Abstract
We consider the local value of an operator for a given position or momentum and, more generally on the value of another arbitrary observable. We develop a general approach that is based on breaking up as where is the operator whose local value we seek and is the position wave function. We show that the real part is related to the conditional value for a given position and the imaginary part is related to the standard deviation of the conditional value. We show that the uncertainty of an operator can be expressed in two parts that depend on the real and imaginary parts. In the case of the position representation, the expression for the uncertainty of an operator shows that there are two fundamental contributions, one due to the amplitude of the wave function and the other due to the phase. We obtain the equation of motion for the conditional values, and in particular, we generalize the Ehrenfest theorem by deriving a local version of the theorem. We give a number of examples, including the local value of momentum, kinetic energy, and Hamiltonian. We also discuss other approaches for obtaining a conditional value in quantum mechanics including using quasi-probability distributions and the characteristic function approach, among others.
1. Introduction
The concept of conditional values, sometimes called local values, is fundamental in any classical probability theory that involves multiple variables. For example, suppose we have a nonuniform gas characterized by a joint probability distribution of position and velocity. One can ask for the average velocity at a given position or the average kinetic energy at a given position. In quantum mechanics, the concept of local value runs into a fundamental difficulty in that, in general, two physical quantities, represented by operators, do not commute. Nonetheless, the concept of local values has arisen in numerous areas and has been used with considerable profit. Undoubtedly, the most well-known example of a local quantity is quantum mechanical current [,,,]. Also, the concept of local kinetic energy has been used in many studies regarding atoms in molecules [,,,,,]. It has also been used to develop quantum kinetic equations [,].
We shall discuss various approaches that have been developed and present a unified approach by developing a classical and quantum expression for the standard deviation of a physical quantity and comparing the two. Also, the issues we address here are analogous to those in the field known as time-frequency analysis [,,,,,,,,]. In particular, for example, instantaneous frequency is mathematically analogous to quantum mechanical current. Much work has been conducted in that field, which is germane to the topics considered here.
Notation
Operators are denoted by boldface letters and will be assumed to be Hermitian. All integrals go from to unless otherwise noted. For classical quantities, global expectation values will generally be denoted by and conditional expectation by , meaning the conditional expectation value of a for a given x. Similarly, for the global standard deviation, we use and for the conditional standard deviation, we use
For the case of operators, the global expectation value, as usually defined, is denoted by and the conditional expectation, which will be developed in this paper, by . The standard deviation of an operator, as usually defined in quantum mechanics, is denoted by , defined in the usual way:
For the conditional standard deviation, we use the notation .
Commutators and anticommutators are denoted by the usual notation:
and
respectively.
2. Local Values in Classical Physics
In this section, we develop the general ideas of conditional values and condition probability densities in standard probability theory. To keep things concrete, we develop the concepts for the case of an arbitrary variable, and position, x. We take the joint probability distribution to be of position x, and random variable a. The conditional probability distribution of a for a given x is [,,,]
where is the marginal of x
The global average of a is
and the conditional value of a for a fixed x is given by
The relation between local and global averages is
Now consider the relation between the global standard deviation,
and the conditional standard deviation, , given by
Unlike Equation (8), it is not the case that the global standard deviation is the average of the conditional standard deviation, that is,
The relation is []
Equation (12) is proven in Appendix A.
We point out that x in Equation (12) does not have to be position but can be any other random variable, say b, and hence, we can write
3. Quantum Local Value at a Given Position
We now show that one can find a quantum analog to Equations (8) and (12); this will allow us to define local values and their standard deviation in quantum mechanics []. In quantum mechanics, observables are represented by operators. The global average, and the global standard deviation, are defined, respectively, by
and
In Appendix A, we show that if we break up into its real and imaginary parts
then one may write the global quantum mechanical uncertainty, that is, the standard deviation, as []
Comparing Equation (12) with Equation (17),
We take these to be the local values in position. Consistent with the concept of conditional value, we have
which corresponds to the classical idea, Equation (8).
