The Nos\'e-Hoover, Dettmann, and Hoover-Holian Oscillators
William Graham Hoover, Julien Clinton Sprott, and Carol Griswold, Hoover

TL;DR
This paper explores the relationships among Nosé-Hoover, Dettmann, and Hoover-Holian oscillators, providing new proofs of their long-term energy behavior and linking mechanical models to Gibbsian statistical mechanics.
Contribution
It introduces new proofs for the long-time energy behavior of these oscillators and connects their dynamics to Hamiltonian mechanics and Gibbs' statistical mechanics.
Findings
Yang's trajectories cross the energy plane repeatedly
New proofs of long-time energy behavior
Stationary Gibbsian distribution for the Hoover-Holian oscillator
Abstract
To follow up recent work of Xiao-Song Yang on the Nos\'e-Hoover oscillator we consider Dettmann's harmonic oscillator, which relates Yang's ideas directly to Hamiltonian mechanics. We also use the Hoover-Holian oscillator to relate our mechanical studies to Gibbs' statistical mechanics. All three oscillators are described by a coordinate and a momentum . Additional control variables vary the energy. Dettmann's description includes a time-scaling variable , as does Nos\'e's original work. Time scaling controls the rates at which the variables change. The ergodic Hoover-Holian oscillator provides the stationary Gibbsian probability density for the time-scaling variable . Yang considered {\it qualitative} features of Nos\'e-Hoover dynamics. He showed that longtime Nos\'e-Hoover trajectories change energy, repeatedly crossing the plane.…
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Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · Neural Networks and Applications
The Nosé-Hoover, Dettmann, and Hoover-Holian Oscillators
William Graham Hoover, Ruby Valley Research Institute
601 Highway Contract 60, Ruby Valley, Nevada 89833;
Julien Clinton Sprott, Department of Physics
University of Wisconsin-Madison, Madison, Wisconsin 53706;
Carol Griswold Hoover, Ruby Valley Research Institute
601 Highway Contract 60, Ruby Valley, Nevada 89833
Abstract
To follow up recent work of Xiao-Song Yangb1 on the Nosé-Hoover oscillatorb2 ; b3 ; b4 ; b5 we consider Dettmann’s harmonic oscillatorb6 ; b7 , which relates Yang’s ideas directly to Hamiltonian mechanics. We also use the Hoover-Holian oscillatorb8 to relate our mechanical studies to Gibbs’ statistical mechanics. All three oscillators are described by a coordinate and a momentum . Additional control variables vary the energy. Dettmann’s description includes a time-scaling variable , as does Nosé’s original workb2 ; b3 . Time scaling controls the rates at which the variables change. The ergodic Hoover-Holian oscillator provides the stationary Gibbsian probability density for the time-scaling variable . Yang considered qualitative features of Nosé-Hoover dynamics. He showed that longtime Nosé-Hoover trajectories change energy, repeatedly crossing the plane. We use moments of the motion equations to give two new, different, and brief proofs of Yang’s long-time limiting result.
Nosé-Hoover Oscillator, Dettmann Oscillator, Hoover-Holian Oscillator, Nonlinear Dynamics
I Background
Nosé-Hoover dynamics was developed in 1984 as a side benefit of a Centre Européen de Calcul Atomique et Moléculaire (“CECAM”) Workshop on Constrained Dynamics organized by Carl Moser. The workshop was held at Orsay, about 20 miles southwest of Paris. Shuichi Nosé and Bill Hoover met by chance at the Orly airport a few days prior to the Orsay meeting and were able to spend several hours together near the Notre Dame cathedral, discussing Nosé’s recent work on the thermal control of molecular dynamics simulationsb2 ; b3 .
