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Nonlinear Optical Ring-Cavity Model Driven by a Gas Laser

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Abstract

The development of spontaneous stationary equilibrium patterns induced by the injection of a laser pump field into a purely absorptive two-level atomic sodium vapor ring cavity is investigated by means of a hexagonal planform nonlinear stability analysis applied to the appropriate governing evolution equation for this optical phenomenon. In the quasi-equilibrium limit for its atomic variables, the mathematical system modelling that phenomenon can be reduced to a single modified Swift-Hohenberg nonlinear partial differential time-evolution equation describing the intracavity field on an unbounded two-dimensional spatial domain. Diffraction of radiation can induce transverse patterns consisting of stripes and hexagonal arrays of bright spots or honeycombs in an initially uniform plane-wave configuration. Then, these theoretical predictions are compared with both relevant experimental evidence and existing numerical simulations from some recent nonlinear optical pattern formation studies. There are four problems: The first two fill in some details of this analysis while the last two examine bistability for a related nonlinear optical phenomenon and hexagonal pattern formation for the relevant amplitude-phase equations with a hypothetical growth rate and set of Landau constants.

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Authors and Affiliations

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Correspondence to David J. Wollkind .

Problems

Problems

Problems 17.1 and 17.2 depend upon the function \(F(A, A^*)\) defined in Section 17.1 when \(\Delta = 0\) given by

$$\begin{aligned} G(A, A^*) = -(1 + A)\left[ 1 + i\theta + \frac{\beta }{1 + \alpha (1 + A)(1 + A^*)}\right] . \end{aligned}$$

Define

$$\begin{aligned} \gamma _{n\ell } = \frac{1}{(n-\ell )!\ell !}\frac{\partial ^n G(0,0)}{\partial A^{n-\ell }\partial {A^*}^\ell }. \end{aligned}$$

Then

$$\begin{aligned} \gamma _{10} = -\left( 1 + \frac{\beta }{D^2} + i\theta \right) , \, \gamma _{11} = \frac{\alpha \beta }{D^2} \text{ with } D = 1 + \alpha ; \end{aligned}$$
$$\begin{aligned} \gamma _{20} = \frac{\alpha \beta }{D^3}, \, \gamma _{21} = \frac{2\alpha \beta }{D^3}, \, \gamma _{22} = -\frac{\beta \alpha ^2}{D^3}; \end{aligned}$$
$$\begin{aligned} \gamma _{30} = -\frac{\beta \alpha ^2}{D^4}, \, \gamma _{31} = \frac{\alpha \beta (1 - 2\alpha )}{D^4}, \, \gamma _{32} = -\frac{3\beta \alpha ^2}{D^4}, \, \gamma _{33} = \frac{\beta \alpha ^3}{D^4}. \end{aligned}$$

17.1.

LetA of (17.1.9) be of the form

$$\begin{aligned} A(x,y, t) = \varepsilon _1 \mathcal {A}_1(x,y, t) + O(\varepsilon _1^2) \text{ where } |\varepsilon _1|<< 1. \end{aligned}$$
  1. (a)

    Show that the linear problem discussed in Section 17.1 satisfies

    $$\begin{aligned} \frac{\partial \mathcal {A}_1}{\partial t} = \gamma _{10}\mathcal {A}_1 + \gamma _{11}\mathcal {A}_1^*+ i\chi \nabla _2^2 \mathcal {A}_1. \end{aligned}$$
    (P1.1a)
  2. (b)

    Taking the complex conjugate of (P1.1a) obtain

    $$\begin{aligned} \frac{\partial \mathcal {A}_1^*}{\partial t} = \gamma _{10}^*\mathcal {A}_1^*+ \gamma _{11}\mathcal {A}_1 - i \chi \nabla _2^2 \mathcal {A}_1^*. \end{aligned}$$
    (P1.1b)
  3. (c)

