1. Introduction
The precision of mathematical models in physics is inherently limited when viewed from a physicist standpoint. Such models are transient rather than eternal, subject to the passage of (entropic) time and contingent upon the scale at which they operate. To align with experimental observations and predictions, these models often undergo modifications, sometimes requiring radical transformations. In the dynamic interplay between the modeler and the modeled object, a degree of probability emerges, representing the level of epistemic confidence in the model’s appropriateness [
1].
This recognition of inherent uncertainty gives rise to the imperative of introducing some level of coarse-graining into the initial mathematical model, conceived to portray an ontic entity or fact. Take, for example, the inconceivability of irrational numbers in human perception, yet physical laws, for several centuries now, have been articulated in terms of real numbers, denoted as , constructed from the abstract concept of limits (such as the limit of Cauchy sequences of rational numbers).
Nevertheless, these profoundly abstract mathematical concepts have evolved to such a degree of familiarity that they now stand as an indispensable foundation for formulating descriptions of our environment. Serving as a robust backdrop, they assist us in imposing structure and establishing a set of physical laws capable of navigating the intricacies of complexity and chaos. In our pursuit of order, we inevitably organize observations through the lens of symmetry.
Beneath the allure of this aesthetic concept lies the intricate framework of mathematics, particularly the concept of a group, with all its potential generalizations, deformations, approximations, and the inherent challenges of incompleteness and partial versions. It is within this mathematical tapestry that we find the tools and principles allowing us to not only conceptualize but also articulate the laws that govern the universe, providing a coherent and profound understanding of our complex reality.
In this contribution, we harness the potency of these tools to reexamine the first elements of the sequence of unit spheres, denoted as , and explore their profound physical implications across various domains of physics. This exploration extends into realms such as atomic, molecular, nuclear, particle, and condensed matter physics, shedding light on the intricate interplay between the mathematical abstraction of spheres and their tangible relevance in understanding the fundamental structures and behaviors that underpin the diverse facets of the physical world.
We do not aspire to introduce entirely original content in this paper. Rather, this article is conceived as a fusion of fundamental (somewhat very basic) and advanced discussions on the mathematics of symmetry. The journey begins with a recapitulation of essential concepts pertaining to groups and semi-groups (
Section 2), followed by a freshman level reminder of algebraic and topological aspects of numbers (
Section 3). We then show the significant role played by simple or semi-simple Lie groups in elucidating symmetries across classical and quantum physics realms (
Section 4).
The core of this presentation centers on a reexamination of the realm of spheres (
Section 5), and the ensuing exploration of the associated geometry of Hopf fibrations (
Section 6). Furthermore, we unravel the mesmerizing simplifications that the spherical symmetry contributes to explaining the Balmer lines, detailing the spectral line emissions of the hydrogen atom—a proto-quantum formalism dating back to 1885 (
Section 7). The paper concludes with a succinct summary in
Section 8.
For those seeking a more in-depth understanding, Appendices
Appendix A and
Appendix B provide additional details on group actions and the Lie algebra formalism.
2. Semi-Groups and Groups
In this section we remind the main definitions concerning semi-groups, groups, and structures built from them. Usually these notions are supposed known, but remind them lies in the self-contained spirit of this contribution.
2.1. Definitions
A semi-group is a set equipped with an operation that combines any two elements , to form a third element while being associative, i.e. .
A group is a semi-group having an identity element e, and inverse elements, .
A group or semi-group is abelian if the operation is commutative: for all , e.g., translations in the line or to rotations on the circle or in the plane. Rotations in space are non-commutative.
Groups can be finite (e.g., permutations, point groups of symmetry of molecules), discrete (e.g., space group of symmetry of crystals), continuous (e.g., Euclidean displacements), Lie groups (infinitesimal transformations can be considered as well).
Continuous groups can be compact (parameters of transformation are bounded, e.g., rotations on the sphere) or non compact, e.g., translations in the plane.
Two elements
,
of a group
G are said
conjugate if there exists
such that
. This is an equivalence relation whose equivalence classes are called
conjugacy classes (one famous example is the Rubik cube where the essential property for winning is precisely the set of conjugate classes of one permutation group, see
Figure 1, and [
2] for explanation).
2.2. Example: Chirality
Chirality is the simplest example of a group:
, with
,
.
P is like mirror image. A figure is chiral if it cannot be mapped to its mirror image by rotations and translations alone. Examples are shown in
Figure 2 and
Figure 3.
A chiral object and its mirror image are said to be enantiomorphs.
An interesting question about mirror is shown in
Figure 4: Why does a mirror reverse left to right, but not top to bottom?
2.3. Building Groups from Subgroups
A subset
H of a group
G is a
subgroup of
G if it contains
e and is stable versus group operations:
and
.
