How to find the terminating value of the continued fractions $$ S=3-\cfrac2{3-\cfrac2{3-\cfrac2{\ddots}}} $$ by writing a recurrence relation in Python? (Start from any guess value other than 1.)
-
1Why don't you write the recurrence relation on paper first? – copper.hat Apr 01 '20 at 20:11
-
1$S=3-\dfrac2S\implies S^2-3S+2=0\iff S=1 $ or $2$ – J. W. Tanner Apr 01 '20 at 20:12
-
1Yours is a good question that is receiving close votes. I think that's because you haven't given enough information of the context of your question and what your thoughts about it are. – Rob Arthan Apr 01 '20 at 21:07
3 Answers
Write your equation as $$S=3-\frac{2}S$$ Notice that $S=1$ is a solution, however I think it's unstable. Then just start with any number $S_0$ not equal to $1$. Then repeat $$S_{n}=3-\frac2{S_{n-1}}$$ until $|S_n-S_{n-1}|<\varepsilon$.
Additional: Following the comment from @RobArthan, let's see what's happening if you are close to either of the two solutions $S=1$ or $S=2$.
Let's choose $S_n=1+\alpha$, where $|\alpha|\ll1$. Then $$S_{n+1}-1=3-\frac 2{1+\alpha}-1=\frac{2\alpha}{1+\alpha}\approx2\alpha$$
So starting from any point in the vicinity of $1$ the next iteration will be further away (about a factor of $2$ further than the initial condition).
How about $2$? We repeat the same steps: $S_n=2+\alpha$ $$S_{n+1}-2=3-\frac{2}{2+\alpha}-2=\frac{\alpha}{2+\alpha}\approx\frac\alpha2$$ So starting close to $2$, in the next step you are getting twice as close as before. Therefore $2$ is a stable solution

- 37,370
-
I have numerical evidence supporting your suggestion that the solution at $S = 1$ is unstable. I'd be interested to understand why. – Rob Arthan Apr 01 '20 at 22:03
-
For a suitable function $f$, we can iterate an estimate $S$ to $f(S)$ with a for loop, terminated either when the change in $S$ is small or after a large number of iterations. Fewer iterations are needed if $f$ is Newton-Raphson inspired than if you just use $f(S):=3-2/S$. In particular, $S=3-2/S\implies S^2-3S+2=0$, so you could choose $f(S)=S-\frac{S^2-3S+2}{2S-3}=\frac{S^2-2}{2S-3}$.
Of course, there's no need to iterate anyway, as clearly $S=3-2/S\implies S\in\{1,\,2\}$. Mathematically, there are two interesting questions: which value of $S$ if either is mandated by the definition of $S$ (is it even well-defined?), and which choice of $f$ gives stable convergence to such a value from a wide range of nearby estimates of $S$?
We must define $S$ as the limit of a sequence. The obvious choice is $S_0:=3,\,S_{n+1}:=3-\frac{2}{S_n}$. You can easily prove by induction that $S_n\in(2,\,3]$, so $S=2$; $S\ne1$. However, you'll find an estimate close to either $1$ or $2$ leads to stable behaviour with the above Newton-Raphson choice of iteration. (This can be proven by considering the first few derivatives of $f$.)

- 115,835
We can easily show that your continued fraction is equal to $1$ or $2$. In fact: $$S=3-\dfrac2S\implies S^2-3S+2=0\iff S=1$$
Here I will post a very useful algorithm that I always use when I have to operate with continued fraction:
from decimal import Decimal
from fractions import Fraction
class CFraction(list):
def __init__(self, value, maxterms=15, cutoff=1e-10):
if isinstance(value, (int, float, Decimal)):
value = Decimal(value)
remainder = int(value)
self.append(remainder)
while len(self) < maxterms:
value -= remainder
if value > cutoff:
value = Decimal(1) / value
remainder = int(value)
self.append(remainder)
else:
break
elif isinstance(value, (list, tuple)):
self.extend(value)
else:
raise ValueError("CFraction requires number or list")
def fraction(self, terms=None):
"Convert to a Fraction."
if terms is None or terms >= len(self):
terms = len(self) - 1
frac = Fraction(1, self[terms])
for t in reversed(self[1:terms]):
frac = 1 / (frac + t)
frac += self[0]
return frac
def __float__(self):
return float(self.fraction())
def __str__(self):
return "[%s]" % ", ".join([str(x) for x in self])
if __name__ == "__main__":
from math import e, pi, sqrt
numbers = {
"phi": (1 + sqrt(5)) / 2,
"pi": pi,
"e": e,
}
print "Continued fractions of well-known numbers"
for name, value in numbers.items():
print " %-8s %r" % (name, CFraction(value))
for name, value in numbers.items():
print
print "Approximations to", name
cf = CFraction(value)
for t in xrange(len(cf)):
print " ", cf.fraction(t)
print
print "Some irrational square roots"
for n in 2, 3, 5, 6, 7, 8:
print " ", "sqrt(%d) %r" % (n, CFraction(sqrt(n)))
print
print "Decimals from 0.1 to 0.9"
for n in xrange(1, 10):
cf = CFraction(n / 10.0)
print " ", float(cf), cf
As you can note, it can be used to print the continued fraction for all the square roots, irrational number and also general continued fraction as yours.