    Conclude that seeking a normal-mode solution of (P1.1) of the form (17.1.10a) yields the following linear homogeneous system of equations for \(k_1\) and \(k_2\):

    $$\begin{aligned} \left[ \sigma + 1 + \frac{\beta }{D^2} + i(\theta + \chi q^2)\right] k_1 - \frac{\alpha \beta k_2}{D^2} = 0, \end{aligned}$$
    (P1.2a)
    $$\begin{aligned} -\frac{\alpha \beta k_1}{D^2} + \left[ \sigma + 1 + \frac{\beta }{D^2} - i(\theta + \chi q^2)\right] k_2 = 0. \end{aligned}$$
    (P1.2b)
  4. (d)

    Deduce that the vanishing of the determinant of the matrix of coefficients of (P1.2) required by the nontriviality condition of (17.1.10b) results in the secular equation

    $$\begin{aligned} \sigma ^2 + 2\left[ 1+ \frac{\beta }{(\alpha + 1)^2}\right] \sigma + \left[ 1 + \frac{\beta }{(\alpha + 1)^2}\right] ^2 - \left[ \frac{\alpha \beta }{(\alpha + 1)^2}\right] ^2 + (\theta + \chi q^2)^2 = 0. \end{aligned}$$
    (P1.3a)
  5. (e)

    Finally, demonstrate that (P1.3a) is equivalent to (17.1.11a) by employing the difference of squares

    $$\begin{aligned} \left[ 1 + \frac{\beta }{(\alpha + 1)^2}\right] ^2 - \left[ \frac{\alpha \beta }{(\alpha + 1)^2}\right] ^2 = \left[ 1 + \frac{\beta (1 - \alpha )}{(\alpha + 1)^2}\right] \left[ 1 + \frac{\beta }{\alpha + 1}\right] . \end{aligned}$$
    (P1.3b)

17.2.

Rewrite the equation for A in Section 17.1 when \(\Delta = 0\) as

$$\begin{aligned} A_t \sim \gamma _{10}A + \gamma _{11}A^*+ \gamma _{20}A^2 +&\gamma _{21}AA^*+ \gamma _{22}{A^*}^2 + \gamma _{30}A^3 + \gamma _{31}A^2 A^*+ \gamma _{32}A{A^*}^2 \end{aligned}$$
(P2.1)
$$\begin{aligned} + \gamma _{33}{A^*}^3 + i\chi \nabla _2^2 A. \end{aligned}$$
(17.4.1)
  1. (a)

    Letting \(A = R + iI\) with \(\theta = -\chi q_c^2 = -1\) and representing \(\gamma _{10} = \gamma _{10}^{(r)} + i \chi q_c^2\) where \(\gamma _{10}^{(r)} = -(1 + \beta /D^2)\) in (P2.1) obtain

    $$\begin{aligned} R_t + iI_t \sim \gamma _{10}^{(r)}(R +iI) + \gamma _{11}(R - iI) + \gamma _{20}(R^2 + 2iRI - I^2) + \gamma _{21}(R^2 + I^2) \end{aligned}$$
    (P2.2)
    $$\begin{aligned}&+ \gamma _{22}(R^2 - 2iRI - I^2) + \gamma _{30}(R^3 + 3iR^2I - 3RI^2 - iI^3) + \gamma _{31}(R^3 + iR^2I + RI^2 + iI^3)\nonumber \\&+\gamma _{32}(R^3 - iR^2I + RI^2 - iI^3) + \gamma _{33}(R^2 - 3iR^2I - 3RI^2 + iI^3) + i\chi (\nabla _2^2 + q_c^2)(R + iI). \end{aligned}$$
    (17.4.2)
  2. (b)