Quantum Local Values at a Given Momentum
If is the momentum wave function
then it follows that the standard deviation, is given by
where now the operator A is written in the momentum representation. Comparing Equation (22) with Equation (13), we see that we may define the local value of for a given momentum and its conditional standard deviation by
and
Similar to Equation (20), we have
4. Local Values for Two Arbitrary Observables
In the above, we considered the local value at a given position and the local value at a given momentum. We now consider the case of two arbitrary variables represented by the operators and . Consider the eigenvalue problem for
where and are the eigenvalues and eigenfunctions, respectively. Any wave function, can be expanded as
with
where is the wave function in the beta representation. The expectation value of is
and the standard deviation is given by
We break up into its real and imaginary parts
then the quantum mechanical standard deviation may be expressed as (Appendix A)
Comparing with Equation (13), we have that the local value of A for a given []
In general, we have that
5. Examples
5.1. Local Momentum
For the operator , we take the momentum operator, ,
We have for Equation (17) that
The first term is real, and the second is purely imaginary; therefore,
Hence, the local value of momentum is
The usual formula for the quantum mechanical current, is obtained by way of
giving
The conditional standard deviation is given by
If we express the wave function in terms of amplitude and phase,
we have that
and hence,
The conditional expectation value of momentum is given by
and the conditional standard deviation by
For the uncertainty of momentum, we have, using Equation (30):
Explicitly,
We note that current is defined at each point in space and of course, there is an intimate connection between current and average momentum [,]. In particular, if the momentum wave function, is
then the average momentum is given by
and also by
This shows that the average momentum can be obtained by its local value and the probability of obtaining it at that point,. This is a special case of Equation (35). These results are similar to the time-frequency case, where one relates instantaneous frequency to the energy density spectrum [,,,,].
5.2. Uncertainty Principle
The local momentum given by Equation (48),
does not, in general, commute with the momentum operator. The commutator of and is
Using the general uncertainty principle between any two operators and [,]
we have that
6. Local Acceleration and Force
Following Landau and Lipchitz [], we define the velocity and acceleration operator by
and
For Hamiltonians of the form
with real potential function, the Heisenberg equation of motion gives the well-known result that
Hence,
giving
The conditional expectation value for acceleration at a given position is therefore
and the conditional force is
where we have taken
Also, we have that
The conditional standard deviation as per Equation (65) is zero
for real potentials. For the global standard deviation of acceleration, we have that
which simplifies to
where
as expected.
7. Local Kinetic Energy
We use the above formulation to define local kinetic energy. We further discuss local kinetic energy and its historical development in Section 10.5.
For convenience, we define the kinetic energy operator, by
Straightforward calculation gives
and therefore,
Therefore, using Equation (18), the conditional average is
and the conditional standard deviation is given by
For the global standard deviation, using Equation (17), we have that
In rectangular coordinates,
Therefore,
and
8. Local Energy and the Quantum Potential
For the Hamiltonian
we have that []
Therefore,
Hence, for the conditional value of energy for a given position, we have
and for the local standard deviations, we have
The last term in Equation (90) is the quantum potential as derived by Bohm [,,,]:
The global standard deviation for the Hamiltonian is, therefore, given by
8.1. Real Wave Functions
For real wave functions, , and hence,
and
The global standard deviation as per Equation (93) is then
8.2. Time-Dependent Wave Function
Writing Schrödinger’s equation as
and using
we developed in the above section the conditional average and standard deviation of by considering the right-hand side of Equation (97). Now, we find expressions for the same quantities using the left-hand side Equation (97). Differentiating Equation (97) with respect to time, we consider in the above the right-hand side of the Schrödinger equation. We now consider the left-hand side.
8.3. Interpretation and Contrast with Bohm Theory
We now contrast our approach with that of standard Bohm theory [,,,,]. First, we point out that if we equate the two expressions Equations (90) and (100) and also Equations (91) and(101), we obtain
These are the basic equations of Bohm theory. In addition, from these equations, one can derive
In Bohm theory, one writes
where is the momentum of a particle. In contrast, we write
which is a probabilistic statement and hence keeps the probabilistic aspect of quantum mechanics. Further, in Bohm theory, one writes Newton’s equation of motion for the particle as
where Q is the quantum potential.
In our case, it arises in the expression for the conditional value of the Hamiltonian
which may be written as
The relation between Bohm theory and quasi-distributions has been investigated [,].
8.4. Local Equation of Motion
Starting with Heisenberg’s equation of motion
and using
we have that
or
Also, we have that the standard deviation of the commutator is given by
8.5. Local Ehrenfest Theorem
Equation (116) may be thought of as a generalization of the Ehrenfest theorem for arbitrary operators.
