PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 27, 2026Symmetry0 citationsOpen Access

Lie Symmetries and Invariants of General Time-Dependent Quadratic Hamiltonian System

View Full Paper
KYKyu Hwang YeonVPVăn Huy PhạmKRKeun Ho Ryu

Key Points

  • This research aims to explore the Lie symmetries and invariants of general time-dependent quadratic Hamiltonian systems.
  • Identified eight Lie algebras of point-symmetric groups related to equations of motion.
  • Derived invariant quantities including the Wronskian constant and three time-dependent quadratic forms in position and momentum.
  • Defined invariant variables related to oscillatory and monotonic motion.
  • Eight types of invariant quantities were identified, including specific conserved quantities.
  • For oscillatory motion, the Poisson bracket of two invariant variables equals i; for monotonic motion, it equals 1.
  • All invariant quantities were represented through auxiliary conditions from homogeneous differential equations.

Abstract

Eight Lie algebras of point-symmetric groups and corresponding generators are admitted by the equation of motion, which is obtained from a general time-dependent quadratic Hamiltonian. We show that invariant quantities obtained by eight algebraic generators are the Wronskian constant, three conserved quantities, which are time-dependent quadratic forms in position and momentum, and trivial, 0. All obtained invariant quantities are represented by auxiliary conditions, which are two linearly independent solutions of a homogeneous differential equation of the equations of motion. Invariant variables associated with an invariant consisting of the linearity of x and p are defined. It shows that, if the motion of the system is oscillatory, the Poisson bracket of the two invariant variables is obtained as i, and in the case of monotonic motion, it is obtained as 1.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Yeon et al. (2026) studied this question.

synapsesocial.com/papers/6a168a640c924ddd1bd591e2https://doi.org/10.3390/sym18060880
Ask AI
Helpful
Bookmark
Share
View Full Paper