实对称矩阵的逆的转置矩阵等于它的逆矩阵吗 对称矩阵的逆矩阵和转置矩阵关系

\u77e9\u9635\u7684\u9006\u7684\u8f6c\u7f6e\u7b49\u4e8e\u77e9\u9635\u7684\u8f6c\u7f6e\u7684\u9006\u5417

\u82e5\u77e9\u9635\u4e3a\u65b9\u9635\u4e14\u5176\u9006\u77e9\u9635\u5b58\u5728\u65f6\uff0c\u77e9\u9635\u7684\u9006\u7684\u8f6c\u7f6e \u7b49\u4e8e \u77e9\u9635\u7684\u8f6c\u7f6e\u7684\u9006\u3002
\u6ce8\u610f;\u53ea\u6709\u65b9\u5f62\u77e9\u9635\u624d\u6709\u77e9\u9635\u7684\u9006\uff0c\u800c\u975e\u65b9\u5f62\u7684\u53eb\u505a\u201c\u77e9\u9635\u7684\u4f2a\u9006\u201d\uff0c\u6b64\u5904\u53ea\u8bba\u65b9\u9635\u3002\u5176\u6b21\u53ea\u6709\u5f53\u65b9\u9635\u7684\u884c\u5217\u5f0f\u4e0d\u4e3a0\u65f6\uff0c\u5176\u9006\u77e9\u9635\u624d\u5b58\u5728\uff0c\u6545\u8fd9\u91cc\u53ea\u8ba8\u8bba\u5176\u884c\u5217\u5f0f\u4e0d\u4e3a0\u7684\u65b9\u9635\uff08\u53ea\u8981\u6709\u4efb\u610f\u4e00\u884c\u6216\u4e00\u5217\u5168\u65870\u7684\u65b9\u9635\uff0c\u5176\u884c\u5217\u5f0f\u503c\u4e3a0\uff0c\u4f46\u4e0d\u4ec5\u9650\u4e8e\u6b64\uff09.
\u5148\u7b97\u77e9\u9635\u7684\u9006\u7684\u8f6c\u7f6e

