1. Introduction
Among the different techniques for determining the polarimetric properties of material media, absolute (or complete) Mueller polarimetry is particularly prominent because the measured Mueller matrix for each experimental configuration (transmission, reflection, scattering, angle of incidence and observation, spectral profile and spot-size of the probing light, measurement time, etc.) provides up to 16 independent parameters.
Such parameters contain complete information of the second-order properties of the medium regarding its linear polarimetric interaction with the probing electromagnetic wave, but they are affected by bilinear and quadratic constraining inequalities derived from the physical exigency that the eigenvalues of the positive semidefinite Hermitian coherency matrix C associated with a given Mueller matrix M are nonnegative.
Measured Mueller matrices provide information on the nature, structure, morphology and other properties of a huge variety of material samples [
1], including scattering by particles, aerosols and hydrosols [
2,
3,
4,
5,
6,
7] where the symmetries play a key role [
8,
9,
10,
11]. A way to understand the physical information provided by
M is to design a general algebraic or geometric synthesizer of Mueller matrices, where the way in which the overall polarimetric properties are generated arises in a natural manner.
From a geometric point of view, and, unlike what happens with the intensity normalized Stokes parameters of two-dimensional polarized light states, which can readily be represented geometrically by means of the Poincaré sphere, normalized Mueller matrices correspond to points located into a 15-dimensional quadric and therefore do not admit a simple and direct geometric representation akin to that of the Poincaré sphere. Nevertheless, it has been demonstrated that, up to a scale factor that regulates the mean intensity transmittance
of the medium, any Mueller matrix can be represented by means of a pair of characteristic ellipsoids [
12]. Since such ellipsoids are not totally independent, the formulation of a general synthesizer of Mueller matrices based on them cannot be performed in a simple and straightforward manner.
Furthermore, a general algebraic synthesizer of Mueller matrices has been developed [
13] by using the normal form of a Mueller matrix [
14,
15,
16,
17,
18,
19,
20] and tuning the indices of polarimetric purity
[
21] of the central canonical type-I and type-II depolarizers [
19,
20], which start with their maximal values
(
nondepolarizing, or
pure, Mueller matrix) and decrease, in a consistent manner
, so that any Mueller matrix can be constructed through this procedure. The problem of the synthesis of a general depolarizing Mueller matrix has also been studied by Cloude [
22], who developed a parameterization that allows for modeling any depolarizing Mueller matrix from a pure one by considering all possible ways in which that the system can depolarize light. Both the above-mentioned methods are essentially algebraic and do not have a direct geometric representation.
As shown by us in a previous paper [
23], the synthesis of Mueller matrices with zero diattenuation and polarizance (hereafter called
nonenpolarizing) can easily be performed as a convex sum of
r Mueller matrices whose associated coherency vectors are independent and belong to the image subspace of the coherency matrix
C associated with
M, with
. Nevertheless, the general case of Mueller matrices exhibiting nonzero diattenuation or polarizance is more involved.
In this work, an alternative algebraic and geometric universal synthesizer of Mueller matrices is presented, which is mainly based on a specific serial-parallel composition procedure together with the geometric features of the enpolarizing ellipsoid defined from the diattenuation and polarizance properties of the Mueller matrix to be synthesized. The inverse problem of the arbitrary decomposition of a Mueller matrix into a convex sum of pure ones is particularized to the structured decomposition, where the enpolarizing properties are concentrated in one or two parallel components.
The approach presented allows for interpreting the physical information contained in any Mueller matrix M in terms of that of up to four simple nondepolarizing components, namely two diattenuators, whose combined enpolarizing features completely encompass those of M, and up to two additional retarders (which have a particularly simple mathematical representation by means of orthogonal matrices). The enpolarizing properties are intimately coupled to depolarizing ones and admit their geometric representation by means of the enpolarizing ellipsoid.
Many experimental samples correspond in practice to the particular case of a two-component structure, which is encoded in the corresponding enpolarizing ellipsoid without the necessity of considering additional retarding components.
