How to Find a Vector Projection

The concept of vector projections is also known as vector components or vector resolutes. It is one of the fundamental vector operations. One very important application of vector projection is in the orthonormalization of vector space bases, an algorithm created by Gram-Schmidt. There are two basic types of projections when it comes to vectors. These are the scalar projection, which is the magnitude of the vector projection, and the vector projection itself, which represents a unit vector.

Instructions

  1. Vector Projection

    • 1

      Calculate the magnitude of vector v, supposing that you want to find the vector projection of a vector u on the vector v. For example, if u = 2i + j and v = -3i + 4j, the magnitude of v is given by sqrt( (-3)^2 + 4^2) = 5.

    • 2

      Compute the scalar product of the two vectors. This example produces 2 * -3 + 1 * 4 = -2.

    • 3

      Use the formula "projvu = ((u * v) / |v|^2) * v to obtain the projected vector. In the example above, the final value is -2 / 25 * (-3, 4) = (6/25, -8/25) = 6/25i -- 8/25j.

    Scalar Projection

    • 4

      Compute the magnitude of vector v, supposing that you want to find the scalar projection of a vector u on the vector v. Let u = -3i + 5j and v = -7i --j. The magnitude of v will then be sqrt((-7)^2 + (-1)^2) = sqrt(50).

    • 5

      Compute the scalar product of the two vectors. In this case, the result is (-3) * (-7) + 5 * (-1) = 21 -- 5 = 16.

    • 6

      Use the formula "sprojvu = (u * v )/ |v| to compute the scalar projection of vector u over v. This produces 16 / sqrt(50) = 8 * sqrt(2) / 5.

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