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定义2 n阶行列式的定义与展开

一、n阶行列式的定义

设有 n 2 n^{2} 个数,将其排列成一个 n n n n 列的数表,形式如下: a 11 a 12 a 1 n a 21 a 22 a 2 n a n 1 a n 2 a n n \begin{matrix} a_{11} & a_{12} & \cdots & a_{1n} \\ a_{21} & a_{22} & \cdots & a_{2n} \\ \vdots & \vdots & \ddots & \vdots \\ a_{n1} & a_{n2} & \cdots & a_{nn} \\ & & & \end{matrix}

基于此数表,n阶行列式的定义可通过以下步骤逐步推导:

(一)构建乘积项

从上述数表中任取 n n 个数,

且这 n n 个数需满足“位于不同的行、不同的列”这一条件,

由此构成的乘积项形式为: a 1 j 1 a 2 j 2 a n j n a_{1j_{1}}a_{2j_{2}}\cdots a_{nj_{n}}

其中, j 1 j 2 j n j_{1}j_{2}\cdots j_{n} 是自然数 1 , 2 , , n 1,2,\cdots,n 的一个排列,

该排列代表了所取 n n 个数的列标顺序。

(二)确定乘积项的符号

对每一个上述构建的乘积项,需冠以符号 ( 1 ) τ ( - 1)^{\tau} ,其中 τ \tau 是排列 j 1 j 2 j n j_{1}j_{2}\cdots j_{n} 的逆序数。

此时,乘积项变为: ( 1 ) τ a 1 j 1 a 2 j 2 a n j n ( - 1)^{\tau}a_{1j_{1}}a_{2j_{2}}\cdots a_{nj_{n}}

符号的正负由排列的逆序数奇偶性决定:

若逆序数 τ \tau 为偶数(即偶排列),符号为正;

若逆序数 τ \tau 为奇数(即奇排列),符号为负。

(三)计算所有项的代数和

由于从 n n n n 列数表中选取“不同行、不同列”的 n n 个数,

共有 n ! n! 种不同的选取方式,因此上述带有符号的乘积项也共有 n ! n! 个。

将这 n ! n! 个带有符号的乘积项进行代数求和,得到的结果即为 n n 阶行列式,

其表达式为: D = j 1 j 2 j n ( 1 ) τ ( j 1 j 2 j n ) a 1 j 1 a 2 j 2 a n j n D = \sum_{j_{1}j_{2}\cdots j_{n}}^{}( - 1)^{\tau(j_{1}j_{2}\cdots j_{n})}a_{1j_{1}}a_{2j_{2}}\cdots a_{nj_{n}}

其中,符号 j 1 j 2 j n \sum_{j_{1}j_{2}\cdots j_{n}}^{} 表示对所有 n n 级排列(共 n ! n! 个)进行求和,

τ ( j 1 j 2 j n ) \tau(j_{1}j_{2}\cdots j_{n}) 明确表示排列 j 1 j 2 j n j_{1}j_{2}\cdots j_{n} 的逆序数。

(四)n阶行列式的记法

n阶行列式除上述求和表达式外,还可记作形式: D = | a 11 a 21 a n 1 a 12 a 22 a n 2 a 1 n a 2 n a n n | D = \left| \begin{array}{r} a_{11} \\ a_{21} \\ \vdots \\ a_{n1} \end{array}\ \ \ \ \begin{array}{r} a_{12} \\ a_{22} \\ \vdots \\ a_{n2} \end{array}\ \ \ \ \begin{array}{r} \cdots \\ \cdots \\ \ddots \\ \cdots \end{array}\ \ \ \ \begin{array}{r} a_{1n} \\ a_{2n} \\ \vdots \\ a_{nn} \end{array} \right|

也可简记为 d e t ( a i j ) det(a_{ij}) ,其中数 a i j a_{ij} 称为行列式 D D ( i , j ) (i,j)

