Problem in finding relationship of ordinary differential equ

In summary: To find the relationship between N(t) and S(t), we just need to solve for P(t) in terms of N(t) and plug it into equation (2).In summary, the conversation discusses the derivation of equations for the relationship between the total laser power P(t), energy stored in the laser medium S(t), and number of photons in the laser cavity N(t). Through the use of conservation of energy and the definitions of S(t) and N(t), an equation is derived for the relationship between N(t) and S(t). The last part of the conversation discusses finding the relationship between N(t) and S(t) by solving for P(t) in terms of N(t) and plugging it into the equation for S(t).
  • #1
thavamaran
42
0
Hi guys, I am currently working on a set of non-linear ordinary differential equation which is my laser model. Attached is the equations and respective derivation.

I need to find the relationship between N(t) and S(t). At equation (5), if I could find the relationship between this equation to be zero, then I could directly find the N(t) and S(t) relationship. There is relationship between \tau n and \tau p because the theory behind this equations are conservation of energy and definitely there is a relationship between them. Can anyone please advice me on how to solve this final part. Thank you very much!
 

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  • #2
Let's start by introducing some notation. We'll let P(t) denote the total laser power at time t, S(t) denote the energy stored in the laser medium at time t, and N(t) denote the number of photons in the laser cavity at time t.Now, we can derive equations for how P(t), S(t), and N(t) change over time. From conservation of energy, we know thatP(t) = \frac{dS}{dt} + \frac{dN}{dt} (1)From the definition of S(t), we know thatS(t) = \frac{1}{2} \int_0^t P(\tau) d\tau (2)And from the definition of N(t), we know thatN(t) = \int_0^t \frac{1}{\tau_n} P(\tau) e^{-\frac{\tau}{\tau_n}} d\tau (3)where \tau_n is the lifetime of a photon in the cavity.We can use equations (1)-(3) to derive an equation for the relationship between N(t) and S(t). Taking the derivative of equation (2) with respect to t gives us\frac{dS}{dt} = P(t) (4)Substituting equation (4) into equation (1) yields\frac{dN}{dt} = P(t) - \frac{dS}{dt} = P(t) - P(t) = 0 (5)So, equation (5) tells us that the relationship between N(t) and S(t) is that they are both equal to the total laser power P(t).
 

1. What is an ordinary differential equation (ODE)?

An ordinary differential equation is a mathematical equation that describes the relationship between a function and its derivatives. It involves one independent variable and one or more dependent variables, and the derivatives represent the rate of change of the dependent variables with respect to the independent variable.

2. Why is it difficult to find the relationship of an ODE?

ODEs are often difficult to solve because they can have complex and non-linear relationships between the variables. Additionally, there may not be a known analytical solution for the specific ODE being studied, requiring numerical methods to find an approximate solution.

3. What are some common techniques used to solve ODEs?

Some common techniques for solving ODEs include separation of variables, integrating factors, and series solutions. Numerical methods such as Euler's method, Runge-Kutta methods, and finite difference methods are also commonly used.

4. How does the complexity of an ODE affect the difficulty of finding its relationship?

The complexity of an ODE can greatly affect the difficulty of finding its relationship. ODEs with non-linear relationships and/or higher-order derivatives can be much more challenging to solve compared to simple and linear ODEs. Additionally, the boundary conditions and initial conditions of the ODE can also affect the complexity and difficulty of finding its relationship.

5. What are some real-world applications of ODEs?

ODEs are used in a wide range of scientific fields, including physics, engineering, biology, and economics. They are commonly used to model and understand dynamic systems, such as population growth, chemical reactions, and electric circuits. ODEs are also essential in the development of mathematical models for predicting and analyzing real-world phenomena.

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