Skip to main content

polynomials - Decomposition of a semialgebraic set into connected components


Is there any built-in function for doing decomposition of a semialgebraic set into connected components? The only way I now can think of is to use


CylindricalAlgebraicDecomposition


and to build connected componnets from its output: all terms connected with disjunction on first level are treated as vertexes of graph, two vartexes are connected if Length[FindInstance[v1 && v2, {vars}]] != 0. On produced graph usual depth-first search based algorithm is used. But intuition says that such things are usually already implemented, hence the question.



Answer



EDIT: CylindricalDecomposition has been improved since I wrote this answer, probably in v11.2! Now it takes an optional topological operation argument. As a result, one can achieve the results described as connected below simply by adding such an argument to CylindricalDecomposition:


  decomp = List @@ BooleanMinimize@CylindricalDecomposition[eqns, {x, y},
"Components"];



The code below is a bit of a cheat: it modifies sets acquired through cylindrical decomposition by converting < to <= and > to >=. This prevents some infinitesimally small gaps from being recognised as such, but wins the possibility of finding overlaps between cylindrical cells produced by CAD. It may still serve as a starting point for more "real-world" solutions.


This code constructs a pairwise graph from those DNF components of the decomposition for which their closed region overlaps with another. From this connected graph components are computed, and this gives more or less directly connected components you seek:



Module[{eqns, decomp, connected, regdim},
eqns = x^2 + y^2 <= 1 && x^2 + (y - 1/2)^2 >= 1/2 &&
! (0 <= y - x/2 <= 1/4) && ! (0 <= y/2 + x <= 1/4) &&
x^2 + (y + 3/4)^2 >= 1/32;

regdim =
RegionDimension@ImplicitRegion[Reduce[#, {x, y}, Reals], {x, y}] &;

decomp =
List @@ BooleanMinimize@CylindricalDecomposition[eqns, {x, y}];


connected =
Or @@@ ConnectedComponents@
Graph[decomp, UndirectedEdge @@@
Select[Subsets[decomp, {2}],
regdim[And @@ # //. {Less -> LessEqual, Greater -> GreaterEqual}] >= 0 &]];

(Quiet@RegionPlot[#, {x, -1, 1}, {y, -1, 1}, PlotPoints -> 100] & /@
{decomp, connected})~Join~
{FullSimplify[connected, (x | y) \[Element] Reals]}]


The result shows CAD result, "unified" connected components and each component:


enter image description here



{(Sqrt[1 - x^2] + y >= 0 && ((x > 2 y && 2/Sqrt[5] + x > 0 && Sqrt[6] + 5 x <= 1) || (Sqrt[6] + 5 x > 1 && Sqrt2 + 8 x <= 0 && Sqrt[2 - 4 x^2] + 2 y <= 1) || (x < 1/Sqrt[5] && 2 x + y < 0 && 8 x >= Sqrt2) || (Sqrt2 + 8 x > 0 && 8 x < Sqrt2 && 6 + Sqrt[2 - 64 x^2] + 8 y <= 0))) || (Sqrt[2 - 64 x^2] <= 6 + 8 y && ((8 x < Sqrt2 && 2 x + y < 0 && 10 x >= 1) || (Sqrt2 + 8 x > 0 && 10 x < 1 && Sqrt[2 - 4 x^2] + 2 y <= 1))), (1 + x == 0 && y == 0) || (Sqrt[7] + 4 x == 0 && 4 y == 3) || (Sqrt[1 - x^2] >= y && ((1 + 2 Sqrt[19] + 10 x == 0 && Sqrt[1 - x^2] + y > 0) || (Sqrt[1 - x^2] + y >= 0 && 1 + x > 0 && 1 + 2 Sqrt[19] + 10 x < 0) || (1/Sqrt2 + x > 0 && Sqrt[7] + 4 x < 0 && 1 + Sqrt[2 - 4 x^2] <= 2 y) || (1 + 2 Sqrt[19] + 10 x > 0 && 1 + 2 x < 4 y && 1/Sqrt2 + x <= 0))) || (1/Sqrt2 + x > 0 && 1 + 2 x < 4 y && Sqrt[2 - 4 x^2] + 2 y <= 1), (x == 1 && y == 0) || (Sqrt[1 - x^2] + y >= 0 && ((Sqrt[1 - x^2] >= y && x > 2/Sqrt[5] && x < 1) || (10 x > 2 + Sqrt[19] && 5 x < 1 + Sqrt[6] && Sqrt[2 - 4 x^2] + 2 y <= 1) || (x > 2 y && 5 x >= 1 + Sqrt[6] && x <= 2/Sqrt[5]))) || (10 x <= 2 + Sqrt[19] && 4 x + 2 y > 1 && Sqrt[2 - 4 x^2] + 2 y <= 1), (4 x == Sqrt[7] && 4 y == 3) || (4 x > Sqrt[7] && 10 x < 7 && 1 + Sqrt[2 - 4 x^2] <= 2 y && y <= Sqrt[1 - x^2]) || (1 + 2 x < 4 y && Sqrt[1 - x^2] >= y && 10 x >= 7)}



EDIT:


Here's an improvement to the case of infitesimal gaps. Instead of just rewriting CAD cells to closures, we search for intersection of one cell with RegionBoundary of another. RegionPlot visualisation is not particularly pretty in this case (there's a single point connecting upper and lower left side now), but that's not a problem caused by the connected components code. This version has a drawback of being considerably slower than the original answer.


Module[{eqns, decomp, connected, regconn},
eqns = x^2 + y^2 <= 1 && x^2 + (y - 1/2)^2 >= 1/2 &&

! (0 == y - x/2 && x != -3/4) && ! (0 == y/2 + x) &&
x^2 + (y + 3/4)^2 >= 1/32;

regconn =
Resolve@Exists[{x, y}, (x | y) \[Element] Reals,
RegionMember[
RegionIntersection[ImplicitRegion[#1, {x, y}],
RegionBoundary@ImplicitRegion[#2, {x, y}]], {x, y}]] &;

decomp =

List @@ BooleanMinimize@CylindricalDecomposition[eqns, {x, y}];

connected =
Or @@@ ConnectedComponents@
Graph[decomp, UndirectedEdge @@@
Select[Subsets[decomp, {2}],
regconn @@ # || regconn @@ Reverse@# &]];

(Quiet@RegionPlot[#, {x, -1, 1}, {y, -1, 1},
PlotPoints -> 100] & /@ {decomp, connected})~Join~

{FullSimplify[connected, (x | y) \[Element] Reals]}]

enter image description here



...



Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

equation solving - Invert and fit implicitly defined curve

I need to fit an implicitly defined curve. I thought I could get some data out of Solve , and then using FindFit . Therefore, I would like to find the relation the parametric curve defined by $F(x,y)=0$: Solve[-(1/2) + 1/2 (0.41202 BesselK[0, 0.1 Sqrt[x^2 + y^2]] + (0.101483 x BesselK[1, 0.1 Sqrt[x^2 + y^2]])/Sqrt[x^2 + y^2]) == 0, y] But I can't get an output: Solve was unable to solve the system with inexact coefficients or the system obtained by direct rationalization of inexact numbers present in the system. Since many of the methods used by Solve require exact input, providing Solve with an exact version of the system may help. >> Edit: In particular, I would like to fit the data coming from the curve with the expression of another curve, and not with a function $f(x)$. In particular, since this clearly looks like a cardioid , I would like it to fit to something like it. What other strategies could I try?

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...