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Logarithms

Intuition

Logarithms answer the question “what power do I raise the base to in order to get this number?” They are the inverse of exponentiation, turning multiplicative relationships into additive ones. This property makes them invaluable for solving exponential equations and modelling phenomena that span many orders of magnitude, like earthquake intensity or sound volume. The change of base formula lets you convert between logarithmic bases, and the laws of logarithms mirror the laws of exponents, providing powerful algebraic tools for simplification.

Logarithms are the inverse operation of exponentiation and play a central role in the DSE Mathematics compulsory syllabus. They arise 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>0a \gt 0, a≠1a \neq 1 And x>0x \gt 0 The logarithmic statement

log⁡ax=y\log_a x = y

Is defined to be equivalent to the exponential statement

Ay=x.A^y = x.

In words: "log⁡ax\log_a x" is the power to which aa must be raised to obtain xx. The number aa is Called the base of the logarithm, and xx is the argument.

The two conditions on the base arise because:

  • If a=1a = 1 Then 1y=11^y = 1 for all yy So no unique logarithm exists.
  • If a≤0a \leq 0 Then aya^y is not defined for all real yy (e.g. (−2)1/2(-2)^{1/2} is not real).

The condition x>0x \gt 0 follows from the fact that ay>0a^y \gt 0 for all real yy when a>0a \gt 0 So the logarithm is only defined for positive arguments.

Special Cases

Several special values follow immediately from the definition:

log⁡a1=0{since}a0=1\log_a 1 = 0 \quad \mathrm\{since \} a^0 = 1 log⁡aa=1{since}a1=a\log_a a = 1 \quad \mathrm\{since \} a^1 = a log⁡aak=k{since}ak=ak\log_a a^k = k \quad \mathrm\{since \} a^k = a^k

Additionally, for any base a>0a \gt 0 with a≠1a \neq 1:

A{log⁡ax}=x(x>0)A^\{\log_a x\} = x \quad (x \gt 0) log⁡a(ay)=y(y∈{R})\log_a(a^y) = y \quad (y \in \mathbb\{R\})

These two identities express the fact that the logarithmic and exponential functions are inverses of each other.

Examples
  • log⁡28=3\log_2 8 = 3 since 23=82^3 = 8.
  • log⁡381=4\log_3 81 = 4 since 34=813^4 = 81.
  • log⁡51=0\log_5 1 = 0 since 50=15^0 = 1.
  • log⁡77=1\log_7 7 = 1 since 71=77^1 = 7.
  • log⁡101000=3\log_{10} 1000 = 3 since 103=100010^3 = 1000.
  • log⁡218=−3\log_2 \frac{1}{8} = -3 since 2−3=182^{-3} = \frac{1}{8}.

Laws of Logarithms

The following laws are essential for manipulating logarithmic expressions. In all cases, a>0a \gt 0, a≠1a \neq 1 And the arguments of all logarithms are positive.

Product Rule

log⁡a(xy)=log⁡ax+log⁡ay\log_a(xy) = \log_a x + \log_a y

Derivation. Let m=log⁡axm = \log_a x and n=log⁡ayn = \log_a y So that am=xa^m = x and an=ya^n = y. Then:

Xy=am⋅an=a{m+n}Xy = a^m \cdot a^n = a^\{m+n\}

By the definition of logarithms, log⁡a(xy)=m+n=log⁡ax+log⁡ay\log_a(xy) = m + n = \log_a x + \log_a y.

Quotient Rule

log⁡a{x}{y}=log⁡ax−log⁡ay\log_a \frac\{x\}\{y\} = \log_a x - \log_a y

Derivation. Similarly, let m=log⁡axm = \log_a x and n=log⁡ayn = \log_a y:

{x}{y}={am}{an}=a{m−n}\frac\{x\}\{y\} = \frac\{a^m\}\{a^n\} = a^\{m-n\}

Therefore log⁡axy=m−n=log⁡ax−log⁡ay\log_a \dfrac{x}{y} = m - n = \log_a x - \log_a y.