Seeking better to understand Nosé’s innovative work Hoover applied Nosé’s ideas to the one-dimensional harmonic oscillator problemb4 ; b5 ; b6 ; b7 ; b8 ; b9 ; b10 ; b11 ; b12 . He generated hundreds of solutions of the set of three ordinary differential equations using the fourth-order Runge-Kutta algorithm. The time-dependent variables are respectively the oscillator coordinate, momentum, and friction coefficient. Here are the three equations :
[TABLE]
Provided that the mean value of the friction coefficient is finite ( so that the longtime average of its time derivative, , vanishes ) the last equation implies that the mean oscillator temperature is unity for long times. Thus acts as a “thermostat”. Posch, Hoover, and Vesely explored the detailed nature of the oscillator solutionsb5 for a variety of response times . Wang and Yang extended this workb9 ; b10 and found, in addition to the known periodic, toroidal, and fat-fractal chaotic trajectories, additional periodic trajectories, and tori, in the form of knots ! The types of solutions found vary with and with the initial values of . In the present work we choose .
II Consequences of Time Scaling
In the Summer of 1996 Carl Dettmann discovered a vanishing Hamiltonian which precisely reproduces the time-dependence of the Nosé-Hoover flow where the Nosé-Hoover momentum becomes b6 ; b7 .
[TABLE]
[TABLE]
The “time-scaling variable” has the conjugate momentum . must be less than unity for to vanish. We select positive values, , in our numerical work. The various resulting flows can occupy one-, two-, or three-dimensional subspaces of the full stationary solution, the Gaussian function :
[TABLE]
With this Gaussian distribution known the normalized probability density for follows easily,
[TABLE]
Figure 1 compares this analytic distribution to a thousand-point histogram from a fourth-order Runge-Kutta solution of the ( ergodic ) Hoover-Holian oscillator equationsb8 :
[TABLE]
For the Figure and were initially unity and the two control variables were zero. Ten million timesteps, , were used. The stationary distribution for the Hoover-Holian equations is the four-dimensional Gaussian (2\pi)^{-2}\exp[\ (-q^{2}-p^{2}-\zeta^{2}-\xi^{2})/2\ ]\. Because the model is ergodic, covering the entire four-dimensional Gaussianb8 , we were able to use the three-dimensional Hoover-Holian subset data as a model for the stationary Dettmann distribution with determined from the condition . These numerical data, confirming our analytic work, are shown in Figure 1.
Following up his earlier investigations of oscillator trajectories ( including knotsb9 ; b10 ! ) Professor Xiao-Song Yang has recently proved that the oscillator motion, independent of the chosen initial conditions, must nearly always cross the planeb1 . Yang considered the Nosé-Hoover equations, which follow from Dettmann’s Hamiltonian with the replacement :
[TABLE]
The only situation in which the plane is not crossed repeatedly is an unstable straight-line portion of the axis :
[TABLE]
In the present work we first consider oscillator trajectories from the standpoint of the continuity equation in space. Because the Nosé-Hoover equations are not strictly Hamiltonian, except in the case discovered by Dettmann, the Nosé-Hoover flow is compressible – the three-dimensional divergence is locally nonzero, responding linearly to the control variable :
[TABLE]
Consider a longtime trajectory. Evidently a positive longtime average of would correspond to a vanishing of the comoving volume and a dimensionality loss. A negative average would correspond to divergence, a numerical instability. In fact, the continuity equation has been used to explain the fractal nature of chaotic flows with positive frictionb12 .
In space the continuity equation shows that the comoving volume element vanishes and can become fractal if the longtime-averaged control variable is positive. The volume diverges, and the simulation stops, if that averaged variable is negative. The motion equations for the oscillator, in either space or space, can also be used to prove Professor Yang’s zero-crossing result. We turn to that next.
III Proofs of Professor Yang’s Plane Result
Yang’s recent contributionb1 considers the three-variable Nosé-Hoover oscillator and shows algebraically that any longtime trajectory – other than the special constant unstable straight line – must repeatedly cross the plane. This is a handy result as the Poincaré sections at that plane are commonly used to diagnose the fractal character of nonlinear flows. Yang’s proof-of-crossing is relatively long, thirty pages, mainly algebra. Let us provide two simpler demonstrations of his result. Multiply the three motion equations by , , and respectively and compute their longtime averages in the usual way :
[TABLE]
Assume also that are finite ( so that their time derivatives average to zero ). The three Nosé-Hoover differential equations then give three identities:
[TABLE]
Combining the three shows that the mean value of vanishes, equivalent to Professor Yang’s result.
