How Do You Solve a Partially Decoupled System of Differential Equations?

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In summary, we have considered a partially-decoupled system given by the equations:\left\{x(t)=3c_1e^{3t}-3c_2e^{t}-1y(t)=3c_1e^{3t}\right.where the sole equilibrium point is:(x,y)=(-1,0)and the particular solution satisfying the initial value (x_0,y_0)=(-1,3) is given by:Y_p(t)=\left(x(t),y(t)\right)=\left(3e^{3t}-3e^{t}-1,3e^{3t}\right)
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Consider the partially-decoupled system
dx/dt = x+2y+1
dy/dt = 3y

Derive the general solution. Find equilibrium points. Find the solution satisfying the initial value (x(sub 0), y(sub 0)) = (-1,3).
 
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Hello and welcome to MHB, superduck1385! :D

We normally ask that people posting questions show what they have done so far so that our helpers know exactly where you are stuck or may be going wrong, and can offer the best help possible.

Now, I think my first step would be to solve the second equation, as it is linear. Perhaps the simplest method would be to observe that it has one characteristic root...can you find this root, and thus the general solution to the second equation, giving you something which you can substitute into the first equation?
 
  • #3
Since more than 48 hours has gone by with no additional feedback from the OP, I will finish the problem for the benefit of future readers.

Now, we see that the second equation has the characteristic root:

\(\displaystyle r=3\)

and so the general solution for that equation is:

\(\displaystyle y(t)=c_1e^{3t}\)

Now, substituting this into the first equation, there results:

\(\displaystyle \d{x}{t}=x+2c_1e^{3t}+1\)

Writing this ODE in standard linear form, we obtain:

\(\displaystyle \d{x}{t}-x=2c_1e^{3t}+1\)

We see by inspection that the integrating factor is:

\(\displaystyle \mu(t)=e^{-t}\)

And hence, then ODE becomes:

\(\displaystyle e^{-t}\d{x}{t}-xe^{-t}=2c_1e^{2t}+e^{-t}\)

We may now rewrite the left side:

\(\displaystyle \frac{d}{dt}\left(e^{-t}x\right)=2c_1e^{2t}+e^{-t}\)

Integrating both sides with respect to $t$, we obtain:

\(\displaystyle e^{-t}x=c_1e^{2t}-e^{-t}+c_2\)

And so we obtain:

\(\displaystyle x(t)=c_1e^{3t}+c_2e^{t}-1\)

The general solution is thus:

\(\displaystyle Y(t)=\left(x(t),y(t)\right)=\left(c_1e^{3t}+c_2e^{t}-1,c_1e^{3t}\right)\)

To find the equilibrium points, we equate both derivatives to zero:

\(\displaystyle x+2y+1=0\)

\(\displaystyle 3y=0\)

The second equation implies $y=0$ and so the first equation implies $x=-1$, and so the sole equilibrium point is:

\(\displaystyle (x,y)=(-1,0)\)

Using the conventional notation:

\(\displaystyle x_0=x(0)\) and \(\displaystyle y_0=y(0)\)

we may determine the particular solution satisfying the given initial conditions as follows:

\(\displaystyle x(0)=c_1+c_2-1=-1\implies c_1+c_2=0\)

\(\displaystyle y(0)=c_1=3\implies c_2=-3\)

Hence, we find the particular solution:

\(\displaystyle Y_p(t)=\left(x(t),y(t)\right)=\left(3e^{3t}-3e^{t}-1,3e^{3t}\right)\)
 

FAQ: How Do You Solve a Partially Decoupled System of Differential Equations?

What is a partially decoupled system?

A partially decoupled system is a system that consists of two or more subsystems that are partially connected, but also have some level of independence. This means that while the subsystems are interconnected and affect each other, they can still function and be analyzed separately.

What are the benefits of using a partially decoupled system in scientific research?

One of the main benefits of using a partially decoupled system in scientific research is that it allows for more specific and targeted analysis of individual subsystems. This can lead to a better understanding of the overall system and its behaviors. Additionally, it can help reduce complexity and make it easier to study and manipulate certain aspects of the system.

How is a partially decoupled system different from a fully decoupled system?

A partially decoupled system differs from a fully decoupled system in that the subsystems are not completely independent. In a fully decoupled system, the subsystems are completely separated and do not interact with each other at all. In a partially decoupled system, there is still some level of interaction and dependence between the subsystems.

What are some real-world examples of partially decoupled systems?

One example of a partially decoupled system is the human body. The different systems and organs, such as the respiratory, cardiovascular, and nervous systems, are all interconnected and affect each other, but can also be studied separately. Another example is a car, where the engine, transmission, and wheels are all interconnected but can also function and be analyzed separately.

What are some challenges of working with a partially decoupled system?

One challenge of working with a partially decoupled system is determining the level of coupling and independence between the subsystems. It can also be difficult to accurately model and simulate the behavior of the overall system based on the behaviors of the individual subsystems. Additionally, there may be limitations in the types of analysis and experiments that can be performed on a partially decoupled system.

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