Power Rule

log⁡a(xn)=nlog⁡ax\log_a(x^n) = n \log_a x

Derivation. Let m=log⁡axm = \log_a x So that am=xa^m = x. Then:

Xn=(am)n=a{mn}X^n = (a^m)^n = a^\{mn\}

Therefore log⁡a(xn)=mn=nlog⁡ax\log_a(x^n) = mn = n \log_a x.

Change of Base Formula

For any positive c≠1c \neq 1:

log⁡ab={log⁡cb}{log⁡ca}\log_a b = \frac\{\log_c b\}\{\log_c a\}

Derivation. Let y=log⁡aby = \log_a b So that ay=ba^y = b. Taking logarithms base cc of both sides:

log⁡c(ay)=log⁡cb\log_c(a^y) = \log_c b

By the power rule, ylog⁡ca=log⁡cby \log_c a = \log_c b Hence:

Y={log⁡cb}{log⁡ca}Y = \frac\{\log_c b\}\{\log_c a\}

A commonly used special case is the change to base 10:

log⁡ab={log⁡{10}b}{log⁡{10}a}\log_a b = \frac\{\log_\{10\} b\}\{\log_\{10\} a\}
Examples
  • log⁡26+log⁡23=log⁡2(6×3)=log⁡218\log_2 6 + \log_2 3 = \log_2(6 \times 3) = \log_2 18.
  • log⁡354−log⁡32=log⁡3542=log⁡327=3\log_3 54 - \log_3 2 = \log_3 \dfrac{54}{2} = \log_3 27 = 3.
  • 3log⁡52=log⁡5(23)=log⁡583\log_5 2 = \log_5(2^3) = \log_5 8.
  • log⁡49=log⁡109log⁡104=2log⁡1032log⁡102=log⁡103log⁡102\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}.

A Note on Invalid Manipulations

A common error is to distribute a logarithm over addition or subtraction:

log⁡a(x+y)≠log⁡ax+log⁡ay\log_a(x + y) \neq \log_a x + \log_a y log⁡a(x−y)≠log⁡ax−log⁡ay\log_a(x - y) \neq \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 xx Written log⁡10x\log_{10} x (or 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 ee)

The natural logarithm of xx Written ln⁡x=log⁡ex\ln x = \log_e x Uses the base e≈2.71828e \approx 2.71828. The Number ee is defined as:

E=lim⁡{n→∞}(1+{1}{n})nE = \lim_\{n \to \infty\} \left(1 + \frac\{1\}\{n\}\right)^n

The natural logarithm arises in calculus and in continuous growth models. Its importance Stems from the fact that the derivative of ln⁡x\ln x is 1x\frac{1}{x} 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=xy = x.

Propertyy=axy = a^x (exponential)y=log⁡axy = \log_a x (logarithmic)
DomainR\mathbb{R}(0,∞)(0, \infty)
Range(0,∞)(0, \infty)R\mathbb{R}
xx-intercept(0,1)(0, 1) (since a0=1a^0 = 1)(1,0)(1, 0) (since log⁡a1=0\log_a 1 = 0)
AsymptoteHorizontal: y=0y = 0Vertical: x=0x = 0
MonotonicityStrictly increasing when a>1a \gt 1Strictly increasing when a>1a \gt 1

When 0<a<10 \lt a \lt 1 Both functions are strictly decreasing.

Examples
  • log⁡1000=3\log 1000 = 3 since 103=100010^3 = 1000.
  • log⁡0.01=−2\log 0.01 = -2 since 10−2=0.0110^{-2} = 0.01.
  • ln⁡e5=5\ln e^5 = 5 by the special case log⁡aak=k\log_a a^k = k.
  • ln⁡1=0\ln 1 = 0 since e0=1e^0 = 1.
  • eln⁡7=7e^{\ln 7} = 7 by the inverse property.

