CODEWITHSUNDEEP
pythonmatplotlibscipysympyminimize
David s.
David s.

Reputation: 13

how to find solution values of an inequality equation with radical expressions

I want to plot solutions of an inequality by matplotlib so I need solution values in sth like an array. the inequality is F1(γ)>=0 for γ>1.11. To do so first I create F1 function by sympy and then transform it by lambdify. my code is:

import sympy
from sympy import *
r, γ, W, c= symbols('r γ W c', positive=True, real=True)
D = 2*γ-c-sqrt((2*γ-c)**2-4*γ*(1+r)*(1-W))
EU_e = γ-D+D**2/(4*γ)
F = EU_e - (1+r)*W
F1 = F.subs([(W, 0.003), (c, 0.2), (r, 0.11)])

now F1 is a symbolic function of γ: click here

then I lambdify F1 and find the the nearest value of γ that applies to equality equation F1(γ)=0 for γ>1.11.

from scipy.optimize import minimize
import numpy as np

ff=lambdify(γ, F1)
bounds = ((1.11, None),)
x0 = np.array([1.3])
res = minimize(lambda x: np.linalg.norm(ff(x)), x0=x0, bounds=bounds)

It works for many values of parametres W,c,r but doesn`t work for some such as (W=0.003), (c= 0.2), (r= 0.11) i.e. I encounter the following error: click here and res is: click here

Does anyone know how to find solution values of γ (or the nearest values) of the inequality equation?

I drawed solutions area by desmos.com. I`d like to plot sth like this by matplotlib: click here

Thank you

Upvotes: 1

Views: 189

Answers (1)

Davide_sd
Davide_sd

Reputation: 13170

It works for many values of parametres W,c,r but doesnt work for some such as (W=0.003), (c= 0.2), (r= 0.11)` i.e. I encounter the following error...

The problem is that your function is not defined for every combination of the parameters. In fact, the function F:

enter image description here

is defined only when the radicand is >= 0. If all your parameters are positive, then you can see that when 0 <= W < 1, the function might not defined.

As far as I know, minimization strategies require the function to be defined and continuous over a specified range. But your function clearly is not defined.

I drawed solutions area by desmos.com. I`d like to plot sth like this by matplotlib

SymPy exposes the plot_implicit function, which is useful to plot inequalities:

from sympy.plotting import plot_implicit
# NOTE: adaptive=False because it appears to produce more "correct" results
plot_implicit(F.subs({c: 0.2, r: 0.11}) >= 0, (W, 0, 1), (γ, 1.1, 1.35), adaptive=False)

enter image description here

Upvotes: 1

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