A是一个3×3的矩阵(4,2,3.; 1,1,0; -1,2,3。)且AX=3A+X,求矩阵X 求矩阵A=(1,1,2,2,1,;0,2,1,5,-1;2,...

\u8bbeA=(3,1,-2;1,5,2),B=(4,1;2,3:;1,2) ,C= (0,3,1;3,-1,,2),\u52193\u00d72\u4e0b\u5217\u77e9\u9635\u8fd0\u7b97\u7ed3\u679c\u4e3a3\u00d72\u7684\u77e9\u9635\u662f\uff08 \uff09.

A \u662f 2\u00d73 \u77e9\u9635\uff0cB \u662f 3\u00d72 \u77e9\u9635\uff0cC \u662f 2\u00d73 \u77e9\u9635\uff0c
\u56e0\u6b64 ABC \u662f 2\u00d73 \u77e9\u9635\uff0c
AC^TB^T \u662f 2\u00d73 \u77e9\u9635\uff0c
C^TB^TA^T=(ABC)^T \u662f 3\u00d72 \u77e9\u9635\uff0c
CBA \u662f 2\u00d73 \u77e9\u9635\u3002
\u9009 C

\u5177\u4f53\u56de\u7b54\u5982\u56fe\uff1a

\u5728\u7ebf\u6027\u4ee3\u6570\u4e2d\uff0c\u4e00\u4e2a\u77e9\u9635A\u7684\u5217\u79e9\u662fA\u7684\u7ebf\u6027\u72ec\u7acb\u7684\u7eb5\u5217\u7684\u6781\u5927\u6570\u76ee\u3002\u7c7b\u4f3c\u5730\uff0c\u884c\u79e9\u662fA\u7684\u7ebf\u6027\u65e0\u5173\u7684\u6a2a\u884c\u7684\u6781\u5927\u6570\u76ee\u3002\u901a\u4fd7\u4e00\u70b9\u8bf4\uff0c\u5982\u679c\u628a\u77e9\u9635\u770b\u6210\u4e00\u4e2a\u4e2a\u884c\u5411\u91cf\u6216\u8005\u5217\u5411\u91cf\uff0c\u79e9\u5c31\u662f\u8fd9\u4e9b\u884c\u5411\u91cf\u6216\u8005\u5217\u5411\u91cf\u7684\u79e9\uff0c\u4e5f\u5c31\u662f\u6781\u5927\u65e0\u5173\u7ec4\u4e2d\u6240\u542b\u5411\u91cf\u7684\u4e2a\u6570\u3002
\u6269\u5c55\u8d44\u6599\uff1a
\u5728\u9636\u68af\u5f62\u77e9\u9635\u4e2d\uff0c\u9009\u5b9a1\uff0c3\u884c\u548c3\uff0c4\u5217\uff0c\u5b83\u4eec\u4ea4\u53c9\u70b9\u4e0a\u7684\u5143\u7d20\u6240\u7ec4\u6210\u76842\u9636\u5b50\u77e9\u9635\u7684\u884c\u5217\u5f0f \u5c31\u662f\u77e9\u9635A\u7684\u4e00\u4e2a2\u9636\u5b50\u5f0f\u3002
\u5728m*n\u77e9\u9635A\u4e2d\uff0c\u4efb\u610f\u51b3\u5b9ak\u884c\u548ck\u5217\u4ea4\u53c9\u70b9\u4e0a\u7684\u5143\u7d20\u6784\u6210A\u7684\u4e00\u4e2ak\u9636\u5b50\u77e9\u9635\uff0c\u6b64\u5b50\u77e9\u9635\u7684\u884c\u5217\u5f0f\uff0c\u79f0\u4e3aA\u7684\u4e00\u4e2ak\u9636\u5b50\u5f0f\u3002
\u5f53r(A)<=n-2\u65f6\uff0c\u6700\u9ad8\u9636\u975e\u96f6\u5b50\u5f0f\u7684\u9636\u6570<=n-2\uff0c\u4efb\u4f55n-1\u9636\u5b50\u5f0f\u5747\u4e3a\u96f6\uff0c\u800c\u4f34\u968f\u9635\u4e2d\u7684\u5404\u5143\u7d20\u5c31\u662fn-1\u9636\u5b50\u5f0f\u518d\u52a0\u4e0a\u4e2a\u6b63\u8d1f\u53f7\uff0c\u6240\u4ee5\u4f34\u968f\u9635\u4e3a0\u77e9\u9635\u3002
\u5f53r(A)<=n-1\u65f6\uff0c\u6700\u9ad8\u9636\u975e\u96f6\u5b50\u5f0f\u7684\u9636\u6570<=n-1\uff0c\u6240\u4ee5n-1\u9636\u5b50\u5f0f\u6709\u53ef\u80fd\u4e0d\u4e3a\u96f6\uff0c\u6240\u4ee5\u4f34\u968f\u9635\u6709\u53ef\u80fd\u975e\u96f6\uff08\u7b49\u53f7\u6210\u7acb\u65f6\u4f34\u968f\u9635\u5fc5\u4e3a\u975e\u96f6\uff09\u3002
\u53c2\u8003\u8d44\u6599\u6765\u6e90\uff1a\u767e\u5ea6\u767e\u79d1\u2014\u2014\u77e9\u9635\u7684\u79e9

