Proof of symmetric and anti symmetric matrices

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SUMMARY

The discussion centers on proving that the product of a symmetric matrix \( a_{ij} \) and an anti-symmetric matrix \( b_{ij} \) equals zero. It is established that while the product of specific matrices, such as \( \begin{pmatrix}1 & 0 \\ 0 & 1\end{pmatrix} \) and \( \begin{pmatrix}0 & 1 \\ -1 & 0\end{pmatrix} \), does not yield zero, the summation of their components \( a_{ij}b_{ij} \) does equal zero under the condition of repeated indices. The discussion emphasizes the importance of understanding matrix multiplication and the implications of interchanging indices.

PREREQUISITES
  • Understanding of symmetric matrices and their properties
  • Familiarity with anti-symmetric matrices and their characteristics
  • Knowledge of matrix multiplication and index notation
  • Basic linear algebra concepts, including matrix operations
NEXT STEPS
  • Study the properties of symmetric and anti-symmetric matrices in detail
  • Learn about matrix multiplication and the implications of index notation
  • Explore examples of symmetric and anti-symmetric matrices in linear transformations
  • Investigate the implications of matrix products in higher-dimensional spaces
USEFUL FOR

Students of linear algebra, mathematicians, and anyone involved in matrix theory or related fields will benefit from this discussion.

prawinath
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Homework Statement



aij is a symmetric matrix
bij is a an anti symmetric matrix

prove that aij * bij = 0


Homework Equations



aij * bij

The Attempt at a Solution




any one got any ideas ?
 
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HINT: What happens when you interchange the indices?
 
a_{ij} doesn't denote a matrix. It denotes the component on row i, column j, of a matrix.

Since \begin{pmatrix}1 & 0 \\ 0 & 1\end{pmatrix}\begin{pmatrix}0 & 1 \\ -1 & 0\end{pmatrix}=\begin{pmatrix}0 & 1 \\ -1 & 0\end{pmatrix}\neq 0, it's not true that the product of a symmetric and an antisymmetric matrix is =0. On the other hand, it is true that a_{ij}b_{ij}=0 (assuming that repeated indices are summed over). You should take some time to think about what the expression a_{ij}b_{ij} really means, and what matrix operation(s) it involves.

Do you know the definition of matrix multiplication? If a_{ij} denotes a component of a matrix A, and b_{ij} denotes a component of a matrix B. Then what will you find on row i, column j of AB?
 

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