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之前的章节主要讲解了线性代数中最重要的线性变换和算子,又由算子引申出来的本征值和本征向量,试图直达线性变换和矩阵的本质。 但是我们还忽略了其他重要的特性,例如长度和角度的概念,这几个概念隐含于我们这章要研究的內积这个概念之中。
老规矩,F表示R或C,也就是实数域和复数域。V表示F上的向量空间。
(to be continued)
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线性代数学习笔记之内积空间
之前的章节主要讲解了线性代数中最重要的线性变换和算子,又由算子引申出来的本征值和本征向量,试图直达线性变换和矩阵的本质。
但是我们还忽略了其他重要的特性,例如长度和角度的概念,这几个概念隐含于我们这章要研究的內积这个概念之中。
老规矩,F表示R或C,也就是实数域和复数域。V表示F上的向量空间。
內积与范数
內积
(to be continued)
The text was updated successfully, but these errors were encountered: