《线性代数》讲义 第 11 页 共 30 页
?13?1?2?(2)?2(1)?13?1?2??13?1?2???(3)?3(1)??(3)?(2)??2?1230?7470?747??(4)?(1)??(4)?(2)??【解:○3? ??????????????32110?7470000???????1?43????5?7?00???0?74?00?是阶梯型了,2个非零行,所以,它的秩为2】
?010???(2)100????001??2009?123??001??456??010???????789????100??2010?456??
123??????789??3?010??100??010??100??010??010?????????????【解:100?010,100?010?100?100 ????????????????001???001????001???001????001????001???010???如此类推,奇指数的,有100????001??220092?010??
??100????001??2010?001??100??001???????同理,010?010,于是归纳,偶指数的,有010??????????100???001???100???010??123??100???????故,原式?100?456?010?????????001????789????001??四、逆矩阵与矩阵方程
?100???E
??010????001???010??123??456??100???456???123?】 ????????001????789????789???1?11、逆矩阵:n阶矩阵A,B,使得AB?BA?E,称A,B是可逆的,记作A?B且B?A
显然,依定义,就有结论:AA?1?A?1A?E
2、n阶矩阵A可逆的充分必要条件是A?E;或A?0【称A是非奇异矩阵,亦称满秩矩阵】
?100???例如:3阶单位矩阵E??010?,E?1?0,它是满秩的
?001???1???21?1?21?(2)?2(1)?1?21??1?21???(1,2)??(3)?(1)?????21???????211???????0?33???01?1?秩为2,不满!而?1
?1?1?03?3??001?2?1?2?0??????????2况且,从行列式的值:11113、性质:
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?21?0,也说明,它不是满秩的!
1?2
《线性代数》讲义 第 12 页 共 30 页
1(A?1)?1?A;○2(kA)○
?16AA?E?○
?1?1?1A;○3(AB)?1?B?1A?1;○4(AT)?1?(A?1)T○5AB?A?B kAA?1?1?A?A?1?1(互为倒数关系)
【○3证明:因为(AB)(B?1A?1)?A(BB?1)A?1?AA?1?E,于是(AB)?1?B?1A?1】 【○4证明:因为AT(A?1)T?(A?1A)T?ET?E,于是,(AT)?1?(A?1)T】 4、逆矩阵的求法○1(A?E)?初等行变换2伴随矩阵法:A????(E?A?1);○【伴随矩阵:设A?(aij)n?n,Aij是A中元素aij的代数余子式,
?1?1*?A A?A11?A12*矩阵A??????A1n5、解矩阵方程: 1AX○
A21?A22?A2nAn1??An2??称为A的伴随矩阵。】
???Ann??B型【解法一:(AB)?初等行变换????(EX);解法二:可先求A?1,则X?A?1B】
TTT1解出X,于是X?(X)】 ?BT,有ATXT?BT,依○
2XA?B型【对原方程两边转置,(XA)T○6、例题与习题
?a100?0a02?(1)求逆矩阵○1?00a3??.........??000?a1?10??...0??0?...0?(ai?0,i?1,2,3,...,n)(答:?0??...??...?0...an???...?1??30??2?0??(答:?3?01?
??3???0?0?1a20...0231?30000?1a3...000351?50??0? 0?)?...??1...an??.........?0??0??) 1??5?2??5??1
01??2?1?3?2??2????21?2?1(答:1?5?3)○3?○?????0?????132?164??????0
21000021
?1?14?○?3??2
12750021
0?
?11?1???210?0??? 6?1?21? ? ○2502○????3?
??12???0??1?11??2?
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《线性代数》讲义 第 13 页 共 30 页
?11?1??32???210??123???????022X?10X1?21?(2) 解矩阵方程○12
???012? ???? ○?????12??0??1?11????21??2?2??11?132??11?13?11?13???(??02???0111/2? 3)?(1)210??2100【○1解:02??????????1?11?21???0?22?5?1???001?1?1/4??7/4?6??1102?1001/23/2??1/23/2??2???0103/21/4?,则解得X??3/21/4??1?6?】
??0103/21/41??????4???????001?1?1/4???001?1?1/4????1?1/4????4?1???1 1?1??113??25??4?6?????3?4X?2 1 0???432?○?X???○?13??2 1? ?1?1 1??125?????5?○3
?12??3 1?? 24?X??????? 51?2?11??????(3)求下列矩阵的秩 ?1 234???1?1?245?○2 ○
?11012????1?0 1 1?1 2????0 2 2 2 0?? 3?2?0?1?1 1 1?○?3???1 1 0 0?1?0???1?2 0 32 10??4 20? ○4
6?11??0 01??1412682???610421917?? ?76341???353015204???1??05?0○??1?4?01025014?615??3?7?025??1?24?13?6?136?○
??11?105?7??31432???4?11?280???63277??14126?610421【○4??763??353015?1?98?(1)?(2)?61043)?(1)?(????00??00?634?782??1?(1)917??61042192?????41?7634???35301520204???18?5?16??1??5(3)?21917?(2)4?0?6(1)??????00?16/5?4/5?????0000??
