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Ellipsoidal coordinates

Ellipsoidal coordinates, also known as confocal ellipsoidal coordinates, constitute a three-dimensional orthogonal curvilinear defined by the intersection of three families of confocal quadrics: ellipsoids, hyperboloids of one sheet, and hyperboloids of two sheets, all sharing the same foci. In this system, a point in space is specified by coordinates (\lambda, \mu, \nu) satisfying \lambda < c^2 < \mu < b^2 < \nu < a^2 (assuming a > b > c > 0), where the Cartesian coordinates (x, y, z) relate via the equations \frac{x^2}{a^2 - \lambda} + \frac{y^2}{b^2 - \lambda} + \frac{z^2}{c^2 - \lambda} = 1 and analogous forms for \mu and \nu. Introduced by in 1839 as part of his solution to the problem of geodesics on a triaxial ellipsoid, these coordinates extend the two-dimensional elliptical system to three dimensions and enable the in key partial differential equations. The system's arises from the confocal nature of the quadrics, ensuring that the coordinate surfaces intersect at right angles, with scale factors given by h_\lambda = \sqrt{\frac{(\mu - \lambda)(\nu - \lambda)}{4(a^2 - \lambda)(b^2 - \lambda)(c^2 - \lambda)}}, and similar expressions for h_\mu and h_\nu. This property makes ellipsoidal coordinates particularly valuable in for solving boundary value problems in domains bounded by ellipsoids, as the Laplacian and Helmholtz operators separate completely in these variables. Historically termed "" by some authors like and , the system has been formalized in texts such as and Feshbach's Methods of (1953), where it is simply called "ellipsoidal coordinates." Notable applications include the analytical solution of the for two-center quantum systems, such as the hydrogen molecular ion, where the non-spherical symmetry aligns with the coordinate surfaces. In and , ellipsoidal coordinates facilitate computations of geodesics and gravitational potentials on triaxial ellipsoids modeling planetary shapes. Additionally, they underpin the of ellipsoidal harmonics, used in solving elliptic boundary value problems and in fields like for modeling bioelectric fields within ellipsoidal approximations of the human head. Despite their utility, the complexity of the metric and associated , such as Lamé functions, limits their routine use compared to spherical or cylindrical systems, though numerical advancements continue to expand their practical scope.

Overview

Definition and Properties

Ellipsoidal coordinates, also known as confocal ellipsoidal coordinates, form a three-dimensional orthogonal curvilinear in , typically parameterized by variables (λ, μ, ν). This system generalizes the two-dimensional elliptic coordinates and features coordinate surfaces belonging to of confocal quadrics: ellipsoids (for constant λ), hyperboloids of one sheet (for constant μ), and hyperboloids of two sheets (for constant ν). A defining property of ellipsoidal coordinates is their , whereby the gradients of the coordinate functions are mutually at every point, ensuring that the coordinate surfaces intersect at right angles throughout space. The confocal property means that all quadrics share a common set of six foci, usually positioned along the principal axes at (±h₁, 0, 0), (0, ±h₂, 0), and (0, 0, ±h₃), where the h_i represent semi-focal distances derived from the differences in the squares of the semi-axes. Geometrically, these coordinates can be intuited as arising from the intersections of surfaces defined by ratios of distances from a point to focal conics—such as ellipses and hyperbolas—in the coordinate planes, providing a natural partitioning of space aligned with ellipsoidal symmetry. This orthogonal and confocal structure renders ellipsoidal coordinates especially suitable for analytical solutions to problems exhibiting ellipsoidal boundaries or symmetry, including boundary value problems in , gravitation, and where partial differential equations like Laplace's or the separate in these variables. In contrast to non-confocal systems like , which are tailored to a fixed reference for Earth-surface modeling in and are not based on intersecting families of quadrics, ellipsoidal coordinates offer a versatile, space-filling framework independent of any specific physical reference.

