Inner Product and Orthogonal Complement of Symmetric and Skew-Symmetric Matrices

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SUMMARY

The discussion focuses on proving that the subspace of skew-symmetric matrices \( R \) is the orthogonal complement of the subspace of symmetric matrices \( S \) in the vector space \( \mathbb{R}^{n \times n} \) with respect to the inner product defined as \( \langle X, Y \rangle = \text{Tr}(X^T Y) \). Participants emphasize that to establish \( R = S^\bot \), one must demonstrate that the inner product of any skew-symmetric matrix with any symmetric matrix equals zero. This conclusion is essential for understanding the relationship between these two matrix subspaces.

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  • Understanding of inner product spaces
  • Knowledge of symmetric and skew-symmetric matrices
  • Familiarity with the trace operator in linear algebra
  • Basic concepts of orthogonal complements in vector spaces
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Homework Statement



Consider the vector space \Renxn over \Re, let S denote the subspace of symmetric matrices, and R denote the subspace of skew-symmetric matrices. For matrices X,Y\in\Renxn define their inner product by <X,Y>=Tr(XTY). Show that, with respect to this inner product,
R=S\bot

Homework Equations



Definition of inner product
Definition of orthogonal compliment
Definition of symmetric matrix
Definition of skew symmetric matrix

The Attempt at a Solution


If i can show that
R-S\bot=0
will it be sufficient and how do i go about it?
 
Physics news on Phys.org
What do you mean by R- S^{\bot}= 0? To show that R= S^{\bot} you must show that the inner product of any member of R with any member of S is 0, that's all.
 

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