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Hilbert's third problem
Hilbert's third problem
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Two polyhedra of equal volume, cut into two pieces which can be reassembled into either polyhedron

The third of Hilbert's list of mathematical problems, presented in 1900, was the first to be solved. The problem is related to the following question: given any two polyhedra of equal volume, is it always possible to cut the first into finitely many polyhedral pieces which can be reassembled to yield the second? Based on earlier writings by Carl Friedrich Gauss,[1] David Hilbert conjectured that this is not always possible. This was confirmed within the year by his student Max Dehn, who proved that the answer in general is "no" by producing a counterexample.[2]

The answer for the analogous question about polygons in 2 dimensions is "yes" and had been known for a long time; this is the Wallace–Bolyai–Gerwien theorem.

Unknown to Hilbert and Dehn, Hilbert's third problem was also proposed independently by Władysław Kretkowski for a math contest of 1882 by the Academy of Arts and Sciences of Kraków, and was solved by Ludwik Antoni Birkenmajer with a different method than Dehn's. Birkenmajer did not publish the result, and the original manuscript containing his solution was rediscovered years later.[3]

History and motivation

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The formula for the volume of a pyramid, one-third of the product of base area and height, had been known to Euclid. Still, all proofs of it involve some form of limiting process or calculus, notably the method of exhaustion or, in more modern form, Cavalieri's principle. Similar formulas in plane geometry can be proven with more elementary means. Gauss regretted this defect in two of his letters to Christian Ludwig Gerling, who proved that two symmetric tetrahedra are equidecomposable.[3]

Gauss's letters were the motivation for Hilbert: is it possible to prove the equality of volume using elementary "cut-and-glue" methods? Because if not, then an elementary proof of Euclid's result is also impossible.

Dehn's proof

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Dehn's proof is an instance in which abstract algebra is used to prove an impossibility result in geometry. Other examples are doubling the cube and trisecting the angle.

Two polyhedra are called scissors-congruent if one can be cut into finitely many polyhedral pieces that can be reassembled to form the other. Any two scissors-congruent polyhedra have the same volume. Hilbert asks about the converse.

For every polyhedron , Dehn defines a value, now known as the Dehn invariant , with the property that, if is cut into polyhedral pieces , then In particular, if two polyhedra are scissors-congruent, then they have the same Dehn invariant. He then shows that every cube has Dehn invariant zero while every regular tetrahedron has non-zero Dehn invariant. Therefore, these two shapes cannot be scissors-congruent.

A polyhedron's invariant is defined based on the lengths of its edges and the angles between its faces. If a polyhedron is cut into two, some edges are cut into two, and the corresponding contributions to the Dehn invariants should therefore be additive in the edge lengths. Similarly, if a polyhedron is cut along an edge, the corresponding angle is cut into two. Cutting a polyhedron typically also introduces new edges and angles; their contributions must cancel out. The angles introduced when a cut passes through a face add to , and the angles introduced around an edge interior to the polyhedron add to . Therefore, the Dehn invariant is defined in such a way that integer multiples of angles of give a net contribution of zero.

All of the above requirements can be met by defining as an element of the tensor product of the real numbers (representing lengths of edges) and the quotient space (representing angles, with all rational multiples of replaced by zero).[4] For some purposes, this definition can be made using the tensor product of modules over (or equivalently of abelian groups), while other aspects of this topic make use of a vector space structure on the invariants, obtained by considering the two factors and to be vector spaces over and taking the tensor product of vector spaces over . This choice of structure in the definition does not make a difference in whether two Dehn invariants, defined in either way, are equal or unequal.

For any edge of a polyhedron , let be its length and let denote the dihedral angle of the two faces of that meet at , measured in radians and considered modulo rational multiples of . The Dehn invariant is then defined as where the sum is taken over all edges of the polyhedron .[4] It is a valuation.

Further information

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In light of Dehn's theorem above, one might ask "which polyhedra are scissors-congruent"? Sydler (1965) showed that two polyhedra are scissors-congruent if and only if they have the same volume and the same Dehn invariant.[5] Børge Jessen later extended Sydler's results to four dimensions.[6] In 1990, Dupont and Sah provided a simpler proof of Sydler's result by reinterpreting it as a theorem about the homology of certain classical groups.[7]

Debrunner showed in 1980 that the Dehn invariant of any polyhedron with which all of three-dimensional space can be tiled periodically is zero.[8]

Unsolved problem in mathematics
In spherical or hyperbolic geometry, must polyhedra with the same volume and Dehn invariant be scissors-congruent?

