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    Prey and predator differential equation

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    I think the solution is probably a simple modification to the predation equations:

    dN/dt = rN - cNP is the growth rate for the prey population and
    dP/dt = -dp + gcNP is the growth rate for predator population, where:
    N= prey density
    P = predator density
    d= death rate
    g = conversion efficiency of prey to predators
    r = per capita growth rate of prey
    c = rate that predator eats

    My latest idea is to combine these equations to get:
    dP1/dt = -dP1 + cP2P1+rP2-cP21P1 and
    dP2/dt = -dP2 +cP1P2 +rP1-cP1P2
    does that sound reasonable to any of you math experts out there?

    I need to use the basic Lotka-Volterra equations below to represent a situation where there are 2 predators that eat each other (rather than a single predator eating a single prey). And using those equations determine what happens to the growth rate of each predator over time. Does that help?

    I am trying to figure out how to write a pair of differential equations for 2 predators that eat each other. This should assume that there is no density dependence, each has a separate and constant death rate, each increases solely as a result of consumption of the other, and each has a type 1 functional response to the other.

    I do not know where to start. We have covered the Lotka -Volterra equations which represent either competition or predation, which I understand, but I am just not sure how to represent the above situation mathematically.

    So far my ideas are:
    1) combining the equations for competition and predation, since both
    are now predators and they will be competing with one another:
    So a type 1 functional response would be represented by:
    dN/dt = rN - cNP is the growth rate for the prey population and
    dP/dt = -dp + gcNP is the growth rate for predator population, where:
    N= prey density
    P = predator density
    d= death rate
    g = conversion efficiency of prey to predators
    r = per capita growth rate of prey
    c = rate that predator eats

    and the competition eqn's are:
    dN1/dt = r1N1 * (1- N1/K1 - a*N2/K1) and
    dN2/dt = r2N2 * (1- N2/K2 - b*N1/K2).
    where K is carrying capacity and
    a & b are competition coefficient
    s. I don't think I can simply combine these since a type 1 response shows exponential growth while the competition equations take density dependence into account. Somehow it seems I should be able to treat both as predator AND prey. So my next idea is to create an equation that would represent a mutualistic situation (where both benefit) or perhaps commensialism (where one benefits and the other neither harms nor benefits. However, I am not sure)

    Once I come up with the equation I also need to make a discrete time step version of this model to see if it behaves similarly. I assume I would start by N(t=1) =

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    https://brainmass.com/math/calculus-and-analysis/prey-and-predator-differential-equation-52336

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