8.6. Local Correlation
Bohm [] introduced the idea of the correlation operator
This operator is also related to the deletion or scale operator [,]. Direct calculation on the wave function gives []
Therefore,
Hence, the local value of is
For the global uncertainty, we have
9. Quantum Group Delay: Position for a Given Momentum
We now consider the average position for a given momentum. In the case of signal processing, where we are dealing with time-dependent signals, this is called the group delay [,,]. The position operator in the momentum representation is
Denoting the momentum wave function by , we have that
Alternatively, if we express the momentum wave function in terms of its phase and amplitude
then
Hence,
We call the quantum group delay (in analogy to the time-frequency case). The local standard deviation is
Free particle. Consider the general solution to the Schrödinger wave equation for a free particle
We have that
giving that
Hence,
This shows that the expected value of position for a given momentum at time t changes as
Also, we have that the local standard deviation does not change:
As an example, if we take a Gaussian in momentum space to be
where are arbitrary real parameters, we obtain
Example: Energy for a Given Momentum
The Hamiltonian in momentum space is
Operating on a momentum wave function, we have that
Writing the potential as
with
then
10. Other Approaches to Local Values
10.1. Quasi-Probability Approach
If we had a proper joint distribution of position and momentum, conditional values would be well defined. The Wigner distribution [,,,,,,]
acts in some respects as a position–momentum distribution, but is not manifestly positive, and hence, it is often called quasi-distribution. Historically, many other quasi-distributions have been proposed in quantum mechanics and signal processing. Among these are the Margenou–Hill, Rihaceck, Choi–Wiliams, and ZAM [,,,,,], among others.
All bilinear phase space distributions, may be characterized and generated by [,]
where is the kernel function that characterizes the distribution. If one considers distribution for kernels that satisfy
the quantum mechanical marginals are obtained:
where is the probability distribution of position and is the probability distribution of momentum. There is an infinite number of distributions that satisfy these conditions; the Wigner distribution is obtained by choosing . Of fundamental importance is the calculation of quantum averages. If we have a classical function and a corresponding operator , we want
where the left-hand side is the quantum way of calculating a global expectation value average and the right-hand side is the standard way of calculating averages. For Equation (152) to hold, there must be a relation between and , and this will be discussed in Section 10.3.
The conditional distributions are
Local momentum. For simplicity, we consider product kernels
The local momentum is
If we want this to equal the derivative of the phase
we must choose distributions that satisfy
Local standard deviation. For the second moment , one obtains
and for the local standard deviation, we have
If we want and to be manifestly positive, then the choice
gives
which are both manifestly positive. Equation (162) for is identical to the result obtained previously, Equation (49). We emphasize that there are an infinite number of distributions that satisfy Equations (157) and (160).
Wigner distribution. Moyal was the first to consider local moments for the Wigner distribution. The Wigner distribution case is obtained by taking the kernel to be one, . One obtains from the above equations that for the Wigner distribution
10.2. Window Wave Function Approach
The window function approach for obtaining quasi-distributions gives interesting results and may be thought of as a way of estimating quantities [,,]. One focuses on the position by multiplying the wave function by a relatively narrow function centered at In particular, for the wave function which is the window function , the joint position momentum probability is
This distribution is manifestly positive but does not satisfy the quantum mechanical marginals. The position marginals are given by
where is the momentum wave function of the window
We write the wave function and window in terms of their respective amplitude and phases
then the first conditional moment of momentum for a given position is
calculated to be []
To obtain increasing position localization, we narrow the window so that
Then,
That is,
For the standard deviation, we know it has to go to infinity because we have narrowed the window to a delta function
However, it goes to infinity in an interesting way, namely
The first term is identical to the conditional spread in momentum for a given position obtained as derived previously, Equation (49).
10.3. Correspondence Rules Approach
As mentioned in Section 10.1 for space phase averaging of a classical function to give the quantum results to the same result as the quantum result,
where is the quantum operator corresponding to the classical , there must be a relation between the classical function and quantum operator. Such relations have historically been called correspondence rules, or rules of association [,,,,,].
