In
functional analysis
Functional analysis is a branch of mathematical analysis, the core of which is formed by the study of vector spaces endowed with some kind of limit-related structure (for example, Inner product space#Definition, inner product, Norm (mathematics ...
, a branch of
mathematics
Mathematics is a field of study that discovers and organizes methods, Mathematical theory, theories and theorems that are developed and Mathematical proof, proved for the needs of empirical sciences and mathematics itself. There are many ar ...
, it is sometimes possible to generalize the notion of the
determinant
In mathematics, the determinant is a Scalar (mathematics), scalar-valued function (mathematics), function of the entries of a square matrix. The determinant of a matrix is commonly denoted , , or . Its value characterizes some properties of the ...
of a
square matrix of finite order (representing a
linear transformation
In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that pr ...
from a finite-dimensional
vector space
In mathematics and physics, a vector space (also called a linear space) is a set (mathematics), set whose elements, often called vector (mathematics and physics), ''vectors'', can be added together and multiplied ("scaled") by numbers called sc ...
to itself) to the infinite-dimensional case of a
linear operator
In mathematics, and more specifically in linear algebra, a linear map (also called a linear mapping, linear transformation, vector space homomorphism, or in some contexts linear function) is a mapping V \to W between two vector spaces that pr ...
''S'' mapping a
function space
In mathematics, a function space is a set of functions between two fixed sets. Often, the domain and/or codomain will have additional structure which is inherited by the function space. For example, the set of functions from any set into a ve ...
''V'' to itself. The corresponding quantity det(''S'') is called the functional determinant of ''S''.
There are several formulas for the functional determinant. They are all based on the fact that the determinant of a finite
matrix
Matrix (: matrices or matrixes) or MATRIX may refer to:
Science and mathematics
* Matrix (mathematics), a rectangular array of numbers, symbols or expressions
* Matrix (logic), part of a formula in prenex normal form
* Matrix (biology), the m ...
is equal to the product of the
eigenvalue
In linear algebra, an eigenvector ( ) or characteristic vector is a vector that has its direction unchanged (or reversed) by a given linear transformation. More precisely, an eigenvector \mathbf v of a linear transformation T is scaled by a ...
s of the matrix. A mathematically rigorous definition is via the
zeta function of the operator,
:
where tr stands for the
functional trace: the determinant is then defined by
:
where the zeta function in the point ''s'' = 0 is defined by
analytic continuation
In complex analysis, a branch of mathematics, analytic continuation is a technique to extend the domain of definition of a given analytic function. Analytic continuation often succeeds in defining further values of a function, for example in a ne ...
. Another possible generalization, often used by physicists when using the
Feynman path integral formalism in
quantum field theory
In theoretical physics, quantum field theory (QFT) is a theoretical framework that combines Field theory (physics), field theory and the principle of relativity with ideas behind quantum mechanics. QFT is used in particle physics to construct phy ...
(QFT), uses a
functional integration:
:
This path integral is only well defined up to some divergent multiplicative constant. To give it a rigorous meaning it must be divided by another functional determinant, thus effectively cancelling the problematic 'constants'.
These are now, ostensibly, two different definitions for the functional determinant, one coming from quantum field theory and one coming from
spectral theory
In mathematics, spectral theory is an inclusive term for theories extending the eigenvector and eigenvalue theory of a single square matrix to a much broader theory of the structure of operator (mathematics), operators in a variety of mathematical ...
. Each involves some kind of
regularization: in the definition popular in physics, two determinants can only be compared with one another; in mathematics, the zeta function was used. have shown that the results obtained by comparing two functional determinants in the QFT formalism agree with the results obtained by the zeta functional determinant.
Defining formulae
Path integral version
For a positive
self-adjoint operator ''S'' on a finite-dimensional
Euclidean space
Euclidean space is the fundamental space of geometry, intended to represent physical space. Originally, in Euclid's ''Elements'', it was the three-dimensional space of Euclidean geometry, but in modern mathematics there are ''Euclidean spaces ...
''V'', the formula
:
holds.
