prove that newton-raphson method has second order convergence.
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Convergence of Newton-Raphson method:
Suppose  is a root of  and  is an estimate of  s.t. . Then by Taylor series expansion we have,

for some  between  and .
By Newton-Raphson method, we know that

i.e.

Using(2*) in (1*) we get

Say 
where  denote the error in the solution at n and (n+1) iterations.


 Newton Raphson Method is said to have quadratic convergence.
Note:
Alternatively, one can also prove the quadratic convergence of Newton-Raphson method based on the fixed - point theory. It is worth stating few comments on this approach as it is a more general approach covering most of the iteration schemes discussed earlier.
A Brief discussion on Fixed Point Iteration:
Suppose that we are given a function
on an interval  for which we need to find a root. Derive , from it, an equation of the form:

Any solution to (ii) is called a fixed point and it is a solution of (i). The function g(x) is called as "Iteration function".
Example:
Given , one may re-write it as:

or , 
or , 
where g(x) denotes possible choice iteration function.
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Suppose  is a root of  and  is an estimate of  s.t. . Then by Taylor series expansion we have,

for some  between  and .
By Newton-Raphson method, we know that

i.e.

Using(2*) in (1*) we get

Say 
where  denote the error in the solution at n and (n+1) iterations.


 Newton Raphson Method is said to have quadratic convergence.
Note:
Alternatively, one can also prove the quadratic convergence of Newton-Raphson method based on the fixed - point theory. It is worth stating few comments on this approach as it is a more general approach covering most of the iteration schemes discussed earlier.
A Brief discussion on Fixed Point Iteration:
Suppose that we are given a function
on an interval  for which we need to find a root. Derive , from it, an equation of the form:

Any solution to (ii) is called a fixed point and it is a solution of (i). The function g(x) is called as "Iteration function".
Example:
Given , one may re-write it as:

or , 
or , 
where g(x) denotes possible choice iteration function.
mark as brainliest...
follow me...
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