Chapter II: Active Matter with Spatially Varying Transport Properties
2.4 Active Suspensions Confined by a Circular Wall
As another example of finite suspensions we consider a suspension confined by a circular or cylindrical container of radius π as described in Fig. 2.10. Transport properties changes abruptly atπ = Ξπ and we call the inner part (π < Ξπ ) region 1 and the outer part (Ξπ β€ π < π ) region 2. Again, the governing Smoluchowski equations (2.2)-(2.4), associated moment equations (2.5)-(2.8), and continuity of field variables and fluxes at the boundary of the two regions (π = Ξπ ) still apply.
The hard circular wall does not allow particles to pass through and the no-flux boundary condition πΒ· ππ =0 is applied atπ =π .
As in the previous example with planar walls the steady state analytical solution with the πΈ =0-closure can be easily obtained but it is not very elucidating and difficult to compute numerically. Again it is more instructive to perform a singular perturbation analysis with two boundary layers with the overall conservation of number density. The two boundary layers develop at the step change in the transport properties (π = Ξπ ) and at the wall (π = π ). The matched asymptotic expansion obtained by piecing together the two boundary layers is valid for the whole domain as long as the size of the suspension π is large compared to the boundary-layer thicknessπ(π·π/π).
r
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D
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R1, U
1Region 1 D
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R2, U
2Region 2
Figure 2.10: A schematic of a suspension of ABPs with an abrupt change in activity bounded by a circular wall of radius π . In regions 1 (π < Ξπ ; 0 < Ξ < 1) and 2 (Ξπ β€ π < π ) the ABPs have swim speedsππ, translational diffusivities π·π π, and rotational diffusivitiesπ·π π, where the subscriptπ (=1 or 2)represents the index of a region.
In order to describe the boundary layer atπ = Ξπ generated by the jump in transport properties, an infinite suspension with the same jump is considered β imagine the circular wall is removed from Fig. 2.10 and region 2 is everywhere outside the region 1 (Ξπ β€ π). For this infinite domain problem, all the equations and conditions remain the same except for the no-flux boundary condition at the wall.
Instead of the no-flux condition the suspension is now homogeneous and random far from the abrupt change atπ = Ξπ i.e. π2 βπβ
2 andπ2 β0asπ β β. The overall number density β¨πβ©is defined byβ«πΏ
0 β¨πβ©π ππ =β« Ξπ
0 π1π ππ+β« πΏ
Ξπ
π2π ππas πΏ β β and thereforeβ¨πβ©=πβ
2. The steady state analytical solution is easily obtained with theπΈ=0-closure:
π1 πβ
2
=1 + (π1βπ2) πΞπ
h
πΎ1[πΌ0(π1π) βπΌ0(π·1)]πΎ1(π·2) β πΎ2πΌ1(π·1)πΎ0(π2Ξπ )i , (2.37) π2
πβ
2
=1 β (π1βπ2) πΞπ
πΎ2πΌ1(π·1)πΎ0(π2π), (2.38)
π1,π πβ
2
= (π1βπ2) πΞπ
πΎ1(π·2)πΌ1(π1π) , (2.39) π2,π
πβ
2
= (π1βπ2) πΞπ
πΌ1(π·1)πΎ1(π2π) , (2.40) where
πΞπ = π 2
π1 πΎ1
πΎ1(π·2) (πΌ0(π·1) +πΌ2(π·1)) + π 2
π2 πΎ2
πΌ1(π·1) (πΎ0(π·2) +πΎ2(π·2)) + (π1βπ2)πΎ2πΌ1(π·1)πΎ0(π·2),
(2.41)
π·π=ππΞπ . (2.42)
Here,πΌ0,1,2andπΎ0,1,2are modified Bessel functions of the first and second kinds and ππandπΎπ are defined by eqs. (2.30) and (2.31). We note that even with the circular geometry the analytical solution (2.37)-(2.42) again predicts that the number density is governed by the swim speed differenceπ1βπ2 regardless other parameters β the suspension is homogeneous if the swim speed does not vary. It is also notable that the simple result ππ = constant is recovered for the circular geometry when activity is high (ππ β« 1) and region 1 is sufficiently large (Ξπ β« π βΌπ(π·π/π)) by using the leading order asymptotic expansions of the modified Bessel functions, πΌ(π₯) βΌ ππ₯/β
2ππ₯andπΎ(π₯) βΌπβπ₯/4 asπ₯β β:
π1(0) πβ
2
=1 + (π1βπ2) πΞπ
h
πΎ1[1βπΌ0(π·1)]πΎ1(π·2) β πΎ2πΌ1(π·1)πΎ0(π2Ξπ ) i
β π2 π1 .
