How to plot a surface from a system of equations? [duplicate]












8












$begingroup$



This question already has an answer here:




  • Plotting implicitly-defined space curves

    4 answers




It seems like a natural thing to do, however I can't seem to find anything on the docs nor here on SE.



What I'd like to plot is the locus of solutions to a system of (polynomial) equations, e.g. $$begin{cases}x=yz\ y^2=xzend{cases}$$.



I tried with with the command



ContourPlot3D[{x == y*z, y^2 == x*z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}]


However I get the two plots of each equation, which is not what I want:
plot



Basically, I'd like to see just the intersection.



What is the easiest way to do that?










share|improve this question











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marked as duplicate by xzczd, Community May 18 at 10:04


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.


















  • $begingroup$
    I made a thousand edits because the editor didn't let me publish the question, it kept complaining around missing code fences except there already were code fences.
    $endgroup$
    – mattecapu
    May 17 at 16:25
















8












$begingroup$



This question already has an answer here:




  • Plotting implicitly-defined space curves

    4 answers




It seems like a natural thing to do, however I can't seem to find anything on the docs nor here on SE.



What I'd like to plot is the locus of solutions to a system of (polynomial) equations, e.g. $$begin{cases}x=yz\ y^2=xzend{cases}$$.



I tried with with the command



ContourPlot3D[{x == y*z, y^2 == x*z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}]


However I get the two plots of each equation, which is not what I want:
plot



Basically, I'd like to see just the intersection.



What is the easiest way to do that?










share|improve this question











$endgroup$



marked as duplicate by xzczd, Community May 18 at 10:04


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.


















  • $begingroup$
    I made a thousand edits because the editor didn't let me publish the question, it kept complaining around missing code fences except there already were code fences.
    $endgroup$
    – mattecapu
    May 17 at 16:25














8












8








8





$begingroup$



This question already has an answer here:




  • Plotting implicitly-defined space curves

    4 answers




It seems like a natural thing to do, however I can't seem to find anything on the docs nor here on SE.



What I'd like to plot is the locus of solutions to a system of (polynomial) equations, e.g. $$begin{cases}x=yz\ y^2=xzend{cases}$$.



I tried with with the command



ContourPlot3D[{x == y*z, y^2 == x*z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}]


However I get the two plots of each equation, which is not what I want:
plot



Basically, I'd like to see just the intersection.



What is the easiest way to do that?










share|improve this question











$endgroup$





This question already has an answer here:




  • Plotting implicitly-defined space curves

    4 answers




It seems like a natural thing to do, however I can't seem to find anything on the docs nor here on SE.



What I'd like to plot is the locus of solutions to a system of (polynomial) equations, e.g. $$begin{cases}x=yz\ y^2=xzend{cases}$$.



I tried with with the command



ContourPlot3D[{x == y*z, y^2 == x*z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}]


However I get the two plots of each equation, which is not what I want:
plot



Basically, I'd like to see just the intersection.



What is the easiest way to do that?





This question already has an answer here:




  • Plotting implicitly-defined space curves

    4 answers








plotting implicit






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited May 17 at 16:25









Henrik Schumacher

64.1k591178




64.1k591178










asked May 17 at 16:21









mattecapumattecapu

1434




1434




marked as duplicate by xzczd, Community May 18 at 10:04


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.









marked as duplicate by xzczd, Community May 18 at 10:04


This question has been asked before and already has an answer. If those answers do not fully address your question, please ask a new question.














  • $begingroup$
    I made a thousand edits because the editor didn't let me publish the question, it kept complaining around missing code fences except there already were code fences.
    $endgroup$
    – mattecapu
    May 17 at 16:25


















  • $begingroup$
    I made a thousand edits because the editor didn't let me publish the question, it kept complaining around missing code fences except there already were code fences.
    $endgroup$
    – mattecapu
    May 17 at 16:25
















$begingroup$
I made a thousand edits because the editor didn't let me publish the question, it kept complaining around missing code fences except there already were code fences.
$endgroup$
– mattecapu
May 17 at 16:25




$begingroup$
I made a thousand edits because the editor didn't let me publish the question, it kept complaining around missing code fences except there already were code fences.
$endgroup$
– mattecapu
May 17 at 16:25