To perform a general synthesizer of Mueller matrices, the ratios between the correlative components of the polarizance and diattenuation vectors appear as the starting parameters that can be tuned with the only restriction to satisfy the symmetry and geometric properties of the enpolarizing ellipsoid. Then, the remaining parameters necessary to build a generic Mueller matrix can be chosen in a simple manner.
The contents of this paper are organized as follows:
Section 2 contains a summary of the numerous concepts and notations that are necessary to make the required developments in further sections, and that constitutes a brief review on the main topics of Mueller algebra;
Section 3 is devoted to describe the structured decomposition applicable to any depolarizing Mueller matrix; the case of two-component Mueller matrices is dealt with in
Section 4, where the concept of enpolarizing ellipsoid is introduced; the universal procedure for synthesizing Mueller matrices is described in
Section 5, and
Section 6 and
Section 7 are dedicated to the discussion and conclusions, respectively.
2. Theoretical Background
Linear polarimetric interactions refer to the change of the state of polarization of light by the action of media and are represented mathematically by the transformation
of the Stokes vector
s of the incident light beam into the Stokes vector
of the emerging beam, where
M is the Mueller matrix. When
M transforms any totally polarized state
s into a totally polarized
,
M is said to be
pure (also
nondepolarizing or
Mueller-Jones matrix) and, wherever appropriate to distinguish it from the general depolarizing Mueller matrices, it is denoted as
. For many purposes, it is useful to express
M (pure or not) in the partitioned form [
24,
25]
where the superscript
T indicates transpose,
is the
mean intensity coefficient (MIC) (viz. the ratio between the emerging and incident intensities for incident unpolarized light), while
D and
P are the diattenuation and polarizance vectors, whose magnitudes
D and
P are the
diattenuation and
polarizance, respectively.
A measure of the closeness of
M to a pure Mueller matrix is given by the
degree of polarimetric purity (or
depolarization index [
26]) defined as
where
is the
degree of spherical purity, defined as [
27,
28]
varies from
for a perfect depolarizer represented by
, which exhibits maximum polarimetric randomness, up to
, which is genuine of pure states. Concerning
, it is limited to
, with
for depolarizing media with
, and the maximum
is exclusively achieved by pure retarders (
,
). Since diattenuation and polarizance have a common nature [
27,
28,
29] it is sometimes useful to consider the
degree of polarizance defined as
Media with nonzero degree of polarizance are called
enpolarizing, because they have the ability to increase the degree of polarization of certain incident polarized light beams. (recall that the concepts of diattenuation and polarizance should be interchanged when the directions of the incident and emerging light beams are interchanged [
30]).
The difference between the magnitudes
D and
P of vectors
D and
P play an important role in the structured decomposition described in
Section 3, so that it is useful to define the
main enpolarizing vector Q of
M as
when
and
when
, so that the magnitude of
Q is
.
In the case of pure Mueller matrices
, they can always be expressed as [
31]
Pure Mueller matrices always satisfy
[
32]. When
, then
is usually denoted as
and corresponds to a
normal diattenuator [
33,
34] (or
homogeneous diattenuator [
35]), while
(i.e., zero diattenuation-polarizance and
) is characteristic of
retarders, which are denoted as
[
30].
For any
M, the Mueller matrix
corresponding to the polarimetric interaction when the incident and emerging electromagnetic waves are interchanged is given by
, with
[
36,
37]. Note that even though
X is not a Mueller matrix (it does not satisfy the covariance conditions) both
and
are Mueller matrices insofar as
M is a Mueller matrix [
38,
39].
Leaving aside experimental errors in measured Mueller matrices, the characteristic conditions for a real 4 × 4 matrix M to be a Mueller matrix are given by the combination of
- (a)
Covariance conditions [
40]:
, where
are the eigenvalues of the associated (Hermitian) coherency matrix
C(
M), whose elements
are defined as [
41]
and, conversely,
where * stands for complex conjugate.
- (b)
Passivity condition:
, with
[
39,
42].
