Use the positive Laplace-Beltrami operator, . A flat torus is the quotient , where is a full-rank Euclidean lattice and the metric descends from the Euclidean metric. Its dual lattice is
If is the covolume of , the functions descend to the torus. Direct differentiation gives the spectrum of a flat torus:
The multiset includes one entry for each dual vector. In particular zero has multiplicity one. Writing identifies the dual vectors with , . Standard Fourier series on the unit cube then prove that these functions are an orthonormal basis of on the torus. If , its Fourier coefficients satisfy . Thus every eigenfunction is a linear combination of the indicated shell of frequencies, with no additional eigenvalues. Compactness gives the discrete self-adjoint realization, whose eigenfunctions are smooth. For real functions the two characters at become cosine and sine, giving the same real multiplicities. The opposite Laplacian sign would negate all displayed eigenvalues without changing the rigidity conclusion.
To prove two-dimensional spectral rigidity, let and recover its Gram matrix from its vector-length multiset. Let be the shortest nonzero length and choose with . This vector is primitive: a proper integer multiple would have a shorter lattice vector. Hence . From the spectral multiset subtract exactly two occurrences of each length , . The remaining multiset consists precisely of the vectors not on this line, including correct multiplicities at coincident lengths. Its least length is the length of a shortest vector independent of .
The pair is a basis of . Otherwise take a lattice point in a nonzero coset of and reduce its two coefficients into . The resulting nonzero lattice vector is not on , by primitivity of . But
with strict inequality: when both coefficients are nonzero the triangle inequality is strict for independent vectors, and when one vanishes its length is at most . This contradicts the definition of . Subtract an integer multiple of from and, if necessary, change its sign to arrange ; minimality of makes this reduction possible without decreasing its length.
The covolume of is also spectral. The count of lattice vectors with length at most obeys
For example, translate a bounded fundamental parallelogram of diameter bound : the union of tiles with centres in contains and lies inside . Comparing their areas proves the leading coefficient. The spectrum supplies this count. Since is a lattice basis, its parallelogram area satisfies . Therefore
All three quantities are determined by the spectrum. Equal Gram matrices give an orthogonal map between the dual lattices; taking duals gives an orthogonal map between the original lattices, descending to a Riemannian isometry of the tori. Isospectral flat two-tori are isometric. This is the two-dimensional lattice reconstruction from vector lengths; it uses lengths with multiplicities, not merely the set of distinct lengths.
Consider two finite assemblies of the same number of congruent bounded Euclidean tiles. Label their matching faces so the same prescribed face identifications are used in both assemblies. For each face type , encode the first assembly by a symmetric involution : a paired face exchanges its two tile indices, an exterior Dirichlet boundary condition contributes diagonal , and an exterior Neumann boundary condition contributes diagonal . Let encode the second assembly. Face coordinates are pulled back to the same reference face; if identifications have additional face isometries, these pullbacks must be included in the intertwining operators.
The transplantation theorem says that a constant matrix with for every face type sends the vector of tile restrictions of a Laplacian eigenfunction on the first assembly to one on the second, by . If is invertible, it is a bijection of each eigenspace and the assemblies are isospectral with multiplicities.
To prove it, each component solves the same interior equation , and a constant linear combination solves that equation too. On a face, let be the vector of boundary values and the vector of outward normal derivatives. All matching and exterior conditions are exactly
For an internal face these equations say that values agree and the two outward derivatives sum to zero. For diagonal they impose zero value, and for diagonal zero normal derivative. The intertwining identity gives and , so the transplanted functions match and satisfy the correct boundary conditions. Applying proves the eigenspace bijection. At corners the same reasoning is interpreted in the finite-energy weak domain: no value jump and cancellation of normal flux prevent an extra distributional source. It gives the usual self-adjoint Dirichlet/mixed Laplacians on polygonal assemblies.
