Skip to main content

linear algebra - Generating a vector of dummy variables


So I'm the situation of needing analytical solutions to a family of equations of the form Ax=b, where A is an nxn matrix. I've written a function that does what I want, but I'm currently using a bit of a hack to generate arbitrary (dummy) variable names for the n-vector 'x' :


Map[Clear, Table["x" <> ToString[j], {j, n}]];
x = ToExpression[Table["x" <> ToString[j], {j, n}]];

Can anyone suggest a more elegant way of accomplishing this task?



Answer




You have several possibilities for this. The probably two easiest methods are first to use Unique


ClearAll[x];
x = Table[Unique["x"], {10}]
(* {x7, x8, x9, x10, x11, x12, x13, x14, x15, x16} *)

The good thing is, that when some of your variables xn are already defined, Unique will not return them. It always gives you fresh, unused symbols.


The other thing you should consider is, that x[1] can be used like a symbol too, although it isn't one. Therefore


ClearAll[x];
vars = Table[x[i], {i, 10}]
(* Out[15]= {x[1], x[2], x[3], x[4], x[5], x[6], x[7], x[8], x[9], x[10]} *)


Can be used as valid variables too. In any case you should watch out that your variables are not assigned to values accidently. This is a common source of errors if you use them in combination with Solve or its friends.


Why did I use x= in the first example and vars= in the second one?


Let's take a very simple example


a = b[1];
OwnValues[a]
(*
{HoldPattern[a] :> b[1]}
*)


and now we assume that the b would be an a, than we would get an OwnValue-rule like


HoldPattern[a] :> a[1]

Therefore, the moment you use a an substitution process starts which is only stopped by the $RecursionLimit, because a is evaluated into a[1] which again contains an a in the front. This is repeatedly replaced.


Therefore, if you want to use the second approach, don't call it like x = Table[x[i], {i, 10}].


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.