When passivity constraints are not considered (as for instance in relative polarimetry, where
M is measured up to a positive scale factor) it is common to represent all the equivalence class of Mueller matrices proportional to
M by means of
. Nevertheless,
only satisfies the passivity condition in the particular case that
, and the less restrictive passive representative of
M is the
passive form of
M given by [
42]
whose MIC
is the largest one compatible with passivity condition.
The structure of polarimetric purity-randomness of
M is intrinsically related to the normalized eigenvalues
of
C (taken so as to satisfy
), and a complete quantitative description of the polarimetric purity of the medium requires considering the three
indices of polarimetric purity (IPP), defined as [
21]
which, together with
P and
D, provide complete information on the depolarizing properties of
M in terms of invariant quantities under reversible transformations (i.e., dual-retarder transformation, see below) [
28,
43]. The IPP satisfy the nested inequalities
, so that their values run through different physical situations from those of pure Mueller matrices
, down to
for perfect depolarizers [
21].
Conversely, the
components of purity (CP) [
27,
28], namely
D,
P and
contain full information on the sources of polarimetric purity (diattenuation, polarizance and spherical purity), which is complementary to that provided by the IPP. Thus, since
can be calculated either from the IPP or from the CP through the relations [
27]
can be calculated from the set of five parameters that constitute a minimum set of independent scalar descriptors fully characterizing the quantitative and qualitative depolarizing invariant properties of the medium represented by M.
The Mueller matrix M representing the serial action of a cascade of polarizing devices with Mueller matrices is given by their matrix product (serial composition), while the Mueller matrix of a parallel composition of devices which exhibit respective relative cross sections with respect to the total area covered by the incident beam on the sample is given by the convex sum , .
Among the serial decompositions of a Mueller matrix
M, the
dual-retarder transformations [
43] are defined as
,
and
being the Mueller matrices of respective retarders (in general elliptical), and can be expressed as
Dual-retarder transformations are called reversible because, unlike what happens with serial transformations including enpolarizing media, they do not involve either loss of intensity (which can never be recovered by the action of natural passive media), or reduction of the degree of polarization (which cannot be recovered by the action of nonenpolarizing media).
Matrices obtained through dual-retarder transformations of M are called invariant-equivalent to M because the depolarizing and enpolarizing properties of M are invariant under such transformations.
Consider now the following
modified singular value decomposition of the 3 × 3 submatrix
m, of
M
where
are the singular values of
m, taken in decreasing order, so that the so-called
arrow decomposition of
M is defined as [
27,
29]
where the Mueller matrix
is the so-called
arrow form of
M [
29]. From its very definition,
has six zero elements (namely the off-diagonal elements of
) and its main virtue among other dual-retarder transformations, is that it is free of retardance information, which is fully contained in the entrance and exit retarders represented by
and
respectively [
28]. Therefore,
contains all invariant information on diattenuation, polarizance and depolarizing properties in a particularly simple and condensed manner, and the following ten independent physical quantities are invariant under the transformation from
M to
[
43]
or, equivalently, the set of six independent physical invariants
, together with the two pairs of orientation angles
and
of the diattenuation and polarizance vectors,
and
, of
, respectively. The diattenuation and polarizance vectors of
M are recovered from those of
through the respective rotations (in the Poincaré sphere representation)
and
, which are directly determined from the entrance and exit retarders
and
of
M.
Obviously, other important invariant parameters like PP, PS and PΔ can be derived from the above-mentioned sets. In particular, the degree of spherical purity is just determined by the singular values of m, .
In the special case where
, the arrow form of
M corresponds to an
intrinsic depolarizer (or
diagonal depolarizer)
, which is free from both enpolarizing (dichroism) and retarding (birefringence) anisotropies [
43].
Regarding parallel decompositions of
M into pure components, the most general formulation is given by the so-called arbitrary decomposition [
1,
44]
where
is an arbitrary set of 4-dimensional independent complex unit vectors belonging to the image subspace of
and
is the pseudoinverse of
C defined as
,
being the diagonal matrix whose
r first diagonal elements are
(i.e., the inverses of the nonzero eigenvalues of
C) and the last
elements are zero.
