A question on linear algebra(also Matlab related)

In summary, the division operation in the picture is not a traditional division, but rather a method used in MATLAB to solve systems of linear equations. The operation is also known as left division and is represented as A\b. This notation is not standard and is used to distinguish between "division on the left" and "division on the right".
  • #1
mech-eng
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Hi, Can someone explain me the division operation in the picture. First for left division we use (.\ ) not only ( \ ) And it is strange that when we divide first column of A by first column of B( here first column of B is 44) how can we find -5.1250 ?
 

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  • #4
That just happens to be what MATLAB calls the method that solves the linear system. A person could also write it as mldivide(A,b). Also, in MATLAB A.\B nd A\B are equivalent statements. Try it out.
 
  • #5
That's NOT standard notation. If Ax= b (and A is invertible) then [itex]x= A^{-1}b[/itex]. if xA= b then [itex]x= bA^{-1}[/itex]. Because standard division (a/b) does not distinguish between "divide on the left" and "divide on the right" we don't normally use that notation.

That particular author (and possibly math lab- I don't use it) is using a special notation to distinguish between "division on the left" ([itex]A^{-1}b[/itex]) and "division on the right" ([itex]bA^{-1}[/itex]).
 

1. What is linear algebra and why is it important in scientific research?

Linear algebra is a branch of mathematics that deals with linear equations and their representations in vector spaces. It is important in scientific research because it provides a powerful framework for solving complex problems and analyzing data in various fields such as physics, engineering, and computer science.

2. What is the difference between a matrix and a vector in linear algebra?

A matrix is a rectangular array of numbers, while a vector is a one-dimensional array of numbers. Matrices are used to represent linear transformations and systems of linear equations, while vectors are used to represent quantities with both magnitude and direction.

3. Can you explain the concept of matrix multiplication in linear algebra?

Matrix multiplication is a way of combining two matrices to create a new matrix. It involves multiplying each element of one matrix by the corresponding element in the other matrix and then summing the products. This process is used to transform data and solve systems of linear equations.

4. How is linear algebra used in Matlab?

Matlab is a powerful tool for performing mathematical operations and data analysis, and it has built-in functions for linear algebra operations such as matrix multiplication, finding eigenvalues and eigenvectors, and solving systems of linear equations. It also allows for easy visualization of data and results, making it a valuable tool for scientists.

5. Can you provide an example of a real-world application of linear algebra?

One example of a real-world application of linear algebra is in image processing. Images can be represented as matrices of pixels, and linear algebra operations such as matrix multiplication and eigenvalue decomposition can be used to manipulate and analyze the image data. This allows for tasks such as image enhancement, pattern recognition, and compression.

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