Jessen also posed the question of whether the analogue of Jessen's results remained true for spherical geometry and hyperbolic geometry. In these geometries, Dehn's method continues to work, and shows that when two polyhedra are scissors-congruent, their Dehn invariants are equal. However, it remains an open problem whether pairs of polyhedra with the same volume and the same Dehn invariant, in these geometries, are always scissors-congruent.[9]

Original question

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Hilbert's original question was more complicated: given any two tetrahedra T1 and T2 with equal base area and equal height (and therefore equal volume), is it always possible to find a finite number of tetrahedra, so that when these tetrahedra are glued in some way to T1 and also glued to T2, the resulting polyhedra are scissors-congruent?

Dehn's invariant can be used to yield a negative answer also to this stronger question.

See also

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References

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Further reading

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Hilbert's third problem asks whether any two polyhedra of equal volume in three-dimensional can be dissected into a finite number of congruent polyhedral pieces and reassembled, using only rigid motions, to form one another—a known as equidecomposability. This question extends the two-dimensional Bolyai–Gerwien theorem, which affirms equidecomposability for polygons of equal area, to the third dimension and challenges assumptions in about volume equivalence through finite dissections. The problem was posed by as the third of his 23 influential mathematical problems during his address at the in on August 8, 1900. Hilbert motivated it by referencing earlier work, including Carl Friedrich Gauss's inquiries into proving polyhedral volumes without infinite methods like exhaustion, and expressed doubt that equidecomposability always holds in three dimensions, seeking a involving tetrahedra of equal base and height. It was the first of to be resolved, underscoring the challenges in extending planar dissection results to spatial figures. Max Dehn, Hilbert's student, provided a negative solution in 1901 by introducing the Dehn invariant, a functional on polyhedra defined as the sum over all edges ee of the edge length (e)\ell(e) multiplied by a involving the θ(e)\theta(e) at that edge, specifically D(P)=e(e)(θ(e)/π)D(P) = \sum_e \ell(e) \otimes (\theta(e)/\pi), where angles are in radians and the operation is in the real R(R/πZ)\mathbb{R} \otimes (\mathbb{R}/\pi\mathbb{Z}). This invariant is additive under polyhedral decompositions—meaning D(P)=D(P1)+D(P2)D(P) = D(P_1) + D(P_2) if PP is dissected into P1P_1 and P2P_2—and thus preserved for equidecomposable polyhedra, but it is independent of volume. Dehn demonstrated that a regular and a of equal volume have different Dehn invariants, proving they are not equidecomposable and resolving the problem negatively. The resolution highlighted the inadequacy of volume alone for determining scissors congruence in three dimensions and spurred developments in , including later work by Jean-Pierre Sydler in 1965, who proved that equality of volume and Dehn invariant is necessary and sufficient for equidecomposability of polyhedra in E3\mathbb{E}^3. Hilbert's third problem remains a cornerstone in the study of dissection problems, influencing areas such as and higher-dimensional analogs.

Background

Hilbert's List of Problems

In 1900, at the Second in , German mathematician delivered an invited address titled "Mathematical Problems," in which he outlined 23 unsolved challenges intended to shape the direction of mathematical research for the . During the lecture on August 8, Hilbert verbally presented 10 of these problems, with the complete list published in the proceedings shortly thereafter. This presentation marked a pivotal moment, as Hilbert sought to identify key open questions that would drive progress across by focusing efforts on foundational and unresolved issues. The 23 problems encompassed a broad spectrum of mathematical domains, including , , , , and even connections to physics, serving as enduring benchmarks for innovation and rigor in the field. For instance, Problem 1 addressed the and the in , while Problem 2 concerned the consistency of the axioms of arithmetic; the third focused on the scissors congruence of polyhedra in geometry. Hilbert himself articulated the profound role of these problems in advancing mathematical discovery and rigor, declaring that "the investigator tests the temper of his steel" through their pursuit, thereby expanding methods and uncovering hidden truths. He further emphasized that rigorous solutions to such challenges would simplify proofs and foster new theoretical frameworks, aligning with a "universal philosophical necessity" for precision in science. Several of the 23 problems were resolved during Hilbert's lifetime (1862–1943), with the third resolved shortly after its proposal; the remainder continued to inspire generations of mathematicians well into the and beyond.