Note that the rank
r of
is just the number of pure components of the arbitrary decomposition of
M. When
(i.e.,
) a single coherency vector
determines the corresponding pure Mueller matrix
as well as its associated pure coherency matrix
(where ⊗ indicates the Kronecker product and the dagger stands for conjugate transpose). The expressions for the elements
of
in terms of the associated coherency vector
are given by [
41]
Conversely, the elements
can be expressed as follows in terms of the associated pure Mueller matrix
[
41]
where
φ is an arbitrary phase without physical significance.
The coherency vectors associated with retarders will be used in further analyses and have the general form [
41]
where
γ is an arbitrary phase without physical significance.
3. Structured Decomposition of a Mueller Matrix
It has been demonstrated [
23,
42] that, among the infinite possible arbitrary decompositions of any given Mueller matrix
M, it is always possible to perform the
structured decomposition described below, which has two alternative forms depending on whether the diattenuation equals the polarizance or not, and can be written as follows in terms of the passive form
of
M.
- (a)
- (b)
P ≠
D
where
and
represent passive forms of respective pure Mueller matrices with nonzero diattenuation, while
represent retarders (hence, pure media with zero diattenuation-polarizance).
In case (a), all enpolarizing properties are located in , whose diattenuation and polarizance vectors are proportional to those of , respectively, and the remaining pure components are retarders. In case (b), the components and have nonzero diattenuation, with , (the double vertical bar means that vectors on both sides are parallel, with the same direction); while the remaining pure components are retarders.
To describe the procedure to apply the structured decomposition, let us first consider depolarizing Mueller matrices satisfying , for which the structured decomposition of M takes the form shown in Equation (19) and can be performed through the following steps:
- (1)
Take vectors
D and
P of
M as well as any proper orthogonal matrix
satisfying
; then
is built as (see Equation (5))
- (2)
By means of Equation (17), calculate the coherency vector associated with
- (3)
Calculate
and take
arbitrary independent unit coherency vectors of the form
- (4)
By means of Equation (16) (whit ), calculate the Mueller matrices of the retarders associated with .
- (5)
Through Equation (15), calculate the coefficients corresponding to and in the structured decomposition of in Equation (19).
- (6)
Finally, since any passive Mueller matrix
M can be expressed as
with
, the structured decomposition of
M is obtained as
The application of the structured decomposition of M to the more general case where requires a more involved analysis whose steps are the following:
- (1)
Take D and P of M and determine the main enpolarizing vector and its magnitude , so that if , and if .
- (2)
Calculate the passive form of M as , with , so that with .
- (3a)
If
, take an arbitrary pair of mutually independent coherency vectors,
and
, of the form (18) and calculate their associated Mueller matrices of the retarders
and
; calculate their weights,
and
, in the structured decomposition (20) of
by means of Equation (15), and perform the polarimetric subtraction [
45]
; go to step 4.
- (3b)
If , take an arbitrary coherency vector of the form (18) belonging to the image subspace of and calculate its associated Mueller matrix (retarder); calculate the weight of in the structured decomposition (20) of by means of Equation (15), and then perform the polarimetric subtraction ; go to step 4.
- (3c)
If , set and go to step 4.
- (4)
Calculate the enpolarizing components
and
of
as well as their respective weights,
and
through the procedure described in ([
42], Section 9). Such procedure consists of the following steps:
- (4.1)
Apply a dual-retarder transformation that converts to a tridiagonal one .
- (4.2)
Raise the equations obtained from
, where the coherency vector
is set with the form
,
c and
being real parameters whose values are taken in accordance with the four corresponding parametric equations
,
,
, and
, which can be solved as indicated in [
42]; this ensures that
belongs to the image subspace of
and therefore it can be considered as the coherency vector of a physically realizable parallel component of
.
- (4.3)
Through Equation (16), calculate the pure Mueller matrix associated with the obtained coherency vector and take its passive form .
- (4.4)
Through Equation (15), calculate the weight of as a parallel component of .
