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I want to plot region for z numbers that satisfy D<10^-4.

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How do I plot the region showing z=x+iy values that make the difference between a polynomial and an exponential function less than 10^-4?
For example;
syms z
[x,y]=meshgrid(-6:.1:2,-6:.1:6);
z=x+1i*y;
R = - 0.0000000000000042786173933199698996786792332228*z.^16 + 0.000000000000093679201874795131075154866430805*z.^15 ...
- 0.0000000000018102462775238750488561630646573*z.^14 + 0.000000000070607888835529581094992975687635*z.^13 ...
- 0.00000000047430380749604348847250198255397*z.^12 + 0.0000000060302178555555310479780219749732*z.^11 ...
- 0.00000014850754796722791834393401507891*z.^10 - 0.0000011975088237244406931082370289037*z.^9 ...
- 0.00000486020688657407415163842024264*z.^8 + 0.000027465820312500018146735337769556*z.^7 ...
+ 0.0010023328993055556912781216101668*z.^6 + 0.0080891927083333337897961540664676*z.^5 ...
+ 0.041666666666666667576168711195926*z.^4 + 0.16666666666666666756898545265065*z.^3 + 0.5*z.^2 + 1.0*z + 1.0;
T = exp(z);
D = R-T;
I want to plot region for z numbers that satisfy D<10^-4.
How can I do that? I would be appreciate if you help.

Risposta accettata

Torsten
Torsten il 8 Giu 2022
Modificato: Torsten il 8 Giu 2022
R1 = @(x,y)- 0.0000000000000042786173933199698996786792332228*(x+1i*y).^16 + 0.000000000000093679201874795131075154866430805*(x+1i*y).^15 ...
- 0.0000000000018102462775238750488561630646573*(x+1i*y).^14 + 0.000000000070607888835529581094992975687635*(x+1i*y).^13 ...
- 0.00000000047430380749604348847250198255397*(x+1i*y).^12 + 0.0000000060302178555555310479780219749732*(x+1i*y).^11 ...
- 0.00000014850754796722791834393401507891*(x+1i*y).^10 - 0.0000011975088237244406931082370289037*(x+1i*y).^9 ...
- 0.00000486020688657407415163842024264*(x+1i*y).^8 + 0.000027465820312500018146735337769556*(x+1i*y).^7 ...
+ 0.0010023328993055556912781216101668*(x+1i*y).^6 + 0.0080891927083333337897961540664676*(x+1i*y).^5 ...
+ 0.041666666666666667576168711195926*(x+1i*y).^4 + 0.16666666666666666756898545265065*(x+1i*y).^3 + 0.5*(x+1i*y).^2 + 1.0*(x+1i*y) + 1.0;
R2 = @(x,y) sum((x+1i*y).^(0:16)./factorial(0:16));
T = @(x,y) exp(x+1i*y);
fun1 = @(x,y)norm(R1(x,y)-T(x,y))-1e-4;
fun2 = @(x,y)norm(R2(x,y)-T(x,y))-1e-4;
fimplicit(fun1)
Warning: Function behaves unexpectedly on array inputs. To improve performance, properly vectorize your function to return an output with the same size and shape as the input arguments.
hold on
fimplicit(fun2)
Warning: Function behaves unexpectedly on array inputs. To improve performance, properly vectorize your function to return an output with the same size and shape as the input arguments.
  4 Commenti
Leia
Leia il 10 Giu 2022
This polynomial have found as an approximate solution to a differential equation by a spectral numerical method.
Torsten
Torsten il 10 Giu 2022
And the differential equation has exp(z) as solution ?

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