Solving nonlinear equations using matrix

In summary, the conversation discusses solving six nonlinear equations with six unknown variables using matrix form and proving it to be singular. The known variables are denoted as Tp1a_d, Tp2a_d, Tp1b_d, Tp2c_d, Tp3b_d, Tp3c_d and the unknown variables are Tp1, Tp2, Tp3, a, b, c. The use of differential equations or matrix methods is questioned, but it is suggested to use letters as variables instead. Finally, a method for solving the system of equations is proposed by eliminating variables.
  • #1
sameera
2
0
1. To solve for six unknown variables using six nonlinear equations using matrix form and to prooce it as singular.
Tp1a_d,Tp2a_d,Tp1b_d,Tp2c_d, Tp3b_d,Tp3c_d are known variables
Tp1,Tp2,Tp3, a,b,c are unknown variables.


2. Tp1a_d =Tp1+a*Tp1
Tp1b_d=Tp1+b*Tp1
Tp2a_d=Tp2+a*Tp2
Tp2c_d=Tp2+c*Tp2
Tp3b_d=Tp3+b*Tp3
Tp3c_d=Tp3+c*Tp3


3. can I use differential equations to solve these equations?
But I need to prove that the known variables are dependent on each other by using matrx method.
 
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  • #2
That notation is just hideous. Instead I am going to use letters from the beginning of the alphabet (a,b,c,d,e,f) as the known quantities and letters from the end of the alphabet (u,v,w,x,y,z) as the unknowns. Then your system of equations becomes:

a=u+ux
c=u+uy
b=v+vx
d=v+vz
e=w+wy
f=w+wz

I don't see why you would need to use differential equations or matrix methods. You can eliminate u among the first pair of equations, eliminate v among the second pair, and eliminate w among the third. That will give you 3 equations relating x, y, and z. Use those equations to eliminate 2 variables and solve for the third, and you should be home free.
 
  • #3


Yes, it is possible to solve these nonlinear equations using matrix methods. To do so, you would first need to rewrite the equations in matrix form. This can be done by setting up a matrix with the coefficients of the unknown variables on one side and the known variables on the other side. For example, the first equation can be written as:

[Tp1] = [1+a] * [Tp1a_d]

Similarly, the second equation can be written as:

[Tp1] = [1+b] * [Tp1b_d]

This can be done for all six equations, resulting in a system of equations in matrix form:

[Tp1] = [1+a 0 0 0 0 0] * [Tp1a_d]
[Tp1] = [1+b 0 0 0 0 0] * [Tp1b_d]
[Tp2] = [0 1+a 0 0 0 0] * [Tp2a_d]
[Tp2] = [0 0 0 1+c 0 0] * [Tp2c_d]
[Tp3] = [0 0 1+b 0 0 0] * [Tp3b_d]
[Tp3] = [0 0 0 0 1+c 0] * [Tp3c_d]

To solve this system of equations, you can use methods such as Gaussian elimination or matrix inversion. However, it is important to note that this system of equations may not have a unique solution and could be singular, meaning that the equations are dependent on each other and do not have a unique solution.

As for using differential equations to solve these equations, it may not be necessary as the equations can be solved using matrix methods. However, if you still want to use differential equations, you can set up a system of differential equations based on the given equations and solve them using numerical methods such as Euler's method or Runge-Kutta methods. But again, the resulting solutions may not be unique and could be dependent on each other.

In order to prove that the known variables are dependent on each other, you can use matrix methods to find the determinant of the coefficient matrix. If the determinant is equal to zero, then the system of equations is singular and the known variables are dependent on each other. Otherwise, if the determinant is non-zero, then the system of equations has
 

Related to Solving nonlinear equations using matrix

1. What are nonlinear equations?

Nonlinear equations are mathematical equations that involve variables raised to a power, such as x^2 or x^3, or contain trigonometric functions, logarithms, or other mathematical operations. Unlike linear equations, which have a constant rate of change, nonlinear equations have a varying rate of change and may have multiple solutions.

2. How are matrices used to solve nonlinear equations?

Matrices are used to represent and solve systems of equations, including nonlinear equations. Each variable in the equations is represented by a column vector in the matrix, and the coefficients of each variable are placed in the corresponding row. The matrix can then be manipulated using various methods, such as Gaussian elimination, to solve for the variables and find the solutions to the equations.

3. What is the Gauss-Newton method for solving nonlinear equations?

The Gauss-Newton method is an iterative algorithm used to solve systems of nonlinear equations. It involves approximating the nonlinear equations with linear equations and then using the least squares method to find the best fit solution. This process is repeated until the desired accuracy is achieved. It is commonly used in regression analysis and optimization problems.

4. Can all nonlinear equations be solved using matrices?

No, not all nonlinear equations can be solved using matrices. Some equations may be too complex or have multiple solutions that cannot be accurately represented by a matrix. In these cases, other methods such as numerical techniques or symbolic manipulation may be used to find solutions.

5. Are there any limitations to solving nonlinear equations using matrices?

One limitation of using matrices to solve nonlinear equations is that the system of equations must be well-defined and have a unique solution. If the system is underdetermined (more variables than equations) or overdetermined (more equations than variables), then a matrix representation may not be possible. Additionally, the method may be computationally intensive for large systems and may not be suitable for real-time applications.

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