Cross Product Of Two Vectors In Python

How can I calculate the cross product of two vectors without the use of programming libraries? E.g given vectors a = (1, 2, 3) and b = (4, 5, 6)

Solution 1:

are you asking about the formula for the cross product? Or how to do indexing and lists in python?

The basic idea is that you access the elements of a and b as a[0], a[1], a[2], etc. (for x, y, z) and that you create a new list with [element_0, element_1, ...]. We can also wrap it in a function.

On the vector side, the cross product is the antisymmetric product of the elements, which also has a nice geometrical interpretation.

Anyway, it would be better to give you hints and let you figure it out, but that's not really the SO way, so...

def cross(a, b):
    c = [a[1]*b[2] - a[2]*b[1],
         a[2]*b[0] - a[0]*b[2],
         a[0]*b[1] - a[1]*b[0]]

    return c

Solution 2:

import numpy as np
a = np.array([1,0,0])  
b = np.array([0,1,0])  
#print the result    print(np.cross(a,b))

Solution 3:

If you want to implement the cross product yourself you may see http://en.wikipedia.org/wiki/Vector_cross_product or a math/physics book. Shortly (a1, a2, a3) X (b1, b2, b3) = (a2*b3-a3*b2, a3*b1-a1*b3, a1*b2-a2*b1)

Solution 4:

for multiple dimensions, this might work;

defcrossProd(a,b):
      dimension = len(a)
      c = []
      for i inrange(dimension):
        c.append(0)
        for j inrange(dimension):
          if j <> i:
            for k inrange(dimension):
              if k <> i:
                if k > j:
                  c[i] += a[j]*b[k]
                elif k < j:
                  c[i] -= a[j]*b[k]
      return c

Solution 5:

I did it like this:

def cross_product(u,v):  
    dim = len(u)
    s = []
    for i in range(dim):
        if i == 0:
            j,k = 1,2
            s.append(u[j]*v[k] - u[k]*v[j])
        elif i == 1:
            j,k = 2,0
            s.append(u[j]*v[k] - u[k]*v[j])
        else:
            j,k = 0,1
            s.append(u[j]*v[k] - u[k]*v[j])
    return s