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Analytic theory of photoacoustic wave generation from a spheroidal droplet

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Abstract

In this paper, we develop an analytic theory for describing the photoacoustic wave generation from a spheroidal droplet and derive the first complete analytic solution. Our derivation is based on solving the photoacoustic Helmholtz equation in spheroidal coordinates with the separation-of-variables method. As the verification, besides carrying out the asymptotic analyses which recover the standard solutions for a sphere, an infinite cylinder and an infinite layer, we also confirm that the partial transmission and reflection model previously demonstrated for these three geometries still stands. We expect that this analytic solution will find broad practical uses in interpreting experiment results, considering that its building blocks, the spheroidal wave functions (SWFs), can be numerically calculated by the existing computer programs.

© 2014 Optical Society of America

1. Introduction

As fundamental problems in photoacoustics, the photoacoustic wave generation in one dimension from an infinite layer, in two dimensions from an infinite cylinder, and in three dimensions from a sphere have all been extensively studied [1] and their analytical solutions under the optically-thin-body condition are well-known [2,3]. The analytical solutions dutifully convey the characteristic spectral and temporal information embedded in the photoacoustic radiation, which are tightly correlated to the specific geometries of these bodies.

In this paper, we embark on the derivation of the complete analytic solution in three dimensions for a droplet with a more general shape other than sphere—a spheriodal droplet which can be either a prolate spheroid or an oblate spheroid. To the best of our knowledge, such theoretical investigation has not been taken account before. While such an analytic solution should be broadly applicable, we anticipate that it will first find important applications in biomedical photoacoustic imaging, considering the rapid progress in this research field to detect individual cells or organelles [48] and that these light absorbing biological capsules such as red blood cells and cell nuclei are close to spheroids in shape.

Our derivation is based on solving the photoacoustic Helmholtz equation by employing the separation-of-variables method in spheroidal coordinates. Working with the spheroidal coordinate systems (see Fig. 1, including the prolate spheroidal coordinate system and the oblate spheroidal coordinate system) is a natural choice because a spheroidal droplet can be fitted into such a typical coordinate system and the boundary conditions can be easily defined and applied. The resulted analytic formulas are expressed as the sum of a serials of SmnRmnwith the weighting coefficients to be determined by the boundary conditions, where Smn and Rmn are defined respectively as the angular and radial spheroidal wave functions (SWFs) [9].

 figure: Fig. 1

Fig. 1 Illustration of photoacoustic (PA) wave generation of a prolate spheroidal droplet or an oblate spheroidal droplet. In the left panel, on the top a prolate spheroid along with its prolate spheroidal coordinate system is plotted and at the bottom an oblate spheroid along with its oblate spheroidal coordinate system is plotted, where the two black dots represent the foci and the z-axis represents the revolution axis for each system. In the right panel. the three geometries, infinitely long cylinder, sphere, and infinitely large layer, represent respectively the asymptotic spheroids under the extreme conditions of infinite or zero interfocal distance. For these three geometries, the analytic solutions of the photoacoustic waves are well-known [13].

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The method of solving a Helmholtz equation in spheroidal coordinates has its roots in the problems of sound scattering as well as light scattering by a spheroidal particle [10,11], and these researches still undergo some updates [1215]. Due to the specific rotational symmetry of the oblate spheroidal coordinates, this method also incurs new applications in describing paraxial Gaussian-Laguerre laser beam [16,17] and in calculating the first-order correctness of Fabry-Perot-resonator eigenmodes [18]. We find that introducing this approach into photoacoustics is very attractive because only the m=0 modes S0nR0ncontribute to the analytic solution due to the fact that the photoacoustic wave generation does not depend on the laser incident direction relative to the spheroidal droplet under the conventional optically-thin-body assumption. This is contrary to the cases of sound or light scattering where this simplicity only exists in the axisymmetric solution when the sound or light incident direction is restricted to being along the rotational axis of the spheroid.

In order to validate the analytic solution we reached, we present two extended theoretical examinations. The first is the asymptotic analyses of the analytic solution under three extreme conditions: when the interfocal distance of a prolate spheroid and an oblate spheroid diminishes to zero, when the interfocal distance of a prolate spheroid stretches to infinity, and when the interfocal distance of an oblate spheroid expands to infinity. It is found that the analytic solution asymptotically degenerates respectively to the standard formulas for a sphere, an infinite cylinder and an infinite layer. The second is the decomposition analysis on the time domain solution from the perspective of photoacoustic wave partial transmission and reflections at the droplet boundary. We demonstrate that the photoacoustic pulse outside the spheroidal droplet can be decomposed to successively transmitted waves which experience multiple internal reflections before passing through the boundary, while the photoacoustic pulse formed inside can be decomposed to successively reflected waves plus the source terms. This type of decomposition is consistent with the physics picture previously revealed in the studies of the three special geometries [2].

Around these major interrogations, this paper is organized as follows. Section 2 details the derivation of the general solution, first in the frequency domain and then in the time domain. Section 3 then analyzes the asymptotic behaviors of the solution by using the asymptotic properties of angular and radial SWFs. Section 4 along with Appendix provides the proof for how to fit the time domain solution into the frame of the partial transmission and reflection model where the Wronskian relation of radial SWFs plays an essential role. Finally, Section 5 summarizes our major findings and also directs the future works.

2. General solution

The problem is to resolve the photoacoustic waves generated by a spheroidal droplet due to laser illumination, as illustrated in Fig. 1. The light absorbing droplet is either a prolate spheroid or an oblate spheroid which is immersed in a fluid absorbing little light. The laser beam can be in the form of intensity-modulated continuous wave (cw) or short pulse. Because of the laser heating, a temperature change and subsequently a pressure variation will be introduced both inside the droplet and in the surrounding fluid. Putting into formulas, this process is governed by the following two equations for nonviscous fluid [1]:

tT=κρCP2T+HρCP,
2p1v22t2p=αv22t2T,
where κ is the thermal conductivity, ρis the mass density, Cp is the specific heat capacity at constant pressure, H is the heat energy per unit volume and time deposited by the laser, v is the sound speed (Only the longitudinal sound speed is considered here since for nonvisous fluid the effect of the shear sound speed can be neglected.), and α is the pressure expansion coefficient at constant volume defined as α=(p/T)V. The pressure variation p is the photoacoustic (PA) wave. In Fig. 1, the photoacoustic wave outside of the droplet is shown.

