How Can Newton's Method Be Modified for Polynomial Congruences?

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The discussion focuses on modifying Newton's Method to solve polynomial congruences of the form f(x) = 0 mod(p). It introduces a linear interpolation approach where the next approximation x_{n+1} is derived from the current approximation x_n and the function's derivative. The key equation presented is f(x_{n}) + f'(x_{n})(x_{n+1} - x_{n}) = 0 mod(p), which aims to iteratively refine solutions. The effectiveness of this modified method for general polynomial congruences is questioned, specifically regarding its convergence and reliability. Overall, the modified Newton method seeks to provide a systematic way to approximate roots of polynomial congruences.
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Let be the congruence equation with f(x) a Polynomial of grade k then:

f(x)=0mod(p)

then if we have as a first approximation f(x_{n+1})=0mod(p)

then using a linear interpolation: f(x_{n})+f'(x_{n})(x_{n+1}-x_{n})=0mod(p) or x_{n+1}=(x_{n}+\frac{f(x_{n}}{f'(x_{n})})0mod(p/f'(x_{n})

So we have 'modified' Newton method for solving Polynomial congruences. :Bigrin:
 
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I think in this case the mai question is if the linear interpolation solution

f(x_{n})+f'(x_{n})(x_{n+1}-x_{n})=0mod(p) (1)

will work to solve the general congruence f(x)=0mod(p) for f(x) a POlynomial solving it by iterations using Newton method, where from (1) form an initial ansatz x_n we can get the next approximate value x_{n+1}
 
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