All correspondence rules may be characterized by taking the operator to be
where is a two-dimensional function, called the kernel, as described in Section 10.1. By choosing different kernels, different rules are obtained. In Equation (178), is the Fourier transform of the classical function
with
Using the Baker–Housdorf theorem, Equations (178) may be written in the following alternate forms [,]:
The operation on a position and momentum wave function is given by
and
Therefore,
Hence, we have that
Also, the conditional average for a given momentum is
10.4. Characteristic Function Approach
We now approach the question of local values from the characteristic function approach point of view. For a probability distribution in two variables, the characteristic function, is defined:
Inversely, we have
The characteristic function is an expectation value, namely the expectation value of
Now consider the average conditional value of a at a given
where is the marginal of Substituting Equation (190) into Equation (192), one obtains
which evaluates to
We now attempt to write the quantum mechanical equivalent to Equation (194). Since is an expectation value, we write
where is the operator corresponding to the classical Therefore, for the quantum case, we have
There are an infinite number of expressions for because of the non-commutativity of the operators. For example, or or among others.
If we take b to be position, x, and take
then
which gives
Evaluation leads to
which is the same answer as Equation (18). This was obtained in [] by a different approach. Note that there are an infinite number of distributions that give this result.
10.5. Local Kinetic Energy—Various Expressions
As discussed in the introduction, local kinetic energy has played an import role in a number of areas of quantum mechanics. Four expressions that have been used by various authors are [,,,,,]
In polar coordinates (in one dimension), these expressions are
All these local expressions give the correct quantum average kinetic energy
Now
and it is only these terms that contribute to the global kinetic energy; the other local terms integrate to zero.
10.6. Formant Bandwidth
In the field of speech analysis, the concept of formant bandwidth, that is, the conditional standard deviations, has been developed [,,]. From the point of view of the methods we have developed for position wave functions, in contrast to the signal analysis case, which deals with time functions, the bandwidth is taken to be of the form
where a and B are constants.
In our formulation, the bandwidth for momentum at a given position x is Equation (49), where in this section, we take
To show under what conditions Equation (213) can be approximated by Equation (212), we expand R and S in the wave function
by a Taylor series
Therefore,
If we want to fit the amplitude by
then comparing Equation (218) with Equation (219), we have that
This will be the case if the amplitude is very slowly varying.
10.7. Weak Value Approach
The concept of weak values originated with Aharanov et al. [,,] and has been discussed in the contexts of quantum mechanical measurement theory. The possible relation of weak values to conditional values has been discussed by a number of authors [,,,]. Hiley [] has given an interesting derivation of weak values. A paper relating the Hiley approach to weak values and the conditional values we have discussed in previous sections is being written []. Here we briefly show how the Hiley method may be modified to obtain Equation (18). For the operator we write the eigenvalue problem
where and are the eigenvalues and eigenfunctions, respectively. The wave function can be expanded as
with
where is the wave function in the alpha representation. Start with the expectation value in the alpha representation
Following Hiley, substitute just for , and multiplying and dividing the integrand by , we have
The weak value, is
In some sense one can simplify the derivation even further. We have
which gives Equation (231). The weak value, is generally complex and we write as per Equation (16)
The expected value of is given by
If is Hermitian, then we know that is real, and hence,
The real part of is what we have previously derived, and which we called the conditional value of at a given x
which is Equation (18).
11. Conclusions
We discuss the fundamental problem with the concept of conditional values in quantum mechanics. For the classical case where local value is defined by
and where is a proper distribution function; then of course, global averages are given by
where is the probability of which is the marginal of However, it is important to appreciate that the converse is not true. That is, for an that satisfies Equation (240), it is not necessarily true that is proper. By proper, we mean that it comes from some legitimate joint distribution. In analogy with other fields, if is proper, we call it “representable” (or realizable); otherwise, we call it not representable. Even in standard probability theory, one comes across non-representable quantities. It is sometimes easy to see that a conditional is not representable. For example, if we are given , which is not manifestly positive, then obviously, it is not representable.
It is a remarkable fact that in quantum mechanics, we almost always deal with improper local quantities but that are nonetheless very useful. For the conditional values defined in quantum mechanics, one traditionally checks that it indeed integrates to the global quantum mechanical average,
However, Equation (241) is far from sufficient to establish the representability of To illustrate the issues, we consider the example of quantum mechanical current with unit mass
We have that
where is the average momentum given by
where is the probability distribution of momentum. Quantum mechanical current plays a basic role in quantum mechanics, and often fits our intuitive classical notions. But it has peculiar properties that clearly indicate that it is not representable. In particular, Bracken and Melloy [] showed that one can have wave functions where current is flowing out of a particular region, while there is an increase in probability in that region. Other peculiar behaviors of current are with the time of arrival issues [,,]. A particularly dramatic example [] that is totally in conflict with our intuition is that for momentum distributions, , that are limited in range between two values, the current may range outside these values! That could not happen if the current was representable. These curious behaviors of current are generally not discussed in textbooks. The classic book by Schiff [] does mention that the concept of current has limited applicability, but it is not clear what the limitations are. These issues are identical to the concept of “instantaneous frequency” in the field of signal processing [,,,,,].