Given that the thermal conduction term κρCP2T is usually small compared to tT, its effect can be neglected. This treatment is valid not only for the nanosecond laser pulse typically employed [19] but also for the cw laser with its modulation frequency in the ultrasound range [20]. Therefore, the photoacoustic wave functions of Eq. (1) and Eq. (2) can be reduced to [1]

2p1v22t2p=βCptH,
where β=(1/V)(V/T)p is the thermal expansion coefficient related to α as α=βρv2. To explicitly express that the laser heating happens only in the droplet and the sound speeds in the droplet and in the surrounding fluid are generally different, we divide Eq. (3) into
{2ps1vs22t2ps=βCpHt(insidethedroplet)2pf1vf22t2pf=0(outsidethedroplet)
where the subscript “s” denotes quantities of the spheroidal droplet while “f” denotes those of the surrounding fluid.

The solution of ps in Eq. (4) can be further divided into two parts:

ps=ps1+ps2,
where ps1 is the special solution for
1vs22t2ps1=βCpHt
and ps2 satisfies
2ps21vs22t2ps2=0.
This solving method is appropriate because the quantity of H is uniform across the whole droplet under the “optically-thin-body” assumption. This assumption also implies that the photoacoustic wave generation does not depend on the laser beam illumination angle relative the spheroidal droplet.

Since it is trivial to solve ps1 in Eq. (6), the problem is thus focused on to solve the two Helmholtz equations: one in Eq. (4) for pf, and the other Eq. (7) for ps2. We coin them together hereafter the “photoacoustic Helmholtz equation”.

2.1 Frequency domain solution

The frequency domain solution corresponds to the photoacoustic waves produced by a cw laser beam with the intensity function of I=I0eiωt where ω represents the intensity modulation frequency, under which the heating function His

H=εthμaI0eiωt
where μa represents the light absorption coefficient of the droplet, andεth the percentage of the absorbed light energy being converted to heat which takes account the possibility of other energy-consumption routes such as fluorescent emission.

The frequency domain solution of ps1 corresponding to Eq. (6) can be obtained easily by substituting Hof Eq. (8) into Eq. (6) and taking out the time dependent part eiωt, as

ps1(ω)p0=iεthμaβI0vs2ωCp.
To get the frequency domain solution of ps2 from Eq. (7) and pf from Eq. (4), the standard separation-of-variables method of solving a Helmholtz equation in spheroidal coordinates (ξ,η,ϕ) can be applied [9], resulting in
ps2(ω,ξ,η,ϕ)=p0m=0nmpmnsSmn({csics,η)Rmn(1)({cs,ξics,iξ)e±imϕ,
pf(ω,ξ,η,ϕ)=p0m=0nmpmnfSmn({cficf,η)Rmn(3)({cf,ξicf,iξ)e±imϕ.
Here the dimensionless variables cs and cf are defined as
cs=ωvsd2=k^sd2,andcf=ωvfd2=k^fd2
where d is the interfocal distance of the spheroid droplet (therefore the angular SWFs and radial SWFs all depend on ω), pmnsand pmnfare the weighting coefficients to be determined by applying boundary conditions. We have used the branch brackets to work as the denotation symbol to differentiate the variables in angular SWFs Smn and the radial SWFs Rmn(1) and Rmn(3) (where Rmn(1) are called the first kind and Rmn(3) the third kind) depending on whether these SWFs are considered in the prolate spheroidal coordinate system or in the oblate spheroidal coordinate system: when switching between the former system to the latter system, the replacements ofcic (c represents either of cs and cf) and ξiξ are needed. We will use this type of expression throughout this paper.

As plotted in Fig. 1, the boundary of the spheroidal droplet fits to a spheroidal surface with a constant ξ, i.e. ξ0. With the conventional notation of a and brespectively as the semi-major and semi-minor axes of the revolving ellipse that forms the spheroid, the expression for determining ξ0 will be different depending on the droplet is a prolate spheroid or an oblate spheroid, respectively as

ξ0=ad/21(prolatespheroid),
ξ0=bd/20(oblatespheroid).
These expressions can be directly extracted from the following coordinate transformation relations between spheroidal coordinates and rectangular coordinates (by looking at the z axis along which η=1):

x=d2(1η2)(ξ21)cosϕ,y=d2(1η2)(ξ21)sinϕ,z=d2ηξ(prolatespheroid),
x=d2(1η2)(ξ2+1)cosϕ,y=d2(1η2)(ξ2+1)sinϕ,z=d2ηξ(oblatespheroid).

The boundary conditions that shall be applied here is identical to that employed in the classic solutions [1,2], and is just the same as that applied to solve the problem of ultrasound scattering from a penetrable spheroid [21], namely, that the pressure and the normal acceleration must both be continuous across the boundary, i.e.

ps(ω,ξ0,η,ϕ)=pf(ω,ξ0,η,ϕ),ps(ω,ξ,η,ϕ)ρsξ|ξ=ξ0=pf(ω,ξ,η,ϕ)ρfξ|ξ=ξ0.
As shown in Fig. 1, since the η confocal hyperbolas are orthogonal to the ξ confocal ellipses, the normal direction of the boundary is actually along the direction of theη hyperbolas. It can be deduced from Eq. (15) and Eq. (16) that
whenξ,ηcosθ,
where θ is the polar angle defined in the spherical coordinates. The spheroidal coordinate ϕ is defined in the conventional sense, as the azimuthal angle.

Based on Eq. (17), before going for the solution of pmnsand pmnf needed in Eq. (10) and Eq. (11), we first arrive at the following constraint conditions

m=0,n=2k.
These constraints can be understood more intuitively from the symmetry consideration. The m=0 constraint condition corresponds to the requirement that ps2 and pf should be both rotationally invariant with respect to ϕ which means
ps2ϕ=0,pfϕ=0,
while the n=2k constraint condition corresponds to the parity requirement of these quantities respect to η which is
ps2(η)=ps2(η),pf(η)=pf(η)
which further requests that S0n({cic,η)=S0n({cic,η) in Eq. (10) and Eq. (11). However, the angular SWFs S0n are related to the Legendre functions Pl(η) as [9]
S0n({cic,η)=l=0,1'dl0n({cic)Pl(η)
where dl0n are called the spheroidal coefficients and the prime over the summation sign here indicates that the sum is over only even or odd ldepending on n is even or odd, thereby finally resulting in the condition that n must be an even number, i.e. n=2k. Therefore, the expressions for ps2 and pf in Eq. (10) and Eq. (11) are much simplified, being reduced to

ps2(ω,ξ,η,ϕ)=p0n=0p0nsS0n({csics,η)R0n(1)({cs,ξics,iξ),n=2k,
pf(ω,ξ,η,ϕ)=p0n=0p0nfS0n({cficf,η)R0n(3)({cf,ξicf,iξ),n=2k.

