Tradiotional MEA proof

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Revision as of 27 September 2017 at 01:15.
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Tradiotional MEA proof

I came up with a proof for traiotional MEA which fits on a margin :)

First of all we notice that even the slowest bullet is faster than a bot at full speed. Thus any bullet eventually hits a bot. Now we assume that both the bot and the bullet are spherical points and move in vacuum :), also that there are no walls. We also assume that the bot can reach maximum speed instantaneously.

Let's put the firing bot in the origin and the target somewhere on the right of the x axis (no y displacement). Now we notice that in order to hit the bot, the bullet must have exactly the same y projection of the speed as the target bot.

Vbullet_y = sin(theta)*V_bullet = Vbot_y

Sin V_bullet is fixed in a given situation, the maximum theta (MEA) will be when Vbot_y is maximized, i.e. V_bot_y = V_bot. Substituting it above, we obtain traditional formula

MEA = asin( Vbot/Vbullet )
    Beaming (talk)03:47, 25 September 2017

    excellent proof! I traped myself in polar coordination and forgot the most important cartesian coordinates;)

      Xor (talk)05:09, 25 September 2017
       

      I really like this proof!

      There is another that you can do, with calculus, so find the escape angle that maximises theta. But that one is more complicated =)

        Skilgannon (talk)06:51, 25 September 2017
         

        Anyway, the less assumptions you made, the better ;) Do not assume constant speed & direction — use integral instead.

        Assume the firing robot sits at the origin, and the target robot sits on the positive x-axis.

        Since when hit, <math>y_{bullet} = y_{robot}</math>, we have

        <math>\int_{0}^{t_1} v_{bullet} sin(\theta) dt = \int_{0}^{t_1} v_{robot} cos(\alpha) dt</math> where <math>\theta</math> is escape angle, <math>\alpha</math> is retreat angle (the heading of the target robot relating to the y-axis, the direction from y-axis to x-axis is positive).


        Since <math>v_{bullet}</math> and <math>\theta</math> is constant, we have

        <math>v_{bullet} sin(\theta) t_1 = \int_{0}^{t_1} v_{robot} cos(\alpha) dt</math>


        assume <math>v_{robot}</math> is always the max — 8, therefore constant, we have

        <math>v_{bullet} sin(\theta) t_1 = v_{robot} \int_{0}^{t_1} cos(\alpha) dt</math>


        let <math>\alpha_{0}, \alpha_{2}</math> s.t. <math>cos(\alpha_{0}) \leqslant cos(\alpha) \leqslant cos(\alpha_{2})</math>

        there exists <math>\alpha_{1}</math>, <math>cos(\alpha_{0}) \leqslant cos(\alpha_{1}) \leqslant cos(\alpha_{2})</math> s.t. <math>cos(\alpha_{1}) t_1 = \int_{0}^{t_1} cos(\alpha) dt</math>


        then we have

        <math>v_{bullet} sin(\theta) t_1 = v_{robot} cos(\alpha_1) t_1</math>

        <math>v_{bullet} sin(\theta) = v_{robot} cos(\alpha_1)</math>

        <math>sin(\theta) = \frac{v_{robot}}{v_{bullet} } cos(\alpha_1)</math>

        then we have

        <math>\theta_{max} = asin(\frac{v_{robot}}{v_{bullet} })</math>, which can be reached when <math>\alpha_1</math> = 0.

        since <math>cos(\alpha) \leqslant cos(0) = 1</math>, <math>\alpha</math> must be always 0, which proved that retreat angle must be always 0.

        And we proved that <math>\theta_{max} = asin(\frac{v_{robot}}{v_{bullet} })</math> is true.

          Xor (talk)11:24, 25 September 2017
           

          I'm still sure that getting slightly away is better both with orbital and traditional one.

            Dsekercioglu (talk)08:08, 26 September 2017

            Better for what? It does not increase your MEA. Though it decreases the target angular size, so it reduces the probability to be hit. Calculating probability to be hit is yet another beast, which we probably should attempt to solve analytically.

            There is another issue, the traditional MEA is good only for a single isolated wave, the real question is how to increase the MEA in a stream of constantly fired bullets.

              Beaming (talk)18:59, 26 September 2017

              For wave surfers, I think my work is useful — User:Xor/Better_MEA_formula, as the movement is constant with time, it is naturally suitable for multiple waves ;)

                Xor (talk)02:15, 27 September 2017