Multiplying a matrix by its transpose

In summary, for matrices to be multiplied, the number of columns of the first matrix should be equal to the number of rows of the other matrix. This means that a matrix of size n x m can only be multiplied by a matrix of size m x l. The resulting matrix will have a size of n x l and a rank of at most m. The multiplication process involves multiplying each component of the first matrix by the corresponding component in the second matrix and summing them up.
  • #1
g.lemaitre
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Homework Statement



I don't see how you multiply a matrix by its transpose. If a matrix is 3 x 2 then its transpose is 2 x 3. I thought you couldn't multiply matrices unless they have the same rows and columns.
 
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  • #2


For matrices to be multiplied, the condition is that the number of columns of the first matrix should be equal to the number of rows of the other matrix.
 
  • #3


Nope, if a matrix A is n x m and B is m x l then AB is defined

If you do the same procedure of matric multiplication you'll see that multiplying a 3 x 2 and a 2 x 3 matrix gives you a 3 x 3 matrix of rank at most 2
If you multiply 2 x 3 by 3 x 2 you'll get a 2 x 2 matrix with rank, also (and obviously), at most 2

In terms of components if A = BC, where B is n x m and C is m x l, then

[itex]A_{i,k} = \sum_{j=1}^m B_{i,j} C_{j,k}[/itex]
 

1. What is the purpose of multiplying a matrix by its transpose?

The purpose of multiplying a matrix by its transpose is to transform the original matrix into a new matrix with different properties. This transformation is useful in various mathematical and statistical applications.

2. How is the resulting matrix different from the original matrix?

The resulting matrix from multiplying a matrix by its transpose is always a square matrix with dimensions equal to the number of rows or columns in the original matrix. It is also symmetric, meaning that the values on either side of the main diagonal are equal.

3. Are there any special properties of the resulting matrix?

Yes, the resulting matrix has several special properties, such as being symmetric and having real eigenvalues. It is also positive semi-definite, meaning that all of its eigenvalues are non-negative.

4. What is the significance of multiplying a matrix by its transpose in statistics?

In statistics, multiplying a matrix by its transpose is used to calculate the covariance matrix, which is a measure of the relationship between variables. It is also used in principal component analysis (PCA) to reduce the dimensionality of data.

5. Can any matrix be multiplied by its transpose?

No, a matrix can only be multiplied by its transpose if it is a square matrix. The dimensions of the original matrix and its transpose must be the same for the multiplication to be possible.

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