Vortex cusps
Volker Elling
Academia Sinica (Taipei)
Motivation Incompressible 2d Euler:
ωt + v · ∇ω = 0 , ∇ · v = 0 , ω = ∇ × v Initial data
ω(t = 0, x) = |x|−1/µ˚ω(∡x)
Thm [E., Comm. Math. Phys. 2016]: existence of selfsimilar solutions with ω algebraic spiral patterns, if
1. dominant sign: R02π˚ω 6= 0
2. sufficiently high periodicity: ˚ω 2π/N -periodic with N ≫ 1 +
+ +
+ -
- -
-
t = 0 t > 0 t ≫ 0 t ≫ 0
What if neither sign dominates?
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Vorticity generation: Mach reflection From smooth initial data!
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Simple special case
N vortex-sheet pairs, equal angles between center lines
N = 4
t = 0
ω < 0 ω > 0
at infinity
t = 1
Angle
t ≫ 1
Limit: pair angle at infinity small Self-similar: µ similarity exponent,
dx ∼ tµ
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Self-similarity (Euler):
0 = ωt + v · ∇ω , 0 = ∇ · v , ω = ∇ × v Initial data ω(t = 0, x) = |x|−1/µ˚ω(∡x). Ansatz:
ω(t, x) = t−1ω(t−µx) , v(t,x) = tµ−1v(t−µx) Selfsimilar incompressible Euler:
0 = (v − µx
| {z }
=q
) · ∇ω − ω = ∇ · (v − µx
| {z }
=q
)ω + (2µ − 1)ω q pseudo-velocity: along it ω smoother than transversally
0 = ∇ · v ⇔ −2µ = ∇ · q
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Biot-Savart law Circulation: Γ(B) =
I
∂B v · dx =
Z
B ω dx dy
∂B Z′
Z = x+iy, V = vx−ivy
∇ · v = 0
∇ × v = ω ⇒ V (Z) = 1 2πi
Z
dΓ(Z′)
z }| {
ω(Z′)dx dy Z − Z′ Point vortex: V (Z) = Γ
2πi(Z − Z′) ∼ 1 r
v = (+κ/2, 0) Vortex sheet
v = (−κ/2, 0) Straight uniform vortex sheet:
← infinitesimal point vortices on line, equal spacing dx, equal dΓ = κ dx
V (Z) =
−κ/2, y = Im Z > 0 +κ/2, Im Z < 0
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Cusp approximation: horizontal part
Γ(x) = RC ω(x)dx, C ccw loop enclosing upper sheet from 0 to x V (Z) = 1
2πi
Z Γx(x′)dx′ Z − Z′
ω(Z′) =
vx = 0 vAx = 0
graph(x 7→ ˆy(x))
graph(x 7→ −ˆy(x)) z
−Γx(x)δ(y + ˆy(x)) Γx(x)δ(y − ˆy(x))
vSx = 12Γx(x) vIx = Γx(x)
Γx(x′)δ(y′ − ˆy(x′))
−Γx(x′)δ(y′ + ˆy(x′)) Z′
Z′
Distant blue points have nearby red point mirror image with equal ω of opposite-sign → strong cancellation
Nearby parts dominate V integral Horizontal velocity vx = Re V :
vx(x, y) ≈ vIx(x) = Γx(x) inside vx(x, y) ≈ vSx(x) = 1
2Γx(x) on (upper) sheet
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Mass conservation
−2µ = ∇ · q , q · n = 0 at sheet (q = v − µx)
triangle mouth cusp
Integrate over any “cusp triangle”:
0 > −2µ · triangle area =
Z
upper,lower sides q · n
| {z }
=0
ds +
Z
mouth qx(x, y)dy Approximation has vx(x, y) ≈ vx(x) and hence
qx(x, y) ≈ qx(x) < 0 only consider solutions with
qIx < 0 , qIx → 0 as x ց 0
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Horizontal velocity modelling Selfsimilar vorticity equation:
S
y = 0 y = h A
I
(1 − 2µ)ω = (vx − µx)ω
x + (vy − µy)ω
y
(1−2µ)
Z h
0 ωdy = Z h
0 (vx−µx)ωdy
x+h(vy − µy)ωih
| {z 0}
=0
For small pair angle vy, vAx, ˆy → 0, but vx not. So:
ω = vxy − vyx ≈ −vyx ⇒ (1 − 2µ)
Z h
0 vyxdy = Z h
0 (vx − µx)vyxdy
x
= Z h
0
(vx)2 2
y − µ(xvx)ydy
x
(1 − 2µ)[vx]hy=0 = [1
2(vx)2 − µxvx]hy=0
x
vAx ≈ 0 no h⇒
only 0 (1 − 2µ)vIx = (vIx)2
2 − µxvIx
x
ODE for velocity vx = vIx(x) between sheets!
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Horizontal velocity approximation
(1 − 2µ)vIx = (vIx)2
2 − µxvIx
x ⇒ (1 − µ)vIx = (vIx − µx)∂xvIx vx(x) = xu(x) ⇒ − ∂u
∂ log x = u(u − 1) u − µ
• Conservation: qIx ր 0 at cusp x ց 0, so u = vIx/x = o(1x).