Now, it is the time to applying the boundary conditions by substituting the expressions in Eq. (9), Eq. (23) and Eq. (24) into Eq. (17). We further substitute the expansion for S0n as shown in Eq. (22) and remove the dependence on η by employing the orthogonal property of the Legendre function, subsequently obtaining

{δ0,l+n=0p0nsdl0n({csics)R0n(1)({cs,ξ0ics,iξ0)=n=0p0nfdl0n({cficf)R0n(3)({cf,ξ0icf,iξ0)n=0p0nsdl0n({csics)R0n(1)({cs,ξ0ics,iξ0)=ρsρfn=0p0nfdl0n({cficf)R0n(3)({cf,ξ0icf,iξ0),n=2k,l=2k0,
where R0n(1) and R0n(3) both denote the first derivative with respect to ξ. Note that Eq. (25) actually contains a series of such linear equations with the total number determined by the dimension of l. It will be much more convenient to cast these linear equations into a square-matrix form by setting the dimension of l equal to that of n, thereby arriving at
{A+DsR1sPs=DfR3fPfDsR1sPs=ρsρfDfR3fPf.
Here, all of Ps, Pf, and A are column-vectors where the elements of Ps and Pf are the weighting coefficients p0ns and p0nf to be determined, and the element of A is simply defined as (here δi,j is the Kronecker delta symbol)
Ai=δi,1.
On the other hand, all of Ds, Df, R1s, R1s, R3f, R1s represent square-matrixes with their elements predetermined respectively as:
(Ds)ij=d2i20(2j2)({csics),(Df)ij=d2i20(2j2)({cficf),
(R1s)ij=δi,jR0(2i2)(1)({cs,ξ0ics,iξ0),(R1s)ij=δi,jR0(2i2)(1)({cs,ξ0ics,iξ0),
(R3f)ij=δi,jR0(2i2)(3)({cf,ξ0icf,iξ0),(R3f)ij=δi,jR0(2i2)(3)({cf,ξ0icf,iξ0).
All of R1s, R1s, R3f, R3f are diagonal-matrixes.

In principle, Ps, Pfcan be solved from Eq. (26) with matrix algebra, resulting in

Ps=[ρfρsDfR3f(R3f)1(Df)1DsR1sDsR1s]1A,
Pf=[DfR3fρsρfDsR1s(R1s)1(Ds)1DfR3f]1A.
To this end, by incorporating the results of Eq. (31) and Eq. (32) respectively back into Eq. (23) and Eq. (24), and further combining this result with Eqs. (9) and (5), the frequency domain solution for ps and pf in Eq. (4) is then finally determined.

2.2 Time domain solution

Once the frequency domain solution has been settled, the time domain solution for short laser pulse excitation can be readily reached by taking Fourier transform based on the spectral analysis method [20].

Let us first consider decomposing the laser pulse intensity into its spectral components as

I(t)=12π+I˜(ω)eiωtdω.
Then the time domain solution is just
ps(t,ξ,η,ϕ)=12π+I˜(ω)I0p0eiωt[1+n=0p0nsS0n({csics,η)R0n(1)({cs,ξics,iξ)]dω,n=2k,
pf(t,ξ,η,ϕ)=12π+I˜(ω)I0p0eiωtn=0p0nfS0n({cficf,η)R0n(3)({cf,ξicf,iξ)dω,n=2k,
where p0 has the form as shown in Eq. (9) and p0ns and p0nf have already been determined as shown in Eq. (31) and Eq. (32).

For the ideal delta-pulse excitation, there is

I(t)=I0δ(t)I˜(ω)I0=1,
under which Eq. (34) and Eq. (35) can be further simplified.

3. Asymptotic analyses

As illustrated in the right panel of Fig. 1, when the interfocal distance d0, the prolate spheroid and the oblate spheroid will be both rounded respectively to a sphere; on the other hand, when d, the prolate spheroid will be elongated to an infinitely long cylinder, while the oblate spheriod will be stretched to an infinitely wide circular-plate. Therefore, it is a natural conjecture that the general frequency domain solution derived in Section 2.1 (thus also the time domain solution) will asymptotically degenerate into the standard solutions for a sphere, an infinite cylinder, and an infinite layer respectively at these extreme limits. At follows, we shall provide the proofs. For the sake of brevity, here we only describe the analyses for the photoacoustic waves generated outside the droplet.

3.1 Sphere

For a prolate spheriod or an oblate spheroid, the condition of d0 is equivalent to the requests that the dimensionless variables cs,cfreach the limit of [refer to Eq. (12)]

cs0,cf0.
Since there is [9]
S0n({cic,η)~Pn(η),n=2k,forc0,
we can first deduce that [refer to Eq. (22)]
d2i0(2j)({cic)~δi,j,forc0.
Therefore, Ds,Df in Eq. (28) are both reduced to the unit matrix

DsE,DfE.

By substituting the results of Eq. (40) and Eq. (27) into Eq. (32), it is straightforward to reach

(Pf)i~δi,1×1(R3f)11ρsρf(R1s)11(R3f)11(R1s)11,
which means that only the single mode S00R00 contributes.

Now let us focus on determining the value of (R1s)11, (R1s)11, (R3f)11, (R3f)11 which are related to the radial SWFs as defined in Eq. (29) and Eq. (30). We need to apply the following asymptotic relations [9]

R0n(1)({c,ξic,iξ)~jn(k^r),n=2k,forc0,
R0n(3)({c,ξic,iξ)~hn(1)(k^r),n=2k,forc0,
where
cξk^r,forc0
has been used, which comes from the coordinate transformation in Eq. (15) and Eq. (16) by setting ηzr. Here, jn(k^r) is the spherical Bessel function and hn(1)(k^r) is the spherical Hankel function of the first kind. The asymptotic expression of R0n(1) and R0n(3) can be derived in the similar way, after which we can move a further step from Eq. (41) to get

(Pf)i~δi,1×1h0(k^fa)ρsρfk^fh1(1)(k^fa)k^sj1(k^sa)j0(k^sa).

As the final step, by substituting Eq. (45) into Eq. (24) and by noting the expression of S00 in Eq. (38) and the expression of R00(3) in Eq. (43), we arrive at

pf(ω,ξ,η,ϕ)~p0j1(k^sa)h0(1)(k^fr)j1(k^sa)h0(k^fa)ρsvsρfvfh1(1)(k^fa)j0(k^sa).
If we write out the expression for j0(k^r),j1(k^r),h0(1)(kr), andh1(1)(kr), the standard solution for a sphere [1] will be recovered:
pf(ω,ξ,η,ϕ)~p0r/aeiq^τ×(sinq^q^cosq^)/q^[(1ρsρf)(sinq^/q^)cosq^+iρsvsρfvfsinq^],
where q^=k^sa and τ=(vs/a)(ra)/vf.

