I have the potential below: $$V(\phi)=-\frac14 a^2(3b-1)\phi^2+\frac12 a(b-1)\phi^3+\frac14 \phi^4 +a^4c$$ This potential has 2 minima, the false vacuum $\phi_f=0$ which tunnels to the global minimum, the so-called true vacuum, at $\phi_t=a$. The parameter $c$ at the potential is responsible for the character of our initial false vacuum ($c>0$ for transitions from de Sitter (dS) space and $c=0$ for transtions from Minkowski space). Here we will take $a=1$ and $b=1/10$.
I want to solve numerically the two-equations problem:
$$\ddot\phi+3\frac{\dot\rho}{\rho}\dot\phi-\xi\phi R=\frac{dV}{d\phi}$$ where $\xi$ is the non-minimal coupling and the dots are $d/d\tau$, and
$$\ddot\rho=\frac{\kappa\rho}{3(1-\kappa\xi\phi^2)}\bigg(-\dot\phi^2-V+3\xi\bigg(\dot\phi^2+\ddot\phi\phi+\dot\phi\phi\frac{\dot\rho}{\rho}\bigg)\bigg)$$
with boundary conditions: $$\dot{\phi}(0)=\dot{\phi}(\tau_{max})=0,\\ \rho(0)=0,\\ \rho(\tau_{max})=0\quad\text{(for dS false vacuum)},\\ \rho(\tau_{max})=\rho_{max}\ne 0\quad\text{(for Minkowski false vacuum)}$$
Also, one more important boundary condition, not refered in the paper but it is obvious at the numericals, is the following: $$\phi(\infty)=\phi(\tau_{max})=\phi_f=0$$
Here $R$ is the curvature scalar and it is defined as: $$R=-6\Bigg(\frac{\ddot\rho\rho+\dot\rho^2-1}{\rho^2}\Bigg)=\frac{\kappa\rho}{(1-\kappa\xi\phi^2)}\bigg(\dot\phi^2+4V-6\xi\bigg(\dot\phi^2+\ddot\phi\phi+3\dot\phi\phi\frac{\dot\rho}{\rho}\bigg)\bigg)$$
I tried to solve this problem by adjusting to my case, lets say $\xi=0.1$ an algorithm made by jdp in my previous question about the curved case problem ($\xi=0$). But, no light in the horizon, my free-15days trial has been expired, maybe i have to renew it, my cracked edition does not support the manipulate command. I post the following for your help below:
My first question for the curved case with the jdp coding approach: False vacuum bounce solution (curved space) shooting method problems
The paper with the problem posted here, with all the info you may want : https://arxiv.org/abs/1701.05731
The shooting method recipe used by me and jdp is in the Appendix A.6 of this paper: https://arxiv.org/pdf/2205.03140v2.pdf?fbclid=IwAR0uOAZObsvf1BILxFgbuAZnfhe6L9e-hsO-jElhBJtEHShqBZ7_sQtIEB4
The form of the solutions I want to obtain (printscreens from the 1st paper): For the field $\phi$:
and for the bubble radius $\rho$:
- Also, my bad coding skills for a dS transition ($c=0.05$) with
e
ande0
taking place of jdp'sa
anda0
andx
is $\tau$ and $\kappa=8\pi G=8\pi M_{Pl}^2$. Ηere I took $\kappa=0.03$ from another paper, maybe aManipulate
command could fix this parameter:
u[a_][b_][c_][phi_[x_]]:=-1/4a^2(3b-1)phi[x]^2+1/2a(b-1)phi[x]^3+1/4phi[x]^4+a^4c;
R=k/(1-k*xi*phi[x]^2)*(phi'[x]^2+4u-6xi(phi'[x]^2+phi[x]phi''[x]+3phi'[x]*phi[x]*r'[x]/r[x]));
solve[phi_, r_, x_, xmin_, xmax_, e_, e0_, fv_, k_,xi_,R_, u_] :=
Module[{due, eq},
due = D[u, phi[x]] /. phi[x] -> e;
eq["phi"] = phi''[x] + 3 r'[x]/r[x] phi'[x] -xi*phi[x]*R- D[u, phi[x]] == 0;
eq["r"] = r''[x] + k*r[x]/(3(1-k*xi*phi[x]^2)) (phi'[x]^2 + u-3xi(phi'[x]^2+phi''[x]phi[x]+phi'[x]phi[x]r'[x]/r[x])) == 0;
eq["ic"] = {phi[xmin] == e + 1/8 due xmin^2,
phi'[xmin] == 1/4 due xmin, r[xmin] == xmin, r'[xmin] == 1};
ParametricNDSolve[
Flatten[{eq["phi"], eq["r"], eq["ic"]}], {phi, r}, {x, xmin,
xmax}, {e}]
];
{xmin,xmax,e0,fv,k,xi,a,b,c} = {.01,15,.95,0,.03,.1,1,.1,0.05};
pnds = solve[phi, r, x, xmin, xmax, e, e0,fv,k,xi,R,
u[a][b][c][phi[x]]]
e = (e /. FindRoot[phi[e][xmax] == fv /. pnds, {e, e0}])
Plot[Evaluate[{phi[e][x], r[e][x]/10} /. pnds], {x, xmin, xmax},
PlotLegends -> {"phi[x]", "r[x]/10"}]
I think I covered everything. Sorry for the great extent of my question. Please help me if you can. HEEEEEEELP!!!
xmin=0, xmax=35
. Is it correct? $\endgroup$