Newton's method for approximating solutions of functions

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SUMMARY

Newton's method for approximating solutions of functions utilizes the tangent line of a function at a known point to find successive approximations of the root. The equation derived from this method is x = X0 - (f(X0)/f'(X0)), where L(x) = f(X0) + f'(X0)*(X - X0) represents the tangent line. This method requires a starting value close to the actual root and iteratively refines the approximation using the function's derivative. Under specific conditions, Newton's method converges rapidly to the solution.

PREREQUISITES
  • Understanding of calculus concepts, particularly derivatives
  • Familiarity with Taylor series, specifically the first-order approximation
  • Basic knowledge of function behavior and root-finding techniques
  • Ability to manipulate algebraic equations
NEXT STEPS
  • Study the derivation of Newton's method from Taylor series expansions
  • Explore convergence criteria for Newton's method and conditions for rapid convergence
  • Learn about alternative root-finding methods, such as the bisection method and secant method
  • Implement Newton's method in programming languages like Python or MATLAB for practical applications
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Students of calculus, mathematicians, and software developers interested in numerical methods for solving equations.

stratz
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In my calculus textbook, it shows that a function's solution can be approximated using an approximated function tangent to the original function based on an approximated solution, where the equation to find the approximated is L(x) = f(X0) + f'(X0)*(X-X0), where when rearranged, gives x = Xo - (f(X0)/f'(X0)) it doesn't give any reasoning as to why this is the equation. I do understand that the f(X0)/f'(X0) does in some way represent the margin of error of X0, and would (asymptotically) approach this margin of error, but never fully reach it (at least in the cases of the example equations given by the textbook). However, I would like to know how it works and how this equation was derived.

Any help would be appreciated, thanks.
 
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The formula works if you have got a starting value close to the solution. L(x) is Taylor's formula when only the first term is used.
 
stratz said:
In my calculus textbook, it shows that a function's solution can be approximated using an approximated function tangent to the original function based on an approximated solution, where the equation to find the approximated is L(x) = f(X0) + f'(X0)*(X-X0), where when rearranged, gives x = Xo - (f(X0)/f'(X0)) it doesn't give any reasoning as to why this is the equation. I do understand that the f(X0)/f'(X0) does in some way represent the margin of error of X0, and would (asymptotically) approach this margin of error, but never fully reach it (at least in the cases of the example equations given by the textbook). However, I would like to know how it works and how this equation was derived.
It's really not very complicated.

You have a curve y = f(x), with a known point ##(x_0, f(x_0))## on the curve, and you know the slope of the tangent, ##f'(x_0)## at that point. Run a line segment from ##(x_0, f(x_0))## down the tangent line to where it intersects the x-axis. That x value, ##x_1## is your first approximation to the root, the value of x for which f(x) = 0. You should be able to find the equation of this tangent line and work out what ##x_1## would be.

Newton's method continues the process using a new point, ##(x_1, f(x_1))## and known derivative value, ##f'(x_1)## to get another approximation for the root, ##x_2##. Under certain conditions, the method converges pretty rapidly, but in other conditions, it doesn't.

Most calculus books show how this formula is derived.
 

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