- (4.5)
Perform the polarimetric subtraction , so that by setting , the parallel decomposition is completed.
- (4.6)
Retrieve by means of the dual-retarder transformation , so that, , where and .
- (5)
Set
- (6)
Obtain the structured decomposition of
as
or, by considering any MIC
of
M compatible with passivity, the maximal MIC
used above may be replaced by
and the parallel decomposition of
M can be performed as
Besides the enpolarizing properties are concentrated in one or two components, a peculiarity of the structured decomposition is that when
(
) the diattenuation (polarizance) vectors of
M,
and
are parallel with the same direction [
42]. It should be noted that the structured decomposition is not unique, but corresponds to a family of solutions.
4. General Structure of a Two-Component Mueller Matrix. The Enpolarizing Ellipsoid
The interest of studying two-component Mueller matrices is twofold; firstly, many experimental samples correspond in practice to this category [
46], and, conversely, a two-component enpolarizing equivalent constituent appears as the core of the structured decomposition and allows for establishing the general synthesis procedure in
Section 5.
Consider the arrow form
of a depolarizing Mueller matrix
M satisfying
[with
] and
. In accordance with de definition of
in Equation (26), the following notations and conventions will be used
For the sake of conciseness, is considered to be the case (otherwise, when , the transpose matrix instead should be used in the subsequent developments).
Condition
(i.e.,
and
) is equivalent to state that the four third-order principal minors are zero valued [in addition to
]. Furthermore, at least one second-order principal minor is necessarily nonzero. All of these conditions result in the exigency that the end point of the diattenuation vector
should be located in the following
enpolarizing ellipsoid whose semiaxes
are defined in terms of the ratios
Where, necessarily
, while, in addition, the ordering
established for the diagonal elements of
implies that
, which in turn implies that
. Also, if
for some component ‘
i’, then necessarily
. Therefore, the arrow form
of a Mueller matrix
M with
exhibits a peculiar and very strict hierarchy of the involved physical parameters.
The diagonal elements of
are linked to the ratios
as
Moreover, in addition to condition (27), for a given value of
the end point of the diattenuation vector
is located on the sphere defined by
so that all physically realizable configurations for
are given by the points belonging to the intersection of the indicated sphere and the enpolarizing ellipsoid (
Figure 1).
Thus, for any particular set of ratios
, the semiaxes
are determined through Equation (27) and therefore the feasible values of
D are limited by
, while the azimuth and ellipticity angles
(with
) and
(with
) of
are mutually linked through
Once a set of parameters
has been chosen, the intersection between the enpolarizing ellipsoid and the sphere of radius
D varies depending on the value taken for
D (with
). The smaller feasible value for
D is
, for which the intersection is given by two single points when
, by an entire circle when
, or by the entire sphere when
. A sequence of five representative configurations is shown in
Figure 1, where, in order to make a simple and clear description, the three semiaxes are taken with different values,
(the remaining cases of ellipsoids of revolution can be analyzed straightforwardly). The symmetry axes of the enpolarizing ellipsoid determine the directions
XYZ along which lie the semiaxes
,
and
, respectively. The feasible curves start with the said pair of points corresponding to
D =
q3 (such points are antipodal and located on axis
Z,
Figure 1a), and as
D increases in the interval
, the intersection become pairs of closed curves on the surface of the enpolarizing ellipsoid, which are symmetrically located with respect to the plane
XY (
Figure 1b). When
, the curves become a pair of circles that intersect at points located symmetrically on both sides of axis
Y (
Figure 1c). As
D exceeds
and increases, the intersection is given by two closed curves symmetrically located with respect to the plane
YZ (
Figure 1d). In the limiting case
, the intersection is given by two antipodal points located in axis
X (
Figure 1e).
An animated representation of the intersection of the sphere of radius
D and the enpolarizing ellipsoid is shown in
Supplementary Materials.