An even simpler demonstration follows from Nosé’s original Hamiltonianb2 ; b3 , , which gives a simple evolution equation for : . Because and are identical, as shown by Dettmann, the time-average of the equation shows directly (assuming numerical convergence of the motion) that the control variable has mean value zero, again implying Yang’s result.
IV An Afterword for Young Researchers
Lingering geometric and topological questions remain where the chaotic sea is concerned. The sea is an enduring paradoxical concept. Is it a set of three-dimensional points? Is it a continuum with holes here and there? Is it just a single chaotic trajectory? Is it an ill-defined limit? These questions remain at the research frontier. Let us have a look at the chaotic sea for the Nosé-Hoover oscillator.
Figure 2 shows cross-sections of the three-dimensional oscillator’s phase space showing about ten million crossings of the three planes where each of the variables vanishes. The fourfold symmetry of these sections reflects the time-reversibility of the motion equations as well as the fact that any solution implies the existence of a mirror-image solution , as well as .
For about six percent of the Gaussian distributionb13 appears to be a cohesive connected sea, penetrated by infinitely many regular orbits with zero Lyapunov exponents . These exponents describe the longtime average growth or decay rates of small perturbations. The boundary between points with a positive , charateristic of the sea, and points with all zero Lyapunov exponents is evidently murky and uncertain. The boundary region is likely fractal in the sense that in the neighborhood of any chaotic point in the sea there must be other points only a small distance away, located on periodic orbits of great length, well beyond our capacity to compute in any meaningful way.
The mathematics of such sets of points is confused through concepts related to Hilbert’s Hotel and the Banach-Tarski Theorem. Hilbert’s Hotel, with positive integer room numbers, is alway full ( with guests ) but with always an available room ( by moving customers from n to n+1 ). Similar mappings of points in two or three ( or many ) dimensional spaces enable the disection of a sphere into a finite number of pieces which can then be reassembled to make two spheres. This is an active field of mathematics at the moment. For a nicely illustrated description of the Banach-Tarski paradox see Reference 14.
V Acknowledgement
We thank Professor Xiao-Song Yang for useful email communications and the anonymous referee for several useful suggestions which have improved this manuscript.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1(1) X. S. Yang, “Qualitative Analysis of the Nosé-Hoover Oscillator”, Qualitative Theory of Dynamical Systems (submitted, 2019).
- 2(2) S. Nosé, “A Unified Formulation of the Constant Temperature Molecular Dynamics Methods”, The Journal of Chemical Physics 81 , 511-519 (1984).
- 3(3) S. Nosé, “A Molecular Dynamics Method for Simulations in the Canonical Ensemble”, Molecular Physics 52 , 255-268 (1984).
- 4(4) Wm. G. Hoover, “Canonical Dynamics. Equilibrium Phase-Space Distributions”, Physical Review A 31 , 1695-1697 ( 1985 ).
- 5(5) H. A. Posch, W. G. Hoover, and F. J. Vesely, “Canonical Dynamics of the Nosé Oscillator: Stability, Order, and Chaos”, Physical Review A 33 , 4253-4265 (1986).
- 6(6) W. G. Hoover, “Mécanique de Nonéquilibre à la Californienne”, Physica A 240 , 1-11 (1997).
- 7(7) C. P. Dettmann and G. P. Morriss, “Hamiltonian Reformulation and Pairing of Lyapunov Exponents for Nosé-Hoover Dynamics”, Physical Review E 55 , 3693-3696 (1997).
- 8(8) W. G. Hoover and B. L. Holian, “Kinetic Moments Method for the Canonical Ensemble Distribution”, Physics Letters A 211 , 253-257 (1996).
