A cube is centered at the origin. Eight drones are positioned at its eight vertices. Specifically, their positions are given by, r 1 = ( 1 , − 1 , − 1 ) , r 2 = ( 1 , 1 , − 1 ) , r 3 = ( − 1 , 1 , − 1 ) , r 4 = ( − 1 , − 1 , − 1 ) r 5 = ( 1 , − 1 , 1 ) , r 6 = ( 1 , 1 , 1 ) , r 7 = ( − 1 , 1 , 1 ) , r 8 = ( − 1 , − 1 , 1 )
At t = 0 drone k starts flying towards drone 1 + ( k m o d 8 ) , so that drone 1 flies towards drone 2 , and drone 2 flies towards drone 3 , …,etc., and finally, drone 8 flies towards drone 1 .
To make the problem interesting, we'll add one more feature, as follows, for each k = 1 , 2 , … , 8 the velocity of the k -th drone is specified as,
r ˙ k = ( 0 . 1 k ) ( r j − r k ) where j = 1 + ( k m o d 8 )
The drones trajectories converge towards a single point ( x , y , z ) . Find ⌊ 1 0 0 0 ( x − y − z ) ⌋
This section requires Javascript.
You are seeing this because something didn't load right. We suggest you, (a) try
refreshing the page, (b) enabling javascript if it is disabled on your browser and,
finally, (c)
loading the
non-javascript version of this page
. We're sorry about the hassle.
Excellent solution. Thank you for sharing it.
The system is described by 8 × 3 first-order linear differential equations with constant coefficients. While it is possible to obtain a closed-form solution, it is much easier to solve numerically using any differential equation solver. I used the Runge-Kutta 4th-Order method for integrating a vector first-order differential equation. The result is that the trajectories converge to the point ( x , y , z ) = ( 0 . 3 7 3 6 , − 0 . 1 5 9 0 , − 0 . 5 3 3 1 ) , and this makes the answer ⌊ 1 0 0 0 ( 0 . 3 7 3 6 + 0 . 1 5 9 0 + 0 . 5 3 3 1 ) ⌋ = 1 0 6 5 .
I have another solution which I wrote earlier, but I deleted thet.I would like to write it again.(dR/dt)=0.1k(Rj–Rk).These implies that (1/k)(dR/dt)=0.1(Rj–Rk).If we add all this equalities for k=1,2....,8 we get summation of (dR/dt) for k=1 to 8 is equals to 0.Now integrating both sides we get summation of R/k from k=1 to 8=c,where c is a constant which is constant irrespective of R.Thus if we put initial values of there coordinates then we get c(x,y,z) {as R and c represents tuple of coordinates}.Now when all the drones come at a same point then R (x,y,z) is same for all drones .Thus R(1+1/2+1/3+1/4+1/5+1/6+1/7+1/8)=c. From the known value of c which we determined earlier we get this R(x,y,z). And thus 1000{x―y―z}=1065
Problem Loading...
Note Loading...
Set Loading...
The family of vector-valued differential equations r ˙ k = 1 0 1 k ( r k + 1 − r k ) 1 ≤ k ≤ 8 imply that d t d ( k = 1 ∑ 8 k − 1 r k ) = 1 0 1 k = 1 ∑ 8 ( r k + 1 − r k ) = 0 so that the vector k = 1 ∑ 8 k − 1 r k remains constant throughout the motion. Given that the drones all converge to the point x , we deduce that ( k = 1 ∑ 8 k − 1 ) x = k = 1 ∑ 8 k − 1 r k ( 0 ) = 8 4 0 1 ⎝ ⎛ 8 5 3 − 1 2 1 − 1 2 1 7 ⎠ ⎞ so that x = 2 2 4 3 1 ⎝ ⎛ 8 5 3 − 1 2 1 − 1 2 1 7 ⎠ ⎞ which makes the answer ⌊ 1 0 0 0 × 2 2 4 3 8 5 3 + 1 2 1 + 1 2 1 7 ⌋ = ⌊ 7 6 1 8 1 1 0 0 0 ⌋ = 1 0 6 5 The 8 × 8 matrix that determines these vector-valued differential equations, namely ⎝ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎛ − 1 0 0 0 0 0 0 8 1 − 2 0 0 0 0 0 0 0 2 − 3 0 0 0 0 0 0 0 3 − 4 0 0 0 0 0 0 0 4 − 5 0 0 0 0 0 0 0 5 − 6 0 0 0 0 0 0 0 6 − 7 0 0 0 0 0 0 0 7 − 8 ⎠ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎟ ⎞ has one eigenvalue of 0 , and its other seven eigenvalues have negative real part. This implies that the drones do indeed converge to a single point (corresponding to the eigenvector associated with the eigenvalue of 0 ). I shall omit the details.