Polyhedra and Volume Equivalence

A is a three-dimensional solid bounded by a finite number of flat polygonal faces, connected along straight edges and meeting at vertices. In ancient , Euclid's Elements (c. 300 BCE) provided foundational results on volumes of basic polyhedra, such as establishing in Book XII that pyramids with equal bases and equal heights have equal volumes, and deriving formulas for tetrahedra and other pyramidal solids through comparisons with prisms. Volume serves as a fundamental measure of the space enclosed by a , remaining invariant under rigid motions such as translations and rotations, which preserve distances and orientations without altering the shape's intrinsic size. By the late , it was established that in two dimensions, any two polygons of equal area could be dissected into finitely many polygonal pieces that reassemble via rigid motions to form the other, as proven independently by in 1833 and Paul Gerwien in 1835 (building on William Wallace's 1807 formulation). This result, known as the Bolyai-Gerwien theorem, suggested analogous questions about whether equal in three dimensions would permit similar dissections of polyhedra. Dissection in this context refers to partitioning a into a finite number of smaller polyhedral pieces via planar cuts, such that these pieces can be rearranged using only rigid motions—translations, rotations, and reflections—to form another of the same . A representative example is the regular tetrahedron, the simplest with four triangular faces; its VV is given by V=16det(M),V = \frac{1}{6} \left| \det(M) \right|, where MM is the 3×3 matrix whose columns are the coordinate vectors of three vertices relative to the fourth.

The Problem Statement

Original Formulation

Hilbert posed his third problem during his address at the Second in , focusing on the foundational aspects of geometric volume in three dimensions. In the lecture, he specifically questioned the provability of on the volumes of triangular pyramids (tetrahedra) without relying on the axiom of continuity or ' axiom. The exact statement reads: "In two letters to Gerling, Gauss expresses his regret that certain theorems of depend upon the , i.e. in modern phraseology, upon the axiom of continuity (or upon the axiom of ). Gauss mentions in particular the theorem of , that triangular pyramids of equal altitudes are to each other as their bases. Now the analogous problem in the plane has been solved. Gerling also succeeded in proving the equality of volume of symmetrical polyhedra by dividing them into congruent parts. Nevertheless, it seems to me probable that a general proof of this kind for the theorem of just mentioned is impossible, and it should be our task to give a rigorous proof of its impossibility. This would be obtained, as soon as we succeeded in specifying two tetrahedra of equal bases and equal altitudes which can in no way be split up into congruent tetrahedra, and which cannot be combined with congruent tetrahedra to form two polyhedra which themselves could be split up into congruent tetrahedra." This formulation targets the scissors congruence of tetrahedra but extends to the broader question of whether any two polyhedra of equal are equidecomposable, meaning one can be dissected into finitely many polyhedral pieces that reassemble into the other via isometries. In Hilbert's context, the polyhedra are implicitly assumed to be convex to ensure well-defined dissections without topological complications, and the pieces are polyhedra themselves. Reassembly occurs through rigid motions—translations and rotations—excluding reflections to preserve orientation, though the original statement uses "congruent" which traditionally allows mirrors in some geometric contexts unless specified otherwise. Hilbert framed the problem as a test of whether three-dimensional scissors congruence follows the pattern established in two dimensions, where the Bolyai-Gerwien theorem affirms that any two polygons of equal area are equidecomposable by and rigid reassembly. His motivation stemmed from foundational concerns in , echoing Gauss's concerns about the reliance on continuity axioms for volume proofs, aiming to determine if volume alone suffices as an invariant for equidecomposability in 3D without such axioms. The problem was presented on August 8, 1900, as part of Hilbert's list of 23 challenges, and was regarded as relatively accessible compared to more abstract entries, given its concrete geometric nature and ties to classical Euclidean results.

