As part of a program I'm writing, I need to solve a cubic equation exactly (rather than using a numerical root finder):
a*x**3 + b*x**2 + c*x + d = 0.
I'm trying to use the equations from here. However, consider the following code (this is Python but it's pretty generic code):
a = 1.0
b = 0.0
c = 0.2 - 1.0
d = -0.7 * 0.2
q = (3*a*c - b**2) / (9 * a**2)
r = (9*a*b*c - 27*a**2*d - 2*b**3) / (54*a**3)
print "q = ",q
print "r = ",r
delta = q**3 + r**2
print "delta = ",delta
# here delta is less than zero so we use the second set of equations from the article:
rho = (-q**3)**0.5
# For x1 the imaginary part is unimportant since it cancels out
s_real = rho**(1./3.)
t_real = rho**(1./3.)
print "s [real] = ",s_real
print "t [real] = ",t_real
x1 = s_real + t_real - b / (3. * a)
print "x1 = ", x1
print "should be zero: ",a*x1**3+b*x1**2+c*x1+d
But the output is:
q = -0.266666666667
r = 0.07
delta = -0.014062962963
s [real] = 0.516397779494
t [real] = 0.516397779494
x1 = 1.03279555899
should be zero: 0.135412149064
so the output is not zero, and so x1 isn't actually a solution. Is there a mistake in the Wikipedia article?
ps: I know that numpy.roots will solve this kind of equation but I need to do this for millions of equations and so I need to implement this to work on arrays of coefficients.
I've looked at the Wikipedia article and your program.
I also solved the equation using Wolfram Alpha and the results there don't match what you get.
I'd just go through your program at each step, use a lot of print statements, and get each intermediate result. Then go through with a calculator and do it yourself.
I can't find what's happening, but where your hand calculations and the program diverge is a good place to look.
Wikipedia's notation (rho^(1/3), theta/3)
does not mean that rho^(1/3)
is the real part and theta/3
is the imaginary part. Rather, this is in polar coordinates. Thus, if you want the real part, you would take rho^(1/3) * cos(theta/3)
.
I made these changes to your code and it worked for me:
theta = arccos(r/rho)
s_real = rho**(1./3.) * cos( theta/3)
t_real = rho**(1./3.) * cos(-theta/3)
(Of course, s_real = t_real
here because cos
is even.)
from cmath import *
solutions = set()
def cbrt(polynomial):
solution = set()
root1 = polynomial ** (1 / 3)
root2 = (polynomial ** (1 / 3)) * (-1 / 2 + (sqrt(3) * 1j) / 2)
root3 = (polynomial ** (1 / 3)) * (-1 / 2 - (sqrt(3) * 1j) / 2)
solution.update({root1, root2, root3})
return solution
def cardano(a, b, c, d):
p = (3 * a * c - b ** 2) / (3 * a ** 2)
q = (2 * b ** 3 - 9 * a * b * c + 27 * a ** 2 * d) / (27 * a ** 3)
alpha = cbrt(-q / 2 + sqrt((q / 2) ** 2 + (p / 3) ** 3))
beta = cbrt(-q / 2 - sqrt((q / 2) ** 2 + (p / 3) ** 3))
for i in alpha:
for j in beta:
if abs((i * j) + p / 3) <= 0.00001:
x = i + j - b / (3 * a)
solutions.add(x)
def quadratic(a, b, c):
D = b ** 2 - 4 * a * c
x1 = (-b + sqrt(D)) / 2 * a
x2 = (-b - sqrt(D)) / 2 * a
solutions.update({x1, x2})
def linear(a, b):
if a == 0 and b == 0:
solutions.add("True")
if a == 0 and b != 0:
solutions.add("False")
if a != 0:
solutions.add(-b / a)
print('ax^3+bx^2+cx+d=0')
a, b, c, d = map(complex, input().split())
if a != 0:
cardano(a, b, c, d)
elif b != 0:
quadratic(b, c, d)
else:
linear(c, d)
print(solutions)
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