The problem is to find a way to make sense of the determinant of an operator ''S'' on an infinite dimensional function space. One approach, favored in quantum field theory, in which the function space consists of continuous paths on a closed interval, is to formally attempt to calculate the integral
:
where ''V'' is the function space and
the
L2 inner product, and
the
Wiener measure
In mathematics, the Wiener process (or Brownian motion, due to its historical connection with the physical process of the same name) is a real-valued continuous-time stochastic process discovered by Norbert Wiener. It is one of the best know ...
. The basic assumption on ''S'' is that it should be self-adjoint, and have discrete
spectrum
A spectrum (: spectra or spectrums) is a set of related ideas, objects, or properties whose features overlap such that they blend to form a continuum. The word ''spectrum'' was first used scientifically in optics to describe the rainbow of co ...
λ
1, λ
2, λ
3, ... with a corresponding set of
eigenfunctions
In mathematics, an eigenfunction of a linear map, linear operator ''D'' defined on some function space is any non-zero function (mathematics), function f in that space that, when acted upon by ''D'', is only multiplied by some scaling factor calle ...
''f''
1, ''f''
2, ''f''
3, ... which are complete in
L2 (as would, for example, be the case for the second derivative operator on a compact interval Ω). This roughly means all functions φ can be written as
linear combination
In mathematics, a linear combination or superposition is an Expression (mathematics), expression constructed from a Set (mathematics), set of terms by multiplying each term by a constant and adding the results (e.g. a linear combination of ''x'' a ...
s of the functions ''f''
''i'':
:
Hence the inner product in the exponential can be written as
:
In the basis of the functions ''f''
''i'', the functional integration reduces to an integration over all basis functions. Formally, assuming our intuition from the finite dimensional case carries over into the infinite dimensional setting, the measure should then be equal to
:
This makes the functional integral a product of
Gaussian integral
The Gaussian integral, also known as the Euler–Poisson integral, is the integral of the Gaussian function f(x) = e^ over the entire real line. Named after the German mathematician Carl Friedrich Gauss, the integral is
\int_^\infty e^\,dx = \s ...
s:
:
The integrals can then be evaluated, giving
:
where ''N'' is an infinite constant that needs to be dealt with by some regularization procedure. The product of all eigenvalues is equal to the determinant for finite-dimensional spaces, and we formally define this to be the case in our infinite-dimensional case also. This results in the formula
:
If all quantities converge in an appropriate sense, then the functional determinant can be described as a classical limit (Watson and Whittaker). Otherwise, it is necessary to perform some kind of
regularization. The most popular of which for computing functional determinants is the
zeta function regularization
In mathematics and theoretical physics, zeta function regularization is a type of regularization (physics), regularization or summability method that assigns finite values to Divergent series, divergent sums or products, and in particular can be ...
. For instance, this allows for the computation of the determinant of the Laplace and Dirac operators on a
Riemannian manifold
In differential geometry, a Riemannian manifold is a geometric space on which many geometric notions such as distance, angles, length, volume, and curvature are defined. Euclidean space, the N-sphere, n-sphere, hyperbolic space, and smooth surf ...
, using the
Minakshisundaram–Pleijel zeta function. Otherwise, it is also possible to consider the quotient of two determinants, making the divergent constants cancel.
Zeta function version
Let ''S'' be an elliptic
differential operator
In mathematics, a differential operator is an operator defined as a function of the differentiation operator. It is helpful, as a matter of notation first, to consider differentiation as an abstract operation that accepts a function and retur ...
with smooth coefficients which is positive on functions of
compact support
In mathematics, the support of a real-valued function f is the subset of the function domain of elements that are not mapped to zero. If the domain of f is a topological space, then the support of f is instead defined as the smallest closed ...