Historical Development

Ellipsoidal coordinates were introduced by in 1839, in his foundational work on geodesics on a triaxial , where he employed these coordinates to achieve and reduce the problem to elliptic integrals. Independently in the same year, Gabriel Lamé utilized ellipsoidal coordinates to separate variables in the Laplace equation, thereby establishing the basis for Lamé functions as solutions to partial differential equations in ellipsoidal geometries. This three-dimensional system evolved from two-dimensional elliptic coordinates, which had earlier been applied to solve boundary value problems involving confocal ellipses and hyperbolas in the plane. The influence of these coordinates extended to the development of Lamé functions, which facilitated the in Helmholtz's equation and other PDEs within ellipsoidal domains. In the early , and referenced ellipsoidal coordinates in their systematic approach to boundary value problems, detailing their properties in Methods of (1924). Their adoption in became prominent with and Herman Feshbach's Methods of Theoretical Physics (1953), where the coordinates were used to address separable potentials in atomic and molecular problems. Notable later texts include Lev D. Landau and Evgeny M. Lifshitz's Electrodynamics of Continuous Media (1984), which employed an alternative notation for ellipsoidal coordinates in discussions of responses and problems in anisotropic . These developments underscore the coordinates' enduring role in , particularly for applications in .

Geometry

Confocal Quadrics

Confocal quadrics form the geometric foundation of the ellipsoidal , consisting of a one-parameter family of surfaces that share the same pair of focal conics: an in the xy-plane and a in the xz-plane. These surfaces encompass ellipsoids, hyperboloids of one sheet, and hyperboloids of two sheets, depending on the value of the parameter labeling each surface. The mathematical representation of these confocal quadrics is given by the equation \frac{x^2}{a^2 + \sigma} + \frac{y^2}{b^2 + \sigma} + \frac{z^2}{c^2 + \sigma} = 1, where a > b > c > 0 are fixed parameters representing the semi-axes lengths of a reference , and \sigma varies over appropriate intervals to generate the family. The focal conics arise as degenerate cases of this equation when \sigma takes specific values related to -a^2, -b^2, and -c^2, with their locations and shapes derived from the inter-focal distances \sqrt{a^2 - b^2}, \sqrt{a^2 - c^2}, and \sqrt{b^2 - c^2}. In the ellipsoidal , each coordinate value specifies a particular surface from one of three orthogonal families generated by this , enabling the parametrization of through intersections of these surfaces.

Coordinate Surfaces

In ellipsoidal coordinates (\lambda, \mu, \nu), the coordinate surfaces consist of three families of confocal quadrics that intersect orthogonally to define the . These surfaces share the same foci, a property that underpins their geometric utility in . With -c^2 < \lambda < \infty, -b^2 < \mu < -c^2, and -a^2 < \nu < -b^2, the surfaces are as follows. Surfaces of constant \lambda are ellipsoids described by the equation \frac{x^2}{a^2 + \lambda} + \frac{y^2}{b^2 + \lambda} + \frac{z^2}{c^2 + \lambda} = 1, where a > b > c > 0 are fixed semi-axes parameters. These ellipsoids are nested, with increasing \lambda producing successively larger surfaces that enclose one another, filling the exterior region beyond the focal conic. Surfaces of constant \mu form hyperboloids of one sheet given by \frac{x^2}{a^2 + \mu} + \frac{y^2}{b^2 + \mu} - \frac{z^2}{c^2 + \mu} = 1. These hyperboloids connect opposite branches along the principal axes and intersect the ellipsoidal surfaces transversely. Surfaces of constant \nu are hyperboloids of two sheets expressed as \frac{x^2}{a^2 + \nu} - \frac{y^2}{b^2 + \nu} - \frac{z^2}{c^2 + \nu} = 1. These disconnected sheets align primarily along the longest axis and complement the one-sheet hyperboloids in partitioning space. The orthogonal intersections among these families—ellipsoids with each type of hyperboloid—generate a curvilinear grid that conforms to the ellipsoidal symmetry, enabling efficient representation of fields varying along these natural geometric boundaries.