• Need qIx = vIx − µx < 0 everywhere, so u < µ.
• At x → ∞ need vx = o(x) (← “uniqueness”), so u = o(1).
• Analysis: get O(1/x) blowup as x ց 0, or u → µ and hence qx → 0 at finite x > 0 (no use), unless u → 0 or u → 1.
• u = 0 unstable for any µ > 12.
• u = 1: for µ < 1: unstable.
For µ = 1: u = 1 absent (cancels).
For µ > 1: u = 1 asy. stable nontrivial vx = x + o(x) solutions.
Conclusion: only for µ > 1 have useful solution:
vIx(x) = x + ... , vSx(x) = 1
2x + ... , qSx(x) = (1
2 − µ)x + ...
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Vertical velocity approximation 1: just zero
Assume vy inside and outside is tiny, can be neglected:
vSy ≈ 0
ODE: qS tangential to sheet graph ˆy, so yˆx = qSy
qSx = vSy − µˆy
vSx − µx ≈ 0 − µˆy
(12 − µ)x ⇒ (1
2 − µ)xˆyx ≈ −µˆy Solution:
ˆy = Cxµ/(µ−12) for x ≈ 0
Cusp exponent:
µ µ − 12
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vy approximation 2: non-horizontal sheet
Sheet tangent: (1, ˆyx)/q1 + ˆyx2. To first order in ˆy: tangent (1, ˆyx) (vx, vy) = −12vIx(1, ˆyx)
(vx, vy) = 12vIx(1, ˆyx) (vx, vy) = 12vIx(1, −ˆyx)
(vx, vy) = −12vIx(1, −ˆyx)
vAy ≈ −vIxˆyx , vSy ≈ −1
2vIxyˆx , vIy ≈ 0 ODE:
ˆyx = vSy − µˆy
vSx − µx ≈ −12xˆyx − µˆy
(12 − µ)x ⇒ (1 − µ)xˆyx ≈ −µˆy Cusp exponent:
µ µ − 1
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vy approximation 3: mass conservation
Inside vIx = x + ..., i.e. vxx = 1 + ..., so by vxx+ vyy = 0 get vyy = −1 + ..., hence using vy = 0 at y = 0 integration to y = ˆy yields
vy ≈ −ˆy on lower side of sheet Since v jump to upper side is tangential,
vy ≈ −ˆy − vIxˆyx ≈ −ˆy − xˆyx on upper side and averaging yields
vSy ≈ −ˆy − 1
2xˆyx on sheet (p.v.) ODE
yˆx = vSy − µˆy
vSx − µx ≈ −ˆy − 1
2xˆyx − µˆy(1
2 − µ)x (1 − µ)xˆyx = −(1 + µ)ˆy
Cusp exponent
µ + 1 µ − 1
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Numerics Use Birkhoff-Rott equation (⇔ Euler for smooth sheets):
Z = Z(Γ) , (1 − 2µ)ΓZΓ = V ∗ − µZ , V =
Z dΓ′
Z(Γ) − Z(Γ′) Derivative: by finite differences
Approximate graph ˆy by points, interpolate by polynomial segments
→ can evaluate Biot-Savart integrals
• Linear interpolation: Convergence to cusp with µ/(µ − 1) exponent (2nd approx). Not very stable especially as µ ց 1.
• Quadratic/cubic/... interpolation: convergence to (µ + 1)/(µ − 1) exponent cusp (3rd approx). More robust if oscillation avoided.
• Linear/higher mixed:
V (Z) = 1 2πi
Z ω(Z′)dx dy Z − Z′
Enough to use quadratic/higher for same z segment and mirror image, for rest can use linear
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Velocity field (zoom in):
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µ = 1.3, φ∞ = 10◦ numerics:
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Pseudo-velocity q:
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Increase φ∞ to 25◦:
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Increase φ∞ to 40◦:
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Increase to 80◦:
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Maximum cusp angle at infinity φ∞ Numerics:
µ φ∞
Spirals
Cusp
2.5 3 1.5 2
0.5 1 90 80 70 60 50 40 30 20 10 0
• for µ ր ∞, max angle ր 90◦
• for µ ց 1, max angle ց 0
• Cusp if µ > 1 and angle below max, otherwise: spirals
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µ = 1.3 with φ∞ = 80◦ solution:
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Rotate: solution for µ = 1.3 with φ∞ = 10◦, opposite circulation
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Concluding remarks
• “Most” vortex cusps appear to have asymptotics vx = x + ... , y = xˆ α + ... , α = µ + 1
µ − 1 as x ց 0
• No cusps unless µ > 1 and sufficiently small angles-at-infinity and positive (ccw) circulation on the upper (second in ccw direction) sheet! (= inner v points away from cusp.)
Single Mach reflection does produce such circulation.
• For larger angles, µ ≤ 1, or negative circulation: numerics sug- gest non-cusp flows with algebraic spiral ends.
• µ = 1 key (compressible) but borderline: may need to superim- pose harmonic strain flow to modify exponent.
• Low-order numerics not necessarily stable, yield wrong exponent.
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