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calculus and analysis - How to convert a system of parametric equations to a normal equation?


For example, I have a system of parametric equations (R is a constant number) :


{ x == p +  R Cos[k],
y == Cos[p] + R Sin[k],
k == ArcTan[ 1/Sin[p] ] }

Now I am going to find the normal equation of $\; y = f(x)\;$ without other variables. (Theoretically it is possible because there are totally 4 variables and 3 equations.)



How can I do this in Mathematica?



Answer



First, for the sake of simplicity let's define eqs - the system of our interest :


eqs = { x == p + R Cos[k],
y == Cos[p] + R Sin[k],
k == ArcTan[ 1/Sin[p]] };

Equations y = y(x)


For this system we can find an explicit equation $\;y = y(x)\;$ only assuming R == 0, otherwise we could find only implicit solutions.


Solve[ eqs /. R -> 0, y, {p}, MaxExtraConditions -> All]



{{y -> ConditionalExpression[Cos[x], k == ArcTan[Csc[x]]]}}

See e.g. Inverse function theorem for the general issue of invertibility, let's restrict to :


eqs[[1]] /. (Rule @@@ eqs)[[3]]


x == p + R/Sqrt[1 + Csc[p]^2]


When R is given, one could invert $\;x = x(p)\;$ in a neighbourhood of $p_{0}$ to get $\;p = p(x)\;$ if $\frac{dx}{dp}|_{p=p_{0}} \neq 0$, i.e. only for special ranges of p where $\frac{dx}{dp}$ doesn't vanish. While it would work well on the symbolic level using InverseFunction, but generically there is no way to get explicit formulae. We can animate dependence of the function $\;x = x(p)\;$ : p + R Cos[ArcTan[1/Sin[p]]] and its inverse function $\;p = p(x)\;$ on the running parameter -1 < R < 1 (then $x(p)$ is globally invertible). We add the symmetry axis p == x.


Animate[ Plot[ { p + R Cos[ArcTan[1/Sin[p]]],
p,
InverseFunction[ # + R Cos[ ArcTan[ 1/Sin[#]]] &]@p }, {p, -Pi, Pi},

PlotPoints -> 80, PlotRange -> {-3.3, 3.3},
PlotStyle -> {Thick, Dashed, Thick}],
{R, -1, 1} ]

enter image description here



Equations y = y(k)


We can get an equation for y in an implicit form using Eliminate and then solve the equation with respect to y :


Eliminate[ eqs, {x, p}, InverseFunctions -> True]
Reduce[%, y]


(-1 + y^2 - 2 R y Sin[k] + R^2 Sin[k]^2) Tan[k]^2 == -1

Tan[k] != 0 &&
(y == Cot[k]^2 (R Sin[k] Tan[k]^2 - Sqrt[-Tan[k]^2 + Tan[k]^4]) ||

y == Cot[k]^2 (R Sin[k] Tan[k]^2 + Sqrt[-Tan[k]^2 + Tan[k]^4]) )

We've got solutions in terms of k only. This is the best one can do for your system,
otherwise to get an equation for y in terms of x we should invert $\;k = k(x)\;$ to get $\;y = y(x)\;$


First @ Solve[ k == ArcTan[ Csc[ p]], p]


{p -> ArcCsc[Tan[k]]}

We could do that analogically as in the case $\;p = p(x)\;$, i.e using InverseFunction.



Equations y = y(p)


You could as well try another way of eliminating variables while solving equations (as pointed out by Searke) i.e. Solve[ eqns, vars, elims], and using MaxExtraConditions -> All to get also non-generic solutions, here we eliminate k to get a solution in terms of p :


Solve[ eqs, y, k, MaxExtraConditions -> All]


{{y -> ConditionalExpression[(R Csc[p] + Cos[p] Sqrt[1 + Csc[p]^2])/ Sqrt[1 + Csc[p]^2], 
Sqrt[1 + Csc[p]^2] != 0 &&
p - x + R/Sqrt[1 + Csc[p]^2] == 0]}}

The second argument in ConditionalExpression is the condition which has to be satisfied.



Nevertheless you could do the following to express y in terms of p and x :


Solve[ eqs, {y, k}]


{{y -> -Sqrt[-p^2 + R^2 + 2 p x - x^2] + Cos[p], k -> ArcTan[Csc[p]]},
{y -> Sqrt[-p^2 + R^2 + 2 p x - x^2] + Cos[p], k -> ArcTan[Csc[p]]}}

or


 Reduce[eqs, y, Backsubstitution -> True]



x == (R + p Sqrt[1 + Csc[p]^2])/Sqrt[1 + Csc[p]^2] && k == ArcTan[Csc[p]] && 
y == (R Csc[p] + Cos[p] Sqrt[1 + Csc[p]^2])/Sqrt[1 + Csc[p]^2]

There is another approach to get x in terms of y and p :


Eliminate[eqs, {x, k}, InverseFunctions -> True] //
Simplify[#, x == p + R Cos[k]] &

Reduce[%, x]



R^2 + 2 y Cos[p] == (p - x)^2 + y^2 + Cos[p]^2

x == p - Sqrt[R^2 - y^2 + 2 y Cos[p] - Cos[p]^2] ||
x == p + Sqrt[R^2 - y^2 + 2 y Cos[p] - Cos[p]^2]

Above, in all cases we have to use ReplaceAll (i.e. /.) and InverseFunction wherever appear p or k to get $\;p = p(x)\;$ or $\;k = k(x)\;$.


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