Study Guide

Exponentials and Logarithms (Edexcel IAL P3)

Edexcel International A-Level MathematicsΒ· 2018 Specification Issue 3, P3 Β§3.1–3.3Β· 25 min read

1. The Natural Exponential Function $e^x$β˜…β˜…β˜†β˜†β˜†β± 7 min

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πŸ“˜ Definition

Natural Exponential Function

or

Exponential function with base , where the gradient of the graph at any point equals the value of the function at that point. It is strictly increasing for all real .

Example:

,

You will need to sketch and interpret transformed exponential functions of the form , where are constants. Key features to identify include: the y-intercept (set ), horizontal asymptote (as , tends to 0, so ), and monotonicity (increasing if , decreasing if ).

πŸ“ Worked Example

Sketch the graph of , labelling all intercepts and asymptotes.

  1. 1
    1. Find the horizontal asymptote: as , , so . Asymptote:
  2. 2
    1. Find y-intercept (set ):
    y=2eβˆ’1βˆ’4β‰ˆ2(0.3679)βˆ’4=βˆ’3.26 (3 sf)y=2e^{-1} -4 \approx 2(0.3679) -4 = -3.26 \text{ (3 sf)}
  3. 3
    1. Find x-intercept (set ):
    2e3xβˆ’1βˆ’4=0β€…β€ŠβŸΉβ€…β€Še3xβˆ’1=2β€…β€ŠβŸΉβ€…β€Š3xβˆ’1=ln⁑2β€…β€ŠβŸΉβ€…β€Šx=ln⁑2+13β‰ˆ0.564 (3 sf)2e^{3x-1} -4 = 0 \implies e^{3x-1}=2 \implies 3x-1 = \ln 2 \implies x = \frac{\ln 2 + 1}{3} \approx 0.564 \text{ (3 sf)}
  4. 4
    1. Since , the graph is strictly increasing, starting close to for negative , rising through the intercepts, and increasing without bound as increases.

Exam tip:

Always label asymptotes with their full equation, not just a dashed line, and give intercept values to 3 significant figures unless told otherwise.

2. The Natural Logarithm Function $\ln x$β˜…β˜…β˜†β˜†β˜†β± 7 min

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πŸ“˜ Definition

Natural Logarithm

Inverse function of the natural exponential , so for all real , and for . It is only defined for positive , with a vertical asymptote at .

Example:

,

You are required to solve equations of the form and , using the inverse relationship between and . Always check your solutions are valid: for , the argument must be positive.

πŸ“ Worked Example

Solve (a) , (b) , giving your answers to 3 significant figures.

  1. 1

    Part (a): Isolate the exponential term:

    e2xβˆ’3=125=2.4e^{2x-3} = \frac{12}{5} = 2.4
  2. 2

    Take natural log of both sides:

    2xβˆ’3=ln⁑(2.4)2x - 3 = \ln (2.4)
  3. 3

    Rearrange for x:

    x=ln⁑(2.4)+32β‰ˆ0.8755+32=1.94 (3 sf)x = \frac{\ln (2.4) + 3}{2} \approx \frac{0.8755 + 3}{2} = 1.94 \text{ (3 sf)}
  4. 4

    Part (b): Isolate the log term:

    ln⁑(4x+1)=3\ln (4x+1) = 3
  5. 5

    Exponentiate both sides using base e:

    4x+1=e34x + 1 = e^3
  6. 6

    Check validity: , so solution is valid. Rearrange for x:

    x=e3βˆ’14β‰ˆ20.085βˆ’14=4.77 (3 sf)x = \frac{e^3 - 1}{4} \approx \frac{20.085 -1}{4} = 4.77 \text{ (3 sf)}

Exam tip:

Always substitute your solution back into the original log expression to confirm the argument is positive, as invalid solutions will lose marks.

3. Log-Linear Graphs for Parameter Estimationβ˜…β˜…β˜…β˜…β˜†β± 9 min

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Many real-world non-linear relationships can be linearised using logarithms, allowing you to estimate unknown parameters using a straight line graph of form , where is the gradient and is the y-intercept. Two common models are tested in P3: and .

