Skip to main content

equation solving - How to solve an overdetermined system in Mathematica



I would like to understand the reasons and find a way to avoid such behaviour of the Solve function in Mathematica 8.


Solve[x + y + z == 5 && y == 3 , {x, y}]
(* Out[1]= {{x -> 2 - z, y -> 3}} *)

Solve[x + y + z == 5 && y == 3 , {x}]
(* Out[2]= {} (why empty?) *)

I need to get an answer in the second case. Any suggestions on how to persuade the program to calculate an answer that is even simpler than the first?



Answer



In general, when the system of equations is overdetermined, you have an optimization problem and would therefore not expect Solve or Reduce to be the right tools because the equations are likely not solvable "exactly" but only in some "best possible" way.



You would then instead formulate the optimization problem in terms of a merit function that you attempt to extremize. For example, in a system of linear equations you would want to minimize the sum of squares of the error for each equation.


A simple implementation of this would be to use Minimize, and for more specialized solutions one can use PseudoInverse or SingularValueDecomposition. Since your example is very simple, I'll just try to illustrate how to treat it with Minimize:


Last@Minimize[{(x + y + z - 5)^2, y == 3}, {x}]

Here the y == 3 is entered as a constraint whereas the other equation is converted to a squared "merit function" that has to be minimized. That last function would in general be a sum of several squares if you have more equations.


The result is a Piecewise expression of which we only need the part that actually satisfies y == 3:



$ \left\{ x\to\begin{cases} 2-z & y=3\\ \text{Indeterminate} & \text{True} \end{cases}\right\} $



An alternative would be:



Last@Minimize[{(x + y + z - 5)^2 + (y - 3)^2}, {x}]


$ \{x \to 5 - y - z\}$



Comments

Popular posts from this blog

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 - 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 - 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....