2 Answers
2






active

oldest

votes


















8












$begingroup$

You can "plot" one equation as a contour and draw the mesh lines of the other equation onto it by using the option MeshFunctions.



curve = ContourPlot3D[
y^2 == x z
{x, -10, 10}, {y, -10, 10}, {z, -10, 10},
MeshFunctions -> Function[{x, y, z}, x - y z],
Mesh -> {{0}},
ContourStyle -> None,
BoundaryStyle -> None,
MeshStyle -> Thick,
PlotPoints -> 100
]


enter image description here



Here is also a compined plot that looks a bit more fancy:



surf = ContourPlot3D[{y^2 == x z, x == y z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}, ContourStyle -> Opacity[0.4]];
Show[
surf,
curve /. Line[x__] :> {Lighter@Black, Specularity[White, 30],
Tube[x, 0.2]},
Lighting -> "Neutral"
]


enter image description here






share|improve this answer











$endgroup$













  • $begingroup$
    ugly yet effective... thanks! to the future me: Mesh-> {{0}} selects the level set $=0$ for the specified mesh function, the rest of the options is to remove stuff we don't want to see
    $endgroup$
    – mattecapu
    May 17 at 16:36






  • 1




    $begingroup$
    Exactly. You got it.
    $endgroup$
    – Henrik Schumacher
    May 17 at 16:37



















10












$begingroup$

Define an implicit region with your equations by And-combining them:



ir = ImplicitRegion[x == y*z && y^2 == x*z, {x, y, z}];


Make a 3D plot by discretizing the implicit region:



DiscretizeRegion[ir, 3*{{-1, 1}, {-1, 1}, {-1, 1}}, 
MaxCellMeasure -> 10^-4, Boxed -> True, Axes -> True]


enter image description here






share|improve this answer









$endgroup$









  • 1




    $begingroup$
    Wow, I am surprised that DiscretizeRegion works so well on this! It used to produce quite shabby results for lower-dimensional regions...
    $endgroup$
    – Henrik Schumacher
    May 17 at 20:17






  • 2




    $begingroup$
    @HenrikSchumacher you still need a massive dose of MaxCellMeasure to make it pretty.
    $endgroup$
    – Roman
    May 17 at 20:24


















2 Answers
2






active

oldest

votes








2 Answers
2






active

oldest

votes









active

oldest

votes






active

oldest

votes









8












$begingroup$

You can "plot" one equation as a contour and draw the mesh lines of the other equation onto it by using the option MeshFunctions.



curve = ContourPlot3D[
y^2 == x z
{x, -10, 10}, {y, -10, 10}, {z, -10, 10},
MeshFunctions -> Function[{x, y, z}, x - y z],
Mesh -> {{0}},
ContourStyle -> None,
BoundaryStyle -> None,
MeshStyle -> Thick,
PlotPoints -> 100
]


enter image description here



Here is also a compined plot that looks a bit more fancy:



surf = ContourPlot3D[{y^2 == x z, x == y z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}, ContourStyle -> Opacity[0.4]];
Show[
surf,
curve /. Line[x__] :> {Lighter@Black, Specularity[White, 30],
Tube[x, 0.2]},
Lighting -> "Neutral"
]


enter image description here






share|improve this answer











$endgroup$













  • $begingroup$
    ugly yet effective... thanks! to the future me: Mesh-> {{0}} selects the level set $=0$ for the specified mesh function, the rest of the options is to remove stuff we don't want to see
    $endgroup$
    – mattecapu
    May 17 at 16:36






  • 1




    $begingroup$
    Exactly. You got it.
    $endgroup$
    – Henrik Schumacher
    May 17 at 16:37
















8












$begingroup$

You can "plot" one equation as a contour and draw the mesh lines of the other equation onto it by using the option MeshFunctions.



curve = ContourPlot3D[
y^2 == x z
{x, -10, 10}, {y, -10, 10}, {z, -10, 10},
MeshFunctions -> Function[{x, y, z}, x - y z],
Mesh -> {{0}},
ContourStyle -> None,
BoundaryStyle -> None,
MeshStyle -> Thick,
PlotPoints -> 100
]


enter image description here



Here is also a compined plot that looks a bit more fancy:



surf = ContourPlot3D[{y^2 == x z, x == y z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}, ContourStyle -> Opacity[0.4]];
Show[
surf,
curve /. Line[x__] :> {Lighter@Black, Specularity[White, 30],
Tube[x, 0.2]},
Lighting -> "Neutral"
]


enter image description here






share|improve this answer











$endgroup$













  • $begingroup$
    ugly yet effective... thanks! to the future me: Mesh-> {{0}} selects the level set $=0$ for the specified mesh function, the rest of the options is to remove stuff we don't want to see
    $endgroup$
    – mattecapu
    May 17 at 16:36






