How does Velocity Verlet integration improve accuracy in modeling fast dynamics?

Click For Summary
Velocity Verlet integration improves accuracy in modeling fast dynamics by integrating both velocity and position simultaneously, resulting in higher precision for velocity calculations. Unlike traditional Verlet integration, which computes velocity post-integration and incurs O(Δt²) errors, Velocity Verlet achieves O(Δt³) accuracy. This method is particularly useful in scenarios where higher-order techniques like RK4 may not be suitable due to the need for matching integration frequencies with fast dynamics. The discussion highlights the importance of using appropriate integration techniques based on the dynamics being modeled. Overall, Velocity Verlet integration is a valuable tool for enhancing the accuracy of simulations in fast dynamic systems.
squid
Messages
14
Reaction score
0
Hi!
Could anyone explain me why Velocity Verlet integration works and how did Loup Verlet come up with it?

Thanks!
 
Physics news on Phys.org
I saw that too. Links from that page suggest that "Velocity Verlet" integration is somewhat different from "Verlet integration".

EDIT

Found it http://www.ch.embnet.org/MD_tutorial/pages/MD.Part1.html". Velocity Verlet integration integrates velocity as well as position via a modified Euler scheme:
v(t+\Delta t) = v(t) + \frac 1 2 (a(t)+a(t+\Delta t))\Delta t

Plain Jane Verlet integration computes velocity post-integration, resulting in O(\Delta t^2) velocity errors. The Velocity Verlet integration yields O(\Delta t^3) accuracy for velocity.

/EDIT

We typically use higher-order propagation techniques to achieve a high level of accuracy. It's pretty hard to beat good old RK4 in a regime where the integration frequency has to match the thruster control frequency (10 to 100 Hz or so) while the orbital dynamics operate at a much slower frequency.

However, we sometimes need to revert to lower order techniques to model flex (very fast dynamics). This technique and related ones (e.g., http://en.wikipedia.org/wiki/Beeman%27s_algorithm" ) look very promising.

Thanks to the OP.
 
Last edited by a moderator:
For simple comparison, I think the same thought process can be followed as a block slides down a hill, - for block down hill, simple starting PE of mgh to final max KE 0.5mv^2 - comparing PE1 to max KE2 would result in finding the work friction did through the process. efficiency is just 100*KE2/PE1. If a mousetrap car travels along a flat surface, a starting PE of 0.5 k th^2 can be measured and maximum velocity of the car can also be measured. If energy efficiency is defined by...

Similar threads

  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K
Replies
1
Views
1K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 55 ·
2
Replies
55
Views
20K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 60 ·
3
Replies
60
Views
5K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K