Form of symmetric matrix of rank one

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SUMMARY

A symmetric matrix C of rank one can be expressed in the form C = aww^T, where a is a scalar and w is a unit vector. The proof involves demonstrating that any symmetric matrix of rank one inherently possesses this structure. The discussion emphasizes the necessity of confirming both directions of the proof: that the form guarantees symmetry and rank one, and that any symmetric rank one matrix can be represented in this way.

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  • Understanding of symmetric matrices
  • Knowledge of matrix rank
  • Familiarity with vector norms
  • Basic linear algebra concepts
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  • Explore the implications of matrix rank on matrix representation
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Students and professionals in mathematics, particularly those studying linear algebra, matrix theory, and related fields. This discussion is beneficial for anyone looking to deepen their understanding of symmetric matrices and their properties.

ianchenmu
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Homework Statement



The question is:


Let [itex]C[/itex] be a symmetric matrix of rank one. Prove that [itex]C[/itex] must have the form [itex]C=aww^T[/itex], where [itex]a[/itex] is a scalar and [itex]w[/itex] is a vector of norm one.




Homework Equations


n/a


The Attempt at a Solution


I think we can easily prove that if [itex]C[/itex] has the form [itex]C=aww^T[/itex], then [itex]C[/itex] 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:

Homework Statement



The question is:


Let [itex]C[/itex] be a symmetric matrix of rank one. Prove that [itex]C[/itex] must have the form [itex]C=aww^T[/itex], where [itex]a[/itex] is a scalar and [itex]w[/itex] is a vector of norm one.




Homework Equations


n/a


The Attempt at a Solution


I think we can easily prove that if [itex]C[/itex] has the form [itex]C=aww^T[/itex], then [itex]C[/itex] is symmetric and of rank one. But what about the opposite direction...that is what we need to prove. How to prove this?

Do you know that if C is symmetric, it can be diagonalized?
 

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