The same issues discussed above apply to the general case. In particular, for an arbitrary operator, the eigenvalue problem
gives the numerical values that can be measured, namely the eigenvalues, The wave function in the representation is given by
with
It is one of the main results of quantum mechanics that the average is given. Now consider the expected value of alpha
We have shown that a reasonable expression for local value is , and it follows that
This is in analogy to Equation (240) for current. We believe that this expression and others for conditional values show peculiarities because of their non-representability, but these peculiarities have not been studied in general, and it would be very interesting to do so.
Another important issue regarding local values is that while there are many different local value expressions for a given operator, only some are used with profit. For example, the various expressions given in Section 10.5 for local kinetic energy are all different, and in fact, there are an infinite number of them. However, different expressions have been used for different purposes with profit. For example, a particular class of expressions is used to define a virial theorem in a region, which, in turn, has been used to define atoms in molecules. Not all local kinetic energy expressions work. On the other hand, different expressions have been profitably used in developing classical types of kinetic equations.
From a mathematical point of view, it is clear why there are an infinite number of local values for a given operator. What is not clear is why some are useful, and others are not. That is a subject worth exploring.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Data Availability Statement
The original contributions presented in the study are included in the article, further inquiries can be directed to author.
Conflicts of Interest
The author declares no conflict of interest.
Appendix A. Relation between Global and Conditional Standard Deviation
We derive the relationship between the global and conditional quantities for both the classical and quantum cases. We streamline the derivation given in []. Although we have derived parts of the derivation in the above, we make this appendix self-contained. We deal with the classical case first. For a probability distribution, of an arbitrary variable, and position x, the global average of a is given by
and the conditional average by
where is the conditional probability density
and is the marginal of x
Multiplying Equation (A2) by and integrating both sides with respect to x, we have
which shows that the global averages may be obtained by integrating the conditional average with the probability of x.
Now consider the relation between the global standard deviation,
and the conditional standard deviation, , given by
Starting with the definition of
multiply both sides by and integrate to obtain
The first term of the right-hand side gives , and for the second term, the integration gives
where we have used
Hence,
Now subtract and add to the right-hand side of Equation (A14) to obtain
Therefore,
giving Equation (12) of the text. Note that in the above derivation, there is nothing special about x. It could be any other random variable.
Appendix A.1. Quantum Uncertainty Equation
The quantum standard deviation in the position representation is given by
Since the operator is Hermitian, we can write
Now break up
and write
The first two terms are real, and hence, we have that
Appendix A.2. Momentum Representation
If we are in the momentum representation, the identical derivation gives
where is the momentum wave function and the operator has to be expressed in the momentum representation.
Appendix A.3. Two Arbitrary Operators
For a Hermitian operator , we write the eigenvalue problem
where and are the eigenvalues and eigenfunctions, respectively. The wave function can be expanded as
with
where is the wave function in the beta representation. The expected value of an operator expressed in the beta representation is
and the standard deviation is
Again, we break up into its real and imaginary parts
Then, following the same steps as above, we have that the quantum mechanical standard deviation may be written as
