Edexcel FP2 2024 June — Question 4 12 marks

Exam BoardEdexcel
ModuleFP2 (Further Pure Mathematics 2)
Year2024
SessionJune
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicInvariant lines and eigenvalues and vectors
TypeFind P and D for A = PDP⁻¹
DifficultyStandard +0.3 This is a structured, multi-part eigenvalue question with significant scaffolding. Part (a) is straightforward matrix multiplication, (b) uses the result to find p, (c) requires finding remaining eigenvalues/eigenvectors (standard FP2), and (d) asks for diagonalization. The scaffolding and step-by-step guidance make this easier than average, though it covers substantial content. The use of PDP^T (rather than PDP^{-1}) indicates a symmetric matrix, simplifying the work.
Spec4.03p Inverse properties: (AB)^(-1) = B^(-1)*A^(-1)

4. $$\mathbf { A } = \left( \begin{array} { r r r } 4 & 2 & 0 \\ 2 & p & - 2 \\ 0 & - 2 & 2 \end{array} \right) \quad \text { where } p \text { is a constant }$$ Given that \(\left( \begin{array} { r } 2 \\ - 1 \\ 2 \end{array} \right)\) is an eigenvector of \(\mathbf { A }\),
  1. determine the eigenvalue corresponding to this eigenvector.
  2. Hence show that \(p = 3\)
  3. Determine
    1. the remaining eigenvalues of \(\mathbf { A }\),
    2. corresponding eigenvectors for these eigenvalues.
  4. Hence determine a matrix \(\mathbf { P }\) and a diagonal matrix \(\mathbf { D }\) such that \(\mathbf { A } = \mathbf { P D P } ^ { \mathrm { T } }\)

Question 4(a):
AnswerMarks Guidance
Working/AnswerMark Guidance
\(2\times4 - 1\times2 + 2\times0 = \lambda\times2 \Rightarrow \lambda = \ldots\) or \(2\times0-1\times(-2)+2\times2=\lambda\times2\Rightarrow\lambda=\ldots\); Alt 1: Matrix-vector product gives \(\lambda=\ldots\); Alt 2: \((4-\lambda)(2-\lambda)(-2+\ldots)=0\) approachM1 Attempts to find \(\lambda\)
\(\lambda = 3\)A1 Correct value
Question 4(b):
AnswerMarks Guidance
Working/AnswerMark Guidance
\(2\times2 - p - 2\times2 = 3\times(-1) \Rightarrow 4-p-4=-3 \Rightarrow p=3\); Alt 1: \((4-3)((p-3)(2-3)-4)-2(2(2-3)-0)+0=0\Rightarrow p=3\); Alt 2 (using Alt 2 from (a)): \(4-(p-\lambda)-4=0\), uses \(\lambda=3\) to show \(p=3\)B1* Dependent on correct \(\lambda=3\)
Question 4(c)(i):
AnswerMarks Guidance
Working/AnswerMark Guidance
\((4-\lambda)\bigl((3-\lambda)(2-\lambda)-4\bigr) - 2\bigl(2(2-\lambda)-0\bigr)+0=0\)M1 Expands characteristic equation
\(\Rightarrow (4-\lambda)(\lambda^2-5\lambda+2)-8+4\lambda=0 \Rightarrow \lambda^3-9\lambda^2+18\lambda=0\) \(\Rightarrow \lambda(\lambda-3)(\lambda-6)=0 \Rightarrow \lambda=\ldots\)M1 Simplifies to factorised cubic
Remaining eigenvalues are 0 and 6A1 Both correct
Question 4(c)(ii):
AnswerMarks Guidance
Working/AnswerMark Guidance
For \(\lambda=0\): \(\begin{cases}4x+2y=0\\2x+3y-2z=0\\-2y+2z=0\end{cases}\) or for \(\lambda=6\): \(\begin{cases}-2x+2y=0\\2x-3y-2z=0\\-2y-4z=0\end{cases}\) \(\Rightarrow x=\ldots,\,y=\ldots,\,z=\ldots\)M1 Sets up and solves correct system
\(c\begin{pmatrix}-1\\2\\2\end{pmatrix}\) or \(d\begin{pmatrix}2\\2\\-1\end{pmatrix}\) (o.e.)A1 Correct eigenvectors
Question 4 (Eigenvectors/Matrices):
Part (c)(ii) - Eigenvectors:
AnswerMarks Guidance
WorkingMark Guidance
\(c\begin{pmatrix}-1\\2\\2\end{pmatrix}\) and \(d\begin{pmatrix}2\\2\\-1\end{pmatrix}\) o.e.A1 1.1b
(3)
Part (d) - Diagonal and Modal Matrices:
AnswerMarks Guidance
WorkingMark Guidance
\(\mathbf{D}=\begin{pmatrix}3&0&0\\0&6&0\\0&0&0\end{pmatrix}\) or \(\mathbf{D}=\begin{pmatrix}3&0&0\\0&0&0\\0&0&6\end{pmatrix}\) or equivalentB1ft 2.2a
\(\sqrt{2^2+(-1)^2+2^2}=\sqrt{9}=3 \Rightarrow \mathbf{v}=\ldots\)M1 3.1a
\(\mathbf{P}=\frac{1}{3}\begin{pmatrix}2&2&-1\\-1&2&2\\2&-1&2\end{pmatrix}\) or \(\mathbf{P}=\frac{1}{3}\begin{pmatrix}2&-1&2\\-1&2&2\\2&2&-1\end{pmatrix}\)A1ft 1.1b
The order must correspond to their D
(3)
(12 marks)
Notes:
- B1ft: Correct diagonal matrix following through on their eigenvalues
- M1: Normalises the eigenvectors
- A1ft: Forms correct matrix P with columns in appropriate order for their D, following through on their eigenvectors
## Question 4(a):

| Working/Answer | Mark | Guidance |
|---|---|---|
| $2\times4 - 1\times2 + 2\times0 = \lambda\times2 \Rightarrow \lambda = \ldots$ or $2\times0-1\times(-2)+2\times2=\lambda\times2\Rightarrow\lambda=\ldots$; **Alt 1:** Matrix-vector product gives $\lambda=\ldots$; **Alt 2:** $(4-\lambda)(2-\lambda)(-2+\ldots)=0$ approach | M1 | Attempts to find $\lambda$ |
| $\lambda = 3$ | A1 | Correct value |

