Cosh of a variable
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Hi. I need to solve the equation to get a variable from another variable. The equation is:
C(w)=Cosh[acosh(x1)+acosh(x2)+acosh(x3)+acosh(x4)]
x1=(w-0.641)/(1-0.641*w)
x2=(w+0.641)/(1+0.641*w)
x3=w
x4=w
Now since w ranges from -inf to inf I'm supposed to get C(w) as a function of w. Any guidance on how I can solve this?
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Accepted Answer
John D'Errico
on 9 Mar 2021
Edited: John D'Errico
on 9 Mar 2021
You do it by writing much like what you did, but in the proper order, and using proper syntax. For example, using symbolic tools, we might do this:
syms w
x1=(w-0.641)/(1-0.641*w);
x2=(w+0.641)/(1+0.641*w);
x3=w;
x4=w;
LEARN TO USE SEMICOLONS! As well, LEARN TO USE PARENS PROPERLY. Functions use (), NOT []. Just because you think an expression is easier to read if you use [] in some places, that does not make MATLAB understand your syntax. {} and () do different things.
C = cosh(acosh(x1)+acosh(x2)+acosh(x3)+acosh(x4))
fplot(C)
If you wanted to write this purely using function handles, it is as easy.
x1 = @(w) (w-0.641)./(1-0.641*w);
x2 = @(w) (w+0.641)./(1+0.641*w);
x3 = @(w) w;
x4 = @(w) w;
As you can see here, I used ./ to denote a division, so this will work for vectorized computations.
Cfun = @(w) cosh(acosh(x1(w))+acosh(x2(w))+acosh(x3(w))+acosh(x4(w)))
And now we can evaluate the function handle in Cfun as:
Cfun([0:0.25:1]')
Be careful, as for large magnitude inputs, it seems there is a small imaginary part that seems to arise when the computations are performed in double precision.
3 Comments
John D'Errico
on 9 Mar 2021
Sure. All you need to do is recognize the identity...
cosh(X) = (exp(X) + exp(-X))/2
That allows you to eliminate the cosh calls. As for the acosh, no such luck.
But I think you do not mean something so trivial. The answer then is no. As it is, you should/can be happy there is a simply evaluatable expression. But there will be no simple expression in the form of a polynomial, or something as trivial to write.
Could you express this function as a polynomial approximation? Probably. Well, possibly. And without a moderate amount of analysis, I would not tell you where that polynommial approximation would have any value in terms of convergence. But you might try to approximate the result in the form of a truncated Taylor series approximation that would be valid over some interval, or you might try using a Pade approximant. I don't see the point of using an approximation here that will be highly problematic in terms of convergence, when you have a rather simple expression that can be evaluated directly.
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