How to calculate the cross product of two vectors using Python NumPy?

by | Oct 3, 2023 | Linear Algebra

What is the cross product of two vectors?

Let’s say a and b are two three-dimensional vectors, i.e. both the vectors have 3 components. The cross product of these two vectors is defined as:

\overrightarrow{a} = \begin{bmatrix}  a_1 \\ a_2 \\ a_3  \end{bmatrix} \\  \overrightarrow{b} = \begin{bmatrix}  b_1 \\ b_2 \\ b_3  \end{bmatrix} \\  \vec{c}=\vec{a} \times \vec{b}=\begin{bmatrix}  a_1 \\ a_2 \\ a_3  \end{bmatrix} \times \begin{bmatrix}  b_1 \\ b_2 \\ b_3  \end{bmatrix} \\  =\begin{bmatrix}  a_2b_3-a_3b_2 \\ a_3b_1-a_1b_3 \\ a_1b_2-a_2 b_1  \end{bmatrix}

Here, c is another vector of the same dimension that is perpendicular to both a and b. So, we can also say,

||\vec{c}||=||\vec{a}||||\vec{b}||\sin \theta

Here, Θ is the angle between a and b. And ||a|| and ||b|| are the magnitudes of the vectors a and b, respectively.

How to calculate the cross product of two vectors using Python NumPy?

We can use the following Python code to compute the cross product of two three-dimensional vectors.

import numpy

a = numpy.array([1, 2, 3])
b = numpy.array([4, 5, 6])

c = numpy.cross(a, b)

print("a: \n", a)
print("b: \n", b)
print("The cross product of a and b: \n", c)

Here, a and b are two row vectors with three elements in each. We are using the numpy.cross() function to compute the cross product of a and b.

The output of the mentioned program will be:

a: 
 [1 2 3]
b: 
 [4 5 6]
The cross product of a and b: 
 [-3  6 -3]
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Amrita Mitra

Author

Ms. Amrita Mitra is an author, who has authored the books “Cryptography And Public Key Infrastructure“, “Web Application Vulnerabilities And Prevention“, “A Guide To Cyber Security” and “Phishing: Detection, Analysis And Prevention“. She is also the founder of Asigosec Technologies, the company that owns The Security Buddy.

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