Solving Logarithmic Equations

General Strategy

To solve equations involving logarithms:

  1. Combine logarithmic terms using the laws of logarithms where possible.
  2. Rewrite the equation in the form log⁡a(expression)=k\log_a(\mathrm{expression}) = k.
  3. Convert to exponential form: expression=ak\mathrm{expression} = a^k.
  4. Solve the resulting algebraic equation.
  5. 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⁡af(x)\log_a f(x) We require f(x)>0f(x) \gt 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) as 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.

  • Domain: x+2>0x + 2 \gt 0 and x−6>0x - 6 \gt 0 So x>6x \gt 6.
  • Combine: log⁡3[(x+2)(x−6)]=3\log_3[(x+2)(x-6)] = 3.
  • Convert: (x+2)(x−6)=33=27(x+2)(x-6) = 3^3 = 27.
  • Expand: x2−4x−12=27x^2 - 4x - 12 = 27 So x2−4x−39=0x^2 - 4x - 39 = 0.
  • Quadratic formula: x=4±16+1562=4±1722=2±43x = \dfrac{4 \pm \sqrt{16 + 156}}{2} = \dfrac{4 \pm \sqrt{172}}{2} = 2 \pm \sqrt{43}.
  • Since x>6x \gt 6 Only x=2+43x = 2 + \sqrt{43} is accepted.

Example 2. Solve log⁡2(x)−log⁡2(x−2)=3\log_2(x) - \log_2(x - 2) = 3.

  • Domain: x>0x \gt 0 and x>2x \gt 2 So x>2x \gt 2.
  • Quotient rule: log⁡2xx−2=3\log_2 \dfrac{x}{x-2} = 3.
  • Convert: xx−2=23=8\dfrac{x}{x-2} = 2^3 = 8.
  • Solve: x=8x−16x = 8x - 16 So 7x=167x = 16 Hence x=167x = \dfrac{16}{7}.
  • Check: 167>2\dfrac{16}{7} \gt 2 is satisfied.

Solving Exponential Equations

Taking Logarithms of Both Sides

When an equation involves terms of the form af(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}.

Using the Change of Base Formula

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

  1. Isolate the exponential term if possible.
  2. Take logarithms of both sides.
  3. Use the power rule to bring down exponents.
  4. Solve the resulting linear (or polynomial) equation.
Examples

Example 1. Solve 32x+1=73^{2x+1} = 7.

  • Take log⁡\log of both sides: log⁡(32x+1)=log⁡7\log(3^{2x+1}) = \log 7.
  • Power rule: (2x+1)log⁡3=log⁡7(2x+1)\log 3 = \log 7.
  • Solve: 2x+1=log⁡7log⁡32x + 1 = \dfrac{\log 7}{\log 3} So x=12(log⁡7log⁡3−1)x = \dfrac{1}{2}\left(\dfrac{\log 7}{\log 3} - 1\right).

Example 2. Solve 5x=2x+35^{x} = 2^{x+3}.

  • Take log⁡\log of both sides: log⁡(5x)=log⁡(2x+3)\log(5^x) = \log(2^{x+3}).
  • Power rule: xlog⁡5=(x+3)log⁡2x\log 5 = (x+3)\log 2.
  • Expand: xlog⁡5=xlog⁡2+3log⁡2x\log 5 = x\log 2 + 3\log 2.
  • Collect: x(log⁡5−log⁡2)=3log⁡2x(\log 5 - \log 2) = 3\log 2.
  • Solve: x=3log⁡2log⁡5−log⁡2=3log⁡2log⁡52x = \dfrac{3\log 2}{\log 5 - \log 2} = \dfrac{3\log 2}{\log \frac{5}{2}}.

Example 3. Solve 4x−2x+1−3=04^{x} - 2^{x+1} - 3 = 0.

