Klas Modin PRO
Mathematician at Chalmers University of Technology and the University of Gothenburg
Isospectral flows and a Casimir preserving scheme for long-time simulation of 2D hydrodynamics
Klas Modin
Collaborator: Milo Viviani
Euler equations of ideal hydrodynamics
v˙+∇vv=−∇p
\dot v + \nabla_v v = -\nabla p
divv=0
\operatorname{div} v = 0
Leonhard Euler
Make sense on any Riemannian manifold
What is the generic
long-time behaviour?
3D
Nothing known, not even existence (related to Millenium problem)
Some things known:
inverse energy cascade
[Kraichnan 1967]
Various hypotheses based on statistical mechanics
2D
Motivation
Holy grail of 2D incompressible hydrodynamics:
- Inner workings of the inverse energy cascade
- Long-time behavior of mean-flow condensates
Zonal jet and vortex structures on Jupiter
Copyright: NASA, Cassini Imaging Team
Vorticity formulation
v˙+∇vv=−∇p
\dot v + \nabla_v v = -\nabla p
divv=0
\operatorname{div} v = 0
ω˙+{ω,ψ}=0
\dot\omega + \{\omega,\psi \} = 0
Δψ=ω
\Delta\psi = \omega
v=∇⊥ψ
v = \nabla^\bot\psi
Apply curl to
ω˙+Lvω=0
\dot\omega + L_v\omega = 0
Vorticity ω transported along v
Point-vortex dynamics (PVD):
invariant set of weak solutions
ω=k=1∑Npkδqk
\displaystyle\omega = \sum_{k=1}^N p_k \delta_{q^k}
Conservation of Casimirs
Cf(ω)=∫f(ω)
\displaystyle \mathcal C_f(\omega) = \int f(\omega)
Statistical mechanics theories for 2D Euler
Idea by Onsager (1949):
- Approximate ω by PV for large N
- Find invariant measure and presume ergodicity
Miller (1990) and Robert & Sommeria (1991): (MRS)
- Minimize microcanonical entropy under energy and Casimir constraints
Predicts equilibrium of large-scale vortex structures
Is the MRS prediction correct?
No!
2D Euler equations are not ergodic
...but perhaps MRS is "generically" correct
Flow ergodic except at "KAM islands"
Poincaré section of finite dimensional Hamiltonian system
Test MRS theory: a problem
for geometric integration
We need to:
- Run long simulations
- Preserve the Casimirs
(energy + enstrophy alone not enough) - Preserve the Lie-Poisson structure
(criterion in MRS)
On T2 such discretization exists (sine-bracket)
[Zeitlin 1991, McLachlan 1993]
based on quantization theory by Hoppe (1989)
Numerical simulations support MRS on T2
[Abramov & Majda 2003]
The torus is not a sphere
MRS generally assumed valid also on S2
However, non-structure preserving simulations by Dritschel, Qi, & Marston (2015) contradict MRS on S2
DQM simulation yield persistent unsteadiness
Our mission: construct trustworthy discretization on S2
2D Euler to isospectral flow via Berezin-Toeplitz quantization
C∞(M)∋f↦TfN∈gN
C^\infty(M)\ni f \mapsto T^N_f \in \mathfrak{g}_N
Exists if M compact quantizable Kähler manifold
Idea: approximate Poisson algebra with matrix algebras
{f,g}→[TfN,TgN]N→∞
\{f,g\} \to [T^N_f,T^N_g] \quad N\to\infty
ω˙={Δ−1ω,ω}
\displaystyle\dot \omega = \left\{\Delta^{-1}\omega,\omega \right\}
W˙=[ΔN−1W,W]
\displaystyle\dot W = [\Delta_N^{-1}W,W]
From 2D Euler
To isospectral
ω↦W
\omega \mapsto W
Lie-Poisson isospectral flows
W˙=[B(W),W]
\dot W = [B(W),W]
Let B:g→g
isospectral flow
Analytic function f yields first integral
Cf(W):=tr(f(W))
C_f(W) := \mathrm{tr}(f(W))
Casimir function
Hamiltonian case
B(W)=∇H(W)†
B(W) = \nabla H(W)^\dagger
Hamiltonian function
Note: Non-canonical Poisson structure (Lie-Poisson)
Explicit B-T quantization on S2
C∞(S2)∋ω↦W∈su(N)
C^\infty(\mathbb S^2)\ni \omega\mapsto W \in \mathfrak{su}(N)
[Hoppe, 1989]
- Express ω in spherical harmonics expansion ω=l=1∑∞m=−l∑lωlmYlm
- Truncate at lmax=N−1
- For fixed m, linear map between (ωlm)l=1N−m) and m:th diagonal of W
- Gives N linear maps
Complicated coefficients, expressed by Wigner 3-j symbols of very high order
~2 weeks to compute coefficients for N=1025
Discrete S2 Laplacian on su(N)
- "Magic" formula [Hoppe & Yau, 1998]
ΔNW=2N2−1([XN,[XN,W]]−21[X+N,[X−N,W]]−21[X−N,[X+N,W]])
banded matrices
W˙=[ΔN−1W,W]
\displaystyle\dot W = [\Delta_N^{-1}W,W]
Recall
What is ΔN and how compute ΔN−1W ?