\u7b97\u6b64\u77e9\u9635\u7684\u8f6c\u7f6e\u7684\u9006

\u6545\u8bc1\u660e\u6210\u7acb\u3002
\u6269\u5c55\u8d44\u6599\uff1a
\u9006\u77e9\u9635\u7684\u6027\u8d28
\u6027\u8d28\u5b9a\u7406
\u53ef\u9006\u77e9\u9635\u4e00\u5b9a\u662f\u65b9\u9635\u3002
\u5982\u679c\u77e9\u9635A\u662f\u53ef\u9006\u7684\uff0c\u5176\u9006\u77e9\u9635\u662f\u552f\u4e00\u7684\u3002
A\u7684\u9006\u77e9\u9635\u7684\u9006\u77e9\u9635\u8fd8\u662fA\u3002\u8bb0\u4f5c\uff08A-1\uff09-1=A\u3002
\u53ef\u9006\u77e9\u9635A\u7684\u8f6c\u7f6e\u77e9\u9635AT\u4e5f\u53ef\u9006\uff0c\u5e76\u4e14\uff08AT\uff09-1=\uff08A-1\uff09T (\u8f6c\u7f6e\u7684\u9006\u7b49\u4e8e\u9006\u7684\u8f6c\u7f6e\uff09
\u82e5\u77e9\u9635A\u53ef\u9006\uff0c\u5219\u77e9\u9635A\u6ee1\u8db3\u6d88\u53bb\u5f8b\u3002\u5373AB=O\uff08\u6216BA=O\uff09\uff0c\u5219B=O\uff0cAB=AC\uff08\u6216BA=CA\uff09\uff0c\u5219B=C\u3002
\u4e24\u4e2a\u53ef\u9006\u77e9\u9635\u7684\u4e58\u79ef\u4f9d\u7136\u53ef\u9006\u3002
\u77e9\u9635\u53ef\u9006\u5f53\u4e14\u4ec5\u5f53\u5b83\u662f\u6ee1\u79e9\u77e9\u9635\u3002
\u8bc1\u660e
\u9006\u77e9\u9635\u662f\u5bf9\u65b9\u9635\u5b9a\u4e49\u7684\uff0c\u56e0\u6b64\u9006\u77e9\u9635\u4e00\u5b9a\u662f\u65b9\u9635\u3002
\u8bbeB\u4e0eC\u90fd\u4e3aA\u7684\u9006\u77e9\u9635\uff0c\u5219\u6709B=C
\u5047\u8bbeB\u548cC\u5747\u662fA\u7684\u9006\u77e9\u9635\uff0cB=BI=B\uff08AC\uff09=\uff08BA\uff09C=IC=C\uff0c\u56e0\u6b64\u67d0\u77e9\u9635\u7684\u4efb\u610f\u4e24\u4e2a\u9006\u77e9\u9635\u76f8\u7b49\u3002
\u7531\u9006\u77e9\u9635\u7684\u552f\u4e00\u6027\uff0cA-1\u7684\u9006\u77e9\u9635\u53ef\u5199\u4f5c\uff08A-1\uff09-1\u548cA\uff0c\u56e0\u6b64\u76f8\u7b49\u3002
\u77e9\u9635A\u53ef\u9006\uff0c\u6709AA-1=I \u3002\uff08A-1\uff09 TAT=\uff08AA-1\uff09T=IT=I \uff0cAT\uff08A-1\uff09T=\uff08A-1A\uff09T=IT=I
\u7531\u53ef\u9006\u77e9\u9635\u7684\u5b9a\u4e49\u53ef\u77e5\uff0cAT\u53ef\u9006\uff0c\u5176\u9006\u77e9\u9635\u4e3a\uff08A-1\uff09T\u3002\u800c\uff08AT\uff09-1\u4e5f\u662fAT\u7684\u9006\u77e9\u9635\uff0c\u7531\u9006\u77e9\u9635\u7684\u552f\u4e00\u6027\uff0c\u56e0\u6b64\uff08AT\uff09-1=\uff08A-1\uff09T\u3002
1\uff09\u5728AB=O\u4e24\u7aef\u540c\u65f6\u5de6\u4e58A-1\uff08BA=O\u540c\u7406\u53ef\u8bc1\uff09\uff0c\u5f97A-1\uff08AB\uff09=A-1O=O
\u800cB=IB=\uff08AA-1\uff09B=A-1\uff08AB\uff09\uff0c\u6545B=O
2\uff09\u7531AB=AC\uff08BA=CA\u540c\u7406\u53ef\u8bc1\uff09\uff0cAB-AC=A(B-C)=O\uff0c\u7b49\u5f0f\u4e24\u8fb9\u540c\u5de6\u4e58A-1\uff0c\u56e0A\u53ef\u9006AA-1=I \u3002
\u5f97B-C=O\uff0c\u5373B=C\u3002
\u53ef\u9006\u7b49\u4ef7\u6761\u4ef6
\u82e5|A|\u22600\uff0c\u5219\u77e9\u9635A\u53ef\u9006\uff0c\u4e14
\u5176\u4e2d\uff0cA*\u4e3a\u77e9\u9635A\u7684\u4f34\u968f\u77e9\u9635\u3002
\u8bc1\u660e\uff1a
\u5fc5\u8981\u6027\uff1a\u5f53\u77e9\u9635A\u53ef\u9006\uff0c\u5219\u6709AA-1=I \u3002\uff08\u5176\u4e2dI\u662f\u5355\u4f4d\u77e9\u9635\uff09
\u4e24\u8fb9\u53d6\u884c\u5217\u5f0f\uff0cdet\uff08AA-1\uff09=det\uff08I\uff09=1\u3002
\u7531\u884c\u5217\u5f0f\u7684\u6027\u8d28\uff1adet\uff08AA-1\uff09=det\uff08A\uff09det\uff08A-1\uff09=1
\u5219det\uff08A\uff09\u22600\uff0c\uff08\u82e5\u7b49\u4e8e0\u5219\u4e0a\u5f0f\u7b49\u4e8e0\uff09
\u5145\u5206\u6027\uff1a\u6709\u4f34\u968f\u77e9\u9635\u7684\u5b9a\u7406\uff0c\u6709
\uff08\u5176\u4e2d \u662f\u7684\u4f34\u968f\u77e9\u9635\u3002\uff09
\u5f53det\uff08A\uff09\u22600\uff0c\u7b49\u5f0f\u540c\u9664\u4ee5det\uff08A\uff09\uff0c\u53d8\u6210