Model

Log Transformation

Y Axis

X Axis

Gradient ()

Y-Intercept ()

πŸ“ Worked Example

The relationship between variables and is modelled by . Experimental data gives: ; . Estimate and to 2 significant figures.

  1. 1
    1. Calculate base-10 log y values for each data point:
    x=1:log⁑1012β‰ˆ1.079;x=3:log⁑1043.2β‰ˆ1.635x=1: \log_{10} 12 \approx 1.079; x=3: \log_{10} 43.2 \approx 1.635
  2. 2
    1. Calculate gradient of the line between and :
    m=1.635βˆ’1.0793βˆ’1=0.278=log⁑10bm = \frac{1.635 - 1.079}{3 - 1} = 0.278 = \log_{10} b
  3. 3
    1. Solve for :
    b=100.278β‰ˆ1.9 (2 sf)b = 10^{0.278} \approx 1.9 \text{ (2 sf)}
  4. 4
    1. Find intercept using the point :
    1.079=0.278(1)+cβ€…β€ŠβŸΉβ€…β€Šc=0.801=log⁑10k1.079 = 0.278(1) + c \implies c = 0.801 = \log_{10} k
  5. 5
    1. Solve for :
    k=100.801β‰ˆ6.3 (2 sf)k = 10^{0.801} \approx 6.3 \text{ (2 sf)}
  6. 6
    1. Verify: gives for and for , matching the experimental data.

Exam tip:

You can use either base 10 or natural logarithm for log-linear plots, but you must use the same base consistently for all calculations in a question. Edexcel accepts both bases as valid.

4. Common Pitfalls

Wrong move:

Forgetting the horizontal asymptote of is , not

Why:

Students assume all exponential functions asymptote to 0, but vertical shifts change the asymptote value

Correct move:

For transformed exponentials, take the limit as (if ) to find the correct asymptote value

Wrong move:

Giving a solution for where

Why:

Logarithms are only defined for positive arguments, so invalid solutions are not accepted

Correct move:

After solving, substitute back into the log argument to confirm it is positive, discard any invalid solutions

Wrong move:

Mixing up axes for log-linear plots for and

Why:

Swapping axes leads to incorrect gradient and intercept values, and thus wrong parameter estimates

Correct move:

Check the model: if is in the exponent, X-axis is ; if is raised to a power, X-axis is

Wrong move:

Forgetting to convert intercept/gradient from log form to original parameter values

Why:

The intercept of the log-linear plot is or , not the parameter itself

Correct move:

After finding intercept , calculate (base 10) or (natural log) to get the actual parameter value

Wrong move:

Using different log bases for gradient and intercept calculations in the same question

Why:

Inconsistent bases lead to incorrect parameter estimates that do not match the original model

Correct move:

Choose either base 10 or natural log at the start of the question, and use it for all log calculations

5. Quick Reference Cheatsheet

Concept

Key Rule / Formula

Exam Check

Asymptote at , y-intercept =

Label asymptote equation, give intercepts to 3 sf

Solve

Take ln both sides:

No real solution if

Solve

Exponentiate both sides:

Check to confirm valid solution

log-linear plot

Plot vs , gradient = , intercept =

Convert intercept from log to get

log-linear plot

Plot vs , gradient = , intercept =

Convert gradient and intercept from log to get and

6. Frequently Asked

Do I need to memorize log laws for P3?

Yes, log laws from P2 are assumed knowledge for log-linear graph questions. Only the identity is provided in the P3 formula booklet.

Can I use any base for log-linear plots?

Edexcel accepts either base 10 or natural logarithm for log-linear work, as long as you use the same base consistently across all calculations for a given question.

Going deeper

What's Next

Now that you have mastered P3 exponentials and logarithms, you can apply these skills to upcoming P3 topics including differentiation of exponential and log functions, and integration involving and . Log-linear modelling is also frequently tested in Statistics 1 and 2 units for real-world data analysis. Make sure you practice past paper questions on this topic to familiarize yourself with exam phrasing and mark scheme expectations, as these questions are often worth 5+ marks each and are high-yield for scoring well in P3.