Skip to main content

equation solving - How to guess initial complex value for FindRoot


I have to solve a transcendental equation for a parameter, say $\beta$. Now, the $\beta$ has a range from $ik$ to $k$ where $i$ is the usual imaginary root $\sqrt{-1}$ and $k$ is a real number. Problem is, the transcendental equation has multiple solutions, and so I cannot guess what will be the proper choice for the initial value of $\beta$ in FindRoot. I could do it if $\beta$ ranges from $p$ to $q$ where $p$ and $q$ are reals by plotting the transcendental equation's lhs and rhs. However, I don't know how to plot complex ranges. Is there any way to guess the initial values?




Code I used:


e1 = 1; e2 = -1; e0 = 8.854*^-12; mu0 = 1.257*^-6; c = 3.0*^8; w = 2*Pi*2*^14;
k = w/c; a = 600*^-9; k1 = w*Sqrt[e1]/c; k2 = w*Sqrt[e2]/c; b = p + q I;

u = Sqrt[k1^2 - b^2]; ww = Sqrt[b^2 - k2^2]; v = 1;

t1 = (BesselJ[v - 1, u a] - BesselJ[v + 1, u a])/(2*u*BesselJ[v, u a]);
t2 = -(BesselK[v - 1, ww a] + BesselK[v + 1, ww a])/(2*ww* BesselK[v, ww a]);

x = (e1 t1 + e2 t2) (t1 + t2); y = ((b*v)/(k*a))*(1/u^2 + 1/ww^2);

ClickPane[ ContourPlot[{Re[x - y^2], Im[x - y^2]}, {p, 0, k}, {q, 0, k}],
(xycord = #) & ] Dynamic[xycord]

Answer




One method I use is to separately plot the zero contours of the real and imaginary parts of the equation whose complex roots are being sought.


As a particular example, say I want the complex roots $z=x+iy$ of the error function,


$$\mathrm{erf}(z)=0$$


in the first quadrant, $0

I do something like this:


plt = ContourPlot[{Re[Erf[x + I y]] == 0, Im[Erf[x + I y]] == 0}, {x, 0, 5}, {y, 0, 5}]

contours of real and imaginary parts


One option is manual: right-click on the image, click "Get Coordinates", pick out and click on a crossing, and then press Ctrl+C to copy the coordinates. For instance, if I want the root of least magnitude, my attempt at performing that procedure yields the point {1.453, 1.887}, which can then be fed to FindRoot[]:


FindRoot[Erf[z] == 0, {z, 1.453 + 1.887 I}]

{z -> 1.450616163243677 + 1.8809430001533158*I}

A better approach to finding these roots is to use a utility function called FindAllCrossings2D[] due to Stan Wagon. Here's how to use it:


sols = FindAllCrossings2D[{Re[Erf[x + I y]], Im[Erf[x + I y]]}, {x, 0, 5}, {y, 0, 5}]
{{1.4506161632436756, 1.8809430001533154}, {2.2446592738032476, 2.61657514068944},
{2.839741046908047, 3.175628099643187}, {3.3354607354411554, 3.646174376387361},
{3.7690055670142044, 4.060697233933308}, {4.158998399781451, 4.435571444236523},
{4.516319399583921, 4.78044764414843}}

Conversion to the corresponding complex roots is easy, of course:



#1 + I #2 & @@@ sols

You can graphically verify the roots, too:


Show[plt, Epilog -> {AbsolutePointSize[4], Red, Point[sols]}]

contours and roots


Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

equation solving - Invert and fit implicitly defined curve

I need to fit an implicitly defined curve. I thought I could get some data out of Solve , and then using FindFit . Therefore, I would like to find the relation the parametric curve defined by $F(x,y)=0$: Solve[-(1/2) + 1/2 (0.41202 BesselK[0, 0.1 Sqrt[x^2 + y^2]] + (0.101483 x BesselK[1, 0.1 Sqrt[x^2 + y^2]])/Sqrt[x^2 + y^2]) == 0, y] But I can't get an output: Solve was unable to solve the system with inexact coefficients or the system obtained by direct rationalization of inexact numbers present in the system. Since many of the methods used by Solve require exact input, providing Solve with an exact version of the system may help. >> Edit: In particular, I would like to fit the data coming from the curve with the expression of another curve, and not with a function $f(x)$. In particular, since this clearly looks like a cardioid , I would like it to fit to something like it. What other strategies could I try?

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...