  • Note 4x=(22)x=22x4^x = (2^2)^x = 2^{2x}. Let u=2xu = 2^x (u>0u \gt 0).
  • Substitute: u2−2u−3=0u^2 - 2u - 3 = 0.
  • Factor: (u−3)(u+1)=0(u - 3)(u + 1) = 0 So u=3u = 3 or u=−1u = -1.
  • Since u>0u \gt 0 Only u=3u = 3 Giving 2x=32^x = 3.
  • Take log⁡\log: xlog⁡2=log⁡3x\log 2 = \log 3 So x=log⁡3log⁡2x = \dfrac{\log 3}{\log 2}.

Applications

pH Scale

The pH of a solution is defined as:

{pH}=−log⁡{10}[H+]\mathrm\{pH\} = -\log_\{10\}[\mathrm H^+]

Where [H+][\mathrm 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} mol/L, giving pH=7\mathrm{pH} = 7.
  • Acidic solutions have pH<7\mathrm{pH} \lt 7; alkaline solutions have pH>7\mathrm{pH} \gt 7.
  • The scale is logarithmic: a decrease of 1 in pH corresponds to a tenfold increase in [H+][\mathrm H^+].
Example

A solution has [H+]=2.5×10−4[\mathrm H^+] = 2.5 \times 10^{-4} mol/L. Find its pH.

{pH}=−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

Richter Scale

The Richter magnitude MM of an earthquake is defined as:

M=log⁡{10}{I}{I0}M = \log_\{10\} \frac\{I\}\{I_0\}

Where II is the amplitude of seismic waves and I0I_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 50005000 times the reference. Its magnitude is:

M=log⁡{10}5000=log⁡{10}(5×103)=3+log⁡{10}5≈3.70M = \log_\{10\} 5000 = \log_\{10\}(5 \times 10^3) = 3 + \log_\{10\} 5 \approx 3.70

Compound Interest

The compound interest formula is closely related to logarithms and geometric sequences). If a principal PP is invested at an annual rate r%r\% compounded nn times per year for tt years, the accumulated amount AA is:

A=P(1+{r}{100n}){nt}A = P\left(1 + \frac\{r\}\{100n\}\right)^\{nt\}

To find the time tt required to reach a target amount AA Take logarithms of both sides:

\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\}
Example

\10,000isinvestedatis invested at5%$ per annum, compounded annually. How long does it take for the Investment to double?

  • Set A = 2P = 20,000$$P = 10,000$$r = 5$$n = 1.
  • 20000=10000(1.05)t20000 = 10000(1.05)^t So 2=(1.05)t2 = (1.05)^t.
  • Take log⁡\log: log⁡2=tlog⁡1.05\log 2 = t \log 1.05.
  • t=log⁡2log⁡1.05≈14.2t = \dfrac{\log 2}{\log 1.05} \approx 14.2 years.

Exponential Growth and Decay

Many natural processes follow exponential models:

  • Growth: N(t)=N0⋅atN(t) = N_0 \cdot a^t where a>1a \gt 1 (e.g., population growth, bacterial reproduction).
  • Decay: N(t)=N0⋅atN(t) = N_0 \cdot a^t where 0<a<10 \lt a \lt 1 (e.g., radioactive decay, cooling).

The half-life TT of a decaying quantity is the time for the quantity to reduce to half its Initial value. For N(t)=N0⋅atN(t) = N_0 \cdot a^t:

{1}{2}=aT  ⟹  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\}

For continuous decay with rate kk: N(t)=N0e−ktN(t) = N_0 e^{-kt} And the half-life is:

T={ln⁡2}{k}T = \frac\{\ln 2\}\{k\}
Example

A radioactive substance decays such that its mass after tt years is given by M(t)=500⋅(0.92)tM(t) = 500 \cdot (0.92)^t grams. Find the half-life.