. That is, there exists a constant ''c'' > 0 such that
:
for all compactly supported smooth functions φ. Then ''S'' has a self-adjoint extension to an operator on ''L''
2 with lower bound ''c''. The eigenvalues of ''S'' can be arranged in a sequence
:
Then the zeta function of ''S'' is defined by the series:
:
It is known that ζ
''S'' has a
meromorphic extension to the entire plane. Moreover, although one can define the zeta function in more general situations, the zeta function of an elliptic differential operator (or pseudodifferential operator) is
regular at
Formally, differentiating this series term-by-term gives
:
and so if the functional determinant is well-defined, then it should be given by
:
Since the analytic continuation of the zeta function is regular at zero, this can be rigorously adopted as a definition of the determinant.
This kind of Zeta-regularized functional determinant also appears when evaluating sums of the form . Integration over ''a'' gives
which can just be considered as the logarithm of the determinant for a
Harmonic oscillator. This last value is just equal to
, where
is the
Hurwitz zeta function.
Practical example
The infinite potential well
We will compute the determinant of the following operator describing the motion of a
quantum mechanical particle in an
infinite potential well:
:
where ''A'' is the depth of the potential and ''L'' is the length of the well. We will compute this determinant by diagonalizing the operator and multiplying the
eigenvalue
In linear algebra, an eigenvector ( ) or characteristic vector is a vector that has its direction unchanged (or reversed) by a given linear transformation. More precisely, an eigenvector \mathbf v of a linear transformation T is scaled by a ...
s. So as not to have to bother with the uninteresting divergent constant, we will compute the quotient between the determinants of the operator with depth ''A'' and the operator with depth ''A'' = 0. The eigenvalues of this potential are equal to
:
This means that
:
Now we can use
Euler's
infinite product representation for the
sine function:
:
from which a similar formula for the
hyperbolic sine function can be derived:
:
Applying this, we find that
:
Another way for computing the functional determinant
For one-dimensional potentials, a short-cut yielding the functional determinant exists.
[S. Coleman, ''The uses of instantons'', Int. School of Subnuclear Physics, (Erice, 1977)] It is based on consideration of the following expression:
:
where ''m'' is a
complex
Complex commonly refers to:
* Complexity, the behaviour of a system whose components interact in multiple ways so possible interactions are difficult to describe
** Complex system, a system composed of many components which may interact with each ...
constant. This expression is a
meromorphic function of ''m'', having zeros when ''m'' equals an eigenvalue of the operator with potential ''V''
1(''x'') and a pole when ''m'' is an eigenvalue of the operator with potential ''V''
2(''x''). We now consider the functions ''ψ'' and ''ψ'' with
:
obeying the boundary conditions
:
If we construct the function
:
which is also a meromorphic function of ''m'', we see that it has exactly the same poles and zeroes as the quotient of determinants we are trying to compute: if ''m'' is an eigenvalue of the operator number one, then will be an eigenfunction thereof, meaning ; and analogously for the denominator. By
Liouville's theorem, two meromorphic functions with the same zeros and poles must be proportional to one another. In our case, the proportionality constant turns out to be one, and we get
:
for all values of ''m''. For ''m'' = 0 we get
:
The infinite potential well revisited
The problem in the previous section can be solved more easily with this formalism. The functions ''ψ''(''x'') obey
:
yielding the following solutions:
:
This gives the final expression
:
See also
*
Abstract Wiener space
*
Berezinian
*
Fredholm determinant
*
Fujikawa method
*
Faddeev–Popov ghost
In physics, Faddeev–Popov ghosts (also called Faddeev–Popov gauge ghosts or Faddeev–Popov ghost fields) are extraneous fields which are introduced into gauge quantum field theories to maintain the consistency of the path integral form ...
Notes
References
*
*
*
*
*
*
*
*{{Citation , last1=Shubin , first1=M. A. , title=Pseudodifferential operators and spectral theory , publisher=
Springer-Verlag
Springer Science+Business Media, commonly known as Springer, is a German multinational publishing company of books, e-books and peer-reviewed journals in science, humanities, technical and medical (STM) publishing.
Originally founded in 1842 in ...
, location=Berlin, New York , series=Springer Series in Soviet Mathematics , isbn=978-3-540-13621-7 , mr=883081 , year=1987
Determinants
Functional analysis