Transforming Matrix Addition to Multiplication without Exponentiation

In summary: Also, this is not really an equation. equation is A.B=X.No, it doesn't. If A and B are n by n matrices, then so are e^A, e^B, and e^Ae^B.
  • #1
aliya
3
0
Suppose two matrices A and B . i want to transform matrix addition to matrix multiplication. e.g A+B into A.B.
Can anybody please tell me of any way i can do it ,except exponentiation? exponentiation gives an infinite answer.
 
Physics news on Phys.org
  • #2
aliya said:
Suppose two matrices A and B . i want to transform matrix addition to matrix multiplication. e.g A+B into A.B.
Can anybody please tell me of any way i can do it ,except exponentiation? exponentiation gives an infinite answer.

It is certainly true that [itex]e^{A+ B}= e^Ae^B[/itex] but what do you mean by "exponentiation gives an infinite answer"?
 
  • #3
HallsofIvy said:
It is certainly true that [itex]e^{A+ B}= e^Ae^B[/itex] but what do you mean by "exponentiation gives an infinite answer"?

[itex]e^{A+ B}= e^Ae^B[/itex] if and only if [itex]AB = BA[/itex]
 
  • #4
trambolin said:
[itex]e^{A+ B}= e^Ae^B[/itex] if and only if [itex]AB = BA[/itex]

Don't A and B also need to be n x n matices?
 
Last edited:
  • #5
Thankyou all for your replies.
"By exponentiation gives an infinite answer" i meant that suppose two matrices A and B, their multiplication A.B gives a finite answer i.e another finite matrix. but e^A.e^B give an infinite answer. doesn't it? Also can you please tell if there exists any X such that A.B=X(e^A.e^B)?
 
  • #6
aliya said:
Thankyou all for your replies.
"By exponentiation gives an infinite answer" i meant that suppose two matrices A and B, their multiplication A.B gives a finite answer i.e another finite matrix. but e^A.e^B give an infinite answer. doesn't it?
No, it doesn't. If A and B are n by n matrices, then so are [itex]e^A[/itex], [itex]e^B[/itex], and [itex]e^Ae^B[/itex].

Also can you please tell if there exists any X such that A.B=X(e^A.e^B)?
 
  • #7
ok thanks but " can you please tell if there exists any X such that A.B=X(e^A.e^B)?"
 
  • #8
?? Of course their is:
[tex]X= ABe^{-(A+ B)}[/tex]
 
  • #9
I think he is trying to come up with a logarithm function. But that would be quite restrictive since the function wouldn't be distributive in general.
 

FAQ: Transforming Matrix Addition to Multiplication without Exponentiation

What is a matrix transformation?

A matrix transformation is a mathematical process used to transform a set of points or objects in a coordinate system to a new location or orientation. It involves multiplying a matrix by a set of coordinates to produce a new set of coordinates.

What is the purpose of a matrix transformation?

The purpose of a matrix transformation is to manipulate and change the position, size, and orientation of objects in a coordinate system. It is often used in computer graphics, physics, and engineering to model and simulate real-world transformations.

What are the different types of matrix transformations?

There are several types of matrix transformations, including translation, rotation, scaling, shearing, and reflection. Translation moves an object from one location to another, rotation changes its orientation, scaling changes its size, shearing skews the object, and reflection creates a mirror image of the object.

What is a transformation matrix?

A transformation matrix is a square matrix that describes a specific transformation, such as translation, rotation, or scaling. It is used to perform the transformation on a set of coordinates by multiplying the matrix with the coordinates, resulting in a new set of coordinates.

How is a matrix transformation represented?

A matrix transformation is typically represented using a 3x3 or 4x4 matrix, depending on the number of dimensions being transformed. Each element in the matrix represents a specific transformation, and the matrix can be multiplied with a set of coordinates to produce the new transformed coordinates.

Similar threads

Replies
9
Views
2K
Replies
20
Views
2K
Replies
2
Views
2K
Replies
6
Views
2K
Replies
2
Views
1K
Back
Top