Visualizing why Explicit Euler fails orbital mechanics
Hey everyone,
I wanted to share a quick visual look at a classic problem in computational astrophysics: choosing the right numerical integrator for N-body or orbital simulations.
It’s a great practical look at how truncation errors propagate. Standard Forward Euler projects along a straight line, introducing artificial energy that causes orbits to spiral outward and explode within a few iterations. On the flip side, the Implicit Euler method acts like artificial drag, collapsing the system.
I made a short, visually animated breakdown comparing how Symplectic Euler (which cancels out energy errors over time), Velocity Verlet, and 4th-order Runge-Kutta (RK4) maintain exact orbital energy profiles:
For those here who work on orbital modeling or N-body simulations, do you strictly use symplectic integrators to guarantee long-term energy conservation, or do you rely on high-order methods like RK4/RK7 with adaptive time stepping? #science