    Separating the real and imaginary parts of (P2.2) and retaining terms through third order on the right-hand side of the former and through second order on the corresponding side of the latter while noting I, in this context, actually represents a second-order effect (see below) show that

    $$\begin{aligned} R_t\sim [\gamma _{10}^{(r)} + \gamma _{11}]R + (\gamma _{20} + \gamma _{21} + \gamma _{22})R^2 + (\gamma _{30} + \gamma _{31} + \gamma _{32} + \gamma _{33})R^3 - \chi (\nabla _2^2 + q_c^2)I, \end{aligned}$$
    (P2.3a)
    $$\begin{aligned} I_t \sim [\gamma _{10}^{(r)} - \gamma _{11}]I + \chi (\nabla _2^2 + q_c^2)R. \end{aligned}$$
    (P2.3b)
  3. (c)

    Upon simplifying the coefficients in these equations make the following identifications:

    $$\begin{aligned} \gamma _{10}^{(r)} + \gamma _{11} = -1 + \frac{\beta (\alpha - 1)}{(\alpha + 1)^2} = \sigma _R(\alpha ,\beta ), \end{aligned}$$
    (P2.4a)
    $$\begin{aligned} \gamma _{10}^{(r)} - \gamma _{11} = -1 -\frac{\beta }{\alpha + 1} = \sigma _I(\alpha ,\beta ), \end{aligned}$$
    (P2.4b)
    $$\begin{aligned} \gamma _{20} + \gamma _{21} + \gamma _{22} = \frac{\beta \alpha (3 - \alpha )}{(\alpha + 1)^3} = -\omega _0(\alpha ,\beta ), \end{aligned}$$
    (P2.4c)
    $$\begin{aligned} \gamma _{30} + \gamma _{31} + \gamma _{32} + \gamma _{33} = \frac{\beta \alpha [(\alpha + 1)^2 - 8\alpha ]}{(\alpha + 1)^4} = -\omega _1(\alpha ,\beta ). \end{aligned}$$
    (P2.4d)
  4. (d)

    Finally, employing (P2.4) in (P2.3), assuming in addition that (P2.3b) satisfies the quasi-equilibrium condition

    $$\begin{aligned} I \sim - \frac{\chi }{\sigma _I(\alpha ,\beta )}(\nabla _2^2 + q_c^2)R, \end{aligned}$$
    (P2.5)

    and using this asymptotic relation to eliminate I from (P2.3a), deduce the modified Swift–Hohenberg equation (17.1.14)

    $$\begin{aligned} R_t \sim \sigma _R(\alpha ,\beta )R - \omega _0(\alpha ,\beta )R^2 - \omega _1(\alpha ,\beta )R^3 + \frac{\chi ^2}{\sigma _I(\alpha ,\beta )}(\nabla _2^2 + q_c^2)^2 R, \end{aligned}$$
    (P2.6a)

    where

    $$\begin{aligned} \omega _0(\alpha ,\beta ) = \frac{\beta \alpha (\alpha - 3)}{(\alpha + 1)^3}, \, \omega _1(\alpha ,\beta ) = \frac{\beta \alpha [8\alpha ^2 - (\alpha + 1)^2]}{(\alpha + 1)^4}. \end{aligned}$$
    (P2.6b)

17.3.

In their study of pattern formation driven by a pump field in a unidirectional ring cavity containing a so-called Kerr medium Scroggie et al. [113] deduced the following relationship between \(X_e\) and Y analogous to (17.1.5a) but with \(\theta > 0\)

$$\begin{aligned} Y = X_e[1 + i\eta (|X_e|^2 - \theta )^2] \end{aligned}$$
(P3.1a)

where the parameter \(\eta \) equals \(+1\) for a self-focusing Kerr medium and \(-1\) for a self-defocusing one. Hence \(|\eta | = 1\). A Kerr medium is a material the refractive index of which changes with an applied electric field. This change is proportional to the square of the intensity of the applied field and is positive for a self-focusing medium while it is negative for a self-defocusing one.