Direct product of two groups
and
consists in glueing the two groups together, without interaction:
is simply their Cartesian product, endowed with the group law:
Neutral element is . With the identifications , both and are invariant subgroups of (think to the plane as the product of two lines, or to the torus as the product of two circles).
For
semi-direct product of two groups
and
, one suppose given a homomorphism
from
into the group
of automorphisms of
. Then one defines the semidirect product
as the Cartesian product, endowed with the group law:
Neutral element is and the inverse of is is (think to the affine group of the line, which combines dilation and translation).
2.4. Group Cosets
Let H be a subgroup of G. One says that mod H if there exists such that . Denoting the equivalence class of g mod H, the set of equivalence classes is denoted and called the left coset of G by H. Right coset is defined in a similar way as the set of equivalence classes .
2.5. Group Actions
Irreducibility linked to symmetry (and invariance) is the mathematical concept of a group, more precisely group of transformations (see
Appendix A for more details). Concretely, elements in a group
G, like the group of Euclidean displacements in the plane (semi-direct product of rotations and translations), transform into themselves objects in a set
X, like the set of triangles, in such a way that we can compose such transformations in an associative way and we can transform back too:
3. Numbers and Groups
In this section we implement the group material exposed above through the sequence of numbers, from the most elementary ones to some sophisticated objects like octonions and Cayley algebras.
3.1. Sets , ,
In preamble, one should remind that Arithmetic with (cardinal) Hindu-Arabic numerals is easy while it is inextricable with (ordinal) Roman numerals (
e.g.,
Figure 5).
The set of natural numbers (note that including 0 is now the common convention among set theorists and logicians) equipped with addition, is not a group (no inverse), just an abelian semi-group. Equipped with multiplication, is an abelian semi-group as well.
The set of rational integers , equipped with addition, is an abelian group. Equipped with multiplication, it is a semi-group.
The set of rational integers modulo p, : . Equipped with addition, it is a finite abelian group with p elements. Chirality corresponds to
3.2. Example: Cubic Relations
Richard Kerner, in a comprehensive series of papers (refer to [
4] for a detailed review), posited that cubic (or ternary) relations possess the ability to encapsulate diverse symmetries in relation to the permutation group
or its cyclic subgroup
.
Significantly, these insights find applications in the -graded generalization of Grassmann algebras, manifesting in their realization within the realm of generalized exterior differential forms. Moreover, they play an important role in the development of gauge theory founded upon this differential calculus and in the ternary generalization of Clifford algebras. These advancements not only unlock new perspectives in mathematical structures but also extend their reach to the realm of physics, providing a framework for describing families of quarks.
3.3. Set
The set of rational numbers is defined as the set of equivalence classes of pairs of integers with , . The equivalence class of is denoted .
The set
, together with the addition and multiplication operations shown below, forms a
field:
Actually is the prototype of the concept of field: a set on which addition, subtraction, multiplication, and division are defined and behave as the corresponding operations on rational.
3.4. Is Not “Complete”
Let us equip the field
with the
metrical topology associated with the distance
between two rationals
x and
y. This topology gives a sense to the notion of a
Cauchy sequence of rationals: one says that
is Cauchy if for all
, there exist
such that, for all
, one has
If
is a convergent rational sequence (that is,
), then it is a Cauchy sequence. On the other hand not all Cauchy sequences of rationals are convergent in
.
Our intuitive sense suggests that when a sequence of terms progressively approaches one another, they must be converging towards a specific value. Take, for instance, the sequence , an approximation for the positive solution to the algebraic equation , or the sequence , which approximates the non-algebraic (or transcendant) mythic length of the circumference of the unit circle. Both sequences adhere to the Cauchy criterion, signifying their terms draw near each other, yet they don’t converge to a rational number.
This observation prompts the existence of certain “irrational” numbers, denoted as “
” and “
”, towards which these sequences converge. Consequently, to encompass these irrational values, as well as all other numbers that Cauchy sequences seem to approach, one extends the number system beyond rationals [
5].
3.5. Unreal “Real” Numbers Complete Real Rationals!
It is this intuition which motivated Cauchy to use such sequences to define the real numbers:
is a completion of
. The real numbers are constructed as
equivalence classes of Cauchy sequences [
6]. Two Cauchy sequences
and
of rational numbers are equivalent if
,
i.e., if the sequence
tends to 0. The real numbers
are the equivalence classes of Cauchy sequences of rational numbers. That is, each such equivalence class is a real number. Through this construction,
inherits the algebraic field structure of
, and is complete for the metric topology: all Cauchy sequences of real numbers are convergent in
. In this sense one says that
is the closure of
:
,
i.e.,
contains all limit points of
. However there is a big difference: while
is
countable,
i.e., there exist a one-to-one map
, the field
is
uncountable.