Formulation

Transformation Equations

Ellipsoidal coordinates (\lambda, \mu, \nu) are defined with respect to a reference ellipsoid characterized by semi-axes lengths a > b > c > 0 along the x, y, and z directions, respectively. These parameters represent the confocal family of ellipsoids, hyperboloids of one sheet, and hyperboloids of two sheets, respectively. The transformation from ellipsoidal coordinates to Cartesian coordinates is given by the following equations: \begin{align} x^2 &= \frac{(a^2 + \lambda)(a^2 + \mu)(a^2 + \nu)}{(a^2 - b^2)(a^2 - c^2)}, \\ y^2 &= \frac{(b^2 + \lambda)(b^2 + \mu)(b^2 + \nu)}{(b^2 - a^2)(b^2 - c^2)}, \\ z^2 &= \frac{(c^2 + \lambda)(c^2 + \mu)(c^2 + \nu)}{(c^2 - b^2)(c^2 - a^2)}. \end{align} Since the equations express squared Cartesian coordinates, the signs of x, y, and z are chosen independently as positive or negative to specify the position within one of the eight octants of . This allows the to cover the entire without singularities except along the degenerate surfaces where the denominators vanish.

Range of Coordinates

In ellipsoidal coordinates, the parameters satisfy \lambda > \mu > \nu, with \lambda in the ellipsoids family, \mu in the hyperboloids of family, and \nu in the hyperboloids of two sheets family. The specific ranges are -c^2 < \lambda < \infty, -b^2 < \mu < -c^2, and -a^2 < \nu < -b^2, where a > b > c > 0 are the semi-axes of the reference confocal . These disjoint intervals ensure that each coordinate corresponds uniquely to one family of confocal quadrics without overlap. The full three-dimensional Euclidean space is covered by these ranges, with the sign choices in the Cartesian transformation allowing coverage of all octants. Uniqueness holds such that, except at the focal conics themselves, every point in space (x, y, z) \neq (0, 0, 0) admits a unique (\lambda, \mu, \nu) in the specified ranges, modulo the octant symmetry; this one-to-one correspondence (up to signs) facilitates the orthogonal decomposition of space and separation of variables in the Hamilton-Jacobi equation. Boundary conditions occur at the limits of these ranges: for instance, \lambda = -c^2 defines the degenerate case where the \lambda-coordinate surface (ellipsoid) collapses to the focal ellipse in the xy-plane; \mu = -b^2 and \nu = -a^2 correspond to degenerate hyperboloids collapsing to the focal conics in the xz- and yz-planes, respectively. These singular curves serve as the common foci for all confocal quadrics in the system.

Orthogonal Properties

Scale Factors

In ellipsoidal coordinates (\lambda, \mu, \nu), the scale factors h_\lambda, h_\mu, and h_\nu are the diagonal elements of the metric tensor, determining the infinitesimal arc length along each coordinate direction. These factors are crucial for expressing the geometry of the coordinate system and are derived from the position vector \mathbf{r} = (x, y, z) expressed in terms of the coordinates. The line element takes the orthogonal form ds^2 = h_\lambda^2 \, d\lambda^2 + h_\mu^2 \, d\mu^2 + h_\nu^2 \, d\nu^2, where the scale factors are given by h_\lambda = \frac{1}{2} \sqrt{ \frac{(\lambda - \mu)(\lambda - \nu)}{S(\lambda)} }, with the auxiliary function S(\sigma) = (\sigma + a^2)(\sigma + b^2)(\sigma + c^2) and a > b > c > 0 the semi-axes lengths of the confocal reference . The expressions for the other scale factors follow by appropriate permutation to ensure positivity given the ordering \lambda \geq \mu \geq \nu: h_\mu = \frac{1}{2} \sqrt{ \frac{(\mu - \nu)(\lambda - \mu)}{S(\mu)} }, \quad h_\nu = \frac{1}{2} \sqrt{ \frac{(\lambda - \nu)(\mu - \nu)}{S(\nu)} }. These formulas arise from the standard between Cartesian and ellipsoidal coordinates, where x, y, z are expressed using products involving ( \sigma + \alpha^2 ) for \sigma = \lambda, \mu, \nu and \alpha = a, b, c. To derive the scale factors, one computes the partial derivatives \partial \mathbf{r}/\partial \lambda, \partial \mathbf{r}/\partial \mu, and \partial \mathbf{r}/\partial \nu from the coordinate equations. Each scale factor is then h_i = \left| \partial \mathbf{r} / \partial q_i \right|, where q_i denotes the respective coordinate. Squaring these magnitudes yields h_i^2 = \left( \partial x / \partial q_i \right)^2 + \left( \partial y / \partial q_i \right)^2 + \left( \partial z / \partial q_i \right)^2. Substituting the explicit forms of x, y, z (which involve square roots of products like (\lambda + a^2)(\mu + a^2)(\nu + a^2) normalized by differences of the semi-axes squared) and simplifying using the definitions of the confocal quadrics results in the expressions above after algebraic manipulation and taking square roots. The factor of $1/2 emerges from the differentiation of the nested square roots in the transformation. of the system ensures the off-diagonal terms vanish. In asymptotic regimes near the foci of the confocal quadrics, the scale factors simplify significantly. For instance, as coordinates approach the degenerate cases corresponding to the focal or (e.g., when \lambda, \mu, \nu tend toward -a^2, -b^2, -c^2), the expressions reduce to those of limiting coordinate systems such as elliptic cylindrical or spherical coordinates, where one or more scale factors become constant or follow simpler hyperbolic/trigonometric forms. This behavior facilitates approximations in regions close to the origin or along the principal axes.

