2-dimensional Euclidean space
GPTKB entity
Statements (50)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:Euclidean_space
|
gptkbp:basisFor |
standard basis (i, j)
|
gptkbp:connectedTo |
gptkb:complex_plane
affine plane vector space over R |
gptkbp:coordinates |
gptkb:polar_coordinates
Cartesian coordinates |
gptkbp:describedBy |
axioms of Euclidean geometry
|
gptkbp:dimensions |
2
|
gptkbp:hasAngleMeasure |
degrees
radians |
gptkbp:hasArea |
area = base × height for rectangles
area = πr^2 for circles |
gptkbp:hasDistanceFormula |
sqrt((x2-x1)^2 + (y2-y1)^2)
|
gptkbp:hasInnerProduct |
dot product
|
gptkbp:hasSubgroup |
gptkb:n-dimensional_Euclidean_space
lines points polygons curves |
https://www.w3.org/2000/01/rdf-schema#label |
2-dimensional Euclidean space
|
gptkbp:includesMetric |
Euclidean metric
|
gptkbp:isomorphicTo |
R^2
|
gptkbp:originatedIn |
(0, 0)
|
gptkbp:represents |
ordered pairs (x, y)
|
gptkbp:symmetry |
Euclidean group E(2)
|
gptkbp:usedFor |
gptkb:algebraic_geometry
gptkb:navigation gptkb:topology gptkb:data_visualization complex analysis computer graphics differential geometry physics simulations robotics statistics optimization vector calculus linear algebra analytic geometry map projections trigonometry artificial intelligence (spatial reasoning) machine learning (feature spaces) |
gptkbp:usedIn |
gptkb:geometry
engineering physics |
gptkbp:visualizes |
gptkb:aircraft
|
gptkbp:bfsParent |
gptkb:4-dimensional_Euclidean_space
|
gptkbp:bfsLayer |
7
|