| Exam Board | OCR MEI |
|---|---|
| Module | Further Extra Pure (Further Extra Pure) |
| Year | 2020 |
| Session | November |
| Marks | 5 |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | Invariant lines and eigenvalues and vectors |
| Type | Find eigenvalues of 2×2 matrix |
| Difficulty | Moderate -0.8 This is a straightforward application of the standard eigenvalue algorithm for a 2×2 matrix: solve det(A - λI) = 0 for a simple quadratic, then find eigenvectors by solving (A - λI)v = 0. The matrix has integer entries and the characteristic equation factors easily, making this a routine textbook exercise with no conceptual challenges beyond recalling the method. |
| Spec | 4.03c Matrix multiplication: properties (associative, not commutative)4.03h Determinant 2x2: calculation |
| Answer | Marks |
|---|---|
| 1 | −λ 2 |
| Answer | Marks |
|---|---|
| 3 | M1 |
| Answer | Marks |
|---|---|
| [5] | 1.1a |
| Answer | Marks |
|---|---|
| 1.1 | For ch eqn in any form |
| Answer | Marks |
|---|---|
| Or any non-zero multiple | Can be implied by correct e- |
Question 1:
1 | −λ 2
det(A−λI)= =λ(1+λ)−6
3 −1−λ
λ2 + λ – 6 [= 0 ]
So the eigenvalues are 2 and –3
0 2 x 2y 2x
e=2: = =
3 −1y 3x− y 2y
1
⇒x= y⇒
1
0 2 x 2y −3x
e=−3: = =
3 −1y 3x− y −3y
−2
⇒3x=−2y⇒
3 | M1
A1
M1
A1
A1
[5] | 1.1a
1.1
1.1
1.1
1.1 | For ch eqn in any form
For both e-vals correct
Either equation correct in any
form FT
Or any non-zero multiple
Or any non-zero multiple | Can be implied by correct e-
vals
Allow one sign error
If each e-vec is not paired
with its e-val (either
explicitly or in the working)
or if they are wrongly
assigned then SC1 if they
are both correct
1 The matrix $\mathbf { A }$ is given by $\mathbf { A } = \left( \begin{array} { r r } 0 & 2 \\ 3 & - 1 \end{array} \right)$.\\
Find
\begin{itemize}
\item the eigenvalues of $\mathbf { A }$,
\item an eigenvector associated with each eigenvalue.
\end{itemize}
\hfill \mbox{\textit{OCR MEI Further Extra Pure 2020 Q1 [5]}}