此题应先整理矩阵方程,
然后用初等变换的方法解AX=B类型的矩阵方程

解: 由AX=3A+X
得 (A-E)X = 3A (整理后得矩阵方程的类型)
(A-E, A) = (构造矩阵, 求(A-E)^-1A, 常数3不必考虑, 最后乘它就行了)
3 2 3 4 2 3
1 0 0 1 1 0
-1 2 2 -1 2 3

r1-3r2,r3+r2
0 2 3 1 -1 3
1 0 0 1 1 0
0 2 2 0 3 3

r1-r3, r3*(1/2)
0 0 1 1 -4 0
1 0 0 1 1 0
0 1 1 0 3/2 3/2

r3-r1
0 0 1 1 -4 0
1 0 0 1 1 0
0 1 0 -1 11/2 3/2

交换行得
1 0 0 1 1 0
0 1 0 -1 11/2 3/2
0 0 1 1 -4 0

所以 (A-E)^-1A =
1 1 0
-1 11/2 3/2
1 -4 0

X = 3(A-E)^-1A =
3 3 0
-3 33/2 9/2
3 -12 0

满意请采纳^_^

见图片



x=(A-E)的逆矩阵乘以3A

  • A鏄竴涓3脳3鐨勭煩闃(4,2,3.; 1,1,0; -1,2,3銆)涓擜X=3A+X,姹傜煩闃礨
    绛旓細瑙: 鐢盇X=3A+X 寰 (A-E)X = 3A (鏁寸悊鍚庡緱鐭╅樀鏂圭▼鐨勭被鍨)(A-E, A) = (鏋勯鐭╅樀, 姹(A-E)^-1A, 甯告暟3涓嶅繀鑰冭檻, 鏈鍚庝箻瀹冨氨琛屼簡)3 2 3 4 2 3 1 0 0 1 1 0 -1 2 2 -1 2 3 r1-3r2,r3+r2 0 2 3 1 -1 3 1 0 0 1 ...
  • 3涔3鐭╅樀鍜3涔1鐭╅樀鐨勪箻娉曠粨鏋滄槸浠涔?
    绛旓細鐭╅樀涔樻硶鏄嚎鎬т唬鏁颁腑閲嶈鐨勪竴绉嶈繍绠楋紝瀵逛簬涓や釜鐭╅樀A鍜孊锛屽鏋淎鐨勫垪鏁扮瓑浜嶣鐨勮鏁帮紝閭d箞瀹冧滑灏卞彲浠ヨ繘琛岀煩闃典箻娉曘傚湪杩欑鎯呭喌涓锛孉鏄竴涓3涔3鐨勭煩闃碉紝B鏄竴涓3涔1鐨勭煩闃碉紝鍥犳瀹冧滑鐨勪箻娉曟槸鍙鐨勶紝缁撴灉鐨勭煩闃靛舰鐘舵槸3涔1銆傚叿浣撹绠楄繃绋嬪涓嬶細棣栧厛锛岀粨鏋滅煩闃电殑姣忎竴琛岄兘鏄疉鐨勪竴琛屽拰B鐨勫搴斿垪鐨勫厓绱犵浉...
