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Oriented orthonormal triads in : existence over any unit vector, and the orthonormal expansion with no fourth orthogonal direction
Statement
Call a triple of vectors of an oriented orthonormal triad when for all and . Then:
- Existence. For every with there are such that is an oriented orthonormal triad.
- Dimension bound. Every orthonormal list (pairwise orthogonal unit vectors) has ; consequently, for every oriented orthonormal triad and every ,
Throughout, and are the Euclidean inner product and norm (The Euclidean inner product on ), is the cross product (The cross product in ), and is the standard basis of (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ).
Facts & Assumptions
Given: A unit vector , standard basis vectors , and arbitrary orthonormal lists as in the statement.
The triple product identity holds for all (The vector triple product identity ).
The cross product is bilinear and alternating and is orthogonal to both factors; and (The cross product is bilinear, alternating, and orthogonal to both factors, The squared cross-product norm is the Gram determinant of two vectors, The Euclidean inner product on ).
Relabel the standard basis indexed in the supplier as . This basis is orthonormal: , and every is with , by the coordinate definition of the Euclidean inner product and the standard basis (The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension , The Euclidean inner product on ).
Bessel's inequality: for an orthonormal family in an inner product space (Real and complex inner product spaces, with the inner product linear in the first argument, Orthogonal vectors and subspaces, orthogonal and orthonormal sets, and orthonormal bases) and every vector , (The Bessel inequality for an arbitrary orthonormal family).
Finite sums may be reordered and combined (Laws of finite sums and finite products); and two distinct standard basis vectors are not parallel, since they have distinct, nonvanishing coordinates.
Proof
At most one standard basis vector is parallel to : if and with and , then , which is false because and have in different coordinates. Hence some with not parallel to exists.
Let be orthonormal, and suppose . Applying Bessel's inequality [L4] to each standard basis vector gives . Summing over and exchanging the finite sums [L5] gives .
Put . Then : otherwise is parallel to , contrary to step 1.1. Set . Then and , because and .
For each , the standard-basis expansion of [L3] applied to gives . Hence the left-hand side of step 1.2 equals , contradicting the bound of step 1.2. Therefore no orthonormal list in has four or more members.
Set . By [L2], and ; and by the triple product identity [L1]. So is an oriented orthonormal triad, which is clause 1.
Let be an oriented orthonormal triad and . Put . Then for each , by bilinearity of the inner product. If , then would be four pairwise orthogonal unit vectors, contradicting step 2.2; hence , which is the expansion.
With the expansion in hand, by bilinearity and orthonormality. This completes clause 2.
Depends on
The vector triple product identity
The cross product in
The Euclidean inner product on
The cross product is bilinear, alternating, and orthogonal to both factors
The squared cross-product norm is the Gram determinant of two vectors
The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension
Laws of finite sums and finite products
The Bessel inequality for an arbitrary orthonormal family
Orthogonal vectors and subspaces, orthogonal and orthonormal sets, and orthonormal bases
Real and complex inner product spaces, with the inner product linear in the first argument
Dependency tree · 2 levels
Sources
- David Tong, Classical Dynamics (University of Cambridge), §1.1 and §2.5.4: orthonormal vector triads, the right-handed relation $\mathbf e_1\times\mathbf e_2=\mathbf e_3$ and planar coordinates in the orbital plane
- Richard Fitzpatrick, Newtonian Dynamics (University of Texas at Austin), §2.4: Cartesian components, orthonormal bases and the scalar-product expansion $\mathbf a=(\mathbf a\cdot\mathbf e_1)\mathbf e_1+(\mathbf a\cdot\mathbf e_2)\mathbf e_2$