3.2 Infinite long cylinder

For a prolate spheroid, the condition of d is equivalent to the requests that the dimensionless variables cs,cf reach the limit of [refer to Eq. (12)]

cs,cf.
This will lead to
Ds~Df,
which will in turn reduce the expression of Pfin Eq. (32) to

Pf~[R3fρsρfR1s(R1s)1R3f]1(Df)1A.

For this time, we need to use the following asymptotic forms for the radial SWFs [22]:

R0n(1)(c,ξ)~π2cJ0(cξ21),n=2k,forc,
R0n(3)(c,ξ)~π2cH0(1)(cξ21),n=2k,forc,
where J0(cξ21) is zero-order Bessel function and H0(1)(cξ21) is zero-order Hankel function of the first kind.

Before moving forwards, we need first to analyze the asymptotic behavior of the angular SWFs which is [9]

S0n(c,η)~h0n2n/2ecη2/2Hn(cη),n=2k,forc,
where Hn(cη) is the Hermite polynomials and h0n presents constants only depending on n. From Eq. (53), we can conclude that the solution of Eq. (24) with physical meaning will only exist for
η0,
i.e. the photoacoustic waves are generated only along the direction perpendicular to the revolution axis (the z axis, refer to Fig. 1). This is amount to reducing the problem down to 2 dimensions. Let r denote the distance perpendicular to the z axis, we obtain from Eq. (15) that

cξ21k^r.

Now by incorporating Eq. (55) into Eq. (51) and Eq. (52), and then by using them (also the expressions forR0n(1) and R0n(3)) in Eq. (50), we reach that

Pf~J1(k^sb)π2cfH0(1)(k^fb)J1(k^sb)ρsvsρfvfπ2cfJ0(k^sb)H1(1)(k^fb)(Df)1A.

Finally, by going back to Eq. (24) we can get

pf(ξ,η)~p0J1(k^sb)H0(1)(k^fr)H0(1)(k^fb)J1(k^sb)ρsvsρfvfJ0(k^sb)H1(1)(k^fb)k=0[(Df)1](k+1)1S0(2k)(cf,η).
However, due to
k=0[(Df)1](k+1)1S0(2k)(cf,η)=k=0[(Df)1](k+1)1k=0d2k0(2k)P2k(η)=k=0k=0[(Df)1](k+1)1(Df)(k+1)(k+1)P2k(η)=δk,0P2k(η)=1,
the standard solution for an infinite cylinder [1] is therefore recovered with b representing the radius of the infinite cylinder:

pf(ω,ξ,η,ϕ)~p0J1(k^sb)H0(1)(k^fr)H0(1)(k^fb)J1(k^sb)ρsvsρfvfJ0(k^sb)H1(1)(k^fb).

3.3 Infinite large layer

As the last asymptotic analysis, we consider the oblate spheroid with d. In this case the dimensionless variables cs,cf also satisfy

cs,cf.
The results expressed same as Eq. (49) and Eq. (50) will be reached. However, it is now working under the oblate spheridal coordinate system rather than in the prolate spheroidal coordinate system. The asymptotic forms of the radial SWFs will not be the same as those in Eq. (51) and Eq. (52), but rather are [9]

R0n(1)(ic,iξ)~cos(cξ)c×ein2π,n=2k,forc,
R0n(3)(ic,iξ)~eicξc×ein2π,n=2k,forc.

Here, the asymptotic expression for the angular SWFs to be used is [9]

S0n(c,η)~A00n{ec(1η)Ln/2[2c(1η)]+ec(1+η)Ln/2[2c(1+η)]},n=2k,forc,
where Ln/2[2c(1η)] and Ln/2[2c(1+η)] are the Laguerre polynomials, and A00n are constants only depending on n. In order to have a solution with physical meaning, Eq. (63) requires that
η±1.
This is clearly different from that of Eq. (54). The constraint of Eq. (64) reduces the problem in the oblate spheroidal coordinate system down to 1 dimension (refer to Fig. 1), i.e. the photoacoustic waves are produced only along the direction of z axis. From the coordinate transformation of Eq. (16), it can be deduced that

cξk^|z|.

Now, by incorporating the results of Eq. (61), Eq. (62) and Eq. (65) into the expression of Pf [which is same as Eq. (50)], we can further arrive at

Pf~cfsin(k^sb)eik^fbsin(k^sb)+iρsvsρfvfcos(k^sb)E¯(Df)1A,
where E¯ denotes the diagonal matrix with the element E¯kk=ei(k1)π.

Finally, by substituting Eq. (66) and Eq. (62) into Eq. (24), and by processing the similar derivation of Eq. (58), as expected, we recover the standard solution for an infinite layer [1] with b representing here the half thickness of the infinite layer:

pf(ω,ξ,η,ϕ)~p0sin(k^sb)eik^f(|z|b)sin(k^sb)+iρsvsρfvfcos(k^sb).

4. Decomposition analysis on time domain solution

As for the time domain solutions of a sphere, an infinite cylinder and an infinite layer, the model of photoacoustic wave partial transmission and reflection at the boundary has been applied successfully to explain the characteristic photoacoustic temporal responses, which appear as being composed by successive pulses [1,2]. After having demonstrated in Section 3 that the solution of a spheroidal droplet actually contains all of the standard solutions for these three special geometries as the asymptotic representations, we expect that this model should also be applicable to the time domain solution of a spheroidal droplet, which is illustrated in Fig. 2.

 figure: Fig. 2

Fig. 2 Illustration for the model of outgoing photoacoustic wave partial transmission and reflection at the boundary of the spheroidal droplet. The left side figure illustrates the case for a prolate spheroidal droplet, and the right side figure illustrates the case for an oblate spheroidal droplet. In each figure, the orange contour plots the droplet boundary, and the black curves plot the spheroidal coordinate system where the thick black line corresponds to the area with the minimumξ. The red arrows inside the boundary represent the outgoing photoacoustic waves, the red arrows outside the boundary represent the partially transmitted photoacoustic waves, and the green arrows represent the partially reflected photoacoustic waves. All of these photoacoustic waves propagate along the direction normal to the ξ surfaces.

