coupler_parametric=[5163136522924301/2251799813685248,...
2^(1/2)/2 - (8*t)/(t^2 + 1), - (4*(t^2 - 1))/(t^2 + 1) - 2]
coupler_parametric =
f = matlabFunction(norm(coupler_parametric));
Now, it appears you want to solve for the solutions of f(t)=4.5, or any specific value.
I would point out it is entirely possible there will be no algebraic solution exists for that problem. But perhaps we can look more closely. What is the norm? Simply the square root of the sum of squares. We can write the square of that norm simply enough for any value. I'll leave it in symbolic form to start...
normsq = expand(sum(coupler_parametric.^2) - targetvalue^2)
normsq =
As you can see, this is a rational polynomial in t. We can turn it into a regular polynomial in t, by multiplying by (t^2+1)^2. This is always legal, since t is real, and therefore t^2+1 will never be zero.
normpoly = simplify(normsq*(t^2+1)^2)
vpa(expand(normpoly),4)
ans = So as it turns out, your problem reduces to a degree 4 polynomial in t. A solution will always exist. Actually, 4 solutions will exist, but they need not be real. Since you wanted real solutions, this will do it.
tsolve = solve(normpoly,t,'maxdegree',4,'returnconditions',true)
tsolve =
t: [2x1 sym]
parameters: [1x0 sym]
conditions: [2x1 sym]
It appears from the plot that no real solution will exist if the targetvalue is less than around 3, nor does it look like a real solution exists if the targetvalue is too large too. And that will get factored into the conditions.
vpa(subs(tsolve.t,targetvalue,3.5))
ans =