Direction cosine
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In analytic geometry, the direction cosines (or directional cosines) of a vector are the cosines of the angles between the vector and the three positive coordinate axes. Equivalently, they are the contributions of each component of the basis to a unit vector in that direction.
Three-dimensional Cartesian coordinates
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If v is a Euclidean vector in three-dimensional Euclidean space,
where ex, ey, ez are the standard basis in Cartesian notation, then the direction cosines are
It follows that by squaring each equation and adding the results
Here α, β, γ are the direction cosines and the Cartesian coordinates of the unit vector and a, b, c are the direction angles of the vector v.
The direction angles a, b, c are acute or obtuse angles, i.e., 0 ≤ a ≤ π, 0 ≤ b ≤ π and 0 ≤ c ≤ π, and they denote the angles formed between v and the unit basis vectors ex, ey, ez.
General meaning
More generally, direction cosine refers to the cosine of the angle between any two vectors. They are useful for forming direction cosine matrices that express one set of orthonormal basis vectors in terms of another set, or for expressing a known vector in a different basis. Simply put, direction cosines provide an easy method of representing the direction of a vector in a Cartesian coordinate system.
Applications
Determining angles between two vectors
Let u and v have direction cosines (αu, βu, γu) and (αv, βv, γv), respectively, having an angle θ between them. Their unit vectors arerespectively.
Taking the scalar product of these two unit vectors yield,The geometric interpretation of the scalar product of these two unit vectors is equivalent to the projection of one vector onto another; linking the two definitions we find the following.
There exist two choices for θ (because cosine is even); one is acute, another is the obtuse angle between them. The convention is to choose the acute, so we take the absolute value of the scalar product.
See also
References
- Page Module:Citation/CS1/styles.css has no content.Kay, D. C. (1988). Tensor Calculus. Schaum’s Outlines. McGraw Hill. pp. 18–19. ISBN 0-07-033484-6.
- Page Module:Citation/CS1/styles.css has no content.Spiegel, M. R.; Lipschutz, S.; Spellman, D. (2009). Vector analysis. Schaum’s Outlines (2nd ed.). McGraw Hill. pp. 15, 25. ISBN 978-0-07-161545-7.
- Page Module:Citation/CS1/styles.css has no content.Tyldesley, J. R. (1975). An introduction to tensor analysis for engineers and applied scientists. Longman. p. 5. ISBN 0-582-44355-5.
- Page Module:Citation/CS1/styles.css has no content.Tang, K. T. (2006). Mathematical Methods for Engineers and Scientists. Vol. 2. Springer. p. 13. ISBN 3-540-30268-9.
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