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It is very interesting to find that for the ideal I0δ(t) laser pulse excitation usually considered for this model [refer to Eq. (36)], the solution of pf(t,ξ,η) and ps(t,ξ,η)in Eq. (35) and Eq. (34) indeed can be decomposed respectively into (refer to Appendix for the derivation)

pf(t,ξ,η,ϕ)=12π+p0eiωtn=0[(E++2+)Pf_i](n/2+1)S0n({cficf,η)R0n(3)({cf,ξicf,iξ)dω,n=2k,
ps(t,ξ,η,ϕ)=12π+p0eiωtdω+12π+p0eiωtn=0[Ps_i](n/2+1)S0n({csics,η)R0n(1)({cs,ξics,iξ)dω+12π+p0eiωtn=0[2(E++2+)Pf_i](n/2+1)S0n({csics,η)R0n(1)({cs,ξics,iξ)dω,n=2k.
Here, , represent respectively the transmission matrix and the reflection matrix as defined in Appendix [Eq. (81)], and Pf_i, Ps_i are respectively defined as the initial Pfvector and the initial Psvector which are calculated respectively from Eq. (32) and Eq. (31) under the conditions of ρf=ρs,vf=vs (i.e. when the surrounding medium has the same acoustic properties as the spheroidal droplet under which will be a null matrix and =E). The expressions of Pf_i, Ps_i are

Pf_i=[R3s(R1s)1R1sR3s]1(Ds)1A,
Ps_i=[R3s(R3s)1R1sR1s]1(Ds)1A.

Now based on Eq. (68), the photoacoustic wave generation outside of the spheroidal droplet can be interpreted as follows. For each mode, the initial outgoing wave excited inside the droplet will undergo a series of successive partial transmissions and reflections. Integrating the processes of all of the modes completes the time domain solution. Note that since , are usually not diagonal matrixes, the mode hopping phenomenon will appear during partial transmission and reflection: one outgoing mode will smear into other modes. This is not unexpected, however, because in spheroidal coordinates the modes S0nR0n(3) are not orthogonal with each other.

The photoacoustic wave generation inside the spheroidal droplet can be interpreted similarly based on Eq. (69). The first term and the second term on the right side of this equation assemble the initial photoacoustic pulse generated across the spheroidal droplet which is generated even when there is no reflection at the boundary. The third term shows that each mode will undergo multiple reflections. It is worth to point out that the factor of 2 inside the integral of the third term is important. This is because this factor needs to be combined with R0n(1) to fulfill

2R0n(1)=R0n(3)+R0n(4),
where the radial SWF R0n(3) and R0n(4)(the fourth kind) are necessary respectively for describing outgoing waves and ingoing waves ([9], also refer to Appendix). Only through this step, the interpretation from the perspective of partial transmission and reflection can be justified: for the photoacoustic wave generation inside the spheroidal droplet, we need to consider not only the successive reflections for an initially outgoing wave but also the successive reflections for an initially ingoing wave; the initially ingoing wave will change to an outgoing wave when reaching the inner most area corresponding to the minimum ξ (ξ=1 for a prolate spheroid and ξ=0 for an oblate spheroid). The mode hopping also prevails during the reflection.

5. Conclusions and future works

We derived the analytic solution for describing the photoacoustic waves generated by a spheroidal droplet through two crucial steps. The first is to identify the photoacoustic Helmholtz equation, and the second is to solve it in spheroidal coordinates with separation-of-variable method which yields the expressions of Eq. (23) and Eq. (24). These expressions take the form of spheroidal modes summation with the weighting coefficients determined by Eq. (31) and Eq. (32), which are obtained by applying the boundary conditions as expressed in Eq. (17). We started our derivation in the frequency domain where the special solution of Eq. (9) also needs to be included into the complete solution. The time domain solution then can be established through Fourier transform as shown in Eq. (34) and Eq. (35).

Although the number of modes involved is theoretically unbounded and the compacted expressions of Eq. (31) and Eq. (32) in matrix format still seem complex, we were able to prove the analytic solution based on two approaches: one is to recover the standard solutions from the asymptotic analyses, and the other is to reconcile the partial transmission and reflection model by performing the decomposition analysis on the time domain solution. The former task was accomplished by exploiting the asymptotic behaviors of SWFs where the radial SWFs are asymptotically degenerated into spherical Bessel functions, Bessel functions, and sinusoidal functions which are required respectively in the solution for a sphere, an infinite cylinder and an infinite layer [23]. The key for accomplishing the latter task is to extensively apply the Wronskian relation for radial SWFs.

The information contained in the analytic solution is by no means limited by what we have demonstrated, and there is certainly more yet waiting to be explored. For example, the approximation solutions in three dimensions for a finite cylinder and for a finite plate should be reachable also through asymptotic analyses. Even more information can be extracted from the numerical realization of the analytic solution for practical uses. This is greatly promising because the hurdle of obtaining numerical results of SWFs has already been overcome with the ongoing development of the specialized computer programs [2427]. We are currently working on this numerical realization.

Appendix: derivation for the formulas of photoacoustic wave partial transmission and reflection at the boundary of a spheroidal droplet

We perform the derivation in the frequency domain by considering an initial outgoing photoacoustic wave with the weighting coefficients of every mode all equal to 1, i.e.

pI(ω,ξ,η,ϕ)=p0n=0B(n/2+1)S0n({csics,η)R0n(3)({cs,ξics,iξ),B(n/2+1)1,n=2k
where we use the vector Bto represent the weighting coefficients. Similar to establishing the partial transmission and reflection model for a sphere, an infinite cylinder, and an infinite layer [1,2], we seek the transmitted wave and reflected wave at the droplet boundary (refer to Fig. 2)
{pT(ω,ξ,η,ϕ)=p0n=0T(n/2+1)S0n({cficf,η)R0n(3)({cf,ξicf,iξ)pR(ω,ξ,η,ϕ)=p0n=0R(n/2+1)S0n({csics,η)R0n(4)({cs,ξics,iξ),n=2k
which satisfying the boundary conditions [similar to Eq. (17)]:
{pI(ω,ξ0,η,ϕ)+pR(ω,ξ0,η,ϕ)=pT(ω,ξ0,η,ϕ)[pI(ω,ξ,η,ϕ)+pR(ω,ξ,η,ϕ)]ρsξ|ξ=ξ0=pT(ω,ξ,η,ϕ)ρfξ|ξ=ξ0.
Here R0n(4)represent the radial SWFs of the fourth kinds and are necessary for describing an ingoing wave [9]. The relation between the different kinds of radial SWFs are
R0n(3)=R0n(1)+iR0n(2),R0n(4)=R0n(1)iR0n(2),
where R0n(2) are the second kind.