3.6. Is “Algebraically Closed” and Complete
The algebraic equation
has no solution in
. So let us equip the set
(Cartesian product) with the commutative addition and multiplication operations:
Both operations afford
with a commutative field structure,
and
being the neutral elements for addition and multiplication respectively. This is the field of complex numbers and is denoted by
. One introduces the “imaginary” number
, imaginary because it is the square root of
[
7,
8,
9]. Indeed, one checks that
, and so
is solution of
(like the real
is solution of
). The complex numbers also form the real vector space of dimension two, with
as a standard basis. This justifies the notation
.
Introducing the mirror symmetry with respect to the real axis, , one checks that . Equipped with the topology associated with the distance , is complete, and, as a vector space, is isomorphic to the Euclidean plane.
Any algebraic equation , with complex coefficients, has n roots in , i.e., is algebraically closed (fundamental theorem of the algebra)
3.7. Complex Numbers Emerging from Tensor Product of Two Planes
There exists an interesting interpretation of the multiplication law (3.1) in terms of tensor product of two planes. The tensor product stands as a cornerstone, arguably the most distinctive one, in the realm of quantum mechanics. In essence, the Cartesian product, traditionally employed to model two systems independently in classical physics, undergoes a transformative process known as quantization. This metamorphosis results in the emergence of the tensor product of two vector spaces, a fundamental framework indispensable for understanding the intricacies of quantum mechanical systems.
First, we remind that a vector space V over a field , e.g., or , is a set whose elements or vectors, may be added together and multiplied (“scaled”) by elements (“scalars”) in . Two essential properties must be satisfied: the distributivity of scalar multiplication with respect to the vector addition and the distributivity of scalar multiplication with respect to field addition. Then, the tensor product of two vector spaces V and W (over the same field) is the vector space over is defined as the vector space over consisting of all bilinear forms from to . Note that while .
Hence the tensor product
of the plane with itself, with basis
, is the four-dimensional vector space of bilinear forms
where
. Any
real matrix
A can decompose as
with
The matrices
were introduced by Pauli [
10]. Hence, we have for the matrix elements of
:
Due to the algebraic relations
one can give the decomposition of the matrix
the bi-complex form:
Due to
, which means that the
are square roots of
, whilst
, the expression
is a matrix representation of the complex number
with the correspondences
,
, and
. The multiplication law defined in (3.1) perfectly aligns with the matrix multiplication operation represented as
. Now any matrix of the type (3.5) can be factorised as
This is the matrix form of the expression of the complex number in terms of its polar coordinates, , , mod .
The correspondence
is not inherently absolute; an alternative choice could be
. This ambiguity arises from the existence of two possible orientations when defining trigonometric functions: clockwise and anticlockwise. It is crucial to recognize that this feature should not be disregarded when transitioning from a formalism based on complex numbers to one expressed in terms of real numbers [
11].
3.8. 2D Lattices
3.8.1. General
Consider two complex numbers
,
such that
is
not real. They define the (“Bravais”) lattice in the plane
with
lattice basis (or primitive)
, and with
fundamental parallelogram [or
primitive (unit) cell] determined by
.
is a subgroup of
for the addition (∼ translation). Two pairs
,
are
equivalent if they generate the same lattice,
i.e., if there exists
, such that
The set of such matrices form the noncommutative
modular group PSL
(relevant for Weirstrass elliptic functions).
There are 5 possible Bravais lattices in 2-dimensional space: monoclinic (arbitrary
,
), tetragonal or (square
) , hexagonal (
), orthorhombic (rectangular
,
), and orthorhombic centered (rectangular centered). They are shown in
Figure 6.
3.8.2. Graphene Example
A (two-dimensional) crystal is a periodic array of atoms. For the graphene (hexagonal lattice or honeycomb),
Figure 7, the primitive translation vectors are alternatively defined as:
which means that
.
4. Symmetry and Group(s)
4.1. Symmetry in Physics
D. Gross, in his enlightening 1995 Physics Today article [
12] exploring Wigner’s legacy, aptly observed that
Einstein’s great advance in 1905 was to put symmetry first, to regard the symmetry principle as the primary feature of nature that constrains the allowable dynamical laws.
In contemporary physics, the principles of symmetry hold a paramount status as the most fundamental components of our description of nature. This prominence owes a significant debt to the influential contributions of the Princeton group, comprising notable figures such as Wigner, Bargmann, Weyl, Gödel, von Neumann, ..., from Princeton University and/or the Institute for Advanced Study (IAS). Their collective insights and groundbreaking work have played a pivotal role in elevating the significance of symmetry principles, making them a cornerstone in our understanding of the fundamental laws governing the physical universe.
