Edexcel F3 2023 January — Question 5 12 marks

Exam BoardEdexcel
ModuleF3 (Further Pure Mathematics 3)
Year2023
SessionJanuary
Marks12
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
Topic3x3 Matrices
TypeEigenvalues and eigenvectors
DifficultyStandard +0.8 This is a multi-part Further Maths question requiring: (a) finding when det(A)=0 with parameter a, (b) using the characteristic equation with a known eigenvalue to find a and other eigenvalues, (c) finding and normalising eigenvectors. While systematic, it requires confident manipulation of 3×3 determinants, the characteristic polynomial, and multiple computational steps. Harder than typical A-level but standard for F3.
Spec4.03j Determinant 3x3: calculation4.03l Singular/non-singular matrices

5. $$\mathbf { A } = \left( \begin{array} { r r r } a & a & 1 \\ - a & 4 & 0 \\ 4 & a & 5 \end{array} \right) \quad \text { where } a \text { is a positive constant }$$
  1. Determine the exact value of \(a\) for which the matrix \(\mathbf { A }\) is singular. Given that 2 is an eigenvalue of \(\mathbf { A }\)
  2. determine
    1. the value of \(a\)
    2. the other two eigenvalues of \(\mathbf { A }\) A normalised eigenvector for the eigenvalue 2 is \(\left( \begin{array} { c } \frac { 1 } { \sqrt { 6 } } \\ \frac { 1 } { \sqrt { 6 } } \\ - \frac { 2 } { \sqrt { 6 } } \end{array} \right)\)
  3. Determine a normalised eigenvector for each of the other eigenvalues of \(\mathbf { A }\)
    VJYV SIHI NI JIIIM ION OCVILV SIHI NI JLIYM ION OCV34V SIHI NI IIIIM ION OC