(即位于第 i i 行、第 j j 列的元素)。

二、n阶行列式展开式的直观形式

结合上述定义,n阶行列式的展开式可直观展开为:

D = ( 1 ) τ ( 123 n ) a 11 a 22 a n n + ( 1 ) τ ( 213 n ) a 12 a 21 a 33 a n n D = ( - 1)^{\tau(123\cdots n)}a_{11}a_{22}\cdots a_{nn} + ( - 1)^{\tau(213\cdots n)}a_{12}a_{21}a_{33}\cdots a_{nn}

+ ( 1 ) τ ( 132 n ) a 11 a 23 a 32 a 44 a n n + + ( 1 ) τ ( n 321 ) a 1 n a 2 , n 1 a n 1 + ( - 1)^{\tau(132\cdots n)}a_{11}a_{23}a_{32}a_{44}\cdots a_{nn} + \cdots + ( - 1)^{\tau(n\cdots 321)}a_{1n}a_{2,n - 1}\cdots a_{n1}

可见,展开式的核心是通过“排列逆序数”对所有可能的元素乘积项进行代数求和,

涵盖了所有 n ! n! 个带有对应符号的乘积项。

三、以 n = 3 n = 3 (3阶行列式)为例的具体展开

为更清晰理解n阶行列式的定义与展开,以下以3阶行列式为例进行详细说明。

(一)3阶行列式的数表形式

3阶行列式对应的3行3列数表及行列式记法为: D = | a 11 a 12 a 13 a 21 a 22 a 23 a 31 a 32 a 33 | D = \left| \begin{matrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{matrix} \right|

(二)列标排列与对应项的关系

根据定义,3阶行列式需考虑所有3级排列(共 3 ! = 6 3! = 6 个),

每个排列对应一个带有符号的乘积项,具体关系如下表所示:

列标排列 𝒋 𝟏 𝒋 𝟐 𝒋 𝟑 \mathbf{j}_{\mathbf{1}}\mathbf{j}_{\mathbf{2}}\mathbf{j}_{\mathbf{3}} 逆序数 𝝉 \mathbf{\tau} 符号 ( 𝟏 ) 𝝉 \mathbf{( - 1}\mathbf{)}^{\mathbf{\tau}} 对应的项
123 0 + + a 11 a 22 a 33 + a_{11}a_{22}a_{33}
132 1 - a 11 a 23 a 32 - a_{11}a_{23}a_{32}
213 1 - a 12 a 21 a 33 - a_{12}a_{21}a_{33}
231 2 + + a 12 a 23 a 31 + a_{12}a_{23}a_{31}
312 2 + + a 13 a 21 a 32 + a_{13}a_{21}a_{32}
321 3 - a 13 a 22 a 31 - a_{13}a_{22}a_{31}

(三)3阶行列式的最终展开式

将上述6个带有符号的乘积项进行代数求和,得到3阶行列式的展开式:

因此,展开式为:

D = ( 1 ) τ ( 123 ) a 11 a 22 a 33 + ( 1 ) τ ( 132 ) a 11 a 23 a 32 + ( 1 ) τ ( 213 ) a 12 a 21 a 33 D = ( - 1)^{\tau(123)}a_{11}a_{22}a_{33} + ( - 1)^{\tau(132)}a_{11}a_{23}a_{32} + ( - 1)^{\tau(213)}a_{12}a_{21}a_{33}

+ ( 1 ) τ ( 231 ) a 12 a 23 a 31 + ( 1 ) τ ( 312 ) a 13 a 21 a 32 + ( 1 ) τ ( 321 ) a 13 a 22 a 31 + ( - 1)^{\tau(231)}a_{12}a_{23}a_{31} + ( - 1)^{\tau(312)}a_{13}a_{21}a_{32} + ( - 1)^{\tau(321)}a_{13}a_{22}a_{31}

= a 11 a 22 a 33 a 11 a 23 a 32 a 12 a 21 a 33 + a 12 a 23 a 31 + a 13 a 21 a 32 a 13 a 22 a 31 . = a_{11}a_{22}a_{33} - a_{11}a_{23}a_{32} - a_{12}a_{21}a_{33} + a_{12}a_{23}a_{31} + a_{13}a_{21}a_{32} - a_{13}a_{22}a_{31}.

