Matrix multiplication to addition

In summary, the conversation discusses the possibility of a transformation that relates a matrix product with a matrix addition. It is mentioned that in general, such a transformation is not possible due to a dimensional mismatch. However, there may be ways to achieve this through "clever" methods, such as using functions like logarithms of matrices. Ultimately, the question is whether a transformation exists for the equation AB*u = f(A)*u + f(B)*u, where u is a vector and f,g() are functions, and it is suggested to consider whether such a transformation is possible for numbers before attempting to find a solution for matrices.
  • #1
yiorgos
18
0
I am looking for a transformation that relates a matrix product with a matrix addition, e.g.
AB = PA + QB

Is there any such transformation?
Thnx
 
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  • #2
In general, the answer would be no, simply because of a dimensional mismatch.
Suppose A is an n x m matrix and B is m x r (the first dimension has to be m otherwise AB does not make sense). Then AB is n x r. However, P will be p x n and Q will be q x m, for some numbers p and s (the second coordinate is fixed because the products will have to make sense). All this only works out if p = q = m = r which restricts the validity of the theorem, if it were true, quite a lot.

Oh, and if you do get the dimensions to work out, there is of course the trivial solution P = 0n x m, Q = A.
 
  • #3
Thanks for the answer.
You are right about the particular transformation yet that was just a naive example I gave.

I am sure there exist "clever" ways to achieve this.

For example
http://en.wikipedia.org/wiki/Logarithm_of_a_matrix

I don't know if that helps more but what I actually need is
the below transformation.
AB*u -> f(A)*u + f(B)*u

where u is a vector and f,g() some functions (like the one in the link I gave)
 
  • #4
Well, a single number can be thought of as a "one by one" matrix so the first thing you should think about is "if A and B are numbers, do there necessarily exist a function f such that ABu= f(A)u+ f(B)u for every number u?"
 
  • #5
HallsofIvy said:
Well, a single number can be thought of as a "one by one" matrix so the first thing you should think about is "if A and B are numbers, do there necessarily exist a function f such that ABu= f(A)u+ f(B)u for every number u?"

So in short you are saying that this transformation doesn't hold?
 

Related to Matrix multiplication to addition

1. What is matrix multiplication to addition?

Matrix multiplication to addition is a mathematical operation that involves multiplying two matrices and then adding the resulting products together. It is used in linear algebra and is an important concept in many fields of science, particularly in computer science and physics.

2. How is matrix multiplication to addition performed?

To perform matrix multiplication to addition, the number of columns in the first matrix must match the number of rows in the second matrix. The resulting matrix will have the same number of rows as the first matrix and the same number of columns as the second matrix. The individual elements of the resulting matrix are calculated by multiplying the corresponding elements of the two matrices and then adding them together.

3. What is the purpose of matrix multiplication to addition?

The purpose of matrix multiplication to addition is to combine information from two matrices into a single matrix. This allows for more complex calculations and can be used to solve systems of linear equations and perform transformations in geometry.

4. Can matrix multiplication to addition be applied to matrices of any size?

Yes, matrix multiplication to addition can be applied to matrices of any size as long as the number of columns in the first matrix matches the number of rows in the second matrix.

5. Are there any rules or properties associated with matrix multiplication to addition?

Yes, there are several rules and properties that apply to matrix multiplication to addition. Some of these include the commutative property (where the order of the matrices can be switched), the associative property (where the order of multiplication can be changed), and the distributive property (where scalar multiplication can be distributed over addition).

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