A powerful tool for numerically finding the roots of an equation g(x)=0 is Newton's
method. Newton's method says to construct a map x_(n+1)=f(x_(n)), where
f(x_(n))=x_(n)-(g(x_(n)))/(g^(')(x_(n))).
(a) A simple root of the function g(x) is defined as a value x for which g(x)=0
and g^(')(x)!=0. Show that the simple roots of g(x) are fixed points of the
Newton map.
Note: if you are not used to writing proofs, you may fall into a
common trap here. Our goal is to show that a simple root of g(x) is
a fixed point. That means you start with the assumption that you
have a simple root of g(x) and then work to show that it is a fixed
point. Do not start with fixed points of the Newton map and show
that they are simple roots, that is not the correct direction.
(b) Show that these fixed points are superstable, which means that the linear
stability analysis shows zero growth for perturbations (f^(')(x^(**))=0).
Note: see note above. Start with fixed point, then show that they
are superstable.
1. A powerful tool for numerically finding the roots of an equation g() = 0 is Newton's
method. Newton's method says to construct a map n+1 = f(n), where
g(xn) f(xn)=In g'(xn)
a A simple root of the function g is defined as a value x for which g) =0
and g'() 0. Show that the simple roots of g() are fixed points of the
Newton map.
Note: if you are not used to writing proofs, you may fall into a
common trap here. Our goal is to show that a simple root of g( is
a fixed point. That means you start with the assumption that you
have a simple root of g(c and then work to show that it is a fixed
point. Do not start with fixed points of the Newton map and show
that they are simple roots, that is not the correct direction.
b) Show that these fixed points are superstable, which means that the linear
stability analysis shows zero growth for perturbations (f'(x*) = 0).
Note: see note above. Start with fixed point, then show that they
are superstable.