当n=1时 , 一阶行列式|a|=a , 注意不要与绝对值记号相混淆

主对角线以下的元素都为0的行列式叫做上三角形行列式

主对角线以上的元素都为0的行列式叫做下三角形行列式

主对角线以下和以上的元素都为0的行列式叫做对角行列式

例5证明下三角形行列式D= | a 11 a 21 a n 1 a 22 a n 2 a n n | \left| \begin{array}{r} \begin{matrix} a_{11} \\ a_{21} \end{matrix} \\ \begin{matrix} \vdots \\ a_{n1} \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} \\ a_{22} \end{matrix} \\ \begin{matrix} \vdots \\ a_{n2} \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} \\ \end{matrix} \\ \begin{matrix} \ddots \\ \cdots \end{matrix} \end{array}\ \ \ \ \ \begin{array}{r} \begin{matrix} \\ \end{matrix} \\ \begin{matrix} \\ a_{nn} \end{matrix} \end{array} \right| =a11a22⋯ann

证:n阶行列式 D = | a 11 a 12 a 1 n a 21 a 22 a 2 n a n 1 a n 2 a n n | D = \left| \begin{matrix} a_{11} & a_{12} & \cdots & a_{1n} \\ a_{21} & a_{22} & \cdots & a_{2n} \\ \vdots & \vdots & \ddots & \vdots \\ a_{n1} & a_{n2} & \cdots & a_{nn} \end{matrix} \right| 的展开式为:

D = ( 1 ) τ ( 123 n ) a 11 a 22 a n n + ( 1 ) τ ( 213 n ) a 12 a 21 a 33 a n n D = ( - 1)^{\tau(123\cdots n)}a_{11}a_{22}\cdots a_{nn} + ( - 1)^{\tau(213\cdots n)}a_{12}a_{21}a_{33}\cdots a_{nn}

+ ( 1 ) τ ( 132 n ) a 11 a 23 a 32 a 44 a n n + + ( 1 ) τ ( n 321 ) a 1 n a 2 , n 1 a n 1 + ( - 1)^{\tau(132\cdots n)}a_{11}a_{23}a_{32}a_{44}\cdots a_{nn} + \cdots\cdots + ( - 1)^{\tau(n\cdots 321)}a_{1n}a_{2,n - 1}\cdots a_{n1}

在下三角形行列式中,当 j > i j > i 时, a i j = 0 a_{ij} = 0 。因此,展开式中许多项为零:

a 12 a 21 a 33 a n n = 0 a_{12}a_{21}a_{33}\cdots a_{nn} = 0

a 11 a 23 a 32 a 44 a n n = 0 a_{11}a_{23}a_{32}a_{44}\cdots a_{nn} = 0

\cdots\cdots\cdots\cdots\cdots

a 1 n a 2 , n 1 a n 1 = 0 a_{1n}a_{2,n - 1}\cdots a_{n1} = 0

只有当 j 1 = 1 , j 2 = 2 , , j n = n j_{1} = 1,\ j_{2} = 2,\ \ldots,\ j_{n} = n 时, a 1 j 1 , a 2 j 2 , , a n j n a_{1j_{1}}\ ,\ a_{2j_{2}}\ ,\ \cdots\ ,\ a_{nj_{n}} 才可能不全为零

乘积 a 1 j 1 a 2 j 2 a n j n a_{1j_{1}}a_{2j_{2}}\cdots a_{nj_{n}} 才可能不为零。

对于排列 ( 1 , 2 , , n ) (1,2,\ldots,n) ,其逆序数为 τ ( 123 n ) = 0 \tau(123\ldots n) = 0 ,符号为 ( 1 ) 0 = 1 ( - 1)^{0} = 1