\u6bd4\u8f83\u9006\u77e9\u9635\u7684\u5b9a\u4e49\u5f0f\uff0c\u53ef\u77e5\u9006\u77e9\u9635\u5b58\u5728\u4e14\u9006\u77e9\u9635

\u53c2\u8003\u8d44\u6599\uff1a\u767e\u5ea6\u767e\u79d1-\u9006\u77e9\u9635

\u4eb2\uff0c\u8fd9\u4e2a\u662f\u4e0d\u4e00\u5b9a\u7684\u54e6\u3002
\u5bf9\u79f0\u77e9\u9635\u7684\u5b9a\u4e49\u662f\u6ee1\u8db3A^T=A\uff08A\u7684\u8f6c\u7f6e=A\u672c\u8eab\uff09\u7684\u77e9\u9635A\u3002
A^T A\u4e0d\u4e00\u5b9a\u4e3a\u5355\u4f4d\u77e9\u9635\u7684\uff0c\u6240\u4ee5A^-1\u4e0d\u4e00\u5b9a\u7b49\u4e8eA^T=A\u3002
\u5982\u5bf9\u79f0\u77e9\u9635A\u4e3a\uff1a
1 2
2 1 \u8fd9\u4e5f\u662fA^T
\u5b83\u7684\u9006\u77e9\u9635\u4e3a\uff1a
-1/3 2/3
2/3 -1/3
\u53ef\u89c1\u4e24\u8005\u5e76\u4e0d\u76f8\u7b49\u3002

\u6ee1\u8db3A^-1 = A^T\u7684\u77e9\u9635A\u79f0\u4e3a\u6b63\u4ea4\u77e9\u9635\uff0c\u5b83\u7684\u5217\u5411\u91cf\u6784\u6210\u4e00\u7ec4\u6807\u51c6\u6b63\u4ea4\u57fa\u3002


\u4f60\u662f\u5177\u4f53\u9047\u5230\u54ea\u4e2a\u77e9\u9635\uff1f\u8bf4\u51fa\u6765\uff0c\u8bf4\u4e0d\u5b9a\u6709\u5176\u4ed6\u6027\u8d28\u4f60\u5ffd\u7565\u4e86.
\u795d\u597d~

等于,因为他的逆也是对称矩阵,注意到转置和逆是可交换的,也就是(A^-1)^T=(A^T)^(-1),因为A是对称的,故(A^-1)^T=A^(-1)得证。

实对称矩阵A的不同特征值对应的特征向量是正交的。实对称矩阵A的特征值都是实数,特征向量都是实向量。n阶实对称矩阵A必可对角化,且相似对角阵上的元素即为矩阵本身特征值。

扩展资料:

将A的所有元素绕着一条从第1行第1列元素出发的右下方45度的射线作镜面反转,即得到A的转置。设A为m×n阶矩阵(即m行n列),第i 行j 列的元素是a(i,j),即:A=a(i,j)。

定义A的转置为这样一个n×m阶矩阵B,满足B=b(j,i),即 a(i,j)=b (j,i)(B的第i行第j列元素是A的第j行第i列元素),记A'=B。

如果矩阵A和B互逆,则AB=BA=I。由条件AB=BA以及矩阵乘法的定义可知,矩阵A和B都是方阵。再由条件AB=I以及定理“两个矩阵的乘积的行列式等于这两个矩阵的行列式的乘积”可知,这两个矩阵的行列式都不为0。

参考资料来源:百度百科——实对称矩阵



等于,因为他的逆也是对称矩阵

注意到转置和逆是可交换的,也就是(A^-1)^T=(A^T)^(-1)

