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Scalar projection

Mathematics visualization


Mathematics visualization

In mathematics, the scalar projection of a vector \mathbf{a} on (or onto) a vector \mathbf{b}, also known as the scalar resolute of \mathbf{a} in the direction of \mathbf{b}, is given by:

:s = \left|\mathbf{a}\right|\cos\theta = \mathbf{a}\cdot\mathbf{\hat b},

where the operator \cdot denotes a dot product, \hat{\mathbf{b}} is the unit vector in the direction of \mathbf{b}, \left|\mathbf{a}\right| is the length of \mathbf{a}, and \theta is the angle between \mathbf{a} and \mathbf{b}.

The term scalar component refers sometimes to scalar projection, as, in Cartesian coordinates, the components of a vector are the scalar projections in the directions of the coordinate axes.

The scalar projection is a scalar, equal to the length of the orthogonal projection of \mathbf{a} on \mathbf{b}, with a negative sign if the projection has an opposite direction with respect to \mathbf{b}.

Multiplying the scalar projection of \mathbf{a} on \mathbf{b} by \mathbf{\hat b} converts it into the above-mentioned orthogonal projection, also called vector projection of \mathbf{a} on \mathbf{b}.

Definition based on angle ''θ''

If the angle \theta between \mathbf{a} and \mathbf{b} is known, the scalar projection of \mathbf{a} on \mathbf{b} can be computed using

:s = \left|\mathbf{a}\right| \cos \theta . (s = \left|\mathbf{a}_1\right| in the figure)

The formula above can be inverted to obtain the angle, θ.

Definition in terms of a and b

When \theta is not known, the cosine of \theta can be computed in terms of \mathbf{a} and \mathbf{b}, by the following property of the dot product \mathbf{a} \cdot \mathbf{b}: : \frac {\mathbf{a} \cdot \mathbf{b}} {\left|\mathbf{a}\right| \left|\mathbf{b}\right|} = \cos \theta

By this property, the definition of the scalar projection s becomes: : s = \left|\mathbf{a}_1\right| = \left|\mathbf{a}\right| \cos \theta = \left|\mathbf{a}\right| \frac {\mathbf{a} \cdot \mathbf{b}} {\left|\mathbf{a}\right| \left|\mathbf{b}\right|} = \frac {\mathbf{a} \cdot \mathbf{b}} {\left|\mathbf{b}\right| },

Properties

The scalar projection has a negative sign if 90^\circ . It coincides with the length of the corresponding vector projection if the angle is smaller than 90°. More exactly, if the vector projection is denoted \mathbf{a}_1 and its length \left|\mathbf{a}_1\right|:

: s = \left|\mathbf{a}_1\right| if 0^\circ \le \theta \le 90^\circ, : s = -\left|\mathbf{a}_1\right| if 90^\circ

Sources

References

References

  1. Strang, Gilbert. (2016). "Introduction to linear algebra". Cambridge press.
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