Solving Nonlinear Integral Equation with Newton Method

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SUMMARY

The discussion focuses on solving a nonlinear integral equation of the form y(s) + ∫₀ˣ K(x,s,y(s)) ds = f(x) using the Newton method. The user attempts to discretize the equation and apply the trapezoidal scheme, leading to the equation y_i = f(x_i) - (h/2)K(x_i,x_0,y_0) + h∑_{j=1}^{i-1} K(x_i,x_j,y_j) + (h/2)K(x_i,x_i,y_i). The challenge lies in determining the weights w_j for the quadrature rule and resolving y_i, which is dependent on itself in the equation.

PREREQUISITES
  • Understanding of nonlinear integral equations
  • Familiarity with the Newton method for numerical solutions
  • Knowledge of numerical integration techniques, specifically the trapezoidal rule
  • Experience with discretization methods in numerical analysis
NEXT STEPS
  • Research the application of the Newton-Raphson method for nonlinear equations
  • Learn about quadrature rules and how to derive weights for numerical integration
  • Explore advanced numerical methods for solving integral equations
  • Investigate iterative methods for resolving self-referential equations in numerical analysis
USEFUL FOR

Mathematicians, numerical analysts, and students tackling nonlinear integral equations, particularly those interested in numerical methods and their applications in solving complex mathematical problems.

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Homework Statement



If I have a non linear integral equation of the form:

[tex]y(s)+\int^x_0{K(x,s,y(s)}ds=f(x)[/tex]

and i want to find a way to solve this numerically using the Newton method

Homework Equations





The Attempt at a Solution



after discretizing, and using the quadrature rule, i have:

[tex]y(s_i)+\sum^i_{j=0}{w_j K(x_i,s_j,y(s_j)}ds=f(x_i)[/tex]

but i am struggling on knowing what the weights wj should be using the Newton procedure.

Thank you in advance.
 
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sorry, it should be
[tex]y_i+\sum^i_{j=0}{w_j K(x_i,x_j,y_j)}=f(x_i)[/tex]
where y_i means y(x_i)
I can use the trapezoidal scheme and then i have:
[tex]y_i=f(x_i)-\frac{h}{2}(K(x_i,x_0,y_0))+h\sum^{i-1}_{j=1}{K(x_i,x_j,y_j)}+\frac{h}{2}K(x_i,x_i,y_i)[/tex]

but how can this be solved when i need to know y_i to get y_i since y_i is in the last term of the right hand side?
since i can't make y_i as the subject.
 

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