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IAL 2023 Jan FP3 Q5

A Level / Edexcel / FP3

IAL 2023 Jan Paper · Question 5

题目

Problem

A=(aa1a404a5)A=\begin{pmatrix} a&a&1\\ -a&4&0\\ 4&a&5 \end{pmatrix}

where aa is a positive constant

Given that 22 is an eigenvalue of AA

(a) determine

(i) the value of aa

(ii) the other two eigenvalues of AA

A normalised eigenvector for the eigenvalue 22 is

(161626)\begin{pmatrix} \frac1{\sqrt6}\\ \frac1{\sqrt6}\\ -\frac2{\sqrt6} \end{pmatrix}

(b) Determine a normalised eigenvector for each of the other eigenvalues of AA

(c) Hence determine a matrix PP and a diagonal matrix DD such that PTAP=DP^TAP=D

(12)
题目中文翻译 A=(aa1a404a5)A=\begin{pmatrix} a&a&1\\ -a&4&0\\ 4&a&5 \end{pmatrix}

其中 aa 为正实数。

已知 22AA 的特征值。

(a) 求

(i) aa 的值

(ii) AA 的另外两个特征值

已知特征值 22 的一个单位特征向量为

(161626)\begin{pmatrix} \frac1{\sqrt6}\\ \frac1{\sqrt6}\\ -\frac2{\sqrt6} \end{pmatrix}

(b) 求另外两个特征值对应的单位特征向量

(c) 因此求矩阵 PP 和对角矩阵 DD,使得 PTAP=DP^TAP=D

解答

(a)(i)

解法一:使用特征行列式

思路

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因为 2 是特征值,所以 det(A2I)=0\det(A-2I)=0。展开这个行列式即可得到关于 aa 的二次方程,再利用 a>0a>0 排除负值。

答题过程

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Since 22 is an eigenvalue,

det(A2I)=0.\det(A-2I)=0.

Now

A2I=(a2a1a204a3).A-2I= \begin{pmatrix} a-2&a&1\\ -a&2&0\\ 4&a&3 \end{pmatrix}.

Expanding along the first row,

0=6(a2)+3a2a28,0=2a2+6a20,0=(a2)(a+5).\begin{align*} 0 =&\,6(a-2)+3a^2-a^2-8, \\ 0 =&\,2a^2+6a-20, \\ 0 =&\,(a-2)(a+5). \end{align*}

As a>0a>0,

a=2.\boxed{a=2}.

解法二:使用 Ax=2xA\mathbf x=2\mathbf x

思路

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令非零特征向量为 (x,y,z)T(x,y,z)^T,直接写出 Ax=2xA\mathbf x=2\mathbf x 的三个分量方程。消去 y,zy,z 后可得到同一个关于 aa 的二次方程;过程中还要说明 x0x\ne0,才能合法地约去 xx

答题过程

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Let

x=(xyz)\mathbf x= \begin{pmatrix} x\\y\\z \end{pmatrix}

be a non-zero eigenvector for the eigenvalue 22. From Ax=2xA\mathbf x=2\mathbf x,

ax+ay+z=2x,ax+4y=2y,4x+ay+5z=2z.\begin{align*} ax+ay+z =&\,2x, \\ -ax+4y =&\,2y, \\ 4x+ay+5z =&\,2z. \end{align*}

The second equation gives

y=ax2,y=\frac{ax}{2},

and the third gives

z=4x+ay3=(8+a2)x6.z=-\frac{4x+ay}{3} =-\frac{(8+a^2)x}{6}.

If x=0x=0, these equations force y=z=0y=z=0, which is impossible for an eigenvector. Hence x0x\ne0.

Substituting for yy and zz in the first equation and dividing by xx,

a+a228+a26=2,a2+3a10=0,(a2)(a+5)=0.\begin{align*} a+\frac{a^2}{2}-\frac{8+a^2}{6} =&\,2, \\ a^2+3a-10 =&\,0, \\ (a-2)(a+5) =&\,0. \end{align*}

Since a>0a>0,

a=2.\boxed{a=2}.

(a)(ii)

解法一

思路

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a=2a=2 代回矩阵,展开一般的特征行列式。中间的附加项恰好抵消,三次式可直接分解为三个一次因式;除去已知特征值 2,即得另外两个特征值。

答题过程

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With a=2a=2,

A=(221240425).A= \begin{pmatrix} 2&2&1\\ -2&4&0\\ 4&2&5 \end{pmatrix}.