Question 5(a):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(\begin{vmatrix}a&a&1\\-a&4&0\\4&a&5\end{vmatrix} = a(4\times5-0)-a(-5a-0)+1(-a^2-(4\times4))\) → \(20a+5a^2-a^2-16=0\) → \(a^2+5a-4=0\) → \(a=\frac{-5+\sqrt{41}}{2}\)M1 Uses correct method for det \(\mathbf{A}\) (implied by two correct parts) to obtain expression in \(a\)
\(a = \frac{-5+\sqrt{41}}{2}\)A1 Correct exact value; condone \(\frac{-5\pm\sqrt{41}}{2}\)
(2)
Question 5(b)(i) Way 1:
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(\mathbf{A}-\lambda\mathbf{I} = \begin{vmatrix}a-\lambda&a&1\\-a&4-\lambda&0\\4&a&5-\lambda\end{vmatrix}\) \(=(a-\lambda)(4-\lambda)(5-\lambda)-a\cdot a(5-\lambda)+(-a^2-4(4-\lambda))\)
\(\lambda=2 \Rightarrow (a-2)\times2\times3+3a^2-a^2-8=0\) → \(2a^2+6a-20=0 \Rightarrow a^2+3a-10=0\) → \((a-2)(a+5)=0\)dM1 Following use of \(\lambda=2\), forms and solves 3TQ in \(a\); requires previous M mark
\((a>0 \Rightarrow)\, a=2\)A1 Correct value of \(a\); if \(-5\) offered, imply rejection if 2 alone used in (ii)
(3)
Question 5(b)(i) Way 2:
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(\mathbf{Ax}=2\mathbf{x} \Rightarrow ax+ay+z=2x,\; -ax+4y=2y,\; 4x+ay+5z=2z\)M1 Uses \(\mathbf{Ax}=2\mathbf{x}\) or \((\mathbf{A}-2\mathbf{I})\mathbf{x}=\mathbf{0}\) to obtain three simultaneous equations
\(\Rightarrow a^2+3a-10=0 \Rightarrow (a-2)(a+5)=0\)dM1 Forms and solves 3TQ in \(a\); requires previous M mark
\((a>0\Rightarrow)\, a=2\)A1 Correct value of \(a\)
(3)
Question 5(b)(ii):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\((2-\lambda)(4-\lambda)(5-\lambda)+4(5-\lambda)+(-4-16+4\lambda)=0\) → \((5-\lambda)[(2-\lambda)(4-\lambda)+4-4]=0\) → \((5-\lambda)(2-\lambda)(4-\lambda)=0 \Rightarrow \lambda=\ldots\)M1 Uses \(a=2\) in recognisable characteristic equation; achieves real non-zero eigenvalue \(\neq 2\); some algebra required
\(\lambda = 4\) and \(5\)A1 Both correct, no extra, from correct work
(2)
Question 5(c):
AnswerMarks Guidance
Answer/WorkingMark Guidance
\(\mathbf{A}\mathbf{x}=4\mathbf{x}\) or \((\mathbf{A}-4\mathbf{I})\mathbf{x}=\mathbf{0}\): \(-2x+2y+z=0\), \(-2x=0\), \(4x+2y+z=0\)M1 Uses \(\mathbf{Ax}=\lambda\mathbf{x}\) or \((\mathbf{A}-\lambda\mathbf{I})\mathbf{x}=\mathbf{0}\) with \(a=2\) and real non-zero \(\lambda\neq2\); or attempts vector product of two rows of \(\mathbf{A}-4\mathbf{I}\)
\(\pm\begin{pmatrix}0\\-1\\2\end{pmatrix}\) or \(\pm\begin{pmatrix}1\\-2\\7\end{pmatrix}\) (one correct)A1 One correct eigenvector; accept multiples
\(\pm\begin{pmatrix}0\\-1\\2\end{pmatrix}\) and \(\pm\begin{pmatrix}1\\-2\\7\end{pmatrix}\) (both correct)A1 Both correct eigenvectors; accept multiples
\(\pm\frac{1}{\sqrt{5}}\begin{pmatrix}0\\-1\\2\end{pmatrix}\), \(\pm\frac{1}{\sqrt{54}}\begin{pmatrix}1\\-2\\7\end{pmatrix}\) oeM1 A1 M1: Correct method to normalise at least one eigenvector; A1: Both correct, any exact equivalents
(5) Total: 12
# Question 5(a):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $\begin{vmatrix}a&a&1\\-a&4&0\\4&a&5\end{vmatrix} = a(4\times5-0)-a(-5a-0)+1(-a^2-(4\times4))$ → $20a+5a^2-a^2-16=0$ → $a^2+5a-4=0$ → $a=\frac{-5+\sqrt{41}}{2}$ | M1 | Uses correct method for det $\mathbf{A}$ (implied by two correct parts) to obtain expression in $a$ |
| $a = \frac{-5+\sqrt{41}}{2}$ | A1 | Correct exact value; condone $\frac{-5\pm\sqrt{41}}{2}$ |

**(2)**

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# Question 5(b)(i) Way 1:

| Answer/Working | Mark | Guidance |
|---|---|---|
| $|\mathbf{A}-\lambda\mathbf{I}| = \begin{vmatrix}a-\lambda&a&1\\-a&4-\lambda&0\\4&a&5-\lambda\end{vmatrix}$ $=(a-\lambda)(4-\lambda)(5-\lambda)-a\cdot a(5-\lambda)+(-a^2-4(4-\lambda))$ | M1 | Obtains expression for $|\mathbf{A}-\lambda\mathbf{I}|$ in terms of $a$ and $\lambda$, or just $a$ if $\lambda$ replaced by 2; if method unclear insist on 2 out of 3 correct parts |
| $\lambda=2 \Rightarrow (a-2)\times2\times3+3a^2-a^2-8=0$ → $2a^2+6a-20=0 \Rightarrow a^2+3a-10=0$ → $(a-2)(a+5)=0$ | dM1 | Following use of $\lambda=2$, forms and solves 3TQ in $a$; requires previous M mark |
| $(a>0 \Rightarrow)\, a=2$ | A1 | Correct value of $a$; if $-5$ offered, imply rejection if 2 alone used in (ii) |