因此, D = | a 11 a 21 a 22 a n 1 a n 2 a n n | = ( 1 ) 0 a 11 a 22 a n n = a 11 a 22 a n n D = \left| \begin{matrix} a_{11} & & & \\ a_{21} & a_{22} & & \\ \vdots & \vdots & \ddots & \\ a_{n1} & a_{n2} & \cdots & a_{nn} \end{matrix} \right| = ( - 1)^{0} \cdot a_{11}a_{22}\cdots a_{nn} = a_{11}a_{22}\cdots a_{nn}

例6证明下三角形行列式D= | a 11 a 21 a 22 a 31 a 32 a 33 | \left| \begin{matrix} a_{11} & & \\ a_{21} & a_{22} & \\ a_{31} & a_{32} & a_{33} \end{matrix} \right| =a11a22a33

证:因为三阶行列式 D = | a 11 a 12 a 13 a 21 a 22 a 23 a 31 a 32 a 33 | D = \left| \begin{matrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \\ & & \end{matrix} \right| 展开式为:

D = ( 1 ) τ ( 123 ) a 11 a 22 a 33 + ( 1 ) τ ( 132 ) a 11 a 23 a 32 + ( 1 ) τ ( 213 ) a 12 a 21 a 33 D = ( - 1)^{\tau(123)}a_{11}a_{22}a_{33} + ( - 1)^{\tau(132)}a_{11}a_{23}a_{32} + ( - 1)^{\tau(213)}a_{12}a_{21}a_{33}

+ ( 1 ) τ ( 231 ) a 12 a 23 a 31 + ( 1 ) τ ( 312 ) a 13 a 21 a 32 + ( 1 ) τ ( 321 ) a 13 a 22 a 31 + ( - 1)^{\tau(231)}a_{12}a_{23}a_{31} + ( - 1)^{\tau(312)}a_{13}a_{21}a_{32} + ( - 1)^{\tau(321)}a_{13}a_{22}a_{31}

= a 11 a 22 a 33 a 11 a 23 a 32 a 12 a 21 a 33 + a 12 a 23 a 31 + a 13 a 21 a 32 a 13 a 22 a 31 = a_{11}a_{22}a_{33} - a_{11}a_{23}a_{32} - a_{12}a_{21}a_{33} + a_{12}a_{23}a_{31} + a_{13}a_{21}a_{32} - a_{13}a_{22}a_{31}

又因三角形行列式中a12 , a13 , a23分别为0

所以 a 11 a 23 a 32 a_{11}a_{23}a_{32} 为0, a 12 a 21 a 33 a_{12}a_{21}a_{33} 为0, a 12 a 23 a 31 a_{12}a_{23}a_{31} 为0, a 13 a 21 a 32 a_{13}a_{21}a_{32} 为0, a 13 a 22 a 31 a_{13}a_{22}a_{31} 为0

所以D= | a 11 a 21 a 22 a 31 a 32 a 33 | \left| \begin{matrix} a_{11} & & \\ a_{21} & a_{22} & \\ a_{31} & a_{32} & a_{33} \end{matrix} \right| =a11a22a33

例7证明对角行列式 | λ 1 λ 2 λ n | \left| \begin{array}{r} \begin{matrix} \lambda_{1} \\ \end{matrix} \\ \begin{matrix} \\ \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} \\ \lambda_{2} \end{matrix} \\ \begin{matrix} \\ \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} \\ \end{matrix} \\ \begin{matrix} \ddots \\ \end{matrix} \end{array}\ \ \ \ \ \begin{array}{r} \begin{matrix} \\ \end{matrix} \\ \begin{matrix} \\ \lambda_{n} \end{matrix} \end{array} \right| 1λ2⋯λn