Relation to Scissors Congruence

Scissors congruence provides a formal framework for understanding Hilbert's third problem, generalizing the notion of dissection and reassembly in . Two polyhedra PP and QQ in Euclidean 3-space are said to be scissors congruent, denoted PQP \sim Q, if PP can be dissected into a finite number of polyhedral pieces that can be rigidly moved via isometries (rotations and translations) and reassembled to form QQ. This relation captures the intuitive idea of cutting and rearranging shapes without stretching or overlapping, preserving the geometric structure through congruence of the pieces. Hilbert's third problem specifically inquires whether equal volume is sufficient for scissors congruence among polyhedra in 3D, posing the question of whether vol(P)=vol(Q)\operatorname{vol}(P) = \operatorname{vol}(Q) implies PQP \sim Q. In contrast, this equivalence holds in two dimensions: by the Wallace–Bolyai–Gerwien theorem, any two polygons of equal area are scissors congruent via finite dissections into congruent pieces. Thus, volume (or area) serves as a necessary condition for scissors congruence in any dimension, as the operation preserves measure, but the problem highlights whether it is also sufficient in three dimensions. The relation \sim is an equivalence relation on the set of polyhedra, being reflexive (a polyhedron is congruent to itself without dissection), symmetric (reassembly reverses the process), and transitive (composing dissections of intermediate forms). However, equal volume is only a necessary condition for PQP \sim Q in 3D, not sufficient, as demonstrated by later counterexamples, underscoring the need for further geometric invariants to classify polyhedra up to this equivalence. Hilbert's formulation thus emphasizes the quest for such invariants beyond mere volume to resolve the scissors congruence question.

Historical Context

Pre-Hilbert Developments

In the early , mathematicians advanced the study of geometric dissections primarily in the plane, laying groundwork for later three-dimensional inquiries. The Wallace–Bolyai–Gerwien theorem, developed between the 1830s and 1860s, establishes that any two simple of equal area are equidissectable: they can be cut into a finite number of polygonal pieces that reassemble via rigid motions to form the other . This result was independently proved by Paul Gerwien in 1833, building on unpublished work by from around 1807 and Farkas Bolyai's formulation in 1831, which emphasized decomposition into triangles of equal area before rearrangement into squares. The theorem highlighted the sufficiency of area as an invariant for planar equivalence but left open whether volume played an analogous role in three dimensions. By the late , the extension to polyhedra sparked debate, with no general proof that equal-volume solids could be dissected into each other, yet no counterexamples identified before 1900. In the , foundational discussions in questioned whether volume alone guaranteed such equivalence in 3D, mirroring planar successes but complicated by the rigidity of spatial figures. These debates were influenced by efforts to compute polyhedral volumes precisely, which underscored the need for rigorous volume invariants beyond simple formulas. Hilbert's student Max Dehn, who studied under him at , encountered these issues through Hilbert's lectures on geometric foundations. David Hilbert's Grundlagen der Geometrie (1899) addressed these concerns by introducing a complete for , with axioms of congruence that formalized equivalence relations essential for arguments. This rigor exposed gaps in prior notions of spatial equivalence, where intuitive equality had not been tied to finite decompositions. Specific cases illustrated the challenge: in 1896, M. J. M. Hill showed that certain irregular tetrahedra could be dissected into cubes of equal using finite polyhedral pieces, but such results were limited to particular shapes and did not generalize to arbitrary polyhedra. These pre-Hilbert developments thus revealed the theorem's planar power while underscoring unresolved limitations in higher dimensions.

Hilbert's Motivation at the 1900 Congress

The Second took place in from August 6 to 11, 1900, providing a platform for leading mathematicians to discuss advancements and future directions in the field. On August 8, delivered his seminal address titled "Mathematical Problems," in which he outlined 23 open questions intended to stimulate research and unify mathematical efforts over the coming century. By presenting these problems, Hilbert aimed to highlight vital areas of inquiry, emphasizing their role in fostering progress and resolving foundational uncertainties in . Hilbert's selection of the third problem was deeply rooted in his ongoing work on the foundations of geometry, particularly following the publication of his Grundlagen der Geometrie in 1899, which axiomatized Euclidean plane geometry without relying on continuity assumptions. Drawing from correspondence by expressing dissatisfaction with the in proofs of theorems—such as Euclid's result that tetrahedra with equal bases and heights have equal volumes—Hilbert sought invariants for three-dimensional geometric equivalences analogous to those in algebraic , a field to which he had contributed significantly earlier in his career. He viewed the question of whether two such tetrahedra could always be dissected into finitely many congruent polyhedra as a rigorous test of geometric principles, especially since the two-dimensional analogue for polygons of equal area had been affirmatively resolved through dissections, as shown by results like the Bolyai-Gerwien theorem. Although influenced by these planar successes, Hilbert conjectured a negative outcome for the three-dimensional case, placing the problem third in his list due to its seemingly tractable nature for establishing such impossibility. Following the congress, Hilbert's student Max Dehn provided a negative solution in 1901 by constructing two polyhedra of equal volume that were not congruent, confirming Hilbert's far more swiftly than anticipated. This outcome exemplified Hilbert's broader philosophical stance, articulated in his address, that precisely formulated problems serve as the primary drivers of mathematical advancement—much like his sixth problem, which called for the axiomatization of physical theories to parallel the rigor of .

