From Surf Wiki (app.surf) — the open knowledge base
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
- Strang, Gilbert. (2016). "Introduction to linear algebra". Cambridge press.
This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.
Ask Mako anything about Scalar projection — get instant answers, deeper analysis, and related topics.
Research with MakoFree with your Surf account
Create a free account to save articles, ask Mako questions, and organize your research.
Sign up freeThis content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.
Report