  • Set M(T)=250M(T) = 250: 250=500⋅(0.92)T250 = 500 \cdot (0.92)^T.
  • 0.5=(0.92)T0.5 = (0.92)^T.
  • T=log⁡0.5log⁡0.92=−0.3010−0.0362≈8.31T = \dfrac{\log 0.5}{\log 0.92} = \dfrac{-0.3010}{-0.0362} \approx 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>1a \gt 1

When a > 1$$\log_a x is strictly increasing, so the inequality sign is preserved:

log⁡ax>log⁡ay  ⟺  x>y\log_a x \gt \log_a y \iff x \gt y

Case 2: Base 0<a<10 \lt{} a \lt{} 1

When 0 < a < 1$$\log_a x is strictly decreasing, so the inequality sign is reversed:

log⁡ax>{}log⁡ay  ⟺  x<{}y\log_a x \gt\{\} \log_a y \iff x \lt\{\} y
Examples

Example 1. Solve log⁡2(3x−1)<4\log_2(3x - 1) < 4.

  • Since the base 2>12 > 1 The inequality sign is preserved: 3x−1<24=163x - 1 < 2^4 = 16.
  • 3x<173x < 17 So x<173x < \dfrac{17}{3}.
  • Domain: 3x−1>0  ⟹  x>133x - 1 > 0 \implies x > \dfrac{1}{3}.
  • Solution: 13<x<173\dfrac{1}{3} < x < \dfrac{17}{3}.

Example 2. Solve log⁡1/2(x+3)≥1\log_{1/2}(x + 3) \geq 1.

  • Since the base 12<1\frac{1}{2} < 1 The inequality sign is reversed: x+3≤(12)1=12x + 3 \leq \left(\frac{1}{2}\right)^1 = \frac{1}{2}.
  • x≤−52x \leq -\dfrac{5}{2}.
  • Domain: x+3>0  ⟹  x>−3x + 3 > 0 \implies x > -3.
  • Solution: −3<x≤−52-3 < x \leq -\dfrac{5}{2}.

Graphical Properties of y=log⁡axy = \log_a x

The graph of y=log⁡axy = \log_a x has the following characteristics:

  • Passes through the point (1,0)(1, 0) since log⁡a1=0\log_a 1 = 0.
  • Passes through the point (a,1)(a, 1) since log⁡aa=1\log_a a = 1.
  • Has a vertical asymptote at x=0x = 0.
  • When a>1a > 1 The function is strictly increasing and concave down.
  • When 0<a<10 < a < 1 The function is strictly decreasing and concave up.
  • The function is defined only for x>0x > 0.

Adjust the base aa to see how the shape of the logarithmic curve changes between a>1a > 1 and 0<a<10 < a < 1.

Transformations

The standard transformations apply, following the same principles as for other Functions:

TransformationEffect
y=log⁡ax+cy = \log_a x + cVertical shift by cc units
y=log⁡a(x−h)y = \log_a(x - h)Horizontal shift by hh units
y=−log⁡axy = -\log_a xReflection in the xx-axis
y=log⁡a(−x)y = \log_a(-x)Reflection in the yy-axis (domain becomes x<0x < 0)
y=klog⁡axy = k\log_a xVertical stretch by factor kk
Example

Sketch y=log⁡2(x−3)+1y = \log_2(x - 3) + 1.

  • Start from y=log⁡2xy = \log_2 x.
  • Shift right by 3 units: the vertical asymptote moves from x=0x = 0 to x=3x = 3.
  • Shift up by 1 unit: the xx-intercept moves from (1,0)(1, 0) to (1+3,0+1)=(4,1)(1+3, 0+1) = (4, 1).
  • The new xx-intercept satisfies log⁡2(x−3)+1=0\log_2(x - 3) + 1 = 0 I.e. log⁡2(x−3)=−1\log_2(x-3) = -1 Giving x−3=12x - 3 = \frac{1}{2} So x=3.5x = 3.5.
  • Domain: x>3x > 3.

Wrap-up Questions

Question 1. Solve log⁡3(x2−4)−log⁡3(x+2)=1\log_3(x^2 - 4) - \log_3(x + 2) = 1.