Here is an explicit transplantation by reflection parity. Take a rectangle of width and height , with the Dirichlet boundary condition on every exterior side. Cut it at its vertical midline into two congruent half-rectangles, pulling the right-hand half back by reflection. The midline gluing matrix is
Replace the connected assembly by the disjoint union of two width-, height- rectangles: the first has Dirichlet conditions on all sides; the second has Dirichlet on three sides and Neumann on the side representing the cut. Its corresponding matrix is . The invertible, indeed orthogonal, matrix
intertwines the midline conditions. Every other face has matrix on both assemblies, which automatically intertwines. The transplantation theorem proves equality of the complete spectra, although one surface is connected and the other has two components with the required uniform and mixed conditions.
Equivalently, odd reflection eigenfunctions vanish on the cut, while even reflection eigenfunctions have zero normal derivative there. A direct separation-of-variables check gives the connected rectangle's eigenvalues
Even gives the fully Dirichlet half-rectangle spectrum, and odd , , gives the mixed half-rectangle spectrum. The split preserves every multiplicity, including coincidences between different pairs of indices.
Figure 1.
Reflection splits a connected Dirichlet rectangle into a disjoint Dirichlet rectangle and a mixed Dirichlet-Neumann rectangle
.
Take to be a closed compact Riemannian manifold and use the positive Laplace-Beltrami operator. Its Riemannian heat kernel is the integral kernel of :
It solves for and tends to the identity kernel as . For an orthonormal eigenbasis, the spectral expansion of the Riemannian heat kernel is
The bar is required for a complex basis. With boundary, a specified invariant boundary condition must also be included in this definition.
For the quotient formula use the covering-space interpretation: acts freely and properly discontinuously by Riemannian isometries. On compact such a discrete group is finite. Freeness alone, without this covering hypothesis, does not justify the image sum: an infinite dense subgroup of circle rotations, for example, acts freely but has no manifold quotient. Positive-dimensional group actions require a different quotient analysis.
For lifts of , the heat kernel on a finite isometric quotient is
Invariance of under simultaneous Riemannian isometries and reindexing the sum show that this is independent of both lifts. A local isometry commutes with the Laplacian, so the sum satisfies the quotient heat equation. For its initial condition, integrate over a fundamental domain against a lifted function. The terms combine into the integral over all of , whose initial limit is . Uniqueness of the heat evolution proves the formula. There is no factor in this kernel formula.
On the diagonal the sum is -invariant. Its integral over is therefore times its integral over , giving the heat trace
Thus the normalization factor appears in the trace, not the kernel. Put . For any finite isometry group , changing variables proves : it is a class function on .
For Gassmann equivalent subgroups , their intersections with each conjugacy class have equal size, and their orders are equal. If both act freely, the heat traces of their quotients satisfy
so they agree for every . Since , equality determines the spectrum with multiplicities: take to recover the smallest eigenvalue and its multiplicity, subtract that term, and repeat. This proves Sunada theorem. Equivalently, projection onto -invariant functions averages the group action, and the quotient eigenvalue multiplicity is , with the eigenspace character of a representation. Almost conjugacy equalizes these averages.
Work over a complex Hilbert space; for a real space one first complexifies to discuss a complex spectrum. A bounded linear operator is self-adjoint when , where the adjoint operator is defined by
Equivalently, for every pair of vectors.
The spectrum of a bounded operator is
Its complement is the resolvent set. On a Banach space, a bounded bijective operator has a bounded inverse by the bounded inverse theorem, so failure of invertibility is equivalent to failure of bijectivity. An eigenvalue is one possible spectral point, but an injective operator that is not onto can also contribute to the spectrum.
If , the Neumann series gives
The series converges in operator norm because . Hence
The same argument applied to small perturbations of an invertible operator shows that the resolvent set is open and the spectrum is closed.
Suppose and . The quadratic form is real, so the Cauchy-Schwarz inequality implies
Thus is bounded below by : it is injective and has closed range. Its adjoint operator has the same lower bound and trivial kernel. Since
the range is dense as well as closed, and therefore is all of . The inverse has norm at most . For a bounded self-adjoint operator, . The closed-range and adjoint steps are essential: merely excluding nonreal eigenvalues would not exclude all nonreal spectral points.