I am studying Computational Physics with a lecturer who always ask me to write Python and Matlab code without using instant code (a library that gives me final answer without showing mathematical expression). So I try to write Bessel function for first kind using power series because I thought it was easy compare to other method (I am not sure). I dont know why the result is still very different? Far from answer that Sympy.special
provided?
Here is my code for x = 5 and n = 3
import math
def bessel_function(n, x, num_terms):
# Initialize the power series expansion with the first term
series_sum = (x / 2) ** n
# Calculate the remaining terms of the power series expansion
for k in range(0, num_terms):
term = ((-1) ** k) * ((x / 2) ** (2 * k)) / (math.factorial(k)**2)*(2**2*k)
series_sum = series_sum + term
return series_sum
# Test the function with n = 3, x = 5, and num_terms = 10
print(bessel_function(3, 5, 30))
print(bessel_function(3, 5, 15))
And here is the code using sympy library:
from mpmath import *
mp.dps = 15; mp.pretty = True
print(besselj(3, 5))
import sympy
def bessel_function(n, x):
# Use the besselj function from sympy to calculate the Bessel function
return sympy.besselj(n, x)
# Calculate the numerical value of the Bessel function using evalf
numerical_value = bessel_function(3, 5).evalf()
print(numerical_value)
It is a big waste to compute the terms like you do, each from scratch with power and factorial. Much more efficient to compute a term from the previous.
For Jn
,
Tk / Tk-1 = - (X/2)²/(k(k+N))
with T0 = (X/2)^N/N!
.
N= 3
X= 5
# First term
X*= 0.5
Term= pow(X, N) / math.factorial(N)
Sum= Term
print(Sum)
# Next terms
X*= -X
for k in range(1, 21):
Term*= X / (k * (k + N))
Sum+= Term
print(Sum)
The successive sums are
2.6041666666666665
-1.4648437499999996
1.0782877604166665
0.19525598596643523
0.39236129276336185
0.3615635885763421
0.365128137672062
0.3648098743599441
0.3648324782883616
0.36483117019065225
0.3648312330799652
0.36483123052763916
0.3648312306162616
0.3648312306135987
0.3648312306136686
0.364831230613667
0.36483123061366707
0.36483123061366707
0.36483123061366707
0.36483123061366707
0.36483123061366707