References
- Bohm, D. Quantum Theory; Prentice-Hall: New York, NY, USA, 1951. [Google Scholar]
- Merzbacher, E. Quantum Mechanics; John Wiley & Sons, Inc.: New York, NY, USA, 1998. [Google Scholar]
- Schleich, W.P. Quantum Optics in Phase Space; Wiley: Weinheim, Germany, 2001. [Google Scholar]
- Scully, M.O.; Zubairy, M.S. Quantum Optics; Cambridge University Press: Cambridge, UK, 1997. [Google Scholar]
- Bader, R.F.W. Atoms in Molecules—A Quantum Theory; Oxford University Press: Oxford, UK, 1990. [Google Scholar]
- Bader, R.F.W.; Preston, J.T. The kinetic energy of molecular charge distributions and molecular stability. Int. J. Quantum Chem. 1969, 3, 327–347. [Google Scholar] [CrossRef]
- Bader, R.F.W.; Beddall, P.M. Virial Field Relationship for Molecular Charge Distributions and the Spatial Partitioning of Molecular Properties. J. Chem. Phys. 1972, 56, 3320. [Google Scholar] [CrossRef]
- Ghosh, S.K.; Berkowitz, M.; Parr, R.G. Transcription of ground-state density-functional theory into a local thermodynamics. Proc. Natl. Acad. Sci. USA 1984, 81, 8028–8031. [Google Scholar] [CrossRef]
- Mazziotti, A.; Parr, R.G.; Simons, G. Regional stationary principles and regional virial theorems. J. Chem. Phys. 1973, 59, 939–942. [Google Scholar] [CrossRef]
- Cohen, L. Local Kinetic Energy in Quantum Mechanics. J. Chem. Phys. 1979, 70, 788. [Google Scholar] [CrossRef]
- Putterman, S.J. Superfluid Hydrodynamics; North-Holland Publishing: Amsterdam, The Netherlands, 1974. [Google Scholar]
- Ziff, R.M.; Uhlenbeck, G.E.; Kac, M. The ideal Bose-Einstein gas, revisited. Phys. Rep. 1977, 32, 169–248. [Google Scholar] [CrossRef]
- Cohen, L. Time-Frequency Analysis; Prentice-Hall: Upper Saddle River, NJ, USA, 1995. [Google Scholar]
- Loughlin, P.; Pitton, J.; Atlas, L. Bilinear time-frequency representations: New insights; properties. IEEE Trans. Signal Process. 1993, 41, 750–767. [Google Scholar] [CrossRef]
- Choi, H.; Williams, W. Improved time-frequency representation of multicomponent signals using exponential kernels. IEEE Trans. ASSP 1989, 37, 862–871. [Google Scholar] [CrossRef]
- Jeong, J.; Williams, W. Kernel design for reduced interference distributions. IEEE Trans. Signal Process. 1992, 40, 402–412. [Google Scholar] [CrossRef]
- Marks II, R.J. Handbook of Fourier Analysis & Its Applications; Oxford University Press: Oxford, UK, 2009. [Google Scholar]
- Boudreaux-Bartels, G.F. Mixed Time-Frequency Signal Transformations. In Transforms and Applications Handbook, 2nd ed.; Poularikas, A.D., Ed.; CRC Press LLC: Boca Raton, FL, USA, 2000. [Google Scholar]
- Hlawatsch, F.; Boudreaux-Bartels, G.F. Linear and quadratic time-frequency signal representations. IEEE Signal Process. Mag. 1992, 9, 21–67. [Google Scholar] [CrossRef]
- Poularikas, A.D. Transforms and Applications Handbook, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2000. [Google Scholar]
- Amin, M. Time-varying spectrum estimation of a general class of nonstationary processes. Proc. IEEE 1986, 74, 1800–1802. [Google Scholar] [CrossRef]
- Feller, W. An Introduction to Probability Theory and Its Applications; John Wiley & Sons: New York, NY, USA, 1968; Volume 2. [Google Scholar]
- Wang, M.C.; Uhlenbeck, G.E. On the Theory of the Brownian Motion II. Rev. Mod. Phys. 1945, 17, 323–342. [Google Scholar] [CrossRef]
- Middleton, D. Introduction to Statistical Communication Theory; McGraw-Hill: New York, NY, USA, 1960. [Google Scholar]
- Papoulis, A.; Pillai, S.U. Probability, Random Variables, and Stochastic Processes, 4th ed.; McGraw-Hill: New York, NY, USA, 2002. [Google Scholar]
- Cohen, L. Local Values in Quantum Mechanics. Phys. Lett. A 1996, 212, 315–319. [Google Scholar] [CrossRef]
- Loughlin, P.; Tacer, B. Instantaneous frequency and the conditional mean frequency of a signal. Signal Process. 1997, 60, 153–162. [Google Scholar] [CrossRef]
- Loughlin, P.; Tacer, B. Comments on the Interpretation of Instantaneous Frequency. IEEE Signal Process. Lett. 1997, 4, 123–125. [Google Scholar] [CrossRef]
- Galleani, L.; Tavella, P. The Dynamic Allan Variance V: Recent Advances in Dynamic Stability Analysis. IEEE Trans. Ultrason. Ferroelectr. Freq. Control 2016, 63, 624–635. [Google Scholar] [CrossRef]
- Galleani