Linear Algebra determine the conditions

In summary, the conditions for the matrixa b c dto be row-equivalent to the given matrices are:a) ad - bc = 1b
  • #1
_Bd_
109
0

Homework Statement



determine the conditions on a b c and d such that the matrix
a b
c d
will be row equivalent to the given matrix:
1 0
0 1

and

1 0
0 0

Homework Equations




The Attempt at a Solution



I have no idea what its asking, I mean on no. 1:
a = 1 b = 0 c = 0 and d =1
but what does that mean? I tried taking the resultant

for the first one would be 1(1) - 0(0) = 1

which would be ad - bc = 1 ??
 
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  • #2
_Bd_ said:

Homework Statement



determine the conditions on a b c and d such that the matrix
a b
c d
will be row equivalent to the given matrix:
1 0
0 1

and

1 0
0 0

Homework Equations




The Attempt at a Solution



I have no idea what its asking, I mean on no. 1:
a = 1 b = 0 c = 0 and d =1
but what does that mean? I tried taking the resultant

for the first one would be 1(1) - 0(0) = 1

which would be ad - bc = 1 ??

This looks to me like two separate problems, or one problem with two parts.
Determine the conditions on a b c and d such that the matrix
a b
c d
will be row equivalent to the given matrix:
a)
1 0
0 1

b)
1 0
0 0

By "resultant" I think you mean determinant, and you're on the right track with that approach.
 
  • #3
yes, they are 2 problems, and yes I meant the determinant :P
still if I am on the right approach. . .thats as far as I can go. . .is that the answer?
a)
ad - bc = 1b)
ad - bc = 0
 
Last edited:
  • #4
You should start a new thread for the other problem.

For the original problem, suppose the matrix is
[2 1]
[3 0]

Will it be row-equivalent to the identity matrix or to the other one (the one that has all zeroes except for the upper left entry)?
 
  • #5
Mark44 said:
You should start a new thread for the other problem.

For the original problem, suppose the matrix is
[2 1]
[3 0]

Will it be row-equivalent to the identity matrix or to the other one (the one that has all zeroes except for the upper left entry)?

2(0) - 3(1) = -3 . . .Im guessing no? (its not zero nor 1)
or if you do some opperations
-r1 + r2 =
[1 -1]
[3 0]
and r_3 - 3r1

[1 -1]
[0 3]
divide by 3 on row 2
[1 -1]
[0 1]

add row_1 + row_2
[1 0]
[0 1]
what I don't understand is what
row equivalency is? unless it means that its like "multiples" (or row-operation-wise) of each other?

if so then what you mentioned is row equivalent to a) ??
still how would I write the answer?
 
  • #6
Okay, now do the same that to the matrix given: actually row-reduce the given matrix!

From
[tex]\begin{bmatrix}a & b \\ c & d\end{bmatrix}[/tex]
as long as [itex]a\ne 0[/itex] we can divide the first row by a, then subtract c times the first row from the second to get
[tex]\begin{bmatrix}1 & \frac{b}{a} \\ 0 & d- \frac{bc}{a}\end{bmatrix}[/tex]

If [itex]d- bc/a\ne 0[/itex] (which is the same as saying det= ad- bc= 0), we have the second form. If not, we can divide the second row by that and get the first form.

If a= 0, we can swap the rows, getting
[tex]\begin{bmatrix}c & d \\ a & b\end{bmatrix}[/tex]
Now what?
 

1. What is linear algebra?

Linear algebra is a branch of mathematics that deals with linear equations, vector spaces, and matrices. It is used to solve systems of linear equations and to study geometric transformations.

2. What are the conditions for a system of linear equations to have a unique solution?

A system of linear equations has a unique solution if the number of equations is equal to the number of unknowns, and the determinant of the coefficient matrix is non-zero.

3. How do determinants determine the solvability of a system of linear equations?

The determinant of the coefficient matrix can determine if a system of linear equations has a unique solution, no solution, or infinitely many solutions. If the determinant is non-zero, the system has a unique solution. If the determinant is zero, the system may have either no solution or infinitely many solutions.

4. What is the difference between a square matrix and a non-square matrix in linear algebra?

A square matrix has the same number of rows and columns, while a non-square matrix has a different number of rows and columns. Square matrices are used to represent linear transformations, while non-square matrices are used to represent systems of linear equations.

5. How is linear algebra used in real-world applications?

Linear algebra is used in various fields such as engineering, physics, computer science, and economics. It is used to solve systems of equations, analyze data, and model real-world problems. Some applications include image and signal processing, machine learning, and optimization problems.

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