Home / IB Mathematics AHL 1.15 Eigenvalues and eigenvectors AI HL Paper 2- Exam Style Question

IB Mathematics AHL 1.15 Eigenvalues and eigenvectors AI HL Paper 2- Exam Style Questions- New Syllabus

Question

An environmental scientist is asked by a river authority to model the effect of a leak from a power plant on the mercury levels in a local river. The variable \( x \) measures the concentration of mercury in micrograms per litre.
The situation is modelled using the second order differential equation
\[ \frac{d^2 x}{dt^2} + 3\frac{dx}{dt} + 2x = 0 \]
where \( t \geq 0 \) is the time measured in days since the leak started. It is known that when \( t = 0 \), \( x = 0 \) and \( \frac{dx}{dt} = 1 \).
(a) Show that the system of coupled first order equations:

\( \frac{dx}{dt} = y \)
\( \frac{dy}{dt} = -2x – 3y \)

can be written as the given second order differential equation.
(b) Find the eigenvalues of the system of coupled first order equations given in part (a).
(c) Hence find the exact solution of the second order differential equation.
(d) Sketch the graph of \( x \) against \( t \), labelling the maximum point of the graph with its coordinates.
If the mercury levels are greater than \( 0.1 \) micrograms per litre, fishing in the river is considered unsafe and is stopped.
(e) Use the model to calculate the total amount of time when fishing should be stopped.
The river authority decides to stop people from fishing in the river for \( 10\% \) longer than the time found from the model.
(f) Write down one reason, with reference to the context, to support this decision.

▶️ Answer/Explanation
Markscheme

a
Given: \( \frac{dx}{dt} = y \), \( \frac{dy}{dt} = -2x – 3y \)
Differentiate:
\( \frac{d^2x}{dt^2} = \frac{dy}{dt} \)
Substitute:
\( \frac{d^2x}{dt^2} = -2x – 3y \)
Use: \( y = \frac{dx}{dt} \)
Rewrite:
\( \frac{d^2x}{dt^2} = -2x – 3\frac{dx}{dt} \)
Rearrange:
\( \frac{d^2x}{dt^2} + 3\frac{dx}{dt} + 2x = 0 \)
Explanation:
Differentiating the first equation and substituting into the second converts the system into the given second-order equation.
Result: Shown as required.

b
System matrix: \( \begin{pmatrix} 0 & 1 \\ -2 & -3 \end{pmatrix} \)
Characteristic equation:
\( \det \begin{pmatrix} -\lambda & 1 \\ -2 & -3 – \lambda \end{pmatrix} = 0 \)
Compute:
\( \lambda(\lambda + 3) + 2 = \lambda^2 + 3\lambda + 2 = 0 \)
Solve:
\( \lambda = \frac{-3 \pm \sqrt{9 – 8}}{2} = \frac{-3 \pm 1}{2} \)
Result:
\( \lambda = -1, -2 \)
Explanation:
The eigenvalues are found by solving the characteristic polynomial, matching the auxiliary equation.
Result: \( \lambda = -1, -2 \).

c
Eigenvalues: \( \lambda = -1, -2 \)
General solution:
\( x = Ae^{-t} + Be^{-2t} \)
Derivative:
\( \frac{dx}{dt} = -Ae^{-t} – 2Be^{-2t} \)
Initial conditions:
At \( t = 0 \), \( x = 0 \): \( A + B = 0 \)
At \( t = 0 \), \( \frac{dx}{dt} = 1 \): \( -A – 2B = 1 \)
Solve:
\( A + B = 0 \), \( -A – 2B = 1 \)
Add: \( -B = 1 \implies B = -1 \)
Then: \( A – 1 = 0 \implies A = 1 \)
Solution:
\( x = e^{-t} – e^{-2t} \)
Explanation:
The solution uses eigenvalues, with constants determined by initial conditions.
Result: \( x = e^{-t} – e^{-2t} \).

d
Function: \( x = e^{-t} – e^{-2t} \)
Maximum:
\( \frac{dx}{dt} = -e^{-t} + 2e^{-2t} = 0 \)
Solve:
\( 2e^{-2t} = e^{-t} \implies t = \ln 2 \)
Compute:
\( x = e^{-\ln 2} – e^{-2\ln 2} = \frac{1}{2} – \frac{1}{4} = 0.25 \)
Behavior:
Starts at (0, 0), peaks at \( (\ln 2, 0.25) \), decays to \( x = 0 \)

Explanation:
The maximum is found by setting the derivative to zero; the graph starts at the origin, peaks, and decays.
Result: Graph passes through (0, 0), peaks at \( (\ln 2, 0.25) \), approaches \( x = 0 \).

e


Solve: \( e^{-t} – e^{-2t} = 0.1 \)
Let \( u = e^{-t} \):
\( u – u^2 = 0.1 \implies u^2 – u + 0.1 = 0 \)
Solve:
\( u = \frac{1 \pm \sqrt{1 – 0.4}}{2} \approx 0.887, 0.113 \)
Times:
\( e^{-t} = 0.887 \implies t \approx 0.11957 \)
\( e^{-t} = 0.113 \implies t \approx 2.1830 \)
Total:
\( 2.1830 – 0.11957 \approx 2.06 \text{ days} \)
Explanation:
The time interval where \( x > 0.1 \) is found by solving the quadratic for the exponential term.
Result: 2.06 days.

f
Reason:
The concentration of mercury may not be uniform across the river due to natural variation.
Explanation:
A longer ban accounts for potential variability in mercury levels due to river currents.
Result: The concentration of mercury may not be uniform across the river due to natural variation.

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