- #1
Dustinsfl
- 2,281
- 5
How can I extract time data from a system 2nd order ODEs in Mathematica?
Ackbach said:Can you post the ODE's and your Mathematica code so far?
Numerical Simulation of the 2-Body Problem
ClearAll["Global`*"];
We begin with of the the necessary data for this problem...
M = 5974*10^21; (* mass of Earth, kg *)
m = 1000; (* mass of spacecraft , kg *)
\[Mu] = 3.986*10^5; (* gravitaional parameter, based on km units of length, \
km/s for velocity *)
Rearth = 6378; (* radius of the Earth, km *)Simulation Inputs
r0 = {3950.55, 43197.9, 0};(* initial position vector, km *)
v0 = {3.3809, -7.25046, 0}; (* initial velocity vector, km *)
Days = 1/10; (* elapsed time of simulation days *)
\[CapitalDelta]t = Days*24*3600;(* convert elapsed days to seconds *)
s = NDSolve[
{
x1''[t] == -(\[Mu]/(Sqrt[x1[t]^2 + x2[t]^2 + x3[t]^2])^3)*x1[t],
x2''[t] == -(\[Mu]/(Sqrt[x1[t]^2 + x2[t]^2 + x3[t]^2])^3)*x2[t],
x3''[t] == -(\[Mu]/(Sqrt[x1[t]^2 + x2[t]^2 + x3[t]^2])^3)*x3[t],
x1[0] == r0[[1]], (* intial x-position of satellite *)
x2[0] == r0[[2]],(* intial y-position of satellite *)
x3[0] == r0[[3]],(* intial y-position of satellite *)
x1'[0] == v0[[1]],(* intial vx-rel of satellite *)
x2'[0] == v0[[2]],(* intial vy-rel of satellite *)
x3'[0] == v0[[3]](* intial vy-rel of satellite *)
},
{x1, x2, x3},
{t, 0, \[CapitalDelta]t}
];
Plot of the Trajectory Relative to Earth
g1 = ParametricPlot3D[
Evaluate[{x1[t], x2[t], x3[t]} /. s], {t, 0, \[CapitalDelta]t},
PlotStyle -> {Red, Thick}];
g2 = Graphics3D[{Blue, Opacity[0.6], Sphere[{0, 0, 0}, Rearth]}];Show[g2, g1, Boxed -> False]
A 2nd order ODE (ordinary differential equation) in Mathematica is an equation that involves a function, its first derivative, and its second derivative. It is a mathematical model used to describe a process or system in terms of rates of change.
Data from a 2nd order ODE in Mathematica is typically analyzed by plotting the solution to the equation, as well as examining the behavior of the solution at different values of the input variables. Other methods, such as numerical integration, can also be used to analyze the data.
Solving a 2nd order ODE in Mathematica allows for a deeper understanding of the underlying system or process being modeled. It also allows for the prediction of future behavior and the ability to manipulate the system through adjusting input variables.
Yes, a 2nd order ODE in Mathematica can be used for real-world applications in fields such as physics, engineering, and economics. It can be used to model and analyze a wide range of systems and processes, from simple harmonic motion to complex biological systems.
Some common techniques for solving a 2nd order ODE in Mathematica include separation of variables, variation of parameters, and using Laplace transforms. Numerical methods, such as Euler's method and Runge-Kutta methods, can also be used to approximate solutions to the equation.