(2.43) Another boundary layer at the circular wall has been described by Yan and Brady [15]
to leading order. Piecing the two boundary layers together, the matched asymptotic expansion gives an analytic solution that is valid for all positions in the circular domain:
π1 πππ’π π
2
=1 + (π1βπ2) πΞπ
h
πΎ1[πΌ0(π1π) βπΌ0(π·1)]πΎ1(π·2) β πΎ2πΌ1(π·1)πΎ0(π2Ξπ ) i
, (2.44) π2
πππ’π π
2
=1 β (π1βπ2) πΞπ
πΎ2πΌ1(π·1)πΎ0(π2π) + 1 πΞπ ,2
(πΌ0(π2π) β1) , (2.45) π1,π
πππ’π π
2
= (π1βπ2) πΞπ
πΎ1(π·2)πΌ1(π1π) , (2.46) π2,π
πππ’π π
2
= (π1βπ2) πΞπ
πΌ1(π·1)πΎ1(π2π) + 1 πΎ2πΞπ ,2
πΌ1(π2π), (2.47)
0 0.5 1 -0.5
0 0.5 1
Region 1 Region 2
0 0.5 1
-0.2 -0.1 0
0.1 Region 1 Region 2
0 0.5 1
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Region 1 Region 2
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(a) (b)
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100 120 140 160 180 200
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100 120 140 160 180 200
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300 320 340 360 380 400
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P e1
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0 1 2 3
Figure 2.11: (a) Number densities, (b) polar orders, and (c) nematic orders of ABPs confined by a circular wall when transport properties abruptly changes at π =π /2. The number densities and polar orders are scaled with the overall number density β¨πβ© and the nematic orders are scaled with the local number densities:
ππ π/π = β¨π2
πβ© β1/2. Markers are BD simulations and lines are analytic solutions obtained by a singular perturbation analysis ((2.44)-(2.48)). In all cases, the two regions have the same translational and rotational diffusivities, but the swim speeds differ: ππ1/ππ2 = (π1/π2)2. The coordinate π is scaled with the radius of the containerπ , which is 25 times longer than the microscopic length scaleπΏ =β
π·πππ .
where
πΞπ ,2=1 + 1 2
π(πβ1) ππ2
β1
πΌ0(π·2) + 1 2
π(πβ1) ππ2
+1
πΌ2(π·2) . (2.48) The bulk number density in region 2πππ’π π
2 is determined by the overall conservation of the number densityβ¨πβ©π 2/2=β«Ξπ
0 π1π ππ+β« π Ξπ
π2π ππ.
A comparison of the singular perturbation solution and BD simulations is shown in Fig. 2.11. The number density is always lower in the region with the faster swim speed and the polar order develops toward the region with the slower swim
speed. We once again note that the slight discrepancy in the number density at high ππ = 102 results from the πΈ=0-closure used to describe the boundary layers not from the singular perturbation analysis. The singular perturbation solution is valid as long as the sizes of the two regions are larger than the boundary-layer thickness:
Ξπ β« π·π1/π1and(1βΞ)π β« π·π2/π2. When the activity is high (ππ > 102) the accuracy can be improved by accounting for the nematic field associated with rapid changes of the number density and polar order inside the boundary layers [15].
2.5 Transient Behavior of Microswimmers with Abrupt Variation in Activity