The foundation of our comprehension regarding the existence of elementary particles is rooted in the relativity principle. This principle posits that physical laws remain invariant under fundamental transformations of inertial frames, specifically translation (implying homogeneity in space-time), rotation (indicating isotropy in space-time), and boosts. Together, these transformations constitute a relativity or kinematic group, known as the Galileo or Poincaré group. Notably, both groups exhibit a structure that can be described as a semi-direct product of subgroups. This conceptual framework has paved the way for a profound understanding of the nature and existence of elementary particles in the realm of physics. One should add the importance of
- •
discrete translational and rotational symmetries in classifying molecules, crystals, quasicrystals,
- •
continuous rotational symmetries (together with parity and time reversal) in explaining and classifying atomic spectra,
- •
unitary symmetries for describing and classifying nuclear spectra,
- •
unitary symmetries for describing strong and weak interactions (gauge fields) and successfully predicting the existence of new elementary particles.
In his 1963 Nobel lecture quoted by D. Gross, Wigner pointed out that progress in physics was partly based on the ability to separate the analysis of a physical phenomenon into two parts:
initial conditions that are arbitrary, complicated, unpredictable, as forming the “phase space" of a physical system in a wide sense, and laws of nature that summarize the regularities which are independent of the initial conditions.
Then, Wigner argued that symmetry or invariance principles provide a structure and coherence to the laws of nature: they summarize the regularities of the laws that are independent of the specific dynamics. Without regularities in the laws of nature we would be unable to discover the laws themselves.
One should also mention what Pierre Curie noticed in 1894 [
13] (Neuman-Minnigerode-Curie Principle):
When certain causes produce certain effects, the elements of symmetry of the causes must be found in the effects produced.
When certain effects reveal a certain asymmetry, this asymmetry must be found in the causes which gave rise to it.
Note that the reciprocal of these two assertions is not true. More precisely, the characteristic symmetry of a phenomenon is that symmetry which is best compatible with the existence of the phenomenon. A phenomenon can exist in surroundings which possess its characteristic symmetry or at least one subgroup of its characteristic symmetry. In other words, certain symmetry elements can exist together with certain phenomena but they are not necessary. But it is necessary that certain symmetry elements do not exist (Neuman-Minnigerode-Curie Principle).
4.2. Lie Groups and Lie Algebras
Building upon the foundational principles of symmetries and natural laws, as eloquently discussed by Levy-Leblond [
14], we delve deeper into one of their unescapable mathematical frameworks: the theory of Lie groups and algebras.
To a Lie group
G corresponds its Lie algebra
, where the notation exp takes it susual sense when we deal with group of matrices (see
Appendix B for more mathematical details). Simple or semi-simple Lie groups (Lie algebras), like (pseudo-)rotation groups or unitary groups or symplectic groups, are ubiquitous in Physics, see
Table 1 for the nomenclature.
Simple Lie algebras have been classified by Cartan through their one-to-one correspondence to possible (irreducible reduced) root systems in . There are four classes of classical (irreducible reduced) root systems in :
associated with unitary groups or their complexified or the real form .
associated with orthogonal (rotation) groups or their pseudo- rotation counterparts .
associated with symplectic groups .
associated with orthogonal (rotation) groups or their pseudo- rotation counterparts .
Moreover there are five exceptional cases: , , , , .
4.3. Physics and Low-Dimensional Root Systems
There exist isomorphisms between low-dimensional root systems (see
Appendix B). Borrowing its terminology to atomic spectroscopy one can enunciate that the lowest levels in the Cartan classification are occupied by the most familiar or well-known symmetries of our physics discipline:
- (i)
, (, ): space isotropy, spherical rotator, geometric optical devices, q-bits, Lorentz invariance, infinite well, isospin, kinematic groups of 1 + 1 de Sitter and Anti de Sitter space-times, ...
- (ii)
(
,
: orbital degeneracy of the Coulomb potential or Kepler problem [
18], two-dimensional square infinite well (quantum dot), ...
- (iii)
(): spatial harmonic oscillator, standard model color, q-trits, ...
- (iv)
(
,
): kinematic groups of 3+1 de Sitter [
19] and Anti de Sitter [
20] space-times, dynamical symmetry of the H atom discrete or continuous spectrum [
18], ...
- (v)
(
,
,
): gauge symmetries, conformal group of 3 + 1 de Sitter, Anti de Sitter and Minkowski space-times respectively, and their roles in the interpretation of the dark universe [
15,
16,
17], dynamical symmetry of the H atom discrete and continuous spectrum, AdS/DS-CFT, ...
5. Playing with Spheres
We now explore the world of unit spheres in light of group theory.
5.1. The Circle and Its Complexified Version
The unit circle is defined in the complex plane as . It is a compact multiplicative commutative group, denoted . One should think to the importance of this group in mathematics (e.g., Fourier series and integral) and in physics (e.g., gauge invariance in electrodynamics).
The complexified unit circle
is also a group. It is the non-compact multiplicative commutative group
An example is found with the motion of a particle on the unit circle: the corresponding phase space,
i.e., the set of pairs (angular position, angular momentum) is the infinite cylinder
whose the matrix form (5.1) is obtained through the maps
for the first factor and
for the second factor.
