Skip to main content

output formatting - Reduce an equation by putting a new variable


I have the following equation given:


$$ (26-x)\cdot\sqrt{5x-1} -(13x+14)\cdot\sqrt{5-2x} + 12\sqrt{(5x-1)\cdot(5-2x) }= 18x+32. $$


In order to solve it, I want to substitute $t = \sqrt{5x - 1}-\sqrt{5-2x}$. This cannot be done directly but with this step the equation could be transformed in the form $(t-2)^3 = 0$, which can be solved easily.



Is it possible to make this substitution with Mathematica? The only thing I have achieved is to solve it directly with


Solve[(26 - x)*Sqrt[5*x - 1] - (13*x + 14)*Sqrt[5 - 2*x] + 
12*Sqrt[(5*x - 1)*(5 - 2*x)] == 18*x + 32]

Answer



A standard approach for this kind of task uses Eliminate. It works nicely with polynomial equations, and even though neither this transformation : $\;\sqrt{5x - 1}-\sqrt{5-2x} \rightarrow t \quad$ nor the original equation : $ (26-x)\sqrt{5x-1} -(13x+14)\sqrt{5-2x} + 12\sqrt{(5x-1)(5-2x) }= 18x+32\quad$ are of polynomial types, nevertheless we can make some tricks to get exactly $\;(t-2)^3 = 0$.


Defining


f[x_] := (26-x) Sqrt[5x-1] - (13x+14) Sqrt[5-2x] + 12 Sqrt[(5x-1)(5-2x)] - 18x - 32

terms like : $\sqrt{(5x-1)(5-2x)}\;$ should be PowerExpand'ed in order to get the lowest possible order of resulting polynomials (otherwise we would get a ninth order polynomial):


Eliminate[{ f[x] == 0 // PowerExpand, Sqrt[5x-1] - Sqrt[5-2x] == t}, x]



 12 t - 6 t^2 + t^3 == 8

If we didn't play with PowerExpand we would use another definition of function $f$ yielding effectively the same result :


f1[x_] := (26-x) Sqrt[5x-1] - (13x+14) Sqrt[5-2x] + 12 Sqrt[(5x-1)] Sqrt[5-2x] - 18x - 32

Eliminate[{ f1[x] == 0, Sqrt[5x-1] - Sqrt[5-2x] == t}, x]

Now we rewrite the equation we've got -8 + 12 t - 6 t^2 + t^3 == 0 in the following form :



TraditionalForm[-8 + 12 t - 6 t^2 + t^3 == 0 // Factor]

enter image description here


And this is indeed equivalent to our orignial function f[x] :


(t-2)^3 == f[x] /.t-> Sqrt[5x-1] - Sqrt[5-2x] // FullSimplify


 True

Edit



It is remarkable that f being rather a complicated (complex also for real arguments) function has only one simple root :


Reduce[ f[x] == 0, x]


x == 2

which implies t == 2. To make this result more understandable we can plot the contours of f in a complex domain :


GraphicsRow[ Table[ Show[
ContourPlot @@@ { { g[f[x + I y]], {x, -2, 6}, {y, -4, 4}, Contours -> 37,
RegionFunction -> Function[{x, y}, 60 > g[f[x + I y]] > -60],

PlotLabel -> Style[ g[HoldForm @ f[x + I y]], Blue, 15],
ColorFunction -> "DeepSeaColors"},
{ Re @ f[x + I y] == 0, {x, -2, 6}, {y, -4, 4},
ContourStyle -> {Red, Thick}},
{ Im @ f[x + I y] == 0, {x, -2, 6}, {y, -4, 4},
ContourStyle -> {Cyan, Thick}} },
Graphics[{ Thickness[0.01], Darker @ Green, Line[{{0.2, 0}, {2.5, 0}}]}]],

{g, {Re, Im, Abs}}]]


enter image description here


The color curves denote the following sets of points z in the complex plane



  • red ; where: Re[ f[z]] == 0

  • cyan ; where: Im[ f[z]] == 0

  • green ; the set of z where Im[ f[z]] == 0 restricted to the real domain.


One can easily see that these curves cross only at z == {2,0}.


We complement the plots of the function f restricting to the real domain only (here the green line denotes the region where the imaginary part vanishes):


GraphicsRow[

Plot[{ Re @ f[x], Im @ f[x]}, {x, ##}, AxesOrigin -> {0, 0}, PlotRange -> Automatic,
PlotStyle -> { Thick, Thickness[0.008]}, AspectRatio -> 1.1,
Epilog -> { { Thickness[0.01], Darker @ Green, Line[{{0.2, 0}, {2.5, 0}}]},
{ PointSize[0.023], Red, Point[{2, 0}]}}] &
@@@ {{-3, 3}, {-.1, 3.5}, {0.7, 3}}]

enter image description here


Comments

Popular posts from this blog

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1.