Redheffer Star Product

In mathematics, the Redheffer star product is a binary operation on linear operators that arises in connection to solving coupled systems of linear equations. It was introduced by Raymond Redheffer in 1959, and has subsequently been widely adopted in computational methods for scattering matrices. Given two scattering matrices from different linear scatterers, the Redheffer star product yields the combined scattering matrix produced when some or all of the output channels of one scatterer are connected to inputs of another scatterer.

Definition

Suppose $A, B$ are the block matrices
$A = \begin A_ & A_ \\ A_ & A_ \end$
and
$B = \begin B_ & B_ \\ B_ & B_ \end$,
whose blocks $A_, B_$ have the same shape when
$ij = kl$.
The Redheffer star product is then defined by:

$A \star B = \begin B_ (I - A_ B_)^ A_ & B_ + B_ (I - A_ B_)^ A_ B_ \\ A_ + A_ (I - B_ A_)^ B_ A_ & A_ (I - B_ A_)^ B_ \end$
,

assuming that $(I - A_ B_), (I - B_ A_)$ are invertible,
where $I$ is an identity matrix conformable
to $A_ B_$ or $B_ A_$, respectively.
This can be rewritten several ways making use of the so-called
push-through identity
$(I - A B) A = A (I - B A) \iff A (I - B A)^ = (I - A B)^ A$.

Redheffer's definition extends beyond matrices to
linear operators on a Hilbert space $\mathcal H$.

.
By definition, $A_, B_$ are linear endomorphisms of $\mathcal H$,
making $A, B$ linear endomorphisms of $\mathcal H \oplus \mathcal H$,
where $\oplus$ is the direct sum.
However, the star product still makes sense as long as the transformations are compatible,
which is possible when $A \in \mathcal$
and $B \in \mathcal$
so that $A \star B \in \mathcal$.

Properties

Existence

$(I - A_ B_)^$ exists if and only if
$(I - B_ A_)^$ exists.

Thus when either exists, so does the Redheffer star product.

Identity

The star identity is the identity on $\mathcal H \oplus \mathcal H$,
or $\begin I & 0 \\ 0 & I \end$.

Associativity

The star product is associative, provided all of the relevant matrices are defined.

Thus $A \star B \star C = (A \star B) \star C = A \star (B \star C)$.

Adjoint

Provided either side exists, the adjoint of a Redheffer
star product is $(A \star B)^* = B^* \star A^*$.

Inverse

If $B$ is the left matrix inverse of $A$ such that
$BA = I$, $A_$ has a right inverse, and
$A \star B$ exists, then $A \star B = I$.

Similarly, if $B$ is the left matrix inverse of $A$ such
that $BA = I$, $A_$ has a right inverse, and
$B \star A$ exists, then $B \star A = I$.

Also, if $A \star B = I$ and $A_$ has a left inverse
then $BA = I$.

The star inverse equals the matrix inverse and both can be computed with
block inversion as

$\begin A_ & A_ \\ A_ & A_ \end^ = \begin (A_ - A_ A_^ A_)^ & (A_ - A_ A_^ A_)^ \\ (A_ - A_ A_^ A_)^ & (A_ - A_ A_^ A_)^ \end$.

Derivation from a linear system

The star product arises from solving multiple linear systems of equations that share
variables in common.
Often, each linear system models the behavior of one subsystem in a physical process
and by connecting the multiple subsystems into a whole, one can eliminate variables
shared across subsystems in order to obtain the overall linear system.
For instance, let $\_^6$ be elements of a Hilbert space
$\mathcal H$ such that

$\begin x_3 \\ x_6 \end = \begin A_ & A_ \\ A_ & A_ \end \begin x_5 \\ x_4 \end$

and

$\begin x_1 \\ x_4 \end = \begin B_ & B_ \\ B_ & B_ \end \begin x_3 \\ x_2 \end$

giving the following $4$ equations in $6$ variables:

$\begin x_3 &= A_ x_5 + A_ x_4 \\ x_6 &= A_ x_5 + A_ x_4 \\ x_1 &= B_ x_3 + B_ x_2 \\ x_4 &= B_ x_3 + B_ x_2 \end$.

By substituting the first equation into the last we find:

$x_4 = (I - B_A_)^ (B_A_ x_5 + B_ x_2)$.

By substituting the last equation into the first we find:

$x_3 = (I - A_B_)^ (A_ x_5 + A_B_ x_2)$.

Eliminating $x_3, x_4$ by substituting the two preceding equations
into those for $x_1, x_6$ results in the Redheffer star product
being the matrix such that:

$\begin x_1 \\ x_6 \end = (A \star B) \begin x_5 \\ x_2 \end$.

Connection to scattering matrices

Many scattering processes take on a form that motivates a different
convention for the block structure of the linear system of a scattering matrix.
Typically a physical device that performs a linear transformation on inputs, such as
linear dielectric media on electromagnetic waves or in quantum mechanical scattering,
can be encapsulated as a system which interacts with the environment through various
ports, each of which accepts inputs and returns outputs. It is conventional to use a different notation for the Hilbert space, $\mathcal H_i$, whose subscript
labels a port on the device.
Additionally, any element, $c_i^\pm \in \mathcal H_i$, has an additional superscript labeling the direction of travel (where + indicates moving from port i to i+1 and - indicates the reverse).