We could as well consider the free motion on the two-dimensional de Sitter space-time [
19]. The latter has the topology
. It may be visualized as the one-sheet hyperboloid
.
The phase space for such a motion is also a one-sheet hyperboloid with the same cylinder topology. In this case both the configuration space and the phase space have SO0 as invariance group.
5.2. The Sphere through Its Multifaceted Aspects
Our familiar sphere is “poor": no intrinsic group structure, save the fact that it includes mythological structures, like the five platonic solids (see next subsection). Then let us consider the next one in the sequence: the sphere . It may be identified with the compact multiplicative non-commutative group corresponding to . Think to the importance of this group in mathematics (e.g., harmonic analysis in space) and in physics (angular momentum, spin, q-bit, ...).
5.2.1. Sphere and Group SU
The relation of
to SU
is given by:
5.2.2. Sphere and Rotations in
Let us explain the relation between and the proper rotations in space . Any proper rotation in space is determined by a unit vector defining the rotation axis and a rotation angle about in the direct sense.
Figure 8.
Proper rotation of vector to by angle about unit vector in space .
Figure 8.
Proper rotation of vector to by angle about unit vector in space .
The action of such a rotation,
, on a vector
is given by:
The correspondence between elements rotations
and the matrix form
of
is understood as :
5.3. Sphere and Quaternions (Hamilton, 1843)
Let us equip the set
with the commutative addition and non-commutative multiplication operations:
Both operations afford
with a noncommutative field structure,
and
being the neutral elements for addition and multiplication respectively. This is the field of quaternions [
21,
22] and is denoted by
. One identifies
with the complex
u and one introduces the “quaternionic imaginary”
. One checks that
and the fundamental commutation rule
Hence we have the bicomplex notation for quaternions:
With the notations
and
, one has as well
, and
, with
. Hence, one can decompose any quaternion as
Quaternions form the real vector space of dimension 4, with as a standard basis. Quaternions with null scalar component, i.e., , are said pure vector quaternions.
With the bicomplex notation, one easily understands the origin of the multiplication law given in (5.3). With the scalar-vector notations, the quaternionic multiplication reads as
Introducing the mirror symmetry with respect to the 0th axis, , one checks that , (involutive), , and the inverse of is given by .
5.4. Quaternions and Space Rotations
Expressed in “polar” coordinates
,
, one obtains the matrix realisation of quaternions:
Hence, the correspondence (5.2) between elements
and rotations
in space is now understood in terms of quaternions:
5.5. Coquaternions (Cockle, 1849) versus Quaternions
It is interesting to compare the matrix realisation of quaternions with the decomposition (3.3) of the (Lie) algebra
composed of
real matrices. Forgetting this matrix realisation and considering the matrix basis
as pure numbers
obeying the same algebraic relations as those given in (3.2), one obtains the noncommutative ring
of
,
,
, named
coquaternions [
23,
24] or
split-quaternions. We remind that rings are algebraic structures that generalize fields in the sense that multiplicative inverses need not exist. With this scalar-vector form, the multiplication law for coquaternions reads as
If instead we start from the bicomplex form () and adopt the one-to-one correspondence matrix ↔ coquaternion
then the multiplication law reads
a formula to be compared with (5.3).
Ring
is equipped with the isotropic quadratic form
where
is the
conjugate of
q. Each coquaternion
q with
has inverse
. One checks that
.
The multiplicative group of coquaternions with
form the unit pseudo-sphere in
:
The topology of
is that of the Cartesian product
. This is inferred from the parametrisation with
:
Like the matrix realisation of is SU, the matrix realisation of is the group SL. The symmetry group of the quadratic form (5.9) on is O.
5.6. Complex Quaternions
The ring of complex quaternions is the tensor product
. It is just obtained from
by extending real scalars to complex ones in (5.6):
Note the biquaternion form of a complex quaternion:
(the correct writing should be
), which corresponds to the isomorphism
. The matrix representation of
is analogous to (5.7):
This establishes the ring isomorphism
. For more in-depth information, refer to [
20] where these objects are efficiently utilized to describe the two-fold covering Sp
of the Anti-de Sitter group SO
0.
5.7. The Complexified Sphere
The complexified sphere
is also a group. It is the (universal) covering
of the Lorentz group
. Let us consider the motion of a particle on
. The phase space is the cotangent bundle
This phase space can be identified with the complex sphere
through the following parametrization of the latter:
We could as well consider the free motion on the 3 + 1-dimensional de Sitter spacetime. The latter may be viewed as a one-sheeted hyperboloid embedded in a five-dimensional Minkowski space with metric
:
For the past years it has becoming a realistic model for our spacetime because of the observed non zero value of the cosmological constant
, a model accompanied of concepts like “dark energy" or “quintessence"). The phase space for the motion of a test particle on the de Sitter space-time has also the topology
or equivalently the complexified
. In this case both configuration space and phase space have
as invariance group. More details are found in the volume [
19].
