Multiplication of two matrices

In summary, the conversation discusses the potential solutions of the matrix product AB when matrix B has either infinite solutions or no solutions. It is stated that if B has infinite solutions, then the product AB will also have infinite solutions and this can be proven using the concept of rank and vector spaces. However, if B does not have infinite solutions and A is singular, then there may be more solutions for AB than just those when B is equal to 0. The conversation also mentions that the concept of rank and vector spaces may be necessary for understanding and proving this concept.
  • #1
Zeato
7
0
Hi, thank you for viewing this thread. My question is as follow:

Suppose A is a n x m matrix and B is a m x n matrix, and we also know that the matrix B has infinite solutions, then what will the solution/s of the matix product AB be? I am thinking that it might be a matrix of infinite solutions, but is there a proof to show this case?

Now suppose we let A be a n x m matrix with no solution, and the conditions for B in the previous paragraph still hold. Then what will the solution of the matrix product AB be in this case? Just wondering if there is a proof to illustrate this case again?
 
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  • #2
What do you mean by a matrix with no solutions or infinite solutions? Are you referring to a matrix equation Ax=b, and solving for x?
 
  • #3
I think the result that you need is

[tex]\operatorname{rank}(AB) \leq \min(\operatorname{rank}\,A, \operatorname{rank}\,B)[/tex]

If [tex]\operatorname{rank}\,C < \operatorname{dim}\,C[/tex] then the system of equations [tex] C\cdot x = b [/tex] does not have a unique solution, but rather "infinite solutions" that span a space of dimension [tex]\operatorname{dim}\,C-\operatorname{rank}\,C[/tex].

Now let [tex] C = A\cdot B [/tex] where [tex]B[/tex] is not of maximal rank (as in your question) and you can work out the answer...
 
  • #4
Hi, sorry for the confusion caused, actually what i meant is having matix B in the form Bx=0 and having infinite solutions, so will the multiplication of matrix A onto Bx=0, ABx=0,result in a product where there are infinite solutions as well, regardless of what A is? Is there a proof in showing it?

Now if we change the conditions to let the matrix A of the equation Ax=0 be a matrix with no solution, while the conditions for B still hold. So will the product ABx=0 changes anything as compared to the first question?

Erm,I have just started Linear Algebra and have not gone into rank/ vector spaces yet. Is the mentioned topic a prequsite to understanding/ proving this concept?
 
  • #5
If Bv= 0 has an infinite number of solutions, then A(Bv)= A(0)= 0 for every such v and so ABv= 0 also has an infinite number of solutions. In fact, if A itself is singular, then there may exist MORE solution that just those such that B= 0.

Now, "Now suppose we let A be a n x m matrix with no solution", if you still mean Ax= 0, is impossible. That always has the solution x= 0.
 

1. What is the definition of multiplication of two matrices?

The multiplication of two matrices is an operation in linear algebra where two matrices are combined to create a new matrix. It involves multiplying the elements of one matrix with the corresponding elements of the other matrix and then adding the products together.

2. What are the requirements for two matrices to be multiplied?

In order to multiply two matrices, the number of columns in the first matrix must be equal to the number of rows in the second matrix. For example, a 3x4 matrix can only be multiplied by a 4x2 matrix, resulting in a new 3x2 matrix.

3. How do you perform multiplication of two matrices?

To perform multiplication of two matrices, you need to multiply each element in a row of the first matrix with each element in a column of the second matrix, and then add the products together. This process is repeated for each row and column pair until a new matrix is formed.

4. Can the order of multiplication of two matrices be changed?

Yes, the order of multiplication of two matrices can be changed, but the resulting matrix will be different. Matrix multiplication is not commutative, meaning that the order in which matrices are multiplied matters.

5. What is the significance of matrix multiplication in real-world applications?

Matrix multiplication is used in a variety of real-world applications, such as computer graphics, economics, and physics. It is also used in data analysis and machine learning to perform complex calculations and transformations on large datasets.

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