By using the method similar for obtaining Eq. (26), we find

{DsR3sB+DsR4sR=DfR3fTDsR3sB+DsR4sR=ρsρfDfR3fT,
where the matrixes Ds and Df have been defined in Eq. (28) and the matrixes R3f and R3f have been defined in Eq. (30), and the matrixes R3s,R3s,R4s,R4s are defined in the similar way, as
(R3s)ij=δi,jR0(2i2)(3)({cs,ξ0ics,iξ0),(R3s)ij=δi,jR0(2i2)(3)({cs,ξ0ics,iξ0),
(R4s)ij=δi,jR0(2i2)(4)({cs,ξ0ics,iξ0),(R4s)ij=δi,jR0(2i2)(4)({cs,ξ0ics,iξ0).
Solving Eq. (77) with matrix algebra, we get
{T=BR=B,
where we define as the transmission matrix and the reflection matrix which have the forms as

{=[DfR3fρsρfDsR4s(R4s)1(Ds)1DfR3f]1[DsR3sDsR4s(R4s)1R3s]=[ρfρsDfR3f(R3f)1(Df)1DsR4sDsR4s]1[DsR3sρfρsDfR3f(R3f)1(Df)1DsR3s].

1. Expressing Pfin terms of and

To construct the expected relation between Pf in Eq. (32) and (E)1, we first derive the expression for (E)1. Assisted with the relation of Eq. (72), we can obtain from Eq. (81) that

(E)1=12[ρfρsDfR3f(R3f)1(Df)1DsR1sDsR1s]1[ρfρsDfR3f(R3f)1(Df)1DsR4sDsR4s].
Furthermore, assisted with the Wronskian relation [9]
R0n(1)R0n(2)R0n(1)R0n(2)={1c(ξ21)(forprolatespheroid)1c(ξ2+1)(foroblatespheroid),
we can write as

=[R4s(Ds)1DfR3fρsρfR4s(Ds)1DfR3f]1×{2ics(ξ21)2ics(ξ2+1).

Next, by noting the interesting relation

[R4s(Ds)1DfR3fρsρfR4s(Ds)1DfR3f]1[ρfρsDfR3f(R3f)1(Df)1DsR1sDsR1s]1=[R1s(Ds)1DfR3fρsρfR1s(Ds)1DfR3f]1[ρfρsDfR3f(R3f)1(Df)1DsR4sDsR4s]1,
where the left side has undergone an interchange between R4s and R1s and also an interchange between R4s and R1s (which can be easily verified also by applying the Wronskian relation), we can move a further step to reach

(E)1=[R1s(Ds)1DfR3fρsρfR1s(Ds)1DfR3f]1×{ics(ξ21)ics(ξ2+1).

Now, comparing Eq. (86) with Eq. (32), we can arrive at

Pf=(E)1R1s(Ds)1A×{ics(ξ21)ics(ξ2+1).
However, noting that Pf_iin Eq. (70) is just equal to (also using the Wronskian relation)
Pf_i=R1s(Ds)1A×{ics(ξ21)ics(ξ2+1),
we then finally achieve

Pf=(E)1Pf_i.

2.Expressing Ps in terms of

For this task, we work on the expression of 2(E)1 which can be obtained from Eq. (81) and Eq. (82) as that

2(E)1=[ρfρsDfR3f(R3f)1(Df)1DsR1sDsR1s]1[DsR3sρfρsDfR3f(R3f)1(Df)1DsR3s].
We continue on by substituting the following expression (obtained by using the Wronskian relation)
R3s=(R1s)1R1sR3s(R1s)1×{ics(ξ21)ics(ξ2+1)
into Eq. (90), and can further reach

2(E)1=R3s(R1s)1[ρfρsDfR3f(R3f)1(Df)1DsR1sDsR1s]1Ds(R1s)1×{ics(ξ21)ics(ξ2+1).

Now, by comparing Eq. (92) with Eq. (31), and by noting that Ps_iin Eq. (71) is equal to (using the Wronskian relation again)

Ps_i=R3s(Ds)1A×{ics(ξ21)ics(ξ2+1),
we can finally arrive at

Ps=2(E)1Pf_i+Ps_i.

Acknowledgments

This work is supported by the National Nature Science Foundation of China (Grant No. 11074134, 61138003), the Program for New Century Excellent Talents in University (No. NCET-10-0502), the Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry (No. 1139), and the Tianjin Municipal Science and Technology Commission under Grand number 14JCYBJC16600.

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Figures (2)

Fig. 1
Fig. 1 Illustration of photoacoustic (PA) wave generation of a prolate spheroidal droplet or an oblate spheroidal droplet. In the left panel, on the top a prolate spheroid along with its prolate spheroidal coordinate system is plotted and at the bottom an oblate spheroid along with its oblate spheroidal coordinate system is plotted, where the two black dots represent the foci and the z-axis represents the revolution axis for each system. In the right panel. the three geometries, infinitely long cylinder, sphere, and infinitely large layer, represent respectively the asymptotic spheroids under the extreme conditions of infinite or zero interfocal distance. For these three geometries, the analytic solutions of the photoacoustic waves are well-known [13].
Fig. 2
Fig. 2 Illustration for the model of outgoing photoacoustic wave partial transmission and reflection at the boundary of the spheroidal droplet. The left side figure illustrates the case for a prolate spheroidal droplet, and the right side figure illustrates the case for an oblate spheroidal droplet. In each figure, the orange contour plots the droplet boundary, and the black curves plot the spheroidal coordinate system where the thick black line corresponds to the area with the minimum ξ . The red arrows inside the boundary represent the outgoing photoacoustic waves, the red arrows outside the boundary represent the partially transmitted photoacoustic waves, and the green arrows represent the partially reflected photoacoustic waves. All of these photoacoustic waves propagate along the direction normal to the ξ surfaces.

Equations (94)

