MedVision ad

HSC 2016 MX1 Marathon (archive) (3 Viewers)

Status
Not open for further replies.

hedgehog_7

Member
Joined
Dec 13, 2015
Messages
50
Gender
Male
HSC
2016
Re: HSC 2016 3U Marathon

Two particles A and B are moving along a horizontal line with their distances X(A) and X(B) to the right of the origin O at time t given by
X(A) = 4te^(-t) and X(B) = -4(t^2)(e^-t). The particles are joined by a piece of elastic, whose midpoint M has position X(M) at time t.

When are A and B furthest apart?
Ans: t = 0.5(1+root 5)

ive tried adding X(A) and X(B) and then differentiating it to find the max tp and i dont seem to get the answer. Thx
 

leehuan

Well-Known Member
Joined
May 31, 2014
Messages
5,805
Gender
Male
HSC
2015
Re: HSC 2016 3U Marathon

Two particles A and B are moving along a horizontal line with their distances X(A) and X(B) to the right of the origin O at time t given by
X(A) = 4te^(-t) and X(B) = -4(t^2)(e^-t). The particles are joined by a piece of elastic, whose midpoint M has position X(M) at time t.

When are A and B furthest apart?
Ans: t = 0.5(1+root 5)

ive tried adding X(A) and X(B) and then differentiating it to find the max tp and i dont seem to get the answer. Thx
I'm tired so I'm not too sure but don't you want to subtract X(B) from X(A) instead of adding them? If you want to find when they're the furthest apart then wouldn't you be wanting to maximise the difference between their distances?
 

InteGrand

Well-Known Member
Joined
Dec 11, 2014
Messages
6,109
Gender
Male
HSC
N/A
Re: HSC 2016 3U Marathon

Two particles A and B are moving along a horizontal line with their distances X(A) and X(B) to the right of the origin O at time t given by
X(A) = 4te^(-t) and X(B) = -4(t^2)(e^-t). The particles are joined by a piece of elastic, whose midpoint M has position X(M) at time t.

When are A and B furthest apart?
Ans: t = 0.5(1+root 5)

ive tried adding X(A) and X(B) and then differentiating it to find the max tp and i dont seem to get the answer. Thx
Maximise the squared difference between the two particles' distance functions.
 

InteGrand

Well-Known Member
Joined
Dec 11, 2014
Messages
6,109
Gender
Male
HSC
N/A
Re: HSC 2016 3U Marathon

i dont get it lol
Troll power rule. (It'd be the answer if the integral was de instead of dx, where e is a variable rather than the number e, and x is a parameter independent of this variable e, and assuming x is not equal to -1.)
 

Nailgun

Cole World
Joined
Jun 14, 2014
Messages
2,193
Gender
Male
HSC
2016
Re: HSC 2016 3U Marathon

Troll power rule. (It'd be the answer if the integral was de instead of dx, where e is a variable rather than the number e, and x is a parameter independent of this variable e, and assuming x is not equal to -1.)
OHHHH lol
i thought it was some smartly derived equivalent expression
then i tried checking it by equating it to e^x and it didn't work lol
 

hedgehog_7

Member
Joined
Dec 13, 2015
Messages
50
Gender
Male
HSC
2016
Re: HSC 2016 3U Marathon

Maximise the squared difference between the two particles' distance functions.
wait so ive tried what leehuan said and i subtracted it and i end up with t = -0.5(1+ root 5) as the max value instead of t = 0.5(1 + root5) ive doubled checked and i dont see any errors. Thoughts?
 

InteGrand

Well-Known Member
Joined
Dec 11, 2014
Messages
6,109
Gender
Male
HSC
N/A
Re: HSC 2016 3U Marathon

wait so ive tried what leehuan said and i subtracted it and i end up with t = -0.5(1+ root 5) as the max value instead of t = 0.5(1 + root5) ive doubled checked and i dont see any errors. Thoughts?
What was the function you tried to maximise?
 

InteGrand

Well-Known Member
Joined
Dec 11, 2014
Messages
6,109
Gender
Male
HSC
N/A
Re: HSC 2016 3U Marathon

4(e^-t) (-t^2 + t +1)
This is not the difference between the two functions you gave.

The two position functions were:

xA(t) = 4te^(-t) and xB(t) = -4(t^2)e^(-t).

The squared-difference is: s(t) := (xA(t) – xB(t))2.

Try maximising that. (The distance isn't simply xA – xB, it is |xA – xB|. Since absolute values are less nice to work with than squared-distance, and optimising the squared-distance will be equivalent to optimised the distance, it is easier to work with the squared-distance instead.)

Actually, in this case, it is easy to see that xA is always greater than or equal to xA is non-negative always, whilst xB is non-positive always. So in this case, the distance actually is xA – xB, and we can just optimise this. What I said above with the squared-distance stuff was for general distance functions, which may change which one is greater than the other over time, in which case the squared-distance trick is handy.

So for this one, we need to optimise the function

f(t) := xA(t) – xB(t)

= 4te^(-t) – [-4(t^2)e^(-t)]

= 4te^(-t) [1+t].

I think you posted the distance functions wrong the first time?
 
Last edited:
Status
Not open for further replies.

Users Who Are Viewing This Thread (Users: 0, Guests: 3)

Top