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Derivative rules for differentiable matrix-valued curves, and skewness of for a curve in
Statement
Let be an interval with at least two points, let and let be differentiable at , meaning (The vector space of by matrices over a field, with entrywise operations) that every entry function and is differentiable at in the sense of The derivative of at a point that is a limit point of , and differentiability on a set; write for the matrix with entries , and similarly for .
- and are differentiable at , with and .
- is differentiable at , with .
- If for every (The orthogonal group and the rotation group ), then the matrix is skew-symmetric, i.e. at , and likewise is skew-symmetric. In particular the trace of each of these two matrices vanishes.
Facts & Assumptions
Given: An interval with at least two points, a point , and maps differentiable at in the entrywise sense of the statement.
If are differentiable at and , then , and are differentiable at with , and Sums, scalar multiples, products and quotients: , , , and when .
is the function space of entries indexed by with pointwise sum, so ; the transpose is ; and the product is The vector space of by matrices over a field, with entrywise operations, The transpose of a matrix, Rectangular matrix multiplication and the identity matrix , including zero-sized shapes.
Transposition is involutive and reverses products: and Transpose is linear and involutive, and .
For one has , , invertible with , and also The orthogonal group and the rotation group , is a subgroup of the general linear group, with .
A constant function is differentiable at every point of with derivative : its difference quotient at any limit point of is the constant function , whose limit is The derivative of at a point that is a limit point of , and differentiability on a set.
The identity matrix has entries for equal indices and otherwise, and the matrix all of whose entries are is the zero matrix Rectangular matrix multiplication and the identity matrix , including zero-sized shapes, The vector space of by matrices over a field, with entrywise operations.
Proof
For all the entry is differentiable at with derivative by [L1] and [L2]; these are the entries of , so is differentiable with the asserted derivative.
For all the entry is differentiable at with derivative , which is the entry of ; so is differentiable with the asserted derivative.
For all the entry is a finite sum of products of functions differentiable at , hence differentiable at with derivative by two applications of [L1]; this sum is the entry of by [L2]. Hence is differentiable at with .
Assume for all . By steps 1.2 and 1.3 the map is differentiable at , with derivative at . By [L4] this map is the constant map , and every entry of this constant entry function is constant, so by [L5] and [L2] its derivative at is the zero matrix [L6]. Hence at .
By [L4] and [L3] the map is also the constant map , so step 1.3 gives at , and transposing with [L3] gives .
Transposing the identity of step 2.1 and using [L3] gives , hence , so is skew-symmetric.
A skew-symmetric matrix has zero diagonal, hence trace : the entry satisfies by step 3.1 applied entrywise, so in ; this applies to the two matrices of steps 3.1 and 2.2.
Depends on
The derivative of at a point that is a limit point of , and differentiability on a set
Sums, scalar multiples, products and quotients: , , , and when
The vector space of by matrices over a field, with entrywise operations
Rectangular matrix multiplication and the identity matrix , including zero-sized shapes
The transpose of a matrix
Transpose is linear and involutive, and
The orthogonal group and the rotation group
is a subgroup of the general linear group, with
Dependency tree · 2 levels
Sources
- D. Tong, Classical Dynamics (Cambridge lecture notes, 2015), §3.1.1, printed pp. 47-49: the moving body basis and the antisymmetry computation $R^{\mathsf T}\dot R+\dot R^{\mathsf T}R=0$
- G. J. Sussman and J. Wisdom, Structure and Interpretation of Classical Mechanics, 2nd ed. (MIT Press, 2014), §2.2 (Kinematics of Rotation), Eq. (2.21): orientation matrix and skew angular-velocity matrix
- K. Likharev, Essential Graduate Physics: Classical Mechanics, Ch. 4 §4.1, Eqs. (4.1)-(4.10): moving frame, antisymmetric angular-velocity matrix and the transport theorem