How can the stability of an ODE system be determined without solving it?

In summary, the conversation discusses solving a periodic ODE system using a technique that does not take into account the time-varying nature of the matrix. It is suggested that finding the actual solution integrated over a period and using the time-ordered exponential can show stability of the system.
  • #1
member 428835
Hi PF!

Given the ODE system ##x'(t) = A(t) x(t)## where ##x## is a vector and ##A## a square matrix periodic, so that ##A(t) = A(T+t)##, would the following be a good way to solve the system's stability: fix ##t^*##. Then

$$
\int \frac{1}{x} \, dx = \int A(t^*) \, dt \implies\\

x(t) = x(0)\exp\left( A(t^*)t \right).
$$

The eigenvalues of ##A(t^*)## determine the system's stability, but by fixing ##t##, this approach assumes ##A(t)## is approximately constant for ##t##, which may not be the case. What do you think?
 
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  • #2
No. You essentially assumed that A is constant and even if it is you cannot divide by a vector.
 
  • #3
Orodruin said:
No. You essentially assumed that A is constant and even if it is you cannot divide by a vector.
So this technique cannot be used to determine stability of a periodic function? I know solutions won't always work, but you think this fails in general for stability for aforementioned reasons?
 
  • #4
You need to find the actual solution integrated over a period, which will be on the form ##x(t+T) = S x(t)##. The eigenvalues of ##S## will determine the stability.
 
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  • #5
Orodruin said:
You need to find the actual solution integrated over a period, which will be on the form ##x(t+T) = S x(t)##. The eigenvalues of ##S## will determine the stability.
So you're saying something like ##B = \int_0^T A(t) \, dt## and then solve ##x' = B x##?
 
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  • #6
joshmccraney said:
So you're saying something like ##B = \int_0^T A(t) \, dt## and then solve ##x' = B x##?
No, that will not solve the differential equation. You need the time-ordered exponential.
 
  • #7
Orodruin said:
No, that will not solve the differential equation. You need the time-ordered exponential.
Not solve, but show stability? I think you'll still say no, and thanks for the reply! :oldbiggrin:
 
  • #8
joshmccraney said:
Not solve, but show stability? I think you'll still say no, and thanks for the reply! :oldbiggrin:
It will not be easy, but you need to solve ##x'(t) = A(t) x(t), \; 0 \leq t \leq T## for given ##x(0)## You can express the vector ##x(T)## as some linear transformation of ##x(0),## that is, ##x(T) = B x(0)## for some matrix ##B## that you can determine numerically. Stability issues involve ##B##.
 

1. What is an ODE system?

An ODE (ordinary differential equation) system is a set of equations that describe the relationship between a dependent variable and one or more independent variables, and their respective rates of change. These equations are typically used to model dynamic systems in various scientific fields.

2. What is a solution technique for ODE systems?

A solution technique for ODE systems is a method used to find the values of the dependent variable(s) at different points in time, based on the given equations and initial conditions. Some common solution techniques include analytical solutions, numerical methods, and computer simulations.

3. What is the difference between analytical and numerical solutions for ODE systems?

Analytical solutions involve finding an exact mathematical expression for the dependent variable(s) as a function of the independent variable(s). Numerical solutions, on the other hand, involve approximating the values of the dependent variable(s) at specific points in time using algorithms and calculations.

4. What are some common numerical methods for solving ODE systems?

Some common numerical methods for solving ODE systems include Euler's method, Runge-Kutta methods, and the finite difference method. These methods use a step-by-step approach to approximate the values of the dependent variable(s) at different points in time.

5. How are ODE systems used in scientific research?

ODE systems are used in scientific research to model and study various dynamic systems, such as chemical reactions, population growth, and climate change. They provide a mathematical framework for understanding the behavior and interactions of these systems over time, and can help predict future outcomes and inform decision-making.

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