6. Discussion
The procedure developed allows for synthesizing any Mueller matrix in a systematic manner. The case where the synthesized M lacks diattenuation and polarizance (nonenpolarizing Mueller matrix) is
particularly simple and does not require the use of the concept of enpolarizing ellipsoid. In general, this kind of matrices is equivalent to parallel combinations of retarders, and can also be achieved by parallel
combinations of pure media whose resulting vectors D and P are zero, and therefore PS = PΔ, so that all the polarimetric purity comes from the closeness of M to a diagonal pure Mueller matrix.
Depolarizing Mueller matrices with are synthesized through the parallel composition of a pure medium whose Mueller matrix has the form in Equation (5) that encompasses all enpolarizing properties, and a number of up to three retarders whose coherency vectors are mutually independent. Any system with is polarimetrically indistinguishable of a system where all enpolarizing power is exhibited by a single pure component.
Depolarizing Mueller matrices with P ≠ D are synthesized through two consecutive stages.
The first stage consists of generating a two-component enpolarizing Mueller matrix with the desired arbitrary properties. The arrow form of a Mueller matrix has very peculiar properties regarding the hierarchy and structure of the enpolarizing information encoded in the components of the diattenuation and polarizance vectors, and allows for defining the associated enpolarizing ellipsoid. These features are exploited in such a manner that the mathematical conditions to obtain a matrix that satisfies the covariance and passivity criteria to be a Mueller matrix are achieved in a direct and natural manner through the use of the enpolarizing ellipsoid, whose curves of intersection with the sphere of radius determine the feasible region of solutions compatible with the prescribed enpolarizing parameters. A general two-component Mueller matrix is then obtained through a reversible dual-retarder transformation of the previously synthesized arrow form, so that the overall diattenuating and polarizing properties of the medium as well as other invariant properties like the indices of polarimetric purity, the degree of polarimetric purity and the degree of spherical purity are preserved.
It is remarkable that two-component Mueller matrices appear in many physical situations of interest, including scattering by particles, as, for instance, in aerosols or hydrosols. Therefore, the general synthesis of two-component Mueller matrices constitutes, is by itself, one of the main results of this work.
The second stage consists of adding the required number of one or two independent retarders until the prescribed number r of components of the synthesized Mueller matrix is completed.
7. Conclusions
The problem of designing a universal synthesizer, or generator, of depolarizing Mueller matrices has been addressed by taking advantage of a number of concepts involved in polarization theory, such as the covariance and passivity conditions characterizing Mueller matrices, the serial and parallel compositions of different kinds of pure media, the coherency matrix associated with a Mueller matrix, the arrow form of a Mueller matrix, etc., together with some original approaches presented in this work such as the structured composition–decomposition of a Mueller matrix and the enpolarizing ellipsoid. In fact, the nature of the developments required involves most of the notions related to Mueller matrices algebra.
Mueller matrices represent the light–matter linear interaction regarding polarization and can be classified into pure (nondepolarizing, ) and depolarizing (). Furthermore, both pure and depolarizing media may exhibit enpolarizing properties and the general synthesis of Mueller matrices can be performed in a specific manner through a series of different physical prescriptions that complete the entire space of Mueller matrices, namely:
Pure. As it is well-known, pure media are characterized by matrices of the form in Equation (5).
Two-component, withP = D = 0. They are generated by the parallel composition (convex sum) of pairs of arbitrary Mueller matrices of retarders, and (with ).
Two-component, withP = D ≠ 0. They are generated by the parallel composition of the Mueller matrices of an enpolarizing pure medium () and a retarder ().
Two-component, withP ≠ D. They are generated by the parallel composition of two Mueller matrices ( and ) of enpolarizing pure media, respectively.
Three or four-component. They are generated by the parallel composition of a two-component Mueller matrix and one or two retarders. As described in
Section 5, the added retarders should be independent in the sense that coherency vectors of all components should constitute a basis (in general, nonorthogonal) in the image subspace of the coherency matrix associated with the generated Mueller matrix.
The presented synthesis procedure is directly related to that of the structured decomposition of a Mueller matrix, which is dealt with in
Section 4, and provides more insight into the theory and methods for the treatment and physical interpretation of Mueller matrices.