Answer
  • Domain: x2−4>0x^2 - 4 > 0 and x+2>0x + 2 > 0 So x>2x > 2.
  • Quotient rule: log⁡3x2−4x+2=1\log_3 \dfrac{x^2 - 4}{x + 2} = 1.
  • Factor numerator: (x−2)(x+2)x+2=x−2\dfrac{(x-2)(x+2)}{x+2} = x - 2 (valid since x≠−2x \neq -2).
  • Convert: x−2=31=3x - 2 = 3^1 = 3 So x=5x = 5.
  • Check: 5>25 > 2 is satisfied. Solution: x=5x = 5.

Question 2. Solve 23x−1=5x+12^{3x-1} = 5^{x+1}. Give your answer in terms of logarithms.

Answer
  • Take log⁡\log of both sides: log⁡(23x−1)=log⁡(5x+1)\log(2^{3x-1}) = \log(5^{x+1}).
  • Power rule: (3x−1)log⁡2=(x+1)log⁡5(3x - 1)\log 2 = (x + 1)\log 5.
  • Expand: 3xlog⁡2−log⁡2=xlog⁡5+log⁡53x\log 2 - \log 2 = x\log 5 + \log 5.
  • Collect xx terms: x(3log⁡2−log⁡5)=log⁡5+log⁡2x(3\log 2 - \log 5) = \log 5 + \log 2.
  • x=log⁡5+log⁡23log⁡2−log⁡5=log⁡103log⁡2−log⁡5=13log⁡2−log⁡5x = \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}.

Question 3. Simplify log⁡827log⁡89\dfrac{\log_8 27}{\log_8 9} without using a calculator.

Answer
  • Let the expression equal yy. By the change of base formula, y=log⁡927y = \log_9 27.
  • Write bases and argument as powers of 3: y=log⁡327log⁡39=32y = \dfrac{\log_3 27}{\log_3 9} = \dfrac{3}{2}.
  • Alternatively: log⁡827=log⁡27log⁡8=3log⁡33log⁡2\log_8 27 = \dfrac{\log 27}{\log 8} = \dfrac{3\log 3}{3\log 2} and log⁡89=2log⁡33log⁡2\log_8 9 = \dfrac{2\log 3}{3\log 2} So the ratio is 3log⁡3/(3log⁡2)2log⁡3/(3log⁡2)=32\dfrac{3\log 3 / (3\log 2)}{2\log 3 / (3\log 2)} = \dfrac{3}{2}.

Question 4. The population of a bacteria culture grows exponentially. At 12:00, the population Is 10,00010,000. At 14:00, the population is 40,00040,000. Find the population at 17:00.

Answer
  • Model: P(t)=P0⋅atP(t) = P_0 \cdot a^t where tt is in hours from 12:00.
  • At t=0t = 0: P0=10,000P_0 = 10,000.
  • At t=2t = 2: 40,000=10,000⋅a240,000 = 10,000 \cdot a^2 So a2=4a^2 = 4 Giving a=2a = 2.
  • At t=5t = 5 (17:00): P(5)=10,000⋅25=320,000P(5) = 10,000 \cdot 2^5 = 320,000.

Question 5. Solve 9x−6⋅3x−27=09^x - 6 \cdot 3^x - 27 = 0.