  • 1




    $begingroup$
    Exactly. You got it.
    $endgroup$
    – Henrik Schumacher
    May 17 at 16:37














8












8








8





$begingroup$

You can "plot" one equation as a contour and draw the mesh lines of the other equation onto it by using the option MeshFunctions.



curve = ContourPlot3D[
y^2 == x z
{x, -10, 10}, {y, -10, 10}, {z, -10, 10},
MeshFunctions -> Function[{x, y, z}, x - y z],
Mesh -> {{0}},
ContourStyle -> None,
BoundaryStyle -> None,
MeshStyle -> Thick,
PlotPoints -> 100
]


enter image description here



Here is also a compined plot that looks a bit more fancy:



surf = ContourPlot3D[{y^2 == x z, x == y z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}, ContourStyle -> Opacity[0.4]];
Show[
surf,
curve /. Line[x__] :> {Lighter@Black, Specularity[White, 30],
Tube[x, 0.2]},
Lighting -> "Neutral"
]


enter image description here






share|improve this answer











$endgroup$



You can "plot" one equation as a contour and draw the mesh lines of the other equation onto it by using the option MeshFunctions.



curve = ContourPlot3D[
y^2 == x z
{x, -10, 10}, {y, -10, 10}, {z, -10, 10},
MeshFunctions -> Function[{x, y, z}, x - y z],
Mesh -> {{0}},
ContourStyle -> None,
BoundaryStyle -> None,
MeshStyle -> Thick,
PlotPoints -> 100
]


enter image description here



Here is also a compined plot that looks a bit more fancy:



surf = ContourPlot3D[{y^2 == x z, x == y z}, {x, -10, 10}, {y, -10, 10}, {z, -10, 10}, ContourStyle -> Opacity[0.4]];
Show[
surf,
curve /. Line[x__] :> {Lighter@Black, Specularity[White, 30],
Tube[x, 0.2]},
Lighting -> "Neutral"
]


enter image description here







share|improve this answer














share|improve this answer



share|improve this answer








edited May 17 at 16:36

























answered May 17 at 16:30









Henrik SchumacherHenrik Schumacher

64.1k591178




64.1k591178












  • $begingroup$
    ugly yet effective... thanks! to the future me: Mesh-> {{0}} selects the level set $=0$ for the specified mesh function, the rest of the options is to remove stuff we don't want to see
    $endgroup$
    – mattecapu
    May 17 at 16:36






  • 1




    $begingroup$
    Exactly. You got it.
    $endgroup$
    – Henrik Schumacher
    May 17 at 16:37


















  • $begingroup$
    ugly yet effective... thanks! to the future me: Mesh-> {{0}} selects the level set $=0$ for the specified mesh function, the rest of the options is to remove stuff we don't want to see
    $endgroup$
    – mattecapu
    May 17 at 16:36






  • 1




    $begingroup$
    Exactly. You got it.
    $endgroup$
    – Henrik Schumacher
    May 17 at 16:37
















$begingroup$
ugly yet effective... thanks! to the future me: Mesh-> {{0}} selects the level set $=0$ for the specified mesh function, the rest of the options is to remove stuff we don't want to see
$endgroup$
– mattecapu
May 17 at 16:36




$begingroup$
ugly yet effective... thanks! to the future me: Mesh-> {{0}} selects the level set $=0$ for the specified mesh function, the rest of the options is to remove stuff we don't want to see
$endgroup$
– mattecapu
May 17 at 16:36




1




1




$begingroup$
Exactly. You got it.
$endgroup$
– Henrik Schumacher
May 17 at 16:37




$begingroup$
Exactly. You got it.
$endgroup$
– Henrik Schumacher
May 17 at 16:37











10












$begingroup$

Define an implicit region with your equations by And-combining them:



ir = ImplicitRegion[x == y*z && y^2 == x*z, {x, y, z}];


