assuming U, V and W are vectors, prove that (UxV)*[(VxW)x(WxU)]=[U*(VxW)]^2, where x is cross product, * is dot product.
i know Ax(BxC)=B(A.C)-C(A.B), and A.(BxC)=B.(CxA)=C.(AxB), but i dont know where to start from.
im not seeing the v u ws right, they tend to merge into one .....
ugh o.o?
i assume we have to do it with identities then?
the question hinted to use Ax(BxC)=B(A*C)-C(A*B), and A*(BxC)=B*(CxA)=C*(AxB), but i cant see where's the catch
is the dot product distributive?
a.(bxc) = a.b ? a.c
dot produce a scalar, and crossing a scalar is undefined so i really got to read up on these properties again :)
er yes dot is distributive and commutative, scalar is not commutative and associative
scalar is not commutative and not* associative
erm sry not scalar, its cross, lol
\[\vec a.(\vec b\times \vec c)=\vec a\vec c-\veca \vec b \] oy this thing is a headache :)
er izit possible to let UxV be A, VxW be B, and WxU be C,
(UxV) * ( (VxW)x(WxU) ) = ( U*(VxW) )^2 (WxU)*((UxV)x (VxW)) - (VxW) ( (UxV)x(WxU) ) = ( U*(VxW) )^2 yes, its prolly best to redifine them so that he mess cleans up; since all they produce are another vector
(UxV) * ( (VxW)x(WxU) ) = ( U*(VxW) )^2 A.(BxC) = (U.B)^2 the thing is now we have to define "U" from the others in order to pair it up in the end
but once you get thist o something close in resemblance; you can switch back to the UVW mess and see if it pans out
erm does (VxW)x(WxU) = VxWxWxU = VxWxU?
kinda mixed up with boolean already LOL
A.(BxC) = C.(AxB) - B.(AxC) WxW is only 1, if W = W^-1
in general, WxW not= W perse
and since there is no indication that these are perp to each other we should keep it as general as possible
just my thoughts about it tho
ouh i'll try again.
i cant parse it with any degree of certainty :) so i wish you the best of luck on it; and when all else fails, google it :)
cant google it, lol. maximum only managed to obtain the 2 properties as given in the question。
anyway thx for your opinion ;D
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