\log 2}{\frac{1}{2}\log 3} = \frac{2\log 2}{\log 3} log 3 2 = l o g 3 l o g 2 = 2 1 l o g 3 l o g 2 = l o g 3 2 l o g 2
log 27 8 log 3 2 = log 2 / log 3 2 log 2 / log 3 = 1 2 \frac{\log_{27} 8}{\log_{\sqrt{3}} 2} = \frac{\log 2 / \log 3}{2\log 2 / \log 3} = \frac{1}{2} l o g 3 2 l o g 27 8 = 2 l o g 2/ l o g 3 l o g 2/ l o g 3 = 2 1
DSE Practice 6. Given that 2 log a x − log a ( x 2 − 1 ) = 1 2\log_a x - \log_a(x^2 - 1) = 1 2 log a x − log a ( x 2 − 1 ) = 1 , express x x x in terms of a a a .
Solution Domain: x > 0 x > 0 x > 0 , x 2 − 1 > 0 ⟹ x > 1 x^2 - 1 > 0 \implies x > 1 x 2 − 1 > 0 ⟹ x > 1 .
log a x 2 x 2 − 1 = 1 ⟹ x 2 x 2 − 1 = a \log_a\dfrac{x^2}{x^2 - 1} = 1 \implies \dfrac{x^2}{x^2 - 1} = a log a x 2 − 1 x 2 = 1 ⟹ x 2 − 1 x 2 = a .
x 2 = a ( x 2 − 1 ) ⟹ x 2 = a x 2 − a ⟹ x 2 ( a − 1 ) = a x^2 = a(x^2 - 1) \implies x^2 = ax^2 - a \implies x^2(a - 1) = a x 2 = a ( x 2 − 1 ) ⟹ x 2 = a x 2 − a ⟹ x 2 ( a − 1 ) = a .
x 2 = a a − 1 x^2 = \dfrac{a}{a - 1} x 2 = a − 1 a .
x = a a − 1 x = \sqrt{\dfrac{a}{a - 1}} x = a − 1 a (positive root since x > 1 > 0 x > 1 > 0 x > 1 > 0 ).
This requires a a − 1 > 0 \dfrac{a}{a - 1} > 0 a − 1 a > 0 , i.e., a > 1 a > 1 a > 1 or a < 0 a < 0 a < 0 .
Also need x > 1 x > 1 x > 1 : a a − 1 > 1 ⟹ a − a + 1 a − 1 > 0 ⟹ 1 a − 1 > 0 ⟹ a > 1 \dfrac{a}{a - 1} > 1 \implies \dfrac{a - a + 1}{a - 1} > 0 \implies \dfrac{1}{a - 1} > 0 \implies a > 1 a − 1 a > 1 ⟹ a − 1 a − a + 1 > 0 ⟹ a − 1 1 > 0 ⟹ a > 1 .
Answer: x = a a − 1 x = \sqrt{\dfrac{a}{a - 1}} x = a − 1 a for a > 1 a > 1 a > 1 .