Cramer's Rule Original Problem

In summary, to determine the constants A, B, C, D, and E for the given curve that passes through five points, a system can be created by substituting the known x and y values into the equation. This will result in a 5x6 augmented matrix that can be solved using row reduction or Cramer's rule. The fact that the variables are not linear does not affect the solution.
  • #1
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Homework Statement



Let the curve

A + By + Cx + Dy^2 + Exy + x^2 = 0

be given. It passes through the points (x_1, y_1),...,(x_5, y_5). Determine the A, B, C, D, and E.

Homework Equations





The Attempt at a Solution



To create the system, I plug in each x_n and y_n into the given curve equation...

[1, y_1, x_1, (y_1)^2, (x_1)(y_1), (x_1)^2]
[1, y_2, x_2, (y_2)^2, (x_2)(y_2), (x_2)^2]
[1, y_3, x_3, (y_3)^2, (x_3)(y_3), (x_3)^2]
[1, y_4, x_4, (y_4)^2, (x_4)(y_4), (x_4)^2]
[1, y_5, x_5, (y_5)^2, (x_5)(y_5), (x_5)^2]

But, what do I do from here? Replace a row with vector b (all 0's in this case) and solve x = determinant of new matrix/determinant of original matrix. Then repeat for each row? Does the fact that there are x^2 and y^2 in the matrix matter at all or not?
 
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  • #2
It doesn't matter that the variables x, y, x^2, y^2, and xy aren't linear. You're solving for the constants A, B, C, D, and E, and your equations are linear in these constants.

When you substitute the known x and y values into the equation, your first equation will be:
A + y_1*B + x_1*C + (y_1)^2 * D + (x_1)(y_1)*E = -(x_1)^2

All five equations will look like this but will involve the other four pairs of x and y values.

Your matrix will be a 5 row by 6 column augmented matrix that you can solve either by row reduction or by the use of Cramer's rule.
 
  • #3
Mark44 said:
It doesn't matter that the variables x, y, x^2, y^2, and xy aren't linear. You're solving for the constants A, B, C, D, and E, and your equations are linear in these constants.

When you substitute the known x and y values into the equation, your first equation will be:
A + y_1*B + x_1*C + (y_1)^2 * D + (x_1)(y_1)*E = -(x_1)^2

All five equations will look like this but will involve the other four pairs of x and y values.

Your matrix will be a 5 row by 6 column augmented matrix that you can solve either by row reduction or by the use of Cramer's rule.

Thank you!
 

FAQ: Cramer's Rule Original Problem

1. What is Cramer's Rule Original Problem?

Cramer's Rule Original Problem is a mathematical method for solving systems of linear equations by using determinants. It was developed by Swiss mathematician Gabriel Cramer in the 18th century.

2. How is Cramer's Rule Original Problem different from other methods of solving linear equations?

Cramer's Rule Original Problem is unique in that it uses determinants to solve systems of equations, while other methods such as substitution and elimination rely on manipulation of the equations themselves.

3. When is Cramer's Rule Original Problem most useful?

Cramer's Rule Original Problem is most useful when solving systems of equations with the same number of variables and equations. It is also useful when a quick and efficient solution is needed.

4. What are the limitations of Cramer's Rule Original Problem?

Cramer's Rule Original Problem can only be used for systems of equations with the same number of variables and equations, and it can only be used for systems with unique solutions. It also becomes increasingly complex and time-consuming for larger systems.

5. How accurate is Cramer's Rule Original Problem?

Cramer's Rule Original Problem is highly accurate, as it uses exact values for the determinants in its calculations. However, rounding errors and limitations in the computer or calculator used can affect the final result.

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