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The properties of the commutative exponential of a matrix x in the space of antisymmetric dyadics, denoted o(n). The author derives the basis of o(n) and shows that the matrix x is determined by its components xi,j for i < j. The document also discusses the relationship between the matrix x and the vector a, which uniquely represents an element x of o(n). Furthermore, the document explains how the vector f, obtained from the normalised dot product a · j, is related to the gradient vector ∇qg and the vector vf [g]. The document concludes by demonstrating the equality of the matrix exp(tvf )(q,p) and etxa(q,p) for all (q,p) in rn × rn.
Typology: Exercises
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n!
n=
(−tX)n n!
= e−tX^.
Since tX and −tX commute, I get etX^ (etX^ )∗^ = etX^ e−tX^ = etX−tX^ = e^0 = 1. Thus, etX^ ∈ O(n). Of course, e^0 X^ = 1. Dierentiating termwise, as is allowed for entire functions on Banach algebras,
d dt
etX^ =
n=
ntn−^1 Xn n!
n=
(tX)n−^1 X (n − 1)!
n=
(tX)n n!
= XetX^ ,
which at t = 0 is X1 = X.
3 If X ∈ o(n), then Xi,j = −Xj,i for indices i, j. If i = j, it follows that Xi,j = 0. If i > j, then Xi,j is de- termined by Xj,i, where j < i. Thus, X is determined by Xi,j for i < j. Conversely, given any values for Xi,j for i < j, let Xi,j be −Xj,i when i > j and let Xi,j be 0 when i = j. Then X ∈ o(n). Thus, a basis of o(n) is {Ei,j^ ... i < j}, where (Ei,j )i,j = 1, (Ei,j )j,i = − 1 , and every other component of Ei,j is 0. (That is, (Ei,j )k,l := δi,jk,l.) When n = 3, we have {E 1 , 2 , E 1 , 3 , E 2 , 3 }. Since X 1 = −E 2 , 3 , X 2 = E 1 , 3 , and X 3 = −E 1 , 2 , another basis is {X 1 , X 2 , X 3 }.
4 If v = (v 1 , v 2 , v 3 ), then
(a · X)v =
0 −a 3 a 2 a 3 0 −a 1 −a 2 a 1 0
v 1 v 2 v 3
a 2 v 3 − a 3 v 2 a 3 v 1 − a 1 v 3 a 1 v 2 − a 2 v 1
= a × v.
Thus, the t derivative of eta·Xv is (a · X)eta·Xv = a × eta·Xv.
5 Let G be any smooth function on the manifold X. Then
vF [G] = {F, G} = ∂F ∂p 1
∂q 1
∂q 1
∂p 1
∂p 2
∂q 2
∂q 2
∂p 2
∂p 3
∂q 3
∂q 3
∂p 3
= (a 2 q 3 − a 3 q 2 )
∂q 1
− (a 3 p 2 − a 2 p 3 )
∂p 1
∂q 2
− (a 1 p 3 − a 3 p 1 ) ∂G ∂p 2
− (a 2 p 1 − a 1 p 2 ) ∂G ∂p 3 = (a × q) · ∇qG + (a × p) · ∇pG.
Thus, vF = (a × q) · ∇q + (a × p) · ∇p. Identifying the tangent spaces to R^3 × R^3 with R^3 × R^3 itself, this becomes vF = (a × q, a × p) = (a, a) (×, ×) (q, p).
6 At t = 0, both sides of equation (1) reduce to (q, p). The t derivative of the left side is vF |exp (tvF )(q,p) = (a, a) (×, ×) exp (tvF )(q, p); the t derivative of the right side is (a × eta·Xq, a × eta·Xp) = (a, a) (×, ×) eta·X(q, p). Thus, both sides satisfy the same initial value problem, so they are equal.
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7 Recall that we have the basis {Ei,j^ ... i < j} for o(n). Then an element X of o(n) is given uniquely by a 2 vector a in Λ^2 Rn, under X =
i<j ai,j^ Ei,j^. Symbolically, I ll indicate this as^ Xa. Then^ Xav^ =^ a^ ·^ v, where a is treated as an antisymmetric dyadic for purposes of the dot product. The t derivative of etXa^ v is XaetXa^ v = a · etXa^ v. If (q, p) ∈ Rn^ × Rn, then let J be the 2 vector q ∧ p. Then let F be the normalised dot product a · J. That is, F =
i<j ai,j^ (qipj^ −^ qj^ pi). Given G ∈ C∞(Rn^ × Rn),
vF [G] = {F, G} =
k
∂pk
∂qk
∂qk
∂pk
k
i<j
ai,j (qiδj,k − qj δi,k) ∂G ∂qk
− ai,j (δi,kpj − δj,kpi) ∂G ∂pk
i<j
ai,j
qi
∂qj^ −^ qj
∂qi^ +^ pi
∂pj^ −^ pj
∂pi
i,j
ai,j
qi
∂qj^ +^ pi
∂pj
= (a · q) · ∇qG + (a · p) · ∇pG.
Thus, vF = (a · q) · ∇q + (a · p) · ∇p = (a · q, a · p) = (a, a) (·, ·) (q, p). In this context, equation (1) becomes
exp (tvF )(q, p) = etXa^ (q, p).
Again, at t = 0, both sides become (q, p). The t derivative of the left side is (a, a) (·, ·) exp (tvF )(q, p), and that of the right side is (a, a) (·, ·) etXa^ (q, p). Therefore, the two sides are still equal.
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