证:由例5得证。

用定义计算行列 | 1 2 4 2 2 1 3 4 2 | \left| \begin{matrix} 1 & 2 & - 4 \\ - 2 & 2 & 1 \\ - 3 & 4 & - 2 \end{matrix} \right|

对于三阶行列式 | a 11 a 12 a 13 a 21 a 22 a 23 a 31 a 32 a 33 | \left| \begin{matrix} a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33} \end{matrix}\ \ \right| ,其值为 ( 1 ) τ ( j 1 j 2 j 3 ) a 1 j 1 a 2 j 2 a 3 j 3 \sum_{}^{}( - 1)^{\tau\left( j_{1}j_{2}j_{3} \right)}a_{1j_{1}}a_{2j_{2}}a_{3j_{3}}

其中 j 1 j 2 j 3 j_{1}j_{2}j_{3} 是1,2,3的一个排列, τ ( j 1 j 2 j 3 ) \tau\left( j_{1}j_{2}j_{3} \right) 是排列 j 1 j 2 j 3 j_{1}j_{2}j_{3} 的逆序数。

1,2,3的全排列有3!=6种

j 1 j 2 j 3 j_{1}j_{2}j_{3} =123,τ(123)=0,该项为(-1)τ(123)a11a22a33=(-1)0×1×2×(-2)=-4

j 1 j 2 j 3 j_{1}j_{2}j_{3} =132,τ(132)=1,该项为(-1)τ(132)a11a23a32=(-1)1×1×1×4=-4

j 1 j 2 j 3 j_{1}j_{2}j_{3} =213,τ(213)=1,该项为(-1)τ(213)a12a21a33=(-1)1×2×(-2)×(-2)=-8

j 1 j 2 j 3 j_{1}j_{2}j_{3} =231,τ(231)=2,该项为(-1)τ(231)a12a23a31=(-1)2×2×1×(-3)=-6

j 1 j 2 j 3 j_{1}j_{2}j_{3} =312,τ(312)=2,该项为(-1)τ(312)a13a21a32=(-1)2×(-4)×(-2)×4=32

j 1 j 2 j 3 j_{1}j_{2}j_{3} =321,τ(321)=3,该项为(-1)τ(321)a13a22a31=(-1)3×(-4)×2×(-3)=-24

把每项相加

-4-4-8-6+32-24

得结果-14

用定义计算行列式 | 3 5 2 1 1 1 0 5 1 3 1 3 2 4 1 3 | \left| \begin{array}{r} \begin{matrix} 3 \\ - 5 \end{matrix} \\ \begin{matrix} 2 \\ 1 \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} 1 \\ 1 \end{matrix} \\ \begin{matrix} 0 \\ - 5 \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} - 1 \\ 3 \end{matrix} \\ \begin{matrix} 1 \\ 3 \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} 2 \\ - 4 \end{matrix} \\ \begin{matrix} - 1 \\ - 3 \end{matrix} \end{array}\ \ \right|

对于四阶行列式 | a 11 a 21 a 31 a 41 a 12 a 22 a 32 a 42 a 13 a 23 a 33 a 43 a 14 a 24 a 34 a 44 | \left| \begin{array}{r} \begin{matrix} a_{11} \\ a_{21} \end{matrix} \\ \begin{matrix} a_{31} \\ a_{41} \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} a_{12} \\ a_{22} \end{matrix} \\ \begin{matrix} a_{32} \\ a_{42} \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} a_{13} \\ a_{23} \end{matrix} \\ \begin{matrix} a_{33} \\ a_{43} \end{matrix} \end{array}\ \ \ \ \begin{array}{r} \begin{matrix} a_{14} \\ a_{24} \end{matrix} \\ \begin{matrix} a_{34} \\ a_{44} \end{matrix} \end{array}\ \ \right| ,其值为 ( 1 ) τ ( j 1 j 2 j 3 j 4 ) a 1 j 1 a 2 j 2 a 3 j 3 a 4 j 4 \sum_{}^{}( - 1)^{\tau\left( j_{1}j_{2}j_{3}j_{4} \right)}a_{1j_{1}}a_{2j_{2}}a_{3j_{3}}a_{4j_{4}}

