矩阵奇异分解
2017-09-27 本文已影响30人
阿发贝塔伽马
定理 设
非奇异,则存在正交矩阵P和Q,使得
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其中
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为实对称正定矩阵,于是存在正交矩阵Q使得,
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为
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的特征值
设x为非0特征向量,因为
又因A非奇异,则Ax不等于0,所以
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注意 一般的对称矩阵的特征值没有这个性质
令
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称式(3)为正交矩阵A的正交对角分解
引理:
1、设
则
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是对称矩阵,且其特征值是非负实数。(参照上面的证明)
2、
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证明
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具有相同的解,解空间秩为r,所以相等,都为n-r
3、设
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则A=0的充要条件是
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定义 设A是秩为r的mxn实矩阵,
的特征值为
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则称
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为A的奇异值
奇异值分解定理
设A是秩为r(r>0)的mxn的实矩阵,则存在m阶正交矩阵U与n阶正交矩阵V,使得
其中
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为矩阵A的全部奇异值
证明:设实对称
的特征值为
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存在n阶正交矩阵V使得
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的列向量是两两正交的单位向量,可以将其扩充为m列正交矩阵
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这里U是
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的特征向量
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