Form of symmetric matrix of rank one

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SUMMARY

The discussion centers on proving that a symmetric matrix of rank one, denoted as \( C \), can be expressed in the form \( C = aww^T \), where \( a \) is a scalar and \( w \) is a unit vector. The proof begins by establishing that if \( C \) has rank one, its range space is one-dimensional, leading to the conclusion that \( Cw \) is a scalar multiple of \( w \). The symmetry of \( C \) is confirmed through the relationship \( w^TC = aw^T \), ultimately demonstrating that \( C \) can be represented as \( aww^T \) for any vector \( x \).

PREREQUISITES
  • Understanding of symmetric matrices
  • Knowledge of matrix rank and its implications
  • Familiarity with vector norms and unit vectors
  • Basic linear algebra concepts, including matrix multiplication
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  • Study the properties of symmetric matrices in linear algebra
  • Explore the concept of matrix rank and its significance in linear transformations
  • Learn about the Singular Value Decomposition (SVD) and its relation to matrix rank
  • Investigate applications of rank-one matrices in data science and machine learning
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Mathematicians, students of linear algebra, and professionals working with matrix computations will benefit from this discussion, particularly those interested in the properties of symmetric matrices and their applications in various fields.

i_a_n
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The question is:Let $C$ be a symmetric matrix of rank one. Prove that $C$ must have the form $C=aww^T$, where $a$ is a scalar and $w$ is a vector of norm one.(I think we can easily prove that if $C$ has the form $C=aww^T$, then $C$ is symmetric and of rank one. But what about the opposite direction...that is what we need to prove. How to prove this?)
 
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ianchenmu said:
The question is:Let $C$ be a symmetric matrix of rank one. Prove that $C$ must have the form $C=aww^T$, where $a$ is a scalar and $w$ is a vector of norm one.(I think we can easily prove that if $C$ has the form $C=aww^T$, then $C$ is symmetric and of rank one. But what about the opposite direction...that is what we need to prove. How to prove this?)
If $C$ has rank 1 then the range space of $C$ is 1-dimensional. Let $w$ be a unit (column) vector in this subspace, then $Cw$ must be a scalar multiple of $w$, say $Cw = aw$. Since $C$ is symmetric, $w^TC = (Cw)^T = aw^T.$ Notice also that $w^Tw = 1$ since $w$ is a unit vector.

For any other column vector $x$, $Cx$ must also be a scalar multiple of $w$, say $Cx = \lambda_xw$, which we could equally well write $Cx = w\lambda_x$ since $\lambda$ is a scalar. Then $$\lambda_x = \lambda_x w^Tw = w^T(\lambda_xw) = w^T(Cx) = (w^TC)x = aw^Tx,$$ hence $Cx = w\lambda_x = w(aw^Tx) = aww^Tx$. That holds for all vectors $x$, therefore $C = aww^T.$
 

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