NaN Solution Problem with erfi() and erf()

Question

imarquez 2015-8-6

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/232661-nan-solution-problem-with-erfi-and-erf

编辑： Stephen23 2015-8-11

So when I solve for Ff only the first column (1 through 2) is returned with values and the rest are NaN and all of the values for Zf are NaN. Is there any way that I can get a number value out of these? I need them because I'm trying to graph something.

I have tried using erf() and just making whats inside the erf() function a real number but it isn't coming out like it should that way. Any suggestions?

if true
format long
a = 1 
b = 3*10.^-7 
c = 5*10.^-8 
f0 = 4*10.^9 
sigma = 0.2 
t0 = 0 
tmax = 2*b 
t = linspace(t0, tmax)
f =  linspace(10.^6, 10.^10)
omega0 = 2*pi*f0
yt = a*exp((-(t-b).^2)/((2*c).^2))
figure(1)
plot(t,yt)
zt = yt.*(1-((sigma/2)*(1-sin(omega0*t))))
figure(2)
plot(t,zt)
G = -2.*pi.*f.*(pi.*c.^2.*f + sqrt(-1).*b)
D = (((b-(sqrt(-1)).*2.*pi.*c.^2.*f-t0)/(sqrt(2).*c)))
E = (((b-(sqrt(-1)).*2.*pi.*c.^2.*f-tmax)/(sqrt(2).*c)))
Ff = sqrt(pi/2).*a.*c.*exp(G).*((-sqrt(-1).*(erfi(-sqrt(-1).*D)))-((-sqrt(-1).*(erfi(-sqrt(-1).*E)))))
Zf = ((1-(sigma/2)).*Ff) + (sqrt(-1).*sqrt(pi/2).*((a.*c.*sigma)/4).*exp(-((2.*pi.*f+omega0).*(c.^2.*(2.*pi.*f+omega0)+2.*sqrt(-1).*b)))).*(-exp(4.*pi.*c.^2.*f.*omega0+2.*sqrt(-1).*b.*omega0).*((-sqrt(-1).*erfi(((tmax-b+sqrt(-1).*c.^2).*(2.*pi.*f-omega0))/(sqrt(2).*c)))-(-sqrt(-1).*erfi(((t0-b+sqrt(-1).*c.^2).*(2.*pi.*f-omega0))/(sqrt(2).*c))))+(-sqrt(-1).*(erfi(((tmax-b+sqrt(-1)*c.^2).*(2.*pi.*f+omega0))/(sqrt(-1).*c))))-(-sqrt(-1).*erfi(((t0-b+sqrt(-1).*c.^2).*(2.*pi.*f+omega0))/(sqrt(-1).*c))))
figure(3)
plot(f,Zf)
  % code
end

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Answer 1

Ghada Saleh 2015-8-11

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/232661-nan-solution-problem-with-erfi-and-erf#answer_188949

在 MATLAB Online 中打开

Hi Imarquez,

The issue you encountered is not because of 'erfi', it is because you are exceeding the maximum floating number that can be represented in MATLAB. Basically you are computing 'inf-inf' which results in 'NAN'. The 'inf' is a result of calculating 'erfi(c)' where 'c' is some large number. Note that the definition of 'erfi' is an integration of exponential square. To see that, try the following command in MATLAB: