Why is the Dot Product of Two Perpendicular Vectors Zero?

Understanding the Dot Product of Perpendicular Vectors

The dot product of two vectors is defined as the product of the magnitudes of the vectors and the cosine of the angle between them. This relationship can be mathematically represented as:

( u cdot v |u| |v| cos(theta) )

Here, |u| and |v| represent the magnitudes (lengths) of vectors u and v, respectively, and (theta) is the angle between them. When vectors are perpendicular, (theta 90°), and (cos(90°) 0). As a result, the dot product of two perpendicular vectors is always zero.

Why the Dot Product of Perpendicular Vectors is Zero

To fully understand why the dot product of two perpendicular vectors is zero, let's break down the formula and analyze the components.

1. Formula for Dot Product

The dot product of two vectors u and v is given by:

( u cdot v u_1v_1 u_2v_2 ldots u_nv_n )

For two-dimensional vectors, u (u_1, u_2) and v (v_1, v_2), this simplifies to:

( u cdot v u_1v_1 u_2v_2 )

For three-dimensional vectors, u (u_1, u_2, u_3) and v (v_1, v_2, v_3), the dot product is:

( u cdot v u_1v_1 u_2v_2 u_3v_3 )

2. Analysis of Perpendicular Vectors

When two vectors are perpendicular, the angle between them is 90°. According to the definition, the dot product is:

( u cdot v |u| |v| cos(90°) )

Since (cos(90°) 0), we have:

( u cdot v |u| |v| cdot 0 0 )

3. Why Not Parallel?

It's important to note that if the vectors are parallel, the angle between them is 0° or 180°, and (cos(0°) 1) and (cos(180°) -1). In these cases, the dot product is not zero unless one of the vectors is the zero vector. The dot product of two parallel vectors is:

( u cdot v |u| |v| cos(theta) )

where (theta) is the angle between u and v.

Conclusion

The dot product of two perpendicular vectors is zero due to the cosine of the angle between them being zero. This concept is crucial in various fields such as physics, engineering, and computer graphics. Understanding this relationship can help in solving problems related to vector operations and projections.

Related Keywords and Questions

Keyword1: dot product
Keyword2: perpendicular vectors
Keyword3: cosine of angle