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Parabolic Cylindrical Coordinates

An orthogonal 3D coordinate system formed by extruding a confocal parabolic coordinate web along a Cartesian axis, with a quadratic planar map and explicit branch domain.

Version
v1 · 2026-09-28 · History
Domain-specific #
11192
Domain group
Formal Sciences
Origin domain
Mathematics
Subdomains
Orthogonal Curvilinear Coordinates, Potential Theory → Mathematics
Aliases
Parabolic cylinder coordinates

Core Idea

Parabolic cylindrical coordinates use two variables whose constant curves are confocal parabolas and a third ordinary axial variable. The resulting constant-coordinate surfaces are orthogonal parabolic cylinders and planes.

Quadratic mapping creates useful symmetry for boundary-value problems but also sign redundancy and singular points. Scale factors, Jacobian, vector basis, and parameter ranges must accompany the coordinate formulas.

Scope of Application

  • Mathematical physics. Separates PDEs with parabolic boundaries.
  • Vector calculus. Expresses operators in an orthogonal chart.
  • Electromagnetism. Models parabolic-cylinder structures.
  • Wave mechanics. Uses separated parabolic-cylinder functions.

Clarity

State Cartesian map, inverse/branch, parameter ranges, axis/orientation, coordinate surfaces, scale factors, Jacobian, basis vectors, singularities, handedness, and PDE boundary alignment. Inclusion test: Require the declared quadratic Cartesian transformation, axial extrusion, parameter domain, and induced orthogonal metric factors. Exclusion test: Exclude parabolic coordinates in 2D, elliptic cylindrical coordinates, generic cylinders with parabolic cross-sections, and a PDE variable substitution lacking the coordinate geometry. Nearest boundary: Parabolic coordinates are the planar web; parabolic cylindrical coordinates add an unchanged axial coordinate. Exit condition: The chart fails at singular/duplicate points or under an unstated branch convention, and another quadratic map can define a rotated/scaled variant needing explicit transformation. Common misclassifications: It is not one parabolic cylinder. It is not merely 2D parabolic coordinates. It is not elliptic cylindrical coordinates. Coordinate domains cannot be omitted. Nearest named distinctions: Parabolic coordinates: Are two-dimensional. Elliptic cylindrical coordinates: Use confocal ellipses/hyperbolas. Paraboloidal coordinates: Have different 3D surfaces. Parabolic cylinder: Is one surface, not the coordinate system.

Manages Complexity

The system trades Cartesian simplicity for geometric alignment, moving difficulty into a nonuniform metric and branch management.

Abstract Reasoning

  1. Choose axis and map convention.
  2. Set a one-to-one parameter domain.
  3. Derive coordinate surfaces and basis.
  4. Compute scale factors and Jacobian.
  5. Transform operators and verify singular boundaries.

Knowledge Transfer

Coordinate solutions transfer only after map scaling, rotation, domain, metric factors, and boundary surfaces are matched.

Relationships to Other Abstractions

Local relationship map for Parabolic Cylindrical CoordinatesParents appear above the current abstraction, mutual partners to the right, and children below. Node labels state whether each abstraction is prime or domain-specific; colors identify relation types.Parabolic CylindricalCoordinatesDOMAINDomain-specific abstraction: Orthogonal coordinates — is a kind ofOrthogonalcoordinatesDOMAIN

Current abstraction Parabolic Cylindrical Coordinates Domain-specific

Parents (1) — more general patterns this builds on

  • Parabolic Cylindrical Coordinates is a kind of Orthogonal coordinates Domain-specific

    Parabolic Cylindrical Coordinates is a strict kind of Orthogonal coordinates: its extruded confocal parabolic coordinate surfaces meet orthogonally.

Hierarchy path (1) — routes to 1 parentless root

Neighborhood in Abstraction Space

Parabolic Cylindrical Coordinates sits in a crowded region of the domain-specific corpus (29th percentile for distinctiveness): several abstractions share nearly its structure, so a description that fits it tends to fit its neighbors too.

Family — Physical & Geometric Dynamical Quantities (29 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-10-08