Make a 3D plot by discretizing the implicit region:



DiscretizeRegion[ir, 3*{{-1, 1}, {-1, 1}, {-1, 1}}, 
MaxCellMeasure -> 10^-4, Boxed -> True, Axes -> True]


enter image description here






share|improve this answer









$endgroup$









  • 1




    $begingroup$
    Wow, I am surprised that DiscretizeRegion works so well on this! It used to produce quite shabby results for lower-dimensional regions...
    $endgroup$
    – Henrik Schumacher
    May 17 at 20:17






  • 2




    $begingroup$
    @HenrikSchumacher you still need a massive dose of MaxCellMeasure to make it pretty.
    $endgroup$
    – Roman
    May 17 at 20:24
















10












$begingroup$

Define an implicit region with your equations by And-combining them:



ir = ImplicitRegion[x == y*z && y^2 == x*z, {x, y, z}];


Make a 3D plot by discretizing the implicit region:



DiscretizeRegion[ir, 3*{{-1, 1}, {-1, 1}, {-1, 1}}, 
MaxCellMeasure -> 10^-4, Boxed -> True, Axes -> True]


enter image description here






share|improve this answer









$endgroup$









  • 1




    $begingroup$
    Wow, I am surprised that DiscretizeRegion works so well on this! It used to produce quite shabby results for lower-dimensional regions...
    $endgroup$
    – Henrik Schumacher
    May 17 at 20:17






  • 2




    $begingroup$
    @HenrikSchumacher you still need a massive dose of MaxCellMeasure to make it pretty.
    $endgroup$
    – Roman
    May 17 at 20:24














10












10








10





$begingroup$

Define an implicit region with your equations by And-combining them:



ir = ImplicitRegion[x == y*z && y^2 == x*z, {x, y, z}];


Make a 3D plot by discretizing the implicit region:



DiscretizeRegion[ir, 3*{{-1, 1}, {-1, 1}, {-1, 1}}, 
MaxCellMeasure -> 10^-4, Boxed -> True, Axes -> True]


enter image description here






share|improve this answer









$endgroup$



Define an implicit region with your equations by And-combining them:



ir = ImplicitRegion[x == y*z && y^2 == x*z, {x, y, z}];


Make a 3D plot by discretizing the implicit region:



DiscretizeRegion[ir, 3*{{-1, 1}, {-1, 1}, {-1, 1}}, 
MaxCellMeasure -> 10^-4, Boxed -> True, Axes -> True]


enter image description here







share|improve this answer












share|improve this answer



share|improve this answer










answered May 17 at 17:39









RomanRoman

11.3k11944




11.3k11944








  • 1




    $begingroup$
    Wow, I am surprised that DiscretizeRegion works so well on this! It used to produce quite shabby results for lower-dimensional regions...
    $endgroup$
    – Henrik Schumacher
    May 17 at 20:17






  • 2




    $begingroup$
    @HenrikSchumacher you still need a massive dose of MaxCellMeasure to make it pretty.
    $endgroup$
    – Roman
    May 17 at 20:24














  • 1




    $begingroup$
    Wow, I am surprised that DiscretizeRegion works so well on this! It used to produce quite shabby results for lower-dimensional regions...
    $endgroup$
    – Henrik Schumacher
    May 17 at 20:17






  • 2




    $begingroup$
    @HenrikSchumacher you still need a massive dose of MaxCellMeasure to make it pretty.
    $endgroup$
    – Roman
    May 17 at 20:24








1




1




$begingroup$
Wow, I am surprised that DiscretizeRegion works so well on this! It used to produce quite shabby results for lower-dimensional regions...
$endgroup$
– Henrik Schumacher
May 17 at 20:17




$begingroup$
Wow, I am surprised that DiscretizeRegion works so well on this! It used to produce quite shabby results for lower-dimensional regions...
$endgroup$
– Henrik Schumacher
May 17 at 20:17




2




2




$begingroup$
@HenrikSchumacher you still need a massive dose of MaxCellMeasure to make it pretty.
$endgroup$
– Roman
May 17 at 20:24




$begingroup$
@HenrikSchumacher you still need a massive dose of MaxCellMeasure to make it pretty.
$endgroup$
– Roman
May 17 at 20:24



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