How to Write Out a 2 x 3 Matrix in Linear Algebra?

In summary, the conversation discussed the creation of a 2 x 3 matrix using matrix algebra. The matrix was defined by a_ij = 2i + j, with i and j corresponding to the ith row and jth column. The process of evaluating the function at a specific position in the matrix was compared to evaluating a regular function. The correct matrix was determined by plugging in the appropriate values for i and j.
  • #1
lolimcool
20
0
hey guys, so I am new to linear algebra and is just learning matrix algebra

let A = a_ij be a 2 x 3 matrix, defined by a_ij = 2i + j. Write out A

would it just be
|1 2 3|
|4 5 6|
 
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  • #2
No.
Remember that the i and j in your a_ij correspond to the ith row and the jth column.
 
  • #3
what does that mean?
as in what does the 2i + j do to the function?
 
  • #4
It just like evaluating a regular function such as
f(x) = x^2 + 6x + 4 at x = 2.

So if you want to find the entry in the ith row and jth column then you evaluate
a[tex]_{i,j}[/tex] = 2i + j at the ith row and jth column.
 
  • #5
ok i don't know if I am following you
would it be something like this?
|3 4 5|
|5 6 7|

and if it is i still don't get it :S
 
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  • #6
Thats exactly right!
If you don't get it then how did you get the right answer?
 
  • #7
i think i get, would it be like this
|(2(1) + 1) (2(1) + 2) (2(1) + 3) |
|(2(2) + 1) (2(2) + 2) (2(2) + 3| so basically you plug the i and j value depending which position in the matrix you are in?
 
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  • #8
exactly!
 

FAQ: How to Write Out a 2 x 3 Matrix in Linear Algebra?

What is "Matrix A = a_ij problem"?

The "Matrix A = a_ij problem" refers to a common problem in linear algebra where a given matrix A is defined by its entries aij. This problem often involves finding the determinant, inverse, and other properties of the matrix.

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There are various methods for solving the "Matrix A = a_ij problem" depending on the specific properties and dimensions of the matrix. Some common techniques include using row operations, finding the inverse, and using properties of determinants.

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Solving the "Matrix A = a_ij problem" has many real-world applications, including in computer graphics, engineering, and physics. It can also be used in solving systems of equations and analyzing data in statistics.

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Some tips for solving the "Matrix A = a_ij problem" effectively include practicing with smaller matrices, using shortcuts and techniques for simplifying calculations, and checking your work for errors. It is also helpful to have a strong understanding of the properties and operations involved in solving these types of problems.

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