因为A是对称的,故(A^-1)^T=A^(-1)得证。



  • 瀹炲绉扮煩闃a鐨勮浆缃瓑浜a鍚
    绛旓細绛変簬銆傛牴鎹瘑鍏哥櫨绉戞煡璇紝瀹炲绉扮煩闃鏄寚涓涓猲脳n鐨勫疄鏁扮煩闃碉紝婊¤冻A'=A锛屽叾涓瑼'琛ㄧずA鐨勮浆缃備篃灏辨槸璇达紝濡傛灉A鏄竴涓疄瀵圭О鐭╅樀锛岄偅涔堝畠鐨勮浆缃瓑浜庡畠鏈韩銆傚洜姝わ紝瀹炲绉扮煩闃礱鐨勮浆缃瓑浜巃銆
  • 鍦瀹炲绉扮煩闃典腑,A=A鐨勯,瀵瑰悧??涓轰粈涔??
    绛旓細褰撶劧涓嶆纭瀹炲绉扮煩闃锛屽彧鏄姹侫=A鐨勮浆缃煩闃 娌¤姹侫=A鐨勯嗙煩闃点傝屼笖浜嬪疄涓婏紝瀹炲绉扮煩闃碉紝瀹屽叏鏈夊彲鑳芥槸涓嶅彲閫嗙殑鐭╅樀锛屾牴鏈氨娌℃湁閫嗙煩闃点傛瘮鏂硅鎵鏈夊厓绱犻兘鏄0鐨勬柟绋嬶紝涓涓柟闃靛瀷鐨0鐭╅樀锛屽氨鏄竴涓疄瀵圭О鐭╅樀锛岃岃繖涓煩闃垫槸娌℃湁閫嗙煩闃电殑锛屼篃灏辨洿涓嶅彲鑳藉嚭鐜癆锛滱鐨勯嗙殑绛夊紡浜嗐傚綋鐒讹紝鍗充娇鏄...
  • 瀵圭О鐭╅樀鐨勯嗙煩闃鏄粈涔
    绛旓細A鐨勯嗙煩闃鏄瀵圭О鐭╅樀銆傚洜涓篈鏄绉扮煩闃 锛屽叾杞疆鐭╅樀鍜岃嚜韬浉绛夛紝鍒 A^T=A锛涢偅涔 (A^-1)^T = (A^T)^-1 = A^-1锛屾墍浠鐨勯嗙煩闃垫槸瀵圭О鐭╅樀銆傝瘉鏄庤繃绋嬪涓嬶細
  • 瀹炲绉伴樀鐨鐗瑰緛鍚戦噺涔樹互璇ョ壒寰佸悜閲鐨勮浆缃瓑浜浠涔?
    绛旓細绛変簬鍗曚綅闃点傚洜涓哄疄瀵圭О闃电殑鐗瑰緛鍚戦噺鐨勯嗙煩闃电瓑浜璇ョ壒寰佸悜閲鐨勮浆缃锛屾墍浠ョ壒寰佸悜閲忎箻浠ヨ鐗瑰緛鍚戦噺鐨勮浆缃浉褰撲簬鐗瑰緛鍚戦噺涔樹互鑷韩鐨勯嗙煩闃碉紝鍗冲洜涓篈^-1=A^T锛屾墍浠*A^T=A*A^-1=E銆備富瑕佹ц川锛1.瀹炲绉扮煩闃A鐨勪笉鍚岀壒寰佸煎搴旂殑鐗瑰緛鍚戦噺鏄浜ょ殑銆2.瀹炲绉扮煩闃礎鐨勭壒寰佸奸兘鏄疄鏁帮紝鐗瑰緛鍚戦噺閮芥槸瀹炲悜閲...
  • 瀹炲绉扮煩闃瀵硅鍖,PA(P鐨勮浆缃)绛変簬瀵硅闃,鑳借鏄嶱鐨勯嗙瓑浜P鐨勮浆缃悧...
    绛旓細褰撶劧涓嶈兘锛岃繖閲屾槸鐩稿悎瀵硅鍖栵紝鍙煡閬揚鏄潪濂囧紓鐨 涓嶈繃瀵逛簬瀹炲绉闃碉紝鎴戜滑鍙互瀵逛粬鍋氭浜ょ浉浼煎瑙掑寲锛屼篃灏辨槸璇达紝瀛樺湪涓涓潪濂囧紓闃礟锛孭鐨勯嗙瓑浜P鐨勮浆缃锛屼娇寰桺A锛圥鐨勮浆缃級绛変簬瀵硅闃碉紝涓嶇煡閬撲綘璇寸殑鏄笉鏄繖涓
  • 濡備綍鎺ㄥ嚭瀹炲绉扮煩闃A涓庡叾閫嗙煩闃鍚堝悓?