  • 涓涓煩闃鍒楁弧绉╂剰鍛崇潃浠涔,鑳藉叏闈㈡荤粨鍚?
    绛旓細涓句釜渚嬪瓙锛屽鏋A鏄竴涓3脳3鐭╅樀锛濡傛灉姣忎竴鍒楅兘鏄嫭绔嬬殑锛屽嵆娌℃湁涓や釜鍒楀悜閲忔槸绾挎х浉鍏崇殑锛岄偅涔堝畠鐨勭З灏辨槸3锛岃繖鎰忓懗鐫瀹冨彲浠ヨ〃绀轰笁缁寸┖闂翠腑鐨勬墍鏈夊悜閲忋傚弽涔嬶紝濡傛灉瀛樺湪绾挎х浉鍏筹紝绉╁氨浼氬噺灏戯紝渚嬪锛屽鏋滃叾涓袱鍒楁槸绾挎х粍鍚堬紝绉╁氨鍙樹负2锛杩欐剰鍛崇潃鍒楀悜閲忓彧鑳藉舰鎴愪竴涓簩缁村钩闈傚綋鎴戜滑鍦ㄧ煩闃垫柟绋婣x=b涓...
  • 鐭╅樀A鏄竴涓3脳3鐨勭煩闃,B鏄竴涓3脳2鐨勭煩闃,缂栫▼姹A脳B
    绛旓細include<stdio.h> int main(void){ int a[3][3] = {{1,2,3},{4,5,6},{7,8,9}};int b[3][2] = {{1,2,3},{4,5,6}};int c[3][3];int i,j,k;for(i=0;i<3;i++){ for(j=0;j<2;j++){ //c[i][j]鏄煩闃c鐨勬瘡涓涓鍏冪礌 c[i][j] = 0;for(k=0;...
  • a脳b鐭╅樀鏄庢牱璁$畻鍑烘潵鐨?
    绛旓細涓句釜渚嬪瓙锛屽亣璁a鏄竴涓3脳2鐨勭煩闃碉紝b鏄竴涓2脳3鐨勭煩闃碉紝閭d箞瀹冧滑鐨勪箻绉痗鏄竴涓3脳3鐨勭煩闃銆傚叿浣撹绠楄繃绋嬪涓嬶細灏a鐭╅樀鐨勭1琛屼笌b鐭╅樀鐨勭1鍒楀搴斿厓绱犵浉涔橈細2脳1=2锛涘皢a鐭╅樀鐨勭1琛屼笌b鐭╅樀鐨勭2鍒楀搴斿厓绱犵浉涔橈細3脳2=6锛涘皢a鐭╅樀鐨勭1琛屼笌b鐭╅樀鐨勭3鍒楀搴斿厓绱犵浉涔橈細4脳3=12銆傚皢涓婅堪涓...
  • 鎬庢牱鍒ゆ柇鏌愪竴鍒楃殑鍏冪礌涓暟?
    绛旓細瀵逛簬涓涓猰脳n鐨勭煩闃A锛鍏惰鍒楀紡閫氬父琛ㄧず涓篸et(A)鎴東A|銆傝鍒楀紡鐨勯」鏁板氨鏄煩闃典腑鍏冪礌鐨勪釜鏁帮紝鍗砿脳n涓厓绱犮傚叿浣撴潵璇达紝瀵逛簬涓涓2脳2鐨勭煩闃碉紝鍏惰鍒楀紡鏈2涓」锛涘浜涓涓3脳3鐨勭煩闃碉紝鍏惰鍒楀紡鏈6涓」锛涘浜庝竴涓4脳4鐨勭煩闃碉紝鍏惰鍒楀紡鏈12涓」锛屼互姝ょ被鎺ㄣ傞渶瑕佹敞鎰忕殑鏄紝瀵逛簬鏂归樀锛堝嵆琛屾暟鍜屽垪鏁...