Dehn's Solution

Introduction to the Dehn Invariant

The Dehn invariant serves as a crucial geometric measure that captures properties of polyhedra beyond their , addressing the limitations of volume additivity in dissections. While is preserved under scissors congruence—meaning that polyhedra can be dissected into finitely many pieces that reassemble without gaps or overlaps—the dihedral angles along edges may not align in the same way during reassembly, potentially leading to incongruent configurations despite equal s. This discrepancy motivated the development of an angle-sensitive invariant to distinguish polyhedra that are not scissors congruent, even when their volumes match. Introduced by Max Dehn in 1900, shortly after posed his third problem at the , the Dehn invariant provides a tool to resolve whether all equal-volume polyhedra are scissors congruent. At age 23 and as Hilbert's doctoral , Dehn formulated this invariant in his paper "Über raumgleiche Polyeder," demonstrating its role in disproving the for certain cases like tetrahedra and cubes. The invariant operates in the space R(R/πQ)\mathbb{R} \otimes (\mathbb{R}/\pi\mathbb{Q}), where real numbers represent lengths and the quotient accounts for angles modulo rational multiples of π\pi. Formally, for a PP, the Dehn invariant D(P)D(P) is defined as the sum over all edges ee of the of the edge length e\ell_e and the θe\theta_e: D(P)=eeθe,D(P) = \sum_e \ell_e \otimes \theta_e, where θe\theta_e is measured in radians. This construction ensures additivity over dissections, making D(P)D(P) invariant under scissors congruence operations. For example, polyhedra such as cubes have D(P)=0D(P) = 0, as their dihedral angles are rational multiples of π\pi, which lie in πQ\pi\mathbb{Q} and thus vanish in the structure; however, the invariant is not determined solely by , allowing it to detect non-equivalence in other polyhedra.

Proof that Tetrahedra Are Not Scissors Congruent

To demonstrate that not all polyhedra of equal are scissors congruent, Max Dehn constructed an explicit using a regular TT and a CC, both of 1. These polyhedra have the same but differ in their Dehn invariants, which must be preserved under scissors congruence. For the CC with edge length a=1a = 1 (ensuring 1), all twelve edges have length aa, and all dihedral angles are π/2\pi/2. The Dehn invariant is thus D(C)=12a(π/2)D(C) = 12 a \otimes (\pi/2). Since π/2=(1/2)ππQ\pi/2 = (1/2)\pi \in \pi\mathbb{Q}, this term vanishes in the quotient space R/πQ\mathbb{R}/\pi\mathbb{Q}, yielding D(C)=0D(C) = 0. In contrast, the regular TT with volume 1 has six edges, all sharing the same θ=arccos(1/3)70.53\theta = \arccos(1/3) \approx 70.53^\circ. The Dehn invariant simplifies to D(T)=6lθD(T) = 6 l \otimes \theta, where ll is the edge length. Since θ/π\theta / \pi is , θπQ\theta \notin \pi\mathbb{Q}, so this tensor does not vanish. Assume for contradiction that TT and CC are congruent. Then their Dehn invariants must be equal: D(T)=D(C)=0D(T) = D(C) = 0. However, the non-vanishing D(T)D(T) arises from the over Q\mathbb{Q} of 11 and θ/π\theta / \pi, implying D(T)0D(T) \neq 0. This contradiction proves that no finite of TT can be reassembled into CC, or vice versa. Dehn presented this argument in his 1900 paper "Über raumgleiche Polyeder."