    绛旓細璁続鐨勯嗙煩闃涓築 鍒橝B=E锛堝崟浣嶇煩闃碉級鍥犱负A瀵圭О锛孉=ABA=A鈥楤A 鍙堝洜A鍙 鏁匒涓嶣鍚堝悓銆瀹炲绉扮煩闃锛氬鏋滄湁n闃剁煩闃礎锛屽叾鐭╅樀鐨鍏冪礌閮戒负瀹炴暟锛屼笖鐭╅樀A鐨勮浆缃瓑浜鍏舵湰韬紙aij=aji锛(i,j涓哄厓绱犵殑鑴氭爣)锛屽垯绉癆涓哄疄瀵圭О鐭╅樀銆傚悎鍚岋細鏄煩闃典箣闂寸殑涓涓瓑浠峰叧绯伙紝缁忚繃闈為鍖栫殑绾挎ф浛鎹,鏂颁簩娆″瀷鐨勭煩闃...
  • 瀵圭О鐭╅樀鍜瀹炲绉扮煩闃电殑鍖哄埆?
    绛旓細鍖哄埆锛1銆瀹炲绉扮煩闃电殑瀹氫箟鏄細濡傛灉鏈塶闃剁煩闃礎锛屽叾鍚勪釜鍏冪礌閮戒负瀹炴暟锛岀煩闃礎鐨勮浆缃瓑浜鍏舵湰韬紝鍒欑ОA涓哄疄瀵圭О鐭╅樀銆2銆佹浜ゅ彉鎹鍦ㄨ鑼冩浜ゅ熀涓嬬殑鐭╅樀鏄浜ょ煩闃碉紝婊¤冻U*U'=U'*U=I瀵圭О鍙樻崲e鍦ㄨ鑼冩浜ゅ熀涓嬬殑鐭╅樀鏄绉扮煩闃碉紝婊¤冻A'=A 3銆 杞崲鐭╅樀鏄浜ょ煩闃典笉浠h〃琚浆鎹㈢煩闃典竴瀹氭槸瀹炲绉扮煩闃 ...
  • 瀵圭О鐭╅樀涓瀹氬彲閫嗗悧?
    绛旓細涓嶄竴瀹氾紝渚嬪1001杩欎釜鐭╅樀灏辨槸涓畝鍗曠殑瀹炲绉扮煩闃锛屽叾杞疆鐭╅樀绛変簬鍘熺煩闃碉紝鍏跺搴旂殑琛屽垪寮忕瓑浜1锛屽叾瀹炴墍鏈夊崟浣嶇煩闃礒锛岄兘鏄绉扮煩闃点傜煩闃碉紙Matrix锛夋寚鍦ㄦ暟瀛︿腑锛屾寜鐓ч暱鏂归樀鍒楁帓鍒楃殑澶嶆暟鎴栧疄鏁伴泦鍚堬紝鏈鏃╂潵鑷簬鏂圭▼缁勭殑绯绘暟鍙婂父鏁版墍鏋勬垚鐨勬柟闃碉紝鐢19涓栫邯鑻卞浗鏁板瀹跺嚡鍒╅鍏堟彁鍑恒傚畠鏄珮绛変唬鏁板涓殑甯歌宸ュ叿锛...
  • 瀹炲绉扮煩闃电殑浼撮殢鐭╅樀绛変簬杞疆鍚
    绛旓細瀹炲绉扮煩闃电殑浼撮殢鐭╅樀绛変簬杞疆锛屾牴鎹浉鍏冲唴瀹规垜浠彲浠ョ煡閬撳疄瀵圭О鐭╅樀鐨勪即闅忕煩闃电瓑浜庤浆缃紝鎵浠ュ疄瀵圭О鐭╅樀鐨勪即闅忕煩闃电瓑浜庤浆缃
  • 扩展阅读:短视频矩阵系统 ... 实对称转置和逆相等吗 ... 一张图看懂矩阵运算 ... 员工技能矩阵图四分图 ... 对称矩阵的逆的公式 ... 实对称矩阵计算技巧 ... 实对称矩阵的三个结论 ... a为实对称矩阵 那么它的逆 ... 转置和对称矩阵的关系 ...

    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