How to detect redundant equation from a system of nonlinear equation?

In summary, the discussion was about detecting redundant equations in a system of nonlinear equations. It was mentioned that there is no general method for identifying these equations, but using the Jacobian matrix can help in some cases. However, the Jacobian must be zero throughout an open set in order to determine functional dependence. For dealing with single points, algebraic geometry may be a useful tool.
  • #1
gohkgohkgohk
2
0
How to detect redundant equation from a system of nonlinear equation?
It means how to find out a system of nonlinear equation is "linear independence"?
One equation from the system can not be represented by the others in the system of nonlinear equation.
 
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  • #2
Welcome gohkgohkgohk .
I'm afraid there's no general method of spotting a redundant equation from a set. The Jacobian helps a liitle if you have differentiable non-linear equations.
 
  • #3
Hi Eynstone, could you share more details on how to determine the redundant equation using Jacobian? My suspection is even its Jacobian matrix has redundant rows, the non-linear equation system may not have redundant equations.
 
  • #4
I checked the section on functional dependence from Gerald Folland's Advanced Calculus.

There it says, if you consider on open set U, then

Jacobian is zero throughout U if and only if the functions have some (possibly various) functional dependence(s) throughout U.

So it's not enough for the Jacobian to vanish at a single point, calculus needs an open set to draw conclusions. To deal with single points, I think is part of the practicality of the subject algebraic geometry, which more or less deals with systems of polynomials, as far as I know, but looks like a very abstract subject.
 
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  • #5
To detect redundant equations in a system of nonlinear equations, one can use the concept of linear independence. This means that the equations in the system are not multiples of each other and are not dependent on each other to find a solution. One way to determine this is by using row reduction techniques such as Gaussian elimination or LU decomposition. If the equations reduce to a lower triangular or diagonal form, it indicates that there are redundant equations in the system. Another method is to calculate the determinant of the coefficient matrix. If the determinant is equal to zero, it means that the equations are linearly dependent and there are redundant equations. Additionally, one can also use software tools such as MATLAB or Mathematica to solve the system and determine if there are any redundant equations. Overall, detecting redundant equations in a system of nonlinear equations is crucial for simplifying the system and finding the most efficient solution.
 

Related to How to detect redundant equation from a system of nonlinear equation?

1. How do I determine if an equation is redundant in a system of nonlinear equations?

The best way to determine if an equation is redundant in a system of nonlinear equations is to use the method of elimination. This involves solving the system of equations using various techniques, such as substitution or elimination, and checking if any equation can be derived from the others. If an equation can be expressed as a combination of the other equations, then it is redundant and can be eliminated.

2. Can software be used to detect redundant equations in a system of nonlinear equations?

Yes, there are many software programs available that can help detect redundant equations in a system of nonlinear equations. These programs use advanced algorithms and techniques to analyze the equations and identify any redundancies. However, it is always recommended to manually check the results to ensure their accuracy.

3. Is it possible for a system of nonlinear equations to have no redundant equations?

Yes, it is possible for a system of nonlinear equations to have no redundant equations. This means that all the equations in the system are necessary and cannot be derived from each other. In such cases, it is important to solve the entire system to obtain a unique solution.

4. Are there any specific techniques for detecting redundant equations in a system of nonlinear equations?

There are several techniques that can be used to detect redundant equations in a system of nonlinear equations. Some of the commonly used methods include Gaussian elimination, Cramer's rule, and LU decomposition. Each of these techniques has its own advantages and limitations, and the choice of method may depend on the complexity and size of the system.

5. Can redundant equations affect the accuracy of a solution in a system of nonlinear equations?

Yes, redundant equations can affect the accuracy of a solution in a system of nonlinear equations. This is because these equations can introduce errors or inconsistencies in the solution, leading to incorrect results. Therefore, it is important to properly identify and eliminate redundant equations to obtain an accurate solution.

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