---

## Question 4(b):

| Working/Answer | Mark | Guidance |
|---|---|---|
| $2\times2 - p - 2\times2 = 3\times(-1) \Rightarrow 4-p-4=-3 \Rightarrow p=3$; **Alt 1:** $(4-3)((p-3)(2-3)-4)-2(2(2-3)-0)+0=0\Rightarrow p=3$; **Alt 2 (using Alt 2 from (a)):** $4-(p-\lambda)-4=0$, uses $\lambda=3$ to show $p=3$ | B1* | Dependent on correct $\lambda=3$ |

---

## Question 4(c)(i):

| Working/Answer | Mark | Guidance |
|---|---|---|
| $(4-\lambda)\bigl((3-\lambda)(2-\lambda)-4\bigr) - 2\bigl(2(2-\lambda)-0\bigr)+0=0$ | M1 | Expands characteristic equation |
| $\Rightarrow (4-\lambda)(\lambda^2-5\lambda+2)-8+4\lambda=0 \Rightarrow \lambda^3-9\lambda^2+18\lambda=0$ $\Rightarrow \lambda(\lambda-3)(\lambda-6)=0 \Rightarrow \lambda=\ldots$ | M1 | Simplifies to factorised cubic |
| Remaining eigenvalues are 0 and 6 | A1 | Both correct |

---

## Question 4(c)(ii):

| Working/Answer | Mark | Guidance |
|---|---|---|
| For $\lambda=0$: $\begin{cases}4x+2y=0\\2x+3y-2z=0\\-2y+2z=0\end{cases}$ or for $\lambda=6$: $\begin{cases}-2x+2y=0\\2x-3y-2z=0\\-2y-4z=0\end{cases}$ $\Rightarrow x=\ldots,\,y=\ldots,\,z=\ldots$ | M1 | Sets up and solves correct system |
| $c\begin{pmatrix}-1\\2\\2\end{pmatrix}$ or $d\begin{pmatrix}2\\2\\-1\end{pmatrix}$ (o.e.) | A1 | Correct eigenvectors |

# Question 4 (Eigenvectors/Matrices):

## Part (c)(ii) - Eigenvectors:

| Working | Mark | Guidance |
|---------|------|----------|
| $c\begin{pmatrix}-1\\2\\2\end{pmatrix}$ and $d\begin{pmatrix}2\\2\\-1\end{pmatrix}$ o.e. | **A1** | 1.1b |
| | **(3)** | |

## Part (d) - Diagonal and Modal Matrices:

| Working | Mark | Guidance |
|---------|------|----------|
| $\mathbf{D}=\begin{pmatrix}3&0&0\\0&6&0\\0&0&0\end{pmatrix}$ or $\mathbf{D}=\begin{pmatrix}3&0&0\\0&0&0\\0&0&6\end{pmatrix}$ or equivalent | **B1ft** | 2.2a |
| $\sqrt{2^2+(-1)^2+2^2}=\sqrt{9}=3 \Rightarrow \mathbf{v}=\ldots$ | **M1** | 3.1a |
| $\mathbf{P}=\frac{1}{3}\begin{pmatrix}2&2&-1\\-1&2&2\\2&-1&2\end{pmatrix}$ or $\mathbf{P}=\frac{1}{3}\begin{pmatrix}2&-1&2\\-1&2&2\\2&2&-1\end{pmatrix}$ | **A1ft** | 1.1b |
| The order must correspond to their **D** | | |
| | **(3)** | |
| | **(12 marks)** | |

**Notes:**

- **B1ft:** Correct diagonal matrix following through on their eigenvalues
- **M1:** Normalises the eigenvectors
- **A1ft:** Forms correct matrix **P** with columns in appropriate order for their **D**, following through on their eigenvectors

---
4.

$$\mathbf { A } = \left( \begin{array} { r r r } 
4 & 2 & 0 \\
2 & p & - 2 \\
0 & - 2 & 2
\end{array} \right) \quad \text { where } p \text { is a constant }$$

Given that $\left( \begin{array} { r } 2 \\ - 1 \\ 2 \end{array} \right)$ is an eigenvector of $\mathbf { A }$,
\begin{enumerate}[label=(\alph*)]
\item determine the eigenvalue corresponding to this eigenvector.
\item Hence show that $p = 3$
\item Determine
\begin{enumerate}[label=(\roman*)]
\item the remaining eigenvalues of $\mathbf { A }$,
\item corresponding eigenvectors for these eigenvalues.
\end{enumerate}\item Hence determine a matrix $\mathbf { P }$ and a diagonal matrix $\mathbf { D }$ such that $\mathbf { A } = \mathbf { P D P } ^ { \mathrm { T } }$
\end{enumerate}

\hfill \mbox{\textit{Edexcel FP2 2024 Q4 [12]}}