Implications and Extensions

Role in Invariant Theory

Dehn's solution to Hilbert's third problem introduced a novel geometric invariant that played a pivotal role in advancing within , particularly by demonstrating the necessity of additional measures beyond volume for equivalence under dissection. This work aligned with Hilbert's broader vision in his sixth problem, which called for an axiomatic treatment of physical sciences using mathematical structures, including invariants derived from geometric foundations. Dehn's invariant served as an early exemplar of how such geometric tools could provide rigorous, non-trivial distinctions in axiomatic , influencing the quest for complete axiomatizations in related fields. The Dehn invariant's construction, involving sums over edge lengths tensored with dihedral angles modulo π, exemplified a structure that modeled angle-based obstructions to congruence: specifically, elements in the RZ(R/πZ)\mathbb{R} \otimes_{\mathbb{Z}} (\mathbb{R}/\pi \mathbb{Z}). This algebraic formulation not only resolved the specific of a regular tetrahedron and of equal being non-scissors-congruent but also highlighted the interplay between linear algebra and in invariant design. Such structures underscored the shift from classical toward more abstract frameworks, where invariants captured symmetries and obstructions in a manner amenable to group-theoretic . Dehn's approach inspired subsequent generalizations to , where the invariant was extended to higher dimensions and manifolds, notably through Sydler's 1965 establishing that and the Dehn invariant fully classify scissors congruence for Euclidean polyhedra in three dimensions. This work paved the way for further topological applications, linking scissors congruence to manifold decompositions and problems. In the and , mathematicians, building on Dehn's ideas, formalized scissors congruence as abelian groups, studying their structure to classify equivalence classes under . More broadly, Dehn's invariant contributed to the evolution of by bridging geometric dissection problems with algebraic and topological tools, including connections to Lie groups via representations of motion groups and their homology. This integration facilitated a deeper understanding of how discrete decompositions relate to continuous symmetries, influencing developments in and .

Modern Developments in Geometric Measure Theory

In 1965, Jean-Pierre Sydler established a landmark result in three-dimensional , proving that two polyhedra are scissors congruent if and only if they have the same volume and the same Dehn invariant. This theorem provided an affirmative resolution to the broader question of scissors congruence beyond Hilbert's original focus on tetrahedra, confirming that these two invariants suffice to classify all such equivalences in E3\mathbb{E}^3. In higher dimensions, the situation becomes more complex, requiring additional invariants beyond volume and the Dehn invariant to determine scissors congruence. Early work in the highlighted the need for extended invariants, and this was further developed in the 1980s by John Dupont and Chih-Han Sah, who constructed analogs of the Dehn invariant using group homology and characteristic classes to address polyhedral decompositions in En\mathbb{E}^n for n>3n > 3. Their framework revealed that the scissors congruence groups in higher dimensions involve richer algebraic structures, such as twisted homology, leading to a hierarchy of obstructions not present in three dimensions. Applications of scissors congruence have extended to non-Euclidean settings, particularly and Riemannian manifolds, where volume and Dehn-like invariants play a key role in classifying decompositions. In Hn\mathbb{H}^n, scissors congruence classes are associated with fundamental domains of discrete groups, enabling the computation of hyperbolic volumes for 3-manifolds and linking to broader questions in . These developments contribute to understanding volume spectra and asymptotic behaviors in manifolds, aligning with aspects of Hilbert's 18th problem concerning the distribution of geometric invariants on curved spaces. Recent advancements in the 2020s have incorporated computational methods to verify Dehn invariants for specific polyhedra and manifolds, leveraging software to enumerate families of tetrahedra with zero Dehn invariant and test scissors congruence hypotheses. Such tools facilitate large-scale checks of invariant equalities, providing empirical support for theoretical classifications in both Euclidean and hyperbolic contexts. In 2024 and 2025, further progress has connected scissors congruence to algebraic , including the introduction of K-theory spectra for equivariant manifolds and explicit trace maps from higher scissors congruence groups to group homology, as explored in recent papers and conferences. An important extension arises in non-scissors decompositions, exemplified by the Banach-Tarski paradox of 1924, which demonstrates paradoxical finite-piece equivalences using non-measurable sets under rotations, contrasting sharply with the measurable, polyhedral restrictions of scissors congruence. This highlights the role of the in enabling decompositions that evade volume preservation, offering a counterpoint to the invariant-controlled equivalences in .

References

  1. https://proofwiki.org/wiki/Wallace-Bolyai-Gerwien_Theorem
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