The characteristic equation is

0=det(AλI)=(2λ)(4λ)(5λ)+4(5λ)44(4λ)=(2λ)(4λ)(5λ).\begin{align*} 0 =&\,\det(A-\lambda I) \\ =&\,(2-\lambda)(4-\lambda)(5-\lambda) \\ &\,+4(5-\lambda)-4-4(4-\lambda) \\ =&\,(2-\lambda)(4-\lambda)(5-\lambda). \end{align*}

Therefore, the other two eigenvalues are

4 and 5.\boxed{4\text{ and }5}.

(b)

解法一

思路

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对每个新特征值分别解 (AλI)x=0(A-\lambda I)\mathbf x=\mathbf0,先取一组简单整数比例的特征向量,再除以其模长得到单位特征向量。任一单位特征向量的相反向量也同样正确。

答题过程

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For λ=4\lambda=4,

A4I=(221200421).A-4I= \begin{pmatrix} -2&2&1\\ -2&0&0\\ 4&2&1 \end{pmatrix}.

Solving (A4I)x=0(A-4I)\mathbf x=\mathbf0 gives

x=0,z=2y.x=0, \qquad z=-2y.

Taking y=1y=-1 gives the eigenvector

(012),\begin{pmatrix} 0\\-1\\2 \end{pmatrix},

whose magnitude is 5\sqrt5. Hence a normalised eigenvector is

15(012).\boxed{ \frac1{\sqrt5} \begin{pmatrix} 0\\-1\\2 \end{pmatrix} }.

For λ=5\lambda=5,

A5I=(321210420).A-5I= \begin{pmatrix} -3&2&1\\ -2&-1&0\\ 4&2&0 \end{pmatrix}.

Solving (A5I)x=0(A-5I)\mathbf x=\mathbf0 gives

y=2x,z=7x.y=-2x, \qquad z=7x.

Taking x=1x=1 gives the eigenvector

(127),\begin{pmatrix} 1\\-2\\7 \end{pmatrix},

whose magnitude is 54\sqrt{54}. Hence a normalised eigenvector is

154(127).\boxed{ \frac1{\sqrt{54}} \begin{pmatrix} 1\\-2\\7 \end{pmatrix} }.

(c)

解法一:官方评分资料的预期构造

思路

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按照题目的预期,把三个单位特征向量依次作为 PP 的列,并把对应特征值放在 DD 的主对角线上。不过本小题的题面本身有缺陷:这些特征向量并不正交,因此这个 PP 实际满足 P1AP=DP^{-1}AP=D,而不是题目所写的 PTAP=DP^TAP=D。官方评分资料也明确注明本小题存在问题,并仍按预期矩阵给分。

答题过程

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Following the construction credited in the official mark scheme, take

P=(16015416152542625754),P= \begin{pmatrix} \dfrac1{\sqrt6}&0&\dfrac1{\sqrt{54}}\\[2mm] \dfrac1{\sqrt6}&-\dfrac1{\sqrt5}&-\dfrac2{\sqrt{54}}\\[2mm] -\dfrac2{\sqrt6}&\dfrac2{\sqrt5}&\dfrac7{\sqrt{54}} \end{pmatrix},

with

D=(200040005).D= \begin{pmatrix} 2&0&0\\ 0&4&0\\ 0&0&5 \end{pmatrix}.

The columns of PP are normalised eigenvectors in the same order as the diagonal entries of DD, so

AP=PD.AP=PD.

However, the first two columns are not orthogonal, since

16(112)15(012)=5300.\begin{align*} &\,\frac1{\sqrt6} \begin{pmatrix} 1\\1\\-2 \end{pmatrix} \mathbin{\boldsymbol{\cdot}} \frac1{\sqrt5} \begin{pmatrix} 0\\-1\\2 \end{pmatrix} \\ =&\,-\frac5{\sqrt{30}}\ne0. \end{align*}

Thus PTPIP^TP\ne I, so PTP1P^T\ne P^{-1}. The matrices above satisfy

P1AP=D,\boxed{P^{-1}AP=D},

but they do not satisfy PTAP=DP^TAP=D.

Indeed, no invertible PP can satisfy the printed condition. If PTAPP^TAP were diagonal, it would be symmetric, giving

PT(AAT)P=0.P^T(A-A^T)P=0.

Since PP is invertible, this would imply A=ATA=A^T, whereas the given matrix AA is not symmetric. Therefore, part (c) has no valid invertible solution as printed; replacing PTP^T by P1P^{-1} gives the mathematically consistent diagonalisation condition.