We can treat the variable $y$ as an element $[y_1 \colon y_2]$ of the projective line. In code, this means replacing y[x]
by y1[x]/y2[x]
. For an IVP $y' = f(x, y), \ y(x_0) = y_0$, we translate the initial condition as $y_1(x_0) = y_0, \ y_2(x_0) = 1$. Since the substitution yields an equation in two variables $y_1$, $y_2$,
$$y_1'y_2-y_1y_2'=y_2^2\;f(x,\,y_1/y_2)\,,$$
we need another equation. So to get a unique solution, we impose the condition in code as
y1[x]^2 + y2[x]^2 == y0^2 + 1
Since this condition is satisfied initially, NDSolve
will use it in conjunction with the ODE to determine y1[x]
and y2[x]
at each step. We can use this condition as it is and solve the system as a differential-algebraic equation (DAE); or we can differentiate it and solve the system as an ODE. The important difference is that the methods and precision available for DAEs are limited.
eqn = y'[x] == 1 + y[x]^2;
blowup = {y -> (y1[#]/y2[#] &)};
newfn = eqn /. blowup /. Equal -> Subtract // Together // Numerator;
newDAE = {newfn == 0, y1[x]^2 + y2[x]^2 == y0^2 + 1};
newODE = {newfn == 0, D[y1[x]^2 + y2[x]^2 == y0^2 + 1, x]};
Block[{x0 = 0, y0 = 0},
sol = NDSolve[{newDAE, y1[x0] == y0, y2[x0] == 1}, {y1, y2}, {x, 0, 10}]
];
Block[{x0 = 0, y0 = 0},
sol = NDSolve[{newODE, y1[x0] == y0, y2[x0] == 1}, {y1, y2}, {x, 0, 10}]
];
Both solutions yield the same plots:
Plot[y[x] /. blowup /. First@sol // Evaluate, {x, 0, 10}]
Compare by overlaying the graph of tangent, the exact solution in this example:
Plot[{y[x] /. blowup /. First@sol, Tan[x]} // Evaluate, {x, 0, 10}]
Update: Another view of what is happening.
A standard model of the projective line $[y_1\colon y_2]$ is a unit-diameter circle tangent to an axis. The corresponding affine line $y$ is given by $y_2 = 1$. Here we project the solution in terms of {y1[x], y2[x]}
onto the desired solution y[x]
(for x
running from 0
to 10
).
The projection from the circle model of the projective line onto the affine line y2 == 1
. (The cylinder is the product of the interval 0 <= x <= 10
and the projective line or circle.)
cplot2 = ContourPlot3D[y1^2 + y2^2 == y2,
{x, 0, 10}, {y1, -1.05, 1.05}, {y2, -0.05, 1.05},
ContourStyle -> Opacity[0.3], Mesh -> None];
base = Show[
ParametricPlot3D[
Evaluate[{x, ( y1[x] y2[x])/(y1[x]^2 + y2[x]^2), y2[x]^2/(
y1[x]^2 + y2[x]^2)} /. First@sol], {x, 0, 10}],
ParametricPlot3D[
Evaluate[{x, y[x] /. blowup, 1} /. First@sol], {x, 0, 10},
PlotStyle -> ColorData[97, 3], Exclusions -> Cos[x] == 0],
(*cplot1,*)cplot2,
PlotRange -> {{0, 10}, {-2, 2}, {-0.1, 3.05}},
AxesLabel -> {x, y1, y2}];
(* * * * *)
Manipulate[
Show[
base,
Graphics3D[{
Gray,
Table[InfiniteLine[{{0, y, 1}, {10, y, 1}}], {y, -2, 2}],
Table[
InfiniteLine[{{x0, -1, 1}, {x0, 1, 1}}], {x0, 0, 10, Pi/2}],
Red, Thickness[Medium],
Line[{{0, 0, 0}, {10, 0, 0}}],
InfiniteLine[{{x, 0, 0}, {x, y[x] /. blowup /. First@sol, 1}}],
PointSize[Large],
Point[{{x, 0, 0}, {x, y[x], 1}, {x, ( y1[x] y2[x])/(
y1[x]^2 + y2[x]^2), y2[x]^2/(y1[x]^2 + y2[x]^2)}} /.
blowup /. First@sol]
}]
],
{x, 0, 10}
]
InterpolatingFunction[]
assumes that whatever it's approximating is continuous (thus, pole-free) throughout its domain... $\endgroup$