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Using Exps & Logs in Modelling Simplified Revision Notes

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6.3.2 Using Exps & Logs in Modelling

Modelling With Exponentials

An exponential relationship is one in which the variable appears in the power. For example:

  • y=3xy = 3^x
  • y=5e7ty = 5e^{7t}
  • Q=AektQ = Ae^{kt}

infoNote

Example:

P=AektP = Ae^{-kt}

  • PP represents population
  • tt represents time
  • AA, KK is a constant

Graphically, the equation is represented with PP on the y-axis and tt on the x-axis.

When t=0t = 0: P=Aek(0)=AP = A \cdot e^{-k(0)} = A

The curve is an exponential decay starting from AA at t=0t = 0 and approaching 0 as tt increases.

Rearranging the Equation

It's possible to rearrange the equation into the form y=mx+cy = mx + c to obtain a straight line using logarithms.

  1. Start with: P=AektP = Ae^{-kt}
  2. Take natural logarithms on both sides: ln(P)=ln(Aekt)\ln(P) = \ln(Ae^{-kt})
  3. Use logarithm properties: ln(P)=ln(A)+ln(ekt)\ln(P) = \ln(A) + \ln(e^{-kt})
  4. Simplify: ln(P)=ln(A)kt \ln(P) = \ln(A) - kt
  5. Rearrange: ln(P)=kt+ln(A)\ln(P) = -kt + \ln(A)

This equation is in the form y=mx+cy = mx + c , where:

  • y=ln(P)y = \ln(P)
  • x=tx = t
  • m=km = -k
  • c=ln(A)c = \ln(A)

If you plot ln(P) \ln(P) on the yy-axis and tt on the xx-axis, you will get a straight line.


Analysing the Relationship Between RR and TT

  1. The planet Saturn has many moons. The table below gives the mean radius of orbit and the time taken to complete one orbit, for five of the best-known of them. | Moon | Tethys | Dione | Rhea | Titan | Iaepetus | |---|---|---|---|---|---| | Radius RR (x 10510^5 km) | 2.9 | 3.8 | 5.3 | 12.2 | 35.6 | | Period TT (days) | 1.9 | 2.7 | 4.5 | 15.9 | 79.3 |

It is believed that the relationship between RR and TT is of the form R=kTn. R = kT^n.

i) Rearranging the Equation

To confirm the relationship, rearrange the equation into a straight-line form, allowing you to plot the graph and verify if it gives a straight line.

Starting with: R=kTnR = kT^n

Take natural logarithms on both sides: ln(R)=ln(kTn)\ln(R) = \ln(kT^n)

Using logarithm properties: ln(R)=ln(k)+ln(Tn)\ln(R) = \ln(k) + \ln(T^n)

Further simplification: ln(R)=ln(k)+nln(T)\ln(R) = \ln(k) + n\ln(T)

This is now in the straight-line form y=mx+cy = mx + c , where:

  • y=ln(R)y = \ln(R)
  • x=ln(T)x = \ln(T)
  • m=nm = n (the gradient)
  • c=ln(k)c = \ln(k) (the yy-intercept)

ii) Plotting the Graph

If we plot ln(R)\ln(R) against ln(T)\ln(T), and the original relationship R=kTn R = kT^n is true, we should get a straight line. The table below gives the values:

RRTT
2.9×1052.9 \times 10^51.9
3.8×1053.8 \times 10^52.7
5.8×1055.8 \times 10^54.5
12.2×10512.2 \times 10^515.9
35.6×10535.6 \times 10^579.3

By calculating the logarithms and plotting these points, the straightness of the line will confirm the relationship between RR and TT.

Data Points

The table provides the values of ln(T)\ln(T) and ln(R)\ln(R):

ln(T)\ln(T)ln(R)\ln(R)
0.64212.58
0.99512.85
1.5013.10
2.7714.01
4.3715.09
image

Graph Analysis

  • A plot of ln(R)\ln(R) (yy-axis) against ln(T)\ln(T) (xx-axis) results in a straight line.
  • The gradient m=nm = n is calculated from the change in yy and xx: Δy=15.0912.58=2.65 \Delta y = 15.09 - 12.58 = 2.65 Δx=4.370.642=3.8\Delta x = 4.37 - 0.642 = 3.8

Therefore, the gradient nn:

n=ΔyΔx=2.653.8:highlight[0.697] n = \frac{\Delta y}{\Delta x} = \frac{2.65}{3.8} \approx :highlight[0.697]

  • The y-intercept is found at ln(k)=12.15\ln(k) = 12.15: k=e12.15:highlight[1.89×105]k = e^{12.15} \approx :highlight[1.89 \times 10^5]

Final Equation

The relationship between RR and TT is confirmed as:

R=:highlight[1.89×105]×T:highlight[0.697] R = :highlight[1.89 \times 10^5] \times T^{:highlight[0.697]}

For example, when R=1.4×105R = 1.4 \times 10^5:

1.4×105=1.89×105×T0.697 1.4 \times 10^5 = 1.89 \times 10^5 \times T^{0.697}

1.4×1051.89×105T0.697 \frac{1.4 \times 10^5}{1.89 \times 10^5} \approx T^{0.697}

0.7407T0.697 0.7407 \approx T^{0.697}

T(0.7407)10.697:highlight[0.65days] T \approx (0.7407)^{\frac{1}{0.697}} \approx :highlight[0.65 days]


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