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In a previous exercise we formulated a model for learning in the form of the differential equation dP dt = k(M − P) where P(t) measures the performance of someone learning a skill after a training time t, M is the maximum level of performance, and k is a positive constant. Solve this differential equation to find an expression for P(t). (Use P for P(t). Assume that P(0) = 0.)

User Chillie
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1 Answer

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Answer:


(dP)/(M-P)= kdt

And we can integrate both sides of the equation using the following substitution:


u= M-P, du =-dP

And replacing we got:


\int -(du)/(u) = kt +C


-ln (u)= kt+c

If we multiply both sides by -1 we got:


ln (u ) = -kt -c


ln (M-P) = -kt -c

And using exponential in both sides of the equation we got:


M-P = e^(-kt) e^(-c)

And solving for P we got:


P(t) = M- e^(-kt)e^(-c)

And replacing
P_o =e^(-c) we got:


P(t) = M - P_o e^(-kt)

We can use the condition
P(0)=0 and we got:


0 = M -P_o e^0

And we see that
M = P_o and replacing we got:


P= M(1- e^(-kt))

Explanation:

For this case we aasume the following differential equation:


(dP)/(dt)= k(M-P)

Is a separable differential equation so we can do the following procedure:


(dP)/(M-P)= kdt

And we can integrate both sides of the equation using the following substitution:


u= M-P, du =-dP

And replacing we got:


\int -(du)/(u) = kt +C


-ln (u)= kt+c

If we multiply both sides by -1 we got:


ln (u ) = -kt -c


ln (M-P) = -kt -c

And using exponential in both sides of the equation we got:


M-P = e^(-kt) e^(-c)

And solving for P we got:


P(t) = M- e^(-kt)e^(-c)

And replacing
P_o =e^(-c) we got:


P(t) = M - P_o e^(-kt)

We can use the condition
P(0)=0 and we got:


0 = M -P_o e^0

And we see that
M = P_o and replacing we got:


P= M(1- e^(-kt))

User Moleboy
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