其中 j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} 是1,2,3,4的一个排列, τ ( j 1 j 2 j 3 j 4 ) \tau\left( j_{1}j_{2}j_{3}j_{4} \right) 是排列 j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} 的逆序数。

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =1234,τ(1234)=0,该项为(-1)0a11a22a33a44=(-1)0×3×1×1×(-3)=-9

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =1243,τ(1243)=1,该项为(-1)1a11a22a34a43=(-1)1×3×1×(-1)×3=9

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =1324,τ(1324)=1,该项为(-1)1a11a23a32a44=(-1)1×3×3×0×(-3)=0

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =1342,τ(1342)=2,该项为(-1)2a11a23a34a42=(-1)2×3×3×(-1)×(-5)=45

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =1423,τ(1423)=2,该项为(-1)2a11a24a32a43=(-1)2×3×(-4)×0×3=0

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =1432,τ(1432)=3,该项为(-1)3a11a24a33a42=(-1)3×3×(-4)×1×(-5)=-60

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =2134,τ(2134)=1,该项为(-1)1a12a21a33a44=(-1)1×1×(-5)×1×(-3)=-15

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =2143,τ(2143)=2,该项为(-1)2a12a21a34a43=(-1)2×1×(-5)×(-1)×3=15

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =2314,τ(2314)=2,该项为(-1)2a12a23a31a44=(-1)2×1×3×2×(-3)=-18

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =2341,τ(2341)=3,该项为(-1)3a12a23a34a41=(-1)3×1×3×(-1)×1=3

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =2413,τ(2413)=3,该项为(-1)3a12a24a31a43=(-1)3×1×(-4)×2×3=24

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =2431,τ(2431)=4,该项为(-1)4a12a24a33a41=(-1)4×1×(-4)×1×1=-4

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =3124,τ(3124)=2,该项为(-1)2a13a21a32a44=(-1)2×(-1)×(-5)×0×(-3)=0

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =3142,τ(3142)=3,该项为(-1)3a13a21a34a42=(-1)3×(-1)×(-5)×(-1)×(-5)=-25

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =3214,τ(3214)=3,该项为(-1)3a13a22a31a44=(-1)3×(-1)×1×2×(-3)=-6

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =3241,τ(3241)=4,该项为(-1)4a13a22a34a41=(-1)4×(-1)×1×(-1)×1=1

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =3412,τ(3412)=4,该项为(-1)4a13a24a31a42=(-1)4×(-1)×(-4)×2×(-5)=-40

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =3421,τ(3421)=5,该项为(-1)5a13a24a32a41=(-1)5×(-1)×(-4)×0×1=0

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =4123,τ(4123)=3,该项为(-1)3a14a21a32a43=(-1)3×2×(-5)×0×3=0

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =4132,τ(4132)=4,该项为(-1)4a14a21a33a42=(-1)4×2×(-5)×1×(-5)=50

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =4213,τ(4213)=4,该项为(-1)4a14a22a31a43=(-1)4×2×1×2×3=12

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =4231,τ(4231)=5,该项为(-1)5a14a22a33a41=(-1)5×2×1×1×1=-2

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =4312,τ(4312)=5,该项为(-1)5a14a23a31a42=(-1)5×2×3×2×(-5)=60

j 1 j 2 j 3 j 4 j_{1}j_{2}j_{3}j_{4} =4321,τ(4321)=6,该项为(-1)6a14a23a32a41=(-1)6×2×3×0×0=0

把每项相加

-9+9+0+45+0-60-15+15-18+3+24-4+0-25-6+1-40+0+0+50+12-2+60+0

得结果40