Answer
  • Note 9x=(32)x=32x=(3x)29^x = (3^2)^x = 3^{2x} = (3^x)^2. Let u=3xu = 3^x (u>0u > 0).
  • Substitute: u2−6u−27=0u^2 - 6u - 27 = 0.
  • Factor: (u−9)(u+3)=0(u - 9)(u + 3) = 0 So u=9u = 9 or u=−3u = -3.
  • Since u>0u > 0 Only u=9u = 9 Giving 3x=9=323^x = 9 = 3^2 So x=2x = 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)=M0⋅atM(t) = M_0 \cdot a^t where a=2−1/8a = 2^{-1/8} (since M(8)=12M0M(8) = \frac{1}{2}M_0).
  • 90% decay means M(t)=0.1M0M(t) = 0.1M_0.
  • 0.1=at=(2−1/8)t=2−t/80.1 = a^t = \left(2^{-1/8}\right)^t = 2^{-t/8}.
  • Take log⁡\log: log⁡0.1=−t8log⁡2\log 0.1 = -\dfrac{t}{8} \log 2.
  • t=−8log⁡0.1log⁡2=8log⁡2≈26.6t = \dfrac{-8 \log 0.1}{\log 2} = \dfrac{8}{\log 2} \approx 26.6 years.

Question 7. If log⁡23=a\log_2 3 = a and log⁡25=b\log_2 5 = b Express log⁡27.5\log_2 7.5 in terms of aa and bb.

Answer
  • 7.5=152=3×527.5 = \dfrac{15}{2} = \dfrac{3 \times 5}{2}.
  • log⁡27.5=log⁡23+log⁡25−log⁡22=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(2x+1)>log⁡0.5(x+4)\log_{0.5}(2x + 1) > \log_{0.5}(x + 4).

Answer
  • Domain: 2x+1>0  ⟹  x>−122x + 1 > 0 \implies x > -\dfrac{1}{2} And x+4>0  ⟹  x>−4x + 4 > 0 \implies x > -4. Combined: x>−12x > -\dfrac{1}{2}.
  • Since the base 0.5<10.5 < 1 The logarithmic function is strictly decreasing, so the inequality sign reverses: 2x+1<x+42x + 1 < x + 4.
  • x<3x < 3.
  • Combined with the domain: −12<x<3-\dfrac{1}{2} < x < 3.

Question 9. Express 2log⁡x−log⁡(x2−4)+log⁡(x+2)2\log x - \log(x^2 - 4) + \log(x + 2) as a single logarithm, stating any Restrictions on xx.

Answer
  • Restrictions: x > 0$$x^2 - 4 > 0 \implies x > 2 or x<−2x < -2 And x+2>0  ⟹  x>−2x + 2 > 0 \implies x > -2. Combined: x>2x > 2.
  • Combine: 2log⁡x+log⁡(x+2)−log⁡(x2−4)=log⁡(x2)+log⁡(x+2)−log⁡(x2−4)2\log x + \log(x + 2) - \log(x^2 - 4) = \log(x^2) + \log(x+2) - \log(x^2 - 4).
  • =log⁡x2(x+2)x2−4=log⁡x2(x+2)(x−2)(x+2)=log⁡x2x−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}.
  • Note: the factor (x+2)(x+2) cancels since x+2≠0x + 2 \neq 0 under the domain x>2x > 2.

Question 10. An investor deposits \5,000intoanaccountearninginto an account earning4%interestcompoundedQuarterly.Howlong(tothenearestquarter)doesittakeforthebalancetoreachinterest compounded Quarterly. How long (to the nearest quarter) does it take for the balance to reach$10,000$?

Answer
  • A=P(1+r100n)ntA = P\left(1 + \dfrac{r}{100n}\right)^{nt} with P = 5000$$r = 4$$n = 4$$A = 10000.
  • 10000=5000(1+4400)4t=5000(1.01)4t10000 = 5000\left(1 + \dfrac{4}{400}\right)^{4t} = 5000(1.01)^{4t}.
  • 2=(1.01)4t2 = (1.01)^{4t}.
  • Take log⁡\log: log⁡2=4t⋅log⁡1.01\log 2 = 4t \cdot \log 1.01.
  • t=log⁡24log⁡1.01≈0.30104×0.00432≈17.42t = \dfrac{\log 2}{4\log 1.01} \approx \dfrac{0.3010}{4 \times 0.00432} \approx 17.42 years.
  • To the nearest quarter: approximately 17 years and 2 quarters (17.5 years).