  • 绾挎т唬鏁,涓涓涓夎涓鍒楃煩闃典箻浠ヤ竴涓笁琛屼袱鍒鐭╅樀,鎬庝箞涔?
    绛旓細琚箻鐭╅樀鐨勮鍚戦噺渚濇涔樹互涔樼煩闃电殑鍒楀悜閲(鍐呯Н)浣滀负绉殑瀵瑰簲鍏冪礌銆3脳3鐨勭煩闃A涓3脳2鐨勭煩闃礏鐩镐箻缁撴灉涓3脳2鐨勭煩闃礐銆傚亣璁綼ij涓鐭╅樀A鐨勭i琛岀j鍒楃殑鍏冪礌锛屽亣璁綽jk涓虹煩闃礏鐨勭j琛岀k鍒楀厓绱狅紝鍋囪cik涓虹煩闃电i琛岀k鍒楃殑鍏冪礌銆俢ik=鈭慳ij bjk鍏朵腑j浠1鍙栧肩煩闃礏鐨勬渶澶ц銆
  • A鏄竴涓3*3鐨勭煩闃,a1=3a2-2a3. 闂瓵x=0鏈夐潪骞冲嚒瑙d箞?A鏄潪濂囧紓鐨勪箞?瑙i噴...
    绛旓細鍥犱负绗竴琛屽彲鐢2.3涓よ琛ㄧず 鎵浠ョ粡杩囪鍙樻崲浼氭秷鍘诲叾涓竴琛 鏁呮湁闈為浂瑙 鍚屾椂A鐨勮川灏忎簬3 鎵浠ユ槸濂囧紓鐭╅樀
  • 鐭╅樀涔樻硶銆傝闂庝箞鐪嬪嚭A鏄竴涓3✘3鐨鏂归樀鍛??
    绛旓細鏄剧劧伪1锛伪2锛伪3鏄3涓垪鍚戦噺 鍒鐭╅樀(伪1锛屛2锛屛3)鏄3x3鐭╅樀 鑰屾柟闃礎涓(伪1锛屛2锛屛3)鍙互鐩镐箻锛屽垯A鏄3x3鐭╅樀
  • 璁A鏄3脳3鐭╅樀,涓旂ЗR(A)=2,鑰孊鍙,鍒橰(BA)=___闇瑕佽瑙h阿璋
    绛旓細R(AB)=2鍝 鍥犱负A鏄鍙嗙殑 鎵浠鍙互琛ㄧず鎴怤涓垵绛夋柟闃电殑涔樼Н 鐒跺悗鍒濈瓑鍙樻崲涓嶄細鏀瑰彉鐭╅樀鐨勭З 浠ヤ笂閮芥槸涔︿笂鐨勫熀鏈畾涔 鎵浠(AB)=R锛圔锛=2 婊℃剰璇烽噰绾
  • 扩展阅读:线代a*怎么算 ... 线代a*怎么求 ... 解矩阵方程 2 2 3 4 x-x ... a'是什么矩阵 ... 3x1矩阵与1x3矩阵得到 ... 一张图看懂矩阵运算 ... 矩阵tr(a)怎么算 ... 2乘3的矩阵是几行几列 ... 两个3 3矩阵相乘怎么算 ...

    本站交流只代表网友个人观点,与本站立场无关
    欢迎反馈与建议,请联系电邮
    2024© 车视网