The equivalent notation for a Redheffer transformation,
$R \in \mathcal$,
used in the previous section is

$\begin c_2^+ \\ c_1^- \end = \begin R_ & R_ \\ R_ & R_ \end \begin c_1^+ \\ c_2^- \end$
.

The action of the S-matrix,
$S \in \mathcal$,
is defined with an additional flip compared to Redheffer's definition:

$\begin c_1^- \\ c_2^+ \end = \begin S_ & S_ \\ S_ & S_ \end \begin c_1^+ \\ c_2^- \end$
,

so
$S = \begin 0 & I \\ I & 0 \end R$
.
Note that for in order for the off-diagonal identity matrices to be defined,
we require $\mathcal$ be the same underlying Hilbert space.
(The subscript does not imply any difference, but is just a label for bookkeeping.)

The star product, $\star_S$,
for two S-matrices, $A, B$, is given by

$A \star_S B = \begin A_ + A_ (I - B_ A_)^ B_ A_ & A_ (I - B_ A_)^ B_ \\ B_ (I - A_ B_)^ A_ & B_ + B_ (I - A_ B_)^ A_ B_ \end$
,

where $A \in \mathcal$
and $B \in \mathcal$,
so $A \star_S B \in \mathcal$.

Properties

These are analogues of the properties of $\star$ for $\star_S$
Most of them follow from the correspondence
$J(A \star B) = (JA) \star_S (JB)$.
$J$, the exchange operator, is also the S-matrix star identity defined below.
For the rest of this section, $A,B,C$ are S-matrices.

Existence

$A \star_S B$ exists when either
$(I - A_ B_)^$
or
$(I - B_ A_)^$
exist.

Identity

The S-matrix star identity, $J$, is
$J = \begin 0 & I \\ I & 0 \end$.
This means $J \star_S S = S \star_S J = S$

Associativity

Associativity of $\star_S$ follows from associativity of $\star$ and of matrix multiplication.

Adjoint

From the correspondence between $\star$ and $\star_S$,
and the adjoint of $\star$, we have that
$(A \star_S B)^* = J (B^* \star_S A^*) J$

Inverse

The matrix $\Sigma$ that is the S-matrix star product inverse of
$S$ in the sense that $\Sigma \star_S S = S \star_S \Sigma = J$
is $JS^J$ where $S^$ is the ordinary matrix inverse
and $J$ is as defined above.

Connection to transfer matrices

Observe that a scattering matrix can be rewritten as a
transfer matrix, $T$, with action
$\begin c_2^+ \\ c_2^- \end = T \begin c_1^+ \\ c_1^- \end$,
where

$T = \begin T_ & T_ \\ T_ & T_ \end = \begin S_ - S_ S_^ S_ & S_ S_^ \\ - S_^ S_ & S_^ \end$
.

Here the subscripts relate the different directions of propagation at each port.
As a result, the star product of scattering matrices

$\begin c_3^+ \\ c_1^- \end = (S^A \star S^B) \begin c_1^+ \\ c_3^- \end$
,

is analogous to the following matrix multiplication of transfer matrices

$\begin c_3^+ \\ c_3^- \end = (T^A T^B) \begin c_1^+ \\ c_1^- \end$
,

where $T^A \in \mathcal$
and $T^B \in \mathcal$,
so $T^A T^B \in \mathcal$.

Generalizations

Redheffer generalized the star product in several ways:

Arbitrary bijections

If there is a bijection $M \leftrightarrow L$ given by
$L = f(M)$ then an associative star product can be defined by:

$A \star B = f^ (f(A) f(B))$.

The particular star product defined by Redheffer above is obtained from:

$f(A) = ((I - A) + (I + A) J)^ ((A - I) + (A + I) J)$

where $J(x, y) = (-x, y)$.

3x3 star product

A star product can also be defined for 3x3 matrices.

Applications to scattering matrices

In physics, the Redheffer star product appears when constructing a total
scattering matrix from two or more subsystems.
If system $A$ has a scattering matrix $S^A$ and system
$B$ has scattering matrix $S^B$, then the combined system
$AB$ has scattering matrix $S^ = S^A \star S^B$.

Transmission line theory

Many physical processes, including radiative transfer, neutron diffusion, circuit theory, and others are described by scattering processes whose formulation depends on the dimension of the process and the representation of the operators.
For probabilistic problems, the scattering equation may appear in a Kolmogorov-type equation.

Electromagnetism

The Redheffer star product can be used to solve for the propagation of electromagnetic fields in stratified, multilayered media. Each layer in the structure has its own scattering matrix and the total structure's scattering matrix can be described as the star product between all of the layers.
A free software program that simulates electromagnetism in layered media is th
Stanford Stratified Structure Solver

Semiconductor interfaces

Kinetic models of consecutive semiconductor interfaces can use a scattering matrix formulation to model the motion of electrons between the semiconductors.

Factorization on graphs

In the analysis of Schrödinger operators on graphs, the scattering matrix of a graph can be obtained as a generalized star product of the scattering matrices corresponding to its subgraphs.

References

{{reflist

Scattering theory
Scattering, absorption and radiative transfer
Hilbert spaces
Matrices
Mathematical physics