  1. (a)

    Taking the complex conjugate of (P1.1a) deduce that

    $$\begin{aligned} Y^*= Y = X_e^*[1 - i\eta (|X_e|^2 - \theta )^2]. \end{aligned}$$
    (P3.1b)
  2. (b)

    Computing the product of (P3.1a) and (P3.1b) derive the analogous relationship to (17.1.5b)

    $$\begin{aligned} YY^*= Y^2 = \alpha [1 + (\alpha - \theta )^2] = \alpha ^3 - 2\theta \alpha ^2 + (1 + \theta ^2)\alpha \text{ where } \alpha = X_eX_e^*= |X_e|^2. \end{aligned}$$
    (P3.2)

    Note that this relationship is independent of \(\eta \) by virtue of \(|\eta | = 1\).

  3. (c)

    Taking the derivative of (P3.2) with respect to \(\alpha \) obtain that

    $$\begin{aligned} \frac{dY^2}{d\alpha } = 3\alpha ^2 - 4\theta \alpha + 1 + \theta ^2. \end{aligned}$$
    (P3.3)
  4. (d)

    Conclude from (P3.3) that \(dY^2/d\alpha > 0\) for \(0< \theta < \theta _{\text {crit}}\) where \(\alpha \) satisfies

    $$\begin{aligned} 3\alpha ^2 - 4\theta \alpha + 1 + \theta ^2 > 0, \end{aligned}$$
    (P3.4a)

    and \(\theta _{\text {crit}}\) corresponds to that \(\theta \)-value such that the discriminant of the related quadratic equation

    $$\begin{aligned} a\alpha ^2 + b\alpha + c = 0 \text{ with } a = 3, \, b = -4\theta , \, c = 1 + \theta ^2 \end{aligned}$$
    (P3.4b)

    vanishes or

    $$\begin{aligned} \mathcal {D} = b^2 - 4ac = 0. \end{aligned}$$
    (P3.4c)
  5. (e)

    Calculating the discriminant of (P3.4) show that

    $$\begin{aligned} \mathcal {D} = 4(\theta _{\text {crit}}^2 - 3) = 0 \text{ or } \theta _{\text {crit}} = \sqrt{3}. \end{aligned}$$
    (P3.5)
  6. (f)

    Finally, from these results deduce that (P3.2) is single-valued in \(Y^2\) for \(0< \theta < \sqrt{3}\) and S-shaped (exhibits optical bistability) for \(\theta > \sqrt{3}\).

17.4.

Consider an interfacial perturbation \(\zeta (x,y, t)\) of an originally planar surface where \(t\equiv \) time and \((x, y)\equiv \) a transverse Cartesian coordinate system, all of which are dimensionless. Upon seeking a real hexagonal planform solution for \(\zeta (x,y, t)\) of the form of (17.3.1), assume it is found that the coefficients of the amplitude–phase equations satisfy

$$\begin{aligned} \sigma = 2(1 - \beta ), \, a_0 = -\alpha , \, a_1 = a_2 = 4(1 + \alpha ^2), \end{aligned}$$
(P4.1a)

for \(\beta > 0\) and \(\alpha \in \mathbb {R}\), an experimentally controllable and a material parameter, respectively. Here the equivalence classes of potentially stable critical points of these equations defined in (17.3.11) have the following morphological identifications: I represents a planar interface; II, parallel ridges; and III\(^\pm \), hexagonal arrays of elevated dots or circular holes, respectively. The orbital stability conditions for those critical points can be posed in terms of \(\sigma \). Thus critical point I is stable in this sense for \(\sigma < 0\) while the orbital stability behavior of II and III\(^\pm \) which depends only on the sign of \(a_0\) (since \(2a_2-a_1 = a_1 > 0\)) and on the quantities \(\sigma _j\) for \(j=-1,1\), and 2 defined in (17.3.10) has been summarized in Table 17.3. Construct a morphological stability diagram analogous to Fig. 17.9 in the physically relevant portion of the \(\alpha \)-\(\beta \) plane consistent with these predictions identifying those regions corresponding to stable dots, ridges, and holes, respectively.

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Wollkind, D.J., Dichone, B.J. (2017). Nonlinear Optical Ring-Cavity Model Driven by a Gas Laser. In: Comprehensive Applied Mathematical Modeling in the Natural and Engineering Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-73518-4_17

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