5.8. The Sphere , Its Icosians and Its Icosian Ring
The group
has a finite subgroup denoted here by
with 120 elements, named icosians by Hamilton. There exists an icosian game invented by Hamilton [
25,
26]. It is a kind of Eulerian path through the 20 vertices of the dodecahedron, the dual polyhedron of the icosahedron (see
Figure 9, and the nice illustration in [
27]): a path such that every vertex is visited a single time, no edge is visited twice, and the ending point is the same as the starting point. Winning strategies use the icosian group
.
One has the isomorphism , where Y is the symmetry group (60 proper rotations) of the icosahedron (or of its dual, the dodecahedron).
Let us consider, together with the quaternionic unity 1, three unit-norm quaternions describing through (5.8) 72° rotations around three distinct five-fold axes of the icosahedron,
Here,
is the golden mean, with
, both being algebraic integers, solutions of the algebraic equation with integer coefficients
The
-span of
is the icosian ring
[
28] which fills densely
. One shows that
where
is the extension ring of the golden mean.
5.9. The Root System and Quasicrystals
Let us now consider the root system
. It is made of 240 vectors in
. The corresponding root lattice
is the
-span of
. Because of the crystallographic properties of
, we have:
where the
’s are the basis roots of the corresponding Dynkin diagram shown in (
Figure 8).
Subsequently, by selecting a particular four-dimensional plane within possessing a distinct “golden mean” orientation and executing the orthogonal projection of the root lattice onto this hyperplane, the result is the formation of the icosian ring .
Similar manipulations on the
root lattice projected onto
, on the
root lattice projected onto the plane
, and on the
root lattice projected onto the real line
, accompanied by “cuts" based on the choice of appropriate “windows", produce standard models for three-, two- and one-dimensional quasicrystals (
e.g., icosahedral quasicrystals, Penrose tilings, Fibonacci chain ...), as is shown in
Figure 10, [
29].
In
Figure 11 is shown an example of observed quasicrystalline surface.
5.10. Algebraic Modelling of Quasicrystals
Observed self-similarity factors
in quasicrystals are quadratic Pisot-Vijayaraghavan (PV) numbers,
i.e., roots
of some quadratic polynomial, whose leading coefficient is 1, whose coefficients are integers, and the other root is
in absolute value. In the case above, the factor is the golden mean
. The other ones are
Each such
determines a discrete set of the line,
, the set of “beta-integers” [
31], aimed to play the role of integers in the realm of such quasicrystalline studies. Un example is shown in
Figure 12 with the first tau-integers around the origin.
Beta-lattices
are precisely aimed to replace lattices in the context of quasicrystals. They are based on beta-integers, like lattices are based on integers:
with
a base of
. Examples are shown in
Figure 13 and
Figure 14.
5.11. Sphere and Octonions (Graves, 1843, Cayley, 1845)
Like
, the algebra
of octonions [
33,
34] is built by providing the Cartesian product
with the commutative addition and the non-commutative and non-associative product:
Let us introduce the 8 octonionic basis numbers:
(unity) and
with the commutation rules
We then obtain the biquaternion notation for octonions:
In octonionic calculations we should be aware of the non-associativity of the product, e.g., whilst .
The octonionic conjugate of the octonion x is defined as
This operation allows to define the Euclidean norm of
and its inverse if
.
Conjugation is involutive: , and one checks that .
Like the bicomplex notation (5.4)-(5.5) for quaternions, we also have the quadricomplex notation for octonions:
Finally, the Hurwitz theorem states that , and are the only normed division algebras over the real numbers (up to isomorphism), normed in the sense that . These four algebras also form the only alternative, finite-dimensional division algebras over the real numbers .
A general rotation in
,
i.e., an element among the 28 elements of SO
, can be written through successive right multiplications:
For a recent review on the role of octonions in Nuclear Physics, see [
35].
6. Higher Spheres and Hopf Maps and Fibrations
What about
? There is nothing really special from a strictly group point of view when we deal with higher dimensional spheres. Naturally many interesting topological features exist, like the Hopf fibrations [
36,
37]:
6.1. Hopf Fibrations
They are the following relations involving spheres the
:
where “↪” stands for embedding, and
p is the Hopf map. The first one is displayed in
Figure 15.
More generally, the Hopf construction gives circle bundles: over complex projective space. This is actually the restriction of the topological line bundle over to the unit sphere in .
One may also regard as lying in and factor out by unit real multiplication to obtain and a fiber bundle with fiber .
Note that one might regard as lying in (quaternionic n-space) and factor out by unit quaternion () multiplication to get . In particular, since , there is a bundle with fiber .
A similar construction with the octonions yields a bundle with fiber .
These bundles are sometimes also called Hopf bundles (real, quaternionic, and octonionic Hopf bundles). As a consequence of Adams’ theorem, these are the only fiber bundles with spheres as total space, base space, and fiber.
