Sava's question via email about symmetric matrices

In summary, using the result $\displaystyle \begin{align*} \left( M\,N \right) ^T = N^T\,M^T \end{align*}$, it can be proven that for any matrix $\displaystyle \begin{align*} C \end{align*}$, $\displaystyle \begin{align*} C^T\,C \end{align*}$ is a symmetric matrix since $\displaystyle \begin{align*} \left( C^T\,C \right) ^T = C^T\,C \end{align*}$.
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Use the result $\displaystyle \begin{align*} \left( M\,N \right) ^T = N^T\,M^T \end{align*}$ to prove that for any matrix $\displaystyle \begin{align*} C \end{align*}$, $\displaystyle \begin{align*} C^T\,C \end{align*}$ is a symmetric matrix.

A matrix is symmetric if it is equal to its own transpose, so to show $\displaystyle \begin{align*} C^T\,C \end{align*}$ is symmetric, we need to prove that $\displaystyle \begin{align*} \left( C^T\,C \right) ^T = C^T\,C \end{align*}$.

$\displaystyle \begin{align*} \left( C^T\,C \right) ^T &= C^T\,\left( C^T \right) ^T \textrm{ as } \left( M\,N \right) ^T = N^T\,M^T \\ &= C^T\,C \end{align*}$

Since for any matrix $\displaystyle \begin{align*} C \end{align*}$, $\displaystyle \begin{align*} \left( C^T\,C \right) ^T = C^T\,C \end{align*}$, that means $\displaystyle \begin{align*} C^T\,C \end{align*}$ is a symmetric matrix.
 
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QED...
 

1. What is a symmetric matrix?

A symmetric matrix is a square matrix that is equal to its transpose. This means that the elements in the matrix are symmetric about the main diagonal, which runs from the top left to the bottom right. In other words, the value at row i and column j is the same as the value at row j and column i.

2. What is the significance of symmetric matrices?

Symmetric matrices have many important properties and applications in mathematics and science. They are used in linear algebra, graph theory, and optimization problems. In addition, they have special properties that make them easier to work with, such as having real eigenvalues and orthogonal eigenvectors.

3. How do you determine if a matrix is symmetric?

To determine if a matrix is symmetric, you can compare the matrix to its transpose. If the two matrices are equal, then the original matrix is symmetric. Another way to check is to see if the elements are symmetric about the main diagonal, as mentioned earlier. If these conditions are met, then the matrix is symmetric.

4. Can a non-square matrix be symmetric?

No, a non-square matrix cannot be symmetric. Symmetric matrices are defined as square matrices, meaning they have an equal number of rows and columns. Non-square matrices do not have this property and therefore cannot be symmetric.

5. What is the relationship between symmetric matrices and diagonal matrices?

Diagonal matrices are a special type of symmetric matrix where all of the off-diagonal elements are equal to zero. In other words, the elements are only non-zero on the main diagonal. This means that all diagonal matrices are symmetric, but not all symmetric matrices are diagonal. Diagonal matrices also have many important properties and applications in mathematics and science.

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