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t T= κ ρ C P 2 T+ H ρ C P ,
2 p 1 v 2 2 t 2 p= α v 2 2 t 2 T,
2 p 1 v 2 2 t 2 p= β C p t H,
{ 2 p s 1 v s 2 2 t 2 p s = β C p H t (insidethedroplet) 2 p f 1 v f 2 2 t 2 p f =0(outsidethedroplet)
p s = p s1 + p s2 ,
1 v s 2 2 t 2 p s1 = β C p H t
2 p s2 1 v s 2 2 t 2 p s2 =0.
H= ε th μ a I 0 e iωt
p s1 (ω) p 0 =i ε th μ a β I 0 v s 2 ω C p .
p s2 (ω,ξ,η,ϕ)= p 0 m=0 nm p mn s S mn ({ c s i c s ,η) R mn (1) ({ c s ,ξ i c s ,iξ ) e ±imϕ ,
p f (ω,ξ,η,ϕ)= p 0 m=0 nm p mn f S mn ({ c f i c f ,η) R mn (3) ({ c f ,ξ i c f ,iξ ) e ±imϕ .
c s = ω v s d 2 = k ^ s d 2 ,and c f = ω v f d 2 = k ^ f d 2
ξ 0 = a d/2 1(prolatespheroid),
ξ 0 = b d/2 0(oblatespheroid).
x= d 2 (1 η 2 )( ξ 2 1) cosϕ,y= d 2 (1 η 2 )( ξ 2 1) sinϕ,z= d 2 ηξ(prolatespheroid),
x= d 2 (1 η 2 )( ξ 2 +1) cosϕ,y= d 2 (1 η 2 )( ξ 2 +1) sinϕ,z= d 2 ηξ(oblatespheroid).
p s (ω, ξ 0 ,η,ϕ)= p f (ω, ξ 0 ,η,ϕ), p s (ω,ξ,η,ϕ) ρ s ξ | ξ= ξ 0 = p f (ω,ξ,η,ϕ) ρ f ξ | ξ= ξ 0 .
whenξ,ηcosθ,
m=0,n=2k.
p s2 ϕ =0, p f ϕ =0,
p s2 (η)= p s2 (η), p f (η)= p f (η)
S 0n ({ c ic ,η)= l=0,1 ' d l 0n ({ c ic ) P l (η)
p s2 (ω,ξ,η,ϕ)= p 0 n=0 p 0n s S 0n ({ c s i c s ,η) R 0n (1) ({ c s ,ξ i c s ,iξ ) ,n=2k,
p f (ω,ξ,η,ϕ)= p 0 n=0 p 0n f S 0n ({ c f i c f ,η) R 0n (3) ({ c f ,ξ i c f ,iξ ) ,n=2k.
{ δ 0,l + n=0 p 0n s d l 0n ({ c s i c s ) R 0n (1) ({ c s , ξ 0 i c s ,i ξ 0 ) = n=0 p 0n f d l 0n ({ c f i c f ) R 0n (3) ({ c f , ξ 0 i c f ,i ξ 0 ) n=0 p 0n s d l 0n ({ c s i c s ) R 0n (1) ({ c s , ξ 0 i c s ,i ξ 0 ) = ρ s ρ f n=0 p 0n f d l 0n ({ c f i c f ) R 0n (3) ({ c f , ξ 0 i c f ,i ξ 0 ) , n=2k,l=2 k 0,
{ A+ D s R 1s P s = D f R 3f P f D s R 1s P s = ρ s ρ f D f R 3f P f .
A i = δ i,1 .
(D s ) ij = d 2i2 0(2j2) ({ c s i c s ), (D f ) ij = d 2i2 0(2j2) ({ c f i c f ),
(R 1s ) ij = δ i,j R 0(2i2) (1) ({ c s , ξ 0 i c s ,i ξ 0 ), ( R 1s ) ij = δ i,j R 0(2i2) (1) ({ c s , ξ 0 i c s ,i ξ 0 ),
(R 3f ) ij = δ i,j R 0(2i2) (3) ({ c f , ξ 0 i c f ,i ξ 0 ), ( R 3f ) ij = δ i,j R 0(2i2) (3) ({ c f , ξ 0 i c f ,i ξ 0 ).
P s = [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 1s D s R 1s ] 1 A,
P f = [ D f R 3f ρ s ρ f D s R 1s ( R 1s ) 1 (D s ) 1 D f R 3f ] 1 A.
I(t)= 1 2π + I ˜ (ω) e iωt dω .
p s (t,ξ,η,ϕ)= 1 2π + I ˜ (ω) I 0 p 0 e iωt [1+ n=0 p 0n s S 0n ({ c s i c s ,η) R 0n (1) ({ c s ,ξ i c s ,iξ )] dω ,n=2k,
p f (t,ξ,η,ϕ)= 1 2π + I ˜ (ω) I 0 p 0 e iωt n=0 p 0n f S 0n ({ c f i c f ,η) R 0n (3) ({ c f ,ξ i c f ,iξ ) dω ,n=2k,
I(t)= I 0 δ(t) I ˜ (ω) I 0 =1,
c s 0, c f 0.
S 0n ({ c ic ,η)~ P n (η),n=2k,forc0,
d 2i 0(2j) ({ c ic )~ δ i,j ,forc0.
D s E, D f E.
( P f ) i ~ δ i,1 × 1 (R 3f ) 11 ρ s ρ f (R 1s ) 11 ( R 3f ) 11 ( R 1s ) 11 ,
R 0n (1) ({ c,ξ ic,iξ )~ j n ( k ^ r),n=2k,forc0,
R 0n (3) ({ c,ξ ic,iξ )~ h n (1) ( k ^ r),n=2k,forc0,
cξ k ^ r,forc0
( P f ) i ~ δ i,1 × 1 h 0 ( k ^ f a) ρ s ρ f k ^ f h 1 (1) ( k ^ f a) k ^ s j 1 ( k ^ s a) j 0 ( k ^ s a) .
p f (ω,ξ,η,ϕ)~ p 0 j 1 ( k ^ s a) h 0 (1) ( k ^ f r) j 1 ( k ^ s a) h 0 ( k ^ f a) ρ s v s ρ f v f h 1 (1) ( k ^ f a) j 0 ( k ^ s a) .
p f (ω,ξ,η,ϕ)~ p 0 r/a e i q ^ τ × (sin q ^ q ^ cos q ^ )/ q ^ [(1 ρ s ρ f )(sin q ^ / q ^ )cos q ^ +i ρ s v s ρ f v f sin q ^ ] ,
c s , c f .
D s ~D f ,
P f ~ [ R 3f ρ s ρ f R 1s ( R 1s ) 1 R 3f ] 1 (D f ) 1 A.
R 0n (1) (c,ξ)~ π 2c J 0 (c ξ 2 1 ),n=2k,forc,
R 0n (3) (c,ξ)~ π 2c H 0 (1) (c ξ 2 1 ),n=2k,forc,
S 0n (c,η)~ h 0 n 2 n/2 e c η 2 /2 H n ( c η),n=2k,forc,
η0,
c ξ 2 1 k ^ r.
P f ~ J 1 ( k ^ s b) π 2 c f H 0 (1) ( k ^ f b) J 1 ( k ^ s b) ρ s v s ρ f v f π 2 c f J 0 ( k ^ s b) H 1 (1) ( k ^ f b) (D f ) 1 A.
p f (ξ,η)~ p 0 J 1 ( k ^ s b) H 0 (1) ( k ^ f r) H 0 (1) ( k ^ f b) J 1 ( k ^ s b) ρ s v s ρ f v f J 0 ( k ^ s b) H 1 (1) ( k ^ f b) k=0 [ ( D f ) 1 ] (k+1)1 S 0(2k) ( c f ,η) .