Hopf fibration surfaces show up in the description of quantum entanglement [
38,
39]. In particle physics they underly the mathematics of the Dirac monopole. It also appears in general relativity, for instance in the Robinson congruence (see for instance [
40]).
6.2. Group Interpretation of the First Hopf Map:
Let us consider the element
of
which brings the north pole of
to the direction
:
This gives the quadratic relations which exemplify the projection
p (Hopf’s map) of
onto the base space
:
One easily checks that the Hopf inverse of a point is a circle and that the Hopf inverse of a circle is a torus .
6.3. Group Interpretation of the Second Hopf Map:
We here consider the special group isomorphism proper to
(see
Figure A1):
It is understood through the action of the group
G on specific
-quaternionic matrices
Just consider the group element
,
, which brings the “north pole" of
,
, to the point
. We have
,
i.e.,
. This gives the quadratic relations:
The Hopf inverse of a point is the sphere and the Hopf inverse of a sphere is .
6.4. Group Interpretation of the Third Hopf Map:
The octonionic Hopf fibration finds its elegant description through the lens of the automorphism group G2 of the normed algebra of octonions. Actually, one can grasp its essence by considering the group Spin
(where Spin
serves as the two-fold covering of SO
), as explained in [
41].
7. Kepler Problem and Spheres
7.1. 1-Dimensional Kepler Problem
Consider the energy of a particle of mass
m trapped in a well determined on the positive line
by the attractive Kepler-Coulomb potential:
and
for
. Its energy is given by
Regularizing the Kepler problem consists in considering the alternative equation:
where
. Let us see how the Balmer laws [
42] come to light from the symmetry
. Let us onsider the three observables defined on the upper half-plane viewed as the phase space
:
Their Poisson brackets
obey the commutation relations of the Lie algebra
of
:
After quantization of these classical observables, say
, Poisson brackets become commutators, quantum counterparts become (essentially) self-adjoint operators acting in some Hilbert space of quantum states, and a specific unitary irreducible representation of
is involved. Precisely, that one for which the generator
has non zero positive integers multiples of
as spectral values. This is due to the fact the inverse operator
is compact. We remind that an operator
A on a infinite-dimensional Hilbert space
is said to be compact if it can be written in the form
where
and
are orthonormal sets (not necessarily complete) and the
’s form a sequence of positive numbers with limit zero (they can accumulate only at zero). Since the classical equation
becomes
, the spectral condition leads directly to the Balmer-like quantization of the energy:
7.2. Phase Space of the Regularized 1d-Kepler Problem: The Complexified Circle with Zero Radius
Let us show that the phase space of the regularized 1d-Kepler problem is the complexified circle with zero radius.
Following the Fock method [
43,
44] for displaying the symmetry of the H-atom, let us introduce the circle variable
(Inverse stereographic projection transforming the compactified momentum real line into the unit circle). By imposing that this change of variable be part of a canonical transformation of the phase space, the conjugate variable
to
reads:
One easily checks the two constraints:
Therefore, the pair
parametrizes the complex circle in
with null radius:
This is a geometric model for the phase space of the one-dimensional regularized Kepler problem, which can be identified to (cotangent bundle on with the zero-section deleted, named Moser manifold or Kepler manifold).
7.3. Phase Space of the Three-Dimensional Regularized Kepler Problem
The above material is easily generalisable to three dimensions. Indeed, the phase space of the three-dimensional regularized Kepler problem is the complexification of with radius 0.
Following Fock again in dealing with the more realistic 3-dimensional Coulomb-Kepler problem, let us introduce the
variable
(Inverse stereographic projection transforming the 3d-compactified momentum space into 3-sphere).
By imposing that this change of variable be part of a canonical transformation of the phase space, the conjugate variable
to
together with
parametrizes the complexification of
in
with null radius. This is the phase space of the three dimensional regularized Kepler problem, which can be identified with
(cotangent bundle on
with the zero-section deleted, Moser manifold or Kepler manifold, as named by Souriau [
45]).
The three-dimensional aspect of this structure explains the accidental degeneracy of the discrete spectrum of the hydrogen atom with its SO symmetry.
8. Conclusion
This contribution is an invitation to embark on an exploration of the realm governed by numbers, symmetries, and intricate symmetry groups, and, as a appealing illustration, to delve into the profound significance encapsulated within the fundamental aspects of the circle and higher-dimensional spheres. Its aim is to share our appreciation for their value in shaping our mathematical comprehension of the natural world and establishing the foundational principles that underpin the laws of physics.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data sharing not applicable.