Line Element

In ellipsoidal coordinates (\lambda, \mu, \nu), the ds expresses the squared between neighboring points and takes the form ds^2 = h_\lambda^2 \, d\lambda^2 + h_\mu^2 \, d\mu^2 + h_\nu^2 \, d\nu^2, where h_\lambda, h_\mu, and h_\nu are the scale factors associated with each coordinate direction. The corresponding dV is the product of the scale factors times the coordinate differentials: dV = h_\lambda h_\mu h_\nu \, d\lambda \, d\mu \, d\nu. Substituting the explicit expressions for the scale factors yields dV = \frac{(\lambda - \mu)(\lambda - \nu)(\mu - \nu)}{8 \sqrt{S(\lambda) S(\mu) S(\nu)}} \, d\lambda \, d\mu \, d\nu, where S(\xi) = (\xi + a^2)(\xi + b^2)(\xi + c^2) for semi-axes lengths a > b > c > 0, and the ordering \lambda > \mu > \nu ensures dV > 0. The infinitesimal surface elements on the coordinate surfaces are products of the two relevant scale factors and differentials. On the ellipsoid surface of constant \lambda, dS_\lambda = h_\mu h_\nu \, d\mu \, d\nu. On the hyperboloid surface of constant \mu, dS_\mu = h_\lambda h_\nu \, d\lambda \, d\nu, and on the hyperboloid surface of constant \nu, dS_\nu = h_\lambda h_\mu \, d\lambda \, d\mu. These expressions arise directly from the orthogonality of the coordinate system. The Jacobian determinant of the coordinate transformation from (\lambda, \mu, \nu) to Cartesian (x, y, z) coordinates is |h_\lambda h_\mu h_\nu|, providing the scaling factor for volume integrals in the ellipsoidal system.

Differential Operators

Gradient and Divergence

In ellipsoidal coordinates (\lambda, \mu, \nu), the gradient of a scalar f is expressed using the scale factors h_\lambda, h_\mu, and h_\nu as \nabla f = \frac{1}{h_\lambda} \frac{\partial f}{\partial \lambda} \hat{e}_\lambda + \frac{1}{h_\mu} \frac{\partial f}{\partial \mu} \hat{e}_\mu + \frac{1}{h_\nu} \frac{\partial f}{\partial \nu} \hat{e}_\nu, where \hat{e}_\lambda, \hat{e}_\mu, and \hat{e}_\nu are the unit vectors along the respective coordinate directions. The divergence of a vector field \mathbf{A} = A_\lambda \hat{e}_\lambda + A_\mu \hat{e}_\mu + A_\nu \hat{e}_\nu takes the form \nabla \cdot \mathbf{A} = \frac{1}{h_\lambda h_\mu h_\nu} \left[ \frac{\partial (h_\mu h_\nu A_\lambda)}{\partial \lambda} + \frac{\partial (h_\lambda h_\nu A_\mu)}{\partial \mu} + \frac{\partial (h_\lambda h_\mu A_\nu)}{\partial \nu} \right]. This expression accounts for the variation in the scale factors across the coordinate surfaces. The curl of \mathbf{A} is more involved due to the orthogonal but curvilinear nature of the system and is given by \nabla \times \mathbf{A} = \frac{1}{h_\lambda h_\mu h_\nu} \begin{vmatrix} h_\lambda \hat{e}_\lambda & h_\mu \hat{e}_\mu & h_\nu \hat{e}_\nu \\ \frac{\partial}{\partial \lambda} & \frac{\partial}{\partial \mu} & \frac{\partial}{\partial \nu} \\ h_\lambda A_\lambda & h_\mu A_\mu & h_\nu A_\nu \end{vmatrix}, which expands to components involving cross-derivatives scaled by products of the h_i. These operators facilitate the analysis of and scalar fields exhibiting ellipsoidal , such as gravitational or electrostatic potentials in triaxial configurations, by aligning with the natural of confocal quadrics.

