I want to equate those differential equations. I know I can solve them easily in the paper but I want to know how to do it in Python:
from sympy import symbols, Eq, solve
P = Function("P")
Q = Symbol('Q')
Q_d = Symbol("Q_d")
Q_s = Symbol("Q_s")
t = Symbol("t")
dy2 = 3 * Derivative(P(t), t,2)
dy1 = Derivative(P(t), t)
eq1 = Eq(dy2 + dy1 - P(t) + 9,Q_d)
display(eq1)
dy2_ = 5 * Derivative(P(t), t,2)
dy1_ = -Derivative(P(t), t)
eq2 = Eq(dy2_ + dy1_ +4* P(t) -1 ,Q_s)
display(eq2)
−𝑃(𝑡) + 𝑑/𝑑𝑡*𝑃(𝑡)+3*𝑑2/𝑑𝑡2 * 𝑃(𝑡) + 9 = 𝑄𝑑 4𝑃(𝑡) − 𝑑/𝑑𝑡*𝑃(𝑡)+5*𝑑2/𝑑𝑡2 * 𝑃(𝑡) −1 = 𝑄𝑠
These are basically "supply and demand" equations the result is basically:
2 * 𝑑2/𝑑𝑡2 * 𝑃(𝑡) = (2 * 𝑑/𝑑𝑡𝑃(𝑡) - 5𝑃(𝑡) +10)
How can I find this result? I know Sympy "Solve" can do such a thing:
solve((eq1,eq2), (x, y))
But in this case, I don't have any knowledge.
I assume you get what you call the result by setting Qs = Qd and subtracting the equations? It can be rewritten as
(2 * 𝑑/𝑑𝑡𝑃(𝑡) - 5𝑃(𝑡) +10) - 2 * 𝑑2/𝑑𝑡2 * 𝑃(𝑡) = 0
which you can obtain in sympy
doing
>>> eq1.lhs - eq2.lhs
-5*P(t) + 2*Derivative(P(t), t) - 2*Derivative(P(t), (t, 2)) + 10
where lhs
returns the left-hand side of the equation.