(Naive approach requires O(N3) operations with large constant)
O(N2) operations
- ΔN admits sparse LU-factorization with O(N2 non-zeros
Spatial discretization obtained!
W˙=[ΔN−1W,W]
\displaystyle \dot W = [\Delta_N^{-1}W,W]
Note: corresponds to
N2 spherical harmonics
O(N2) operations
O(N3) operations
Isospectral flow ⇒ discrete Casimirs
CfN(W)=tr(f(W))
\displaystyle C^N_f(W) = \operatorname{tr}(f(W))
Time discretization
Aim: numerical integrator that is
-
isospectral, Wk→Wk+1 an isospectral map
necessary to preserve Casimirs
-
symplectic, Wk→Wk+1 a Lie-Poisson map su(N)∗→su(N)∗
necessary to (nearly) preserve energy and phase space structure
What about symplectic Runge-Kutta methods (SRK)?
- Not Lie-Poisson preserving!
- Not isospectral!
Isospectral Symplectic
Runge-Kutta methods
[M. & Viviani 2019]
W˙=[B(W),W]
\dot W = [B(W),W]
Given s-stage Butcher tableau (aij,bi) for SRK
XiYiKijW~iWk+1=−(Wn+j=1∑saijXj)hB(W~i)=hB(W~i)(Wk+j=1∑saijYj=hB(W~i)(j′=1∑s(aij′Xj′+ajj′Kij′))=Wk+j=1∑saij(Xj+Yj+Kij=Wk+i=1∑s[hB(W~i),W~i]
\begin{aligned}
X_i &= - (W_n + \sum_{j=1}^s a_{ij}X_j)h B(\tilde W_i) \\
Y_i &= hB(\tilde W_i)(W_k + \sum_{j=1}^sa_{ij}Y_j \\
K_{ij} &= h B(\tilde W_i)(\sum_{j'=1}^s(a_{ij'}X_{j'}+a_{jj'}K_{ij'})) \\
\tilde W_i &= W_k + \sum_{j=1}^s a_{ij}(X_j + Y_j + K_{ij} \\
W_{k+1} &= W_k + \sum_{i=1}^s [hB(\tilde W_i),\tilde W_i]
\end{aligned}
Theorem: method is isospectral and Lie-Poisson preserving on any reductive Lie algebra
Numerical results
Same initial conditions as Dritschel, Qi, & Marston (2015)
N=501
Let's run it fast...
Strong numerical evidence against MRS!
Alignment with
point-vortex dynamics
Other initial conditions
What are "generic" initial conditions?
Our interpretation: sample from Gaussian random fields on H1(S2)
Non-zero angular momentum
N=501
Mechanism for long-time behaviour
Observation: large scale motion quasiperiodic
Assumptions for new mechanism:
- Small formations merge to larger (inverse energy cascade)
- Well-separated blobs interact approximately by PVD
- Dynamics is not integrable ⇒ blobs continue to merge
- k-PVD integrable ⇒ quasi-periodicity prevents further mixing
Integrability of PVD on S2
Known since long: k-PVD integrable for k≤3
What about the 4-blob formations?
4-PVD on S2 non-integrable in general, but integrable for zero-momentum [Sakajo 2007]
Aref (2007) on PVD:
"a classical mathematics playground"
"many strands of classical mathematical physics come together"
Predictions for Euler on S2
For generic initial conditions:
- Momentum small ⇒ 4-PVD is KAM-integrable ⇒ expect 4 non-steady vortex blobs
- Momentum intermediate ⇒ 3-PVD is integrable ⇒ expect 3 non-steady vortex blobs
- Momentum large ⇒ expect 2 large and 1 small vortex blobs
What's next?
- Estimates on vortex blob dynamics vs. PVD
[Caglioti, Lions, Marchioro, Pulvirenti, ...] - Quasi-periodic Euler solutions as perturbations of integrable PDE, infinite-dim KAM theory
[Kuksin, ...] - Quantization as approach to "weak diffeomorphisms"
- Rotating case (Coriolis parameters)
- ...
- Convergence of the model
Conjecture [M. & Viviani, 2020]
Fixed interval [0,T], constant C=C(T,ω0) s.t. sup∣ω(t,⋅)−TN−1(WN(t)∣≤C/N
Thank you!
M. & Viviani
A Casimir preserving scheme for long-time simulation of spherical ideal hydrodynamics
J. Fluid Mech., vol. 884, 2020
- Slides at slides.com/kmodin
- Videos at bitbucket.org/kmodin/euler-sphere-quantization
Isospectral flows and a Casimir preserving scheme for long-time simulation of 2D hydrodynamics Klas Modin
Isospectral flows and a Casimir preserving scheme for long-time simulation of 2D hydrodynamics
By Klas Modin
Isospectral flows and a Casimir preserving scheme for long-time simulation of 2D hydrodynamics
Presentation given 2020-02 at PCTS in Princeton. This presentation is more technical than the one given in Bonn.
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