Laplacian

In orthogonal such as the ellipsoidal system denoted by (λ, μ, ν), the Laplacian operator ∇² acting on a scalar φ is given by the general expression \nabla^2 \phi = \frac{1}{h_\lambda h_\mu h_\nu} \left[ \frac{\partial}{\partial \lambda} \left( \frac{h_\mu h_\nu}{h_\lambda} \frac{\partial \phi}{\partial \lambda} \right) + \frac{\partial}{\partial \mu} \left( \frac{h_\lambda h_\nu}{h_\mu} \frac{\partial \phi}{\partial \mu} \right) + \frac{\partial}{\partial \nu} \left( \frac{h_\lambda h_\mu}{h_\nu} \frac{\partial \phi}{\partial \nu} \right) \right], where h_λ, h_μ, and h_ν are the scale factors associated with each coordinate direction. The scale factors for ellipsoidal coordinates are h_\lambda = \frac{1}{2} \sqrt{\frac{(\mu - \lambda)(\nu - \lambda)}{S(\lambda)}}, \quad h_\mu = \frac{1}{2} \sqrt{\frac{(\lambda - \mu)(\nu - \mu)}{S(\mu)}}, \quad h_\nu = \frac{1}{2} \sqrt{\frac{(\lambda - \nu)(\mu - \nu)}{S(\nu)}}, with S(\sigma) = (\sigma - a^2)(\sigma - b^2)(\sigma - c^2) defined using the squared interfocal distances a^2 > b^2 > c^2 > 0. Substituting these scale factors into the general Laplacian yields an expanded form involving \nabla^2 \phi = \frac{4 \sqrt{ -S(\lambda) S(\mu) S(\nu) } }{ (\lambda - \mu)(\mu - \nu)(\nu - \lambda) } \left[ \frac{\partial}{\partial \lambda} \left( \sqrt{ \frac{ (\lambda - \mu)(\lambda - \nu) }{ S(\lambda) } } \frac{\partial \phi}{\partial \lambda} \right) + \frac{\partial}{\partial \mu} \left( \sqrt{ \frac{ (\mu - \lambda)(\mu - \nu) }{ S(\mu) } } \frac{\partial \phi}{\partial \mu} \right) + \frac{\partial}{\partial \nu} \left( \sqrt{ \frac{ (\nu - \lambda)(\nu - \mu) }{ S(\nu) } } \frac{\partial \phi}{\partial \nu} \right) \right]. This expression accounts for the coordinate ordering λ > μ > ν and the signs within the square roots, ensuring positive scale factors. The form of the Laplacian facilitates the additive for the ∇²φ + k²φ = 0 in ellipsoidal coordinates, resulting in ordinary differential equations solvable by Lamé functions. In the limiting case where the interfocal distances vanish (a → b → c), ellipsoidal coordinates degenerate to spherical coordinates, and the Laplacian reduces to the familiar spherical form involving radial and angular derivatives.