**(3)**

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# Question 5(b)(i) Way 2:

| Answer/Working | Mark | Guidance |
|---|---|---|
| $\mathbf{Ax}=2\mathbf{x} \Rightarrow ax+ay+z=2x,\; -ax+4y=2y,\; 4x+ay+5z=2z$ | M1 | Uses $\mathbf{Ax}=2\mathbf{x}$ or $(\mathbf{A}-2\mathbf{I})\mathbf{x}=\mathbf{0}$ to obtain three simultaneous equations |
| $\Rightarrow a^2+3a-10=0 \Rightarrow (a-2)(a+5)=0$ | dM1 | Forms and solves 3TQ in $a$; requires previous M mark |
| $(a>0\Rightarrow)\, a=2$ | A1 | Correct value of $a$ |

**(3)**

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# Question 5(b)(ii):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $(2-\lambda)(4-\lambda)(5-\lambda)+4(5-\lambda)+(-4-16+4\lambda)=0$ → $(5-\lambda)[(2-\lambda)(4-\lambda)+4-4]=0$ → $(5-\lambda)(2-\lambda)(4-\lambda)=0 \Rightarrow \lambda=\ldots$ | M1 | Uses $a=2$ in recognisable characteristic equation; achieves real non-zero eigenvalue $\neq 2$; some algebra required |
| $\lambda = 4$ and $5$ | A1 | Both correct, no extra, from correct work |

**(2)**

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# Question 5(c):

| Answer/Working | Mark | Guidance |
|---|---|---|
| $\mathbf{A}\mathbf{x}=4\mathbf{x}$ or $(\mathbf{A}-4\mathbf{I})\mathbf{x}=\mathbf{0}$: $-2x+2y+z=0$, $-2x=0$, $4x+2y+z=0$ | M1 | Uses $\mathbf{Ax}=\lambda\mathbf{x}$ or $(\mathbf{A}-\lambda\mathbf{I})\mathbf{x}=\mathbf{0}$ with $a=2$ and real non-zero $\lambda\neq2$; or attempts vector product of two rows of $\mathbf{A}-4\mathbf{I}$ |
| $\pm\begin{pmatrix}0\\-1\\2\end{pmatrix}$ or $\pm\begin{pmatrix}1\\-2\\7\end{pmatrix}$ (one correct) | A1 | One correct eigenvector; accept multiples |
| $\pm\begin{pmatrix}0\\-1\\2\end{pmatrix}$ and $\pm\begin{pmatrix}1\\-2\\7\end{pmatrix}$ (both correct) | A1 | Both correct eigenvectors; accept multiples |
| $\pm\frac{1}{\sqrt{5}}\begin{pmatrix}0\\-1\\2\end{pmatrix}$, $\pm\frac{1}{\sqrt{54}}\begin{pmatrix}1\\-2\\7\end{pmatrix}$ oe | M1 A1 | M1: Correct method to normalise at least one eigenvector; A1: Both correct, any exact equivalents |

**(5) Total: 12**

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5.

$$\mathbf { A } = \left( \begin{array} { r r r } 
a & a & 1 \\
- a & 4 & 0 \\
4 & a & 5
\end{array} \right) \quad \text { where } a \text { is a positive constant }$$
\begin{enumerate}[label=(\alph*)]
\item Determine the exact value of $a$ for which the matrix $\mathbf { A }$ is singular.

Given that 2 is an eigenvalue of $\mathbf { A }$
\item determine
\begin{enumerate}[label=(\roman*)]
\item the value of $a$
\item the other two eigenvalues of $\mathbf { A }$

A normalised eigenvector for the eigenvalue 2 is $\left( \begin{array} { c } \frac { 1 } { \sqrt { 6 } } \\ \frac { 1 } { \sqrt { 6 } } \\ - \frac { 2 } { \sqrt { 6 } } \end{array} \right)$
\end{enumerate}\item Determine a normalised eigenvector for each of the other eigenvalues of $\mathbf { A }$

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VJYV SIHI NI JIIIM ION OC & VILV SIHI NI JLIYM ION OC & V34V SIHI NI IIIIM ION OC \\
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\hfill \mbox{\textit{Edexcel F3 2023 Q5 [12]}}