Skip to main content

equation solving - Inequality involving Abs[]


Mathematica fails to do anything with


Reduce[Abs[x-3]<4, Reals]
(* Reduce[Abs[x-3]<4, Reals] *)

This answer contends that explicitly naming the variables to be reduced will solve the problem, and indeed


Reduce[Abs[x-3]<4, x, Reals]
(* -1 < x < 7 *)


But why is this the case? If either the absolute value is removed, or the < is changed to =, it is not necessary to provide the variable name.



Answer



After some back and forth with WRI, here is the answer: the domain restriction in Reduce[] applies to the specified variables and functions involving those variables. Since no variables are specified in my first example, the domain restriction effectively does nothing. That also explains why using {} does not solve the problem.


EDIT: After reading @Michael's comment below, I had more interactions with Wolfram support, and I am still somewhat confused. From WRI:




From Reduce documentation:


"Algebraic variables in expr free of the Subscript[x, i] and of each other are treated as independent parameters."


Since no Subscript[x, i] are specified, Reduce solves for the algebraic-level variables that are free of other algebraic-level variables.


In[1]:= Reduce`FreeVariables[x^2<4, "Algebraic"]

Out[1]= {x}

In[2]:= Reduce`FreeVariables[Abs[x-3]<4 && x\[Element]Reals, "Algebraic"]
Out[2]= {x}

In[3]:= Reduce`FreeVariables[Abs[x-3]<4, "Algebraic"]
Out[3]= {Abs[-3 + x]}

In[4]:= Reduce`FreeVariables[Re[x] > 0, "Algebraic"]
Out[4]= {Re[x]}


I guess the point is that x appears "algebraically" only in the first example; in the other examples it is the Abs or Re expression that is the "algebraic-level" variable.


This is still pretty unclear to me at a conceptual level (although I now know how to get the results I want), but I'm not sure what further questions to ask to clarify the situation. BTW, Reduce``FreeVariables is not documented.


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....