Alternative Representations

Angular Parametrization

In the angular parametrization of ellipsoidal coordinates, a non-orthogonal system is employed to describe points within or on the surface of an , utilizing parameters (s, \theta, \phi) where s \in [0,1] serves as a radial-like parameter scaling from the to the ellipsoidal boundary, while \theta \in [0, \pi] and \phi \in [0, 2\pi) act as polar and azimuthal angular variables, respectively, analogous to those in spherical coordinates. The Cartesian coordinates are related by the transformation equations \begin{align*} x &= a s \sin\theta \cos\phi, \ y &= b s \sin\theta \sin\phi, \ z &= c s \cos\theta, \end{align*} where a, b, and c denote the lengths of the semi-axes along the x-, y-, and z-directions, respectively. This mapping stretches the unit ball in (s, \theta, \phi)-space affinely to fill the interior of the ellipsoid \frac{x^2}{a^2} + \frac{y^2}{b^2} + \frac{z^2}{c^2} \leq 1. Unlike the standard orthogonal ellipsoidal coordinates, which rely on confocal quadric surfaces, this parametrization centers the system at the origin and directly modifies spherical coordinates via axis-aligned scaling, resulting in non-orthogonal coordinate surfaces due to the differing semi-axes. The line element ds^2 reflects this non-orthogonality through off-diagonal metric components: ds^2 = (a^2 \sin^2\theta \cos^2\phi + b^2 \sin^2\theta \sin^2\phi + c^2 \cos^2\theta) \, ds^2 + s^2 (a^2 \cos^2\theta \cos^2\phi + b^2 \cos^2\theta \sin^2\phi + c^2 \sin^2\theta) \, d\theta^2 + s^2 \sin^2\theta (a^2 \sin^2\phi + b^2 \cos^2\phi) \, d\phi^2 + 2 s \sin\theta \cos\theta (a^2 \cos^2\phi + b^2 \sin^2\phi - c^2) \, ds \, d\theta + 2 s \sin^2\theta \sin\phi \cos\phi (b^2 - a^2) \, ds \, d\phi + 2 s^2 \sin\theta \cos\theta \sin\phi \cos\phi (b^2 - a^2) \, d\theta \, d\phi. The cross terms vanish only in the degenerate spherical case where a = b = c. The volume element in these coordinates is dV = a b c \, s^2 \sin\theta \, ds \, d\theta \, d\phi, which integrates to the ellipsoid volume \frac{4}{3} \pi a b c over the full domain. This parametrization offers advantages in applications involving bounded ellipsoidal domains, such as cavities in acoustics or electromagnetics, where the finite radial range s \in [0,1] simplifies boundary specifications and numerical discretizations compared to unbounded or confocal systems, enabling efficient finite-domain simulations.

Notation Variants

Ellipsoidal coordinates are most commonly denoted by the triplet (\lambda, \mu, \nu), where the parameters satisfy the ordering -a^2 < \nu < -b^2 < \mu < -c^2 < \lambda < \infty (assuming a > b > c > 0) in some conventions, differing from the primary article range c^2 < \lambda < b^2 < \mu < a^2 < \nu < \infty. This convention aligns the coordinate surfaces with confocal (\lambda = constant), one-sheeted (\mu = constant), and two-sheeted (\nu = constant). An alternative notation appears in the work of Landau and Lifshitz, who employ (\xi, \eta, \zeta) with ranges -a^2 < \zeta < -b^2 < \eta < -c^2 < \xi < \infty, having units of distance squared; these are related to certain standard parameters by shifts such as \xi = \lambda + c^2, \eta = \mu + b^2, \zeta = \nu + a^2 to facilitate analysis. In Arfken's treatment, a similar variant uses (\xi_1, \xi_2, \xi_3) with ranges a^2 > \xi_3 > b^2 > \xi_2 > c^2 > \xi_1, reflecting a reversed ordering for the confocal parameters. Further variants include (u, \beta, \lambda), where u \in [0, +\infty) represents the ellipsoidal parameter, \beta \in [-\pi/2, +\pi/2] the ellipsoidal , and \lambda \in (-\pi, +\pi] the ellipsoidal , allowing a natural transition to spheroidal systems. Another form is (\sigma_1, \sigma_2, \sigma_3) emphasizing positive parameters. Conversions between notations, such as shifts from the standard to the Landau variant, preserve the underlying confocal geometry while adapting to analytical needs.