k=0 [ ( D f ) 1 ] (k+1)1 S 0(2k) ( c f ,η) = k=0 [ ( D f ) 1 ] (k+1)1 k =0 d 2 k 0(2k) P 2 k (η) = k =0 k=0 [ ( D f ) 1 ] (k+1)1 ( D f ) ( k +1)(k+1) P 2 k (η) = δ k ,0 P 2 k (η)=1,
p f (ω,ξ,η,ϕ)~ p 0 J 1 ( k ^ s b) H 0 (1) ( k ^ f r) H 0 (1) ( k ^ f b) J 1 ( k ^ s b) ρ s v s ρ f v f J 0 ( k ^ s b) H 1 (1) ( k ^ f b) .
c s , c f .
R 0n (1) (ic,iξ)~ cos(cξ) c × e i n 2 π ,n=2k,forc,
R 0n (3) (ic,iξ)~ e icξ c × e i n 2 π ,n=2k,forc.
S 0n (c,η)~ A 0 0n { e c(1η) L n/2 [2c(1η)]+ e c(1+η) L n/2 [2c(1+η)]},n=2k,forc,
η±1.
cξ k ^ |z|.
P f ~ c f sin( k ^ s b) e i k ^ f b sin( k ^ s b)+i ρ s v s ρ f v f cos( k ^ s b) E ¯ (D f ) 1 A,
p f (ω,ξ,η,ϕ)~ p 0 sin( k ^ s b) e i k ^ f (|z|b) sin( k ^ s b)+i ρ s v s ρ f v f cos( k ^ s b) .
p f (t,ξ,η,ϕ)= 1 2π + p 0 e iωt n=0 [(E++ 2 +) P f_i ] (n/2+1) S 0n ({ c f i c f ,η) R 0n (3) ({ c f ,ξ i c f ,iξ ) dω ,n=2k,
p s (t,ξ,η,ϕ)= 1 2π + p 0 e iωt dω + 1 2π + p 0 e iωt n=0 [ P s_i ] (n/2+1) S 0n ({ c s i c s ,η) R 0n (1) ({ c s ,ξ i c s ,iξ ) dω + 1 2π + p 0 e iωt n=0 [2(E++ 2 +) P f_i ] (n/2+1) S 0n ({ c s i c s ,η) R 0n (1) ({ c s ,ξ i c s ,iξ ) dω ,n=2k.
P f_i = [ R 3s ( R 1s ) 1 R 1s R 3s ] 1 (D s ) 1 A,
P s_i = [ R 3s ( R 3s ) 1 R 1s R 1s ] 1 (D s ) 1 A.
2 R 0n (1) = R 0n (3) + R 0n (4) ,
p I (ω,ξ,η,ϕ)= p 0 n=0 B (n/2+1) S 0n ({ c s i c s ,η) R 0n (3) ({ c s ,ξ i c s ,iξ ) , B (n/2+1) 1,n=2k
{ p T (ω,ξ,η,ϕ)= p 0 n=0 T (n/2+1) S 0n ({ c f i c f ,η) R 0n (3) ({ c f ,ξ i c f ,iξ ) p R (ω,ξ,η,ϕ)= p 0 n=0 R (n/2+1) S 0n ({ c s i c s ,η) R 0n (4) ({ c s ,ξ i c s ,iξ ) ,n=2k
{ p I (ω, ξ 0 ,η,ϕ)+ p R (ω, ξ 0 ,η,ϕ)= p T (ω, ξ 0 ,η,ϕ) [ p I (ω,ξ,η,ϕ)+ p R (ω,ξ,η,ϕ)] ρ s ξ | ξ= ξ 0 = p T (ω,ξ,η,ϕ) ρ f ξ | ξ= ξ 0 .
R 0n (3) = R 0n (1) +i R 0n (2) , R 0n (4) = R 0n (1) i R 0n (2) ,
{ D s R 3s B +D s R 4s R =D f R 3f T D s R 3s B +D s R 4s R= ρ s ρ f D f R 3f T ,
(R 3s ) ij = δ i,j R 0(2i2) (3) ({ c s , ξ 0 i c s ,i ξ 0 ), ( R 3s ) ij = δ i,j R 0(2i2) (3) ({ c s , ξ 0 i c s ,i ξ 0 ),
(R 4s ) ij = δ i,j R 0(2i2) (4) ({ c s , ξ 0 i c s ,i ξ 0 ), ( R 4s ) ij = δ i,j R 0(2i2) (4) ({ c s , ξ 0 i c s ,i ξ 0 ).
{ T=B R=B ,
{ = [ D f R 3f ρ s ρ f D s R 4s ( R 4s ) 1 (D s ) 1 D f R 3f ] 1 [ D s R 3s D s R 4s ( R 4s ) 1 R 3s ] = [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 4s D s R 4s ] 1 [ D s R 3s ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 3s ] .
(E) 1 = 1 2 [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 1s D s R 1s ] 1 [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 4s D s R 4s ].
R 0n (1) R 0n (2) R 0n (1) R 0n (2) ={ 1 c( ξ 2 1) (forprolatespheroid) 1 c( ξ 2 +1) (foroblatespheroid) ,
= [ R 4s (D s ) 1 D f R 3f ρ s ρ f R 4s (D s ) 1 D f R 3f ] 1 ×{ 2i c s ( ξ 2 1) 2i c s ( ξ 2 +1) .
[ R 4s (D s ) 1 D f R 3f ρ s ρ f R 4s (D s ) 1 D f R 3f ] 1 [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 1s D s R 1s ] 1 = [ R 1s (D s ) 1 D f R 3f ρ s ρ f R 1s (D s ) 1 D f R 3f ] 1 [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 4s D s R 4s ] 1 ,
(E) 1 = [ R 1s (D s ) 1 D f R 3f ρ s ρ f R 1s (D s ) 1 D f R 3f ] 1 ×{ i c s ( ξ 2 1) i c s ( ξ 2 +1) .
P f = (E) 1 R 1s (D s ) 1 A×{ i c s ( ξ 2 1) i c s ( ξ 2 +1) .
P f_i = R 1s (D s ) 1 A×{ i c s ( ξ 2 1) i c s ( ξ 2 +1) ,
P f = (E) 1 P f_i .
2 (E) 1 = [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 1s D s R 1s ] 1 [ D s R 3s ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 3s ].
R 3s = ( R 1s ) 1 R 1s R 3s ( R 1s ) 1 ×{ i c s ( ξ 2 1) i c s ( ξ 2 +1)
2 (E) 1 = R 3s ( R 1s ) 1 [ ρ f ρ s D f R 3f ( R 3f ) 1 (D f ) 1 D s R 1s D s R 1s ] 1 D s ( R 1s ) 1 ×{ i c s ( ξ 2 1) i c s ( ξ 2 +1) .
P s_i = R 3s (D s ) 1 A×{ i c s ( ξ 2 1) i c s ( ξ 2 +1) ,
P s =2 (E) 1 P f_i + P s_i .
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