# Euler Method Instability. Why?

I am currently enjoying writing computational codes as a hobby. Right now I've worked out an Euler method and results are pretty good with up to $$x=1$$. Over $$x=1$$, instability starts to kick in. May I know why is this so? The equations are as below: $$df=-\frac{x^2}{y},\quad y(0)=1$$

#Euler Method
import numpy as np
import matplotlib.pyplot as plt
#Specify Step Size:
h=float(input("Size of h:"))
#Key in X value you want to obtain y(x1):
x1=float(input("input X to get Y:"))
#Number of steps:
n=int((x1)/h)+1
#Creation of array table
A=np.zeros((n,3))
A=[1,0,1]
for i in range(1,n):
#Evaluating values of y:
A[i,0]=i+1
df=-(A[i-1,1]**2)/A[i-1,2]
A[i,2]=A[i-1,2]+h*df
A[i,1]=A[i-1,1]+h
print(A)
plt.plot(A[:,1], A[:,2], label='Approximation')
plt.show()   If we take your ODE, $$\frac{dy}{dx}=-\frac{x^2}{y},$$ multiply both sides by $$y$$ and integrate up, we see that the solutions look like $$y^2 = C-\frac{2}{3} x^3.$$ Taking your initial condition, your real trajectory is then $$y = \sqrt{1- \frac{2}{3} x}.$$ This is only real valued for the domain $$-\infty < x<=1.5$$, so it's no real surprise that you're seeing odd behaviour out past $$x=1$$, since your $$y$$ value is getting small and your derivative is getting singular (i.e. heading towards infinity). In practise, the forward Euler method overshoots, so that you cross the cut line at $$y=0$$ between the $$y$$-positive and $$y$$-negative solutions, hence the oscillations.