1?(3)?(1)?76341??(3,4)??17?(3)/5?610421917? ?????761?34/51/5??????4?000??00??98?18?5?16??*%&$?就是阶梯型了。
0041??0000??它的秩是3】
?1?1?? 01 0?????(4)解矩阵方程AX?B?X,其中A???11 1?? B??2 0?
?5?3???10?1??????1(5)若n阶矩阵满足A?2A?4E?O,试证A?E可逆,并求(A?E)
?1【证:因A?2A?4E?O,A?2A?3E?E,即有(A?E)(A?3E)?E,故(A?E)?A?3E】
222(6)若A是n阶矩阵,且|A|=5,则?5AT?mshzq
?1?5?n?1
《线性代数》讲义 第 14 页 共 30 页
【解:?5AT??1?11111T?11?1T(A)?(A)?n(A?1)T?nA?1?n?n?1?5?n?1】
555A555?1?1(7)设矩阵A????1??2111?022??当a为何值时,矩阵A满秩?当a为何值时,矩阵A的秩为2? 0a?3?2??31a??010??100??1?4 3?(8)解方程:○1 ?? 14?? 20??3 1???12??X???11?????0?1?? ○
2??100???X??001?????2 0?001????010????1?2【提示:属于AXB?C型,可解X?A?1CB?1】
?020?(9)矩阵A???003?的伴随矩阵A*?
?00??4??(10)设A,B均为n阶方阵,且A??2,B?1,则ATB?1?
(11)设A为可逆n阶方阵,则(A*)?1?( A )
A.
1AA B.1AA* C.A?1A?1 D.1A*A
(12)设A为三阶方阵,A??12,计算(3A)?1?2A* 【答案:?12827
】 (13)设P????1?4???11???,D????10???02???由矩阵A方程P?1AP?D确定,试求A5 ?110??123?(14)设矩阵C?A[(A?1)2?A*BA?1]A,其中A???011???,B???456??
?111????789??而且A*
为A的伴随矩阵,○1化简C;○2计算C (15)设A??20?01???,B???11???????25???,求B2?A2(B?1A)?1 wǎng
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-----------------------------------------【子曰:学而不思则罔,思而不学则殆。】 第三章 线性方程组
1、非齐次线性方程组
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《线性代数》讲义 第 15 页 共 30 页
?a11x1?a12x2?...?a1nxn?b1?a11??ax?ax?...?ax?b?211222?a212nn2(1)? 其中系数矩阵A??..............................?..........??a??am1x1?am2x2?...?amnxn?bm?m1?a11a12...a1n?x1??b1??????xb?2??2??a21a22...a2nX???,b???又称A?(A?b)??.........????????a?x??b??m1am2...amn?n??m?于是,上面线性方程组可以简记为:AX?b
(2)线性方程组AX?b解的判定:【不证明的提供结论使用】
a12a22...am2...a1n??...a2n? ?...?...amn??b1??b2?为增广矩阵 ...??bm????唯一解?r(A)?r(A)?n?有解?r(A)?r(A)?AX?b??无穷多解?r(A)?r(A)?n
?无解?r(A)?r(A)?(其中A?(A,b)为增广矩阵,n是未知数的个数)
?x1?x2?1例题1:线性方程组?解的情况是( D )
?x1?x2?0A、无穷多解; B、只有0解; C、有唯一解; D、无解
?111?(2)?(1)?111?A????解:增广矩阵?110????
00?1????因为r(A)?1?r(A)?2,故方程组无解,选择D答案。
?x1?3x2?2x3?x4?0?例题2:求线性方程组的一般解??x1?2x2?x3?2x4??1
?x?2x?3x?2x?1234?110?(2)?(1)?1?3210??1?32?????0?113?1? (3)?(1)2?12?1??解:增广矩阵A??1???????1?23?21???011?31??1?1?3210??105?83?(3)2??(??011?31? 1)?(2)3?????011?31?????????00200???00100??(2)?(3)(2,3)因为r(A)?r(A)?3,有无穷多解。
?x1?3?8c?x1??3??8????????x?1?3c?2?x2??1??3?其全部解可表示为?(c为任意常数)。【或表为向量式:????????c】
x00?x3?0?3??????x??0??1???x4?c?4?????mshzq