Acknowledgments
The author expresses sincere gratitude both to the Krakow Interdisciplinary Doctoral School under the PROM Project PPI/PRO/2019/1/00016 of the Polish National Agency for Academic Exchange, 9-20 January 2023, and to the Programa de Pós-Graduação which includes both the Master’s and Doctorate programs in Physics, at the Centro Brasileiro de Pesquisas Físicas, Rio de Janeiro, for the invitation to deliver the 2023 course titled Symmetries in Physics in 5 lessons + complements. This article draws inspiration from the aforementioned course, and the author acknowledges the valuable opportunity provided by both invitations.
Conflicts of Interest
The author declares no conflict of interest.
Abbreviations
The following abbreviations are used in this manuscript:
UIR |
Unitary irreducible representation |
Appendix A. Group Actions
A transformation of a set S is a one-to-one mapping of S onto itself. A group G is realized as a transformation group of a set S if to each , there is associated a transformation of S where for any two elements and of G and , we have .
The set S is then called a G-space. A transformation group is transitive on S if, for each and in S, there is a such that . In that case, the set S is called a homogeneous G-space.
A (linear) representation of a group G is a continuous function which takes values in the group of nonsingular continuous linear transformations of a vector space , and which satisfies the functional equation and , the identity operator in , where e is the identity element of G. It follows that . That is, is a homomorphism of G into the group of nonsingular continuous linear transformations of .
A representation is unitary if the linear operators are unitary with respect to the inner product on . That is, for all vectors , in . A representation is irreducible if there is no non-trivial subspace such that for all vectors , is in for all . That is, there is no non trivial subspace of which is invariant under the operators .
Appendix B. Lie Algebra Material
Appendix B.1. General
Let
be a complex Lie algebra, that is, a complex vector space with an antisymmetric bracket
that satisfies the Jacobi identity
For , the relation gives a linear map ad: (endomorphisms of ), called the adjoint representation of .
Next, if dim
, it makes sense to define
B is a symmetric bilinear form on , called the Killing form of .
Alternatively, one may choose a basis
in
, in terms of which the commutation relations read
where
are called the structure constants and
dim
.
Then it is easy to see that defines a metric on , called the Cartan-Killing metric.
Appendix B.2. Roots and Cartan Classification
The Lie algebra is said to be simple, resp. semisimple, if it contains no nontrivial ideal, i.e., an additive subgroup of that “absorbs” multiplication from the left by elements of , i;e., , resp. Abelian ideal. A semisimple Lie algebra may be decomposed into a direct sum of simple ones. Furthermore, is semisimple iff the Killing form is nondegenerate (Cartan’s criterion).
Let be semisimple. Choose in a Cartan subalgebra , i.e., a maximal nilpotent subalgebra (it is in fact maximal Abelian and unique up to conjugation). The dimension ℓ of is called the rank of . A root of with respect to is a linear form on , , for which there exists in such that .
Then one can find (Cartan, Chevalley) a basis
of
, with the following properties.
is a basis of
and each generator
is indexed by a nonzero root
, in such a way that the commutation relations (
A3) may be written in the following form:
where
if
is not a root.
Let denote the set of roots of . Note that the nonzero roots come in pairs: , and no other nonzero multiple of a root is a root.
Accordingly, the set of nonzero roots may be split into a subset of positive roots and the corresponding subset of negative roots .
The set is contained in a simplex (convex pyramid) in , the edges of which are the so-called simple positive roots, i.e., positive roots which cannot be decomposed as the sum of two other positive roots. Of course, the same holds for .
The consideration of root systems is the basis of the Cartan classification of simple Lie algebras into four infinite series and five exceptional algebras .
Appendix B.3. Dynkin Diagrams: General
The roots of a complex Lie algebra form a lattice of rank
n in the dual of a Cartan subalgebra
, where
n is the Lie algebra rank of
. Hence, the root lattice can be considered as a lattice in
. A vertex, or node, in the Dynkin diagram is drawn for each Lie algebra simple root, which corresponds to a generator of the root lattice. Between two nodes
and
, an edge is drawn if the simple roots are not perpendicular. One undirected single edge is drawn if the angle between them is
, a directed double edge if the angle is
, and a directed triple edge is drawn if the angle is
. There are no other possible angles between Lie algebra simple roots. The term “directed edge” means that double and triple edges point toward the shorter (black circle) vector. Dynkin diagrams are shown in
Figure A1,
Figure A2,
Figure A3,
Figure A4.
Appendix B.4. From Top to Bottom, Dynkin Diagrams for A n , B n , C n , D n
Figure A1.
Dynkin diagrams , , ,
Figure A1.
Dynkin diagrams , , ,
Appendix B.5. Dynkin Diagrams G 2 , F 4 , E 6 , E 7 , E 8
Figure A2.
From top to bottom: Dynkin diagrams for , , , ,
Figure A2.
From top to bottom: Dynkin diagrams for , , , ,
Appendix B.6. Examples: Roots A 1 ×A 1 , A 2 , B 2
Appendix B.7. Examples: Roots C 2 , D 2 , G 2
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