Applications

Separation of Variables

Ellipsoidal coordinates facilitate the for partial differential equations such as \nabla^2 \phi = 0, which is particularly useful for problems involving ellipsoidal symmetry. In these coordinates (\lambda, \mu, \nu), satisfying c^2 < \lambda < b^2 < \mu < a^2 < \nu < \infty (assuming $0 < c < b < a), the Laplacian operator separates into independent ordinary differential equations (ODEs), one for each coordinate. The separated ODEs are Lamé equations, elliptic analogs of the Legendre differential equation encountered in spherical coordinates. The solutions to these ODEs are Lamé functions, denoted typically as Ec_n^m(\xi, k) or Es_n^m(\xi, k) for even and odd types, serving as the basis functions for expansions in ellipsoidal harmonics. The separation constants introduce an eigenvalue problem, where the constants ensure compatibility across the three equations, leading to a of eigenvalues for the Lamé operator. This eigenvalue structure arises from the need for single-valued, bounded solutions over the respective domains of \lambda, \mu, \nu, with the \sigma playing a role similar to that in . The Lamé equation thus governs the spectral decomposition, with solutions classified by n and order m, where for each n, there are $2n+1 independent Lamé functions. Boundary conditions in ellipsoidal coordinates align naturally with the geometry of constant-coordinate surfaces, which are confocal ellipsoids (\lambda = constant), hyperboloids (\mu = constant), and another family of hyperboloids (\nu = constant). For instance, Dirichlet conditions specifying \phi = 0 on an ellipsoidal boundary \lambda = \lambda_0 can be imposed directly on the corresponding , simplifying the solution for interior or exterior problems within ellipsoidal domains. This geometric compatibility makes ellipsoidal coordinates ideal for such boundaries, unlike Cartesian or spherical systems. Beyond boundary value problems, ellipsoidal coordinates find mathematical applications in conformal mappings and integral transforms. The coordinate system's relation to confocal quadrics enables representations of analytic functions via ellipsoidal harmonics, aiding in the study of complex potentials and mappings in three dimensions. Additionally, Lamé functions underpin integral transforms analogous to Fourier-Legendre expansions, used for inverting certain equations in and solving equations over ellipsoidal regions.

Physical Problems

Ellipsoidal coordinates find significant application in , particularly for solving the Laplace equation around charged ellipsoidal conductors or dielectrics. The potential outside a uniformly charged or conducting can be expressed using ellipsoidal harmonics derived from Lamé functions, enabling efficient computation of the and surface . This approach, rooted in Chandrasekhar's theory, provides an exact solution for the electrostatic potential of homogeneous ellipsoids and extends to heterogeneous cases via methods, avoiding numerical approximations for symmetric geometries. Multipole expansions in ellipsoidal coordinates further facilitate the representation of the potential for non-spherical charge distributions, with Lamé functions serving as the basis for higher-order terms in the expansion. In , ellipsoidal coordinates are employed to solve the for particles in triaxial potentials, such as those modeling deformed atomic nuclei. For triaxial ellipsoidal quantum billiards, which approximate the confinement in irregularly shaped nuclei, the wavefunctions separate into products of one-dimensional solutions along the confocal coordinates, revealing semiclassical features like gross-shell structures. Additionally, the three-dimensional anisotropic separates in ellipsoidal coordinates when the frequency ratios satisfy specific commensurability conditions (e.g., \omega_x : \omega_y : \omega_z = 1 : \sqrt{2} : \sqrt{3}), yielding exact energy levels and eigenfunctions that capture the effects of deformation on quantum states. In acoustics and elasticity, ellipsoidal coordinates enable the analysis of and from ellipsoidal bodies using ellipsoidal harmonics. Low-frequency problems for waves or waves incident on ellipsoidal obstacles are solved by expanding the wavefield in terms of Lamé functions, providing insights into modes and patterns. For free of ellipsoids, the yields complete solutions, accounting for the body's triaxial shape and material properties, which is crucial for modeling seismic responses or in non-spherical media. Although distinct from used in , ellipsoidal coordinates relate to through the modeling of gravitational potentials around the Earth's reference , where harmonic expansions approximate terrain effects on the . In numerical methods, ellipsoidal coordinates form the basis for finite element meshes in simulations involving ellipsoidal domains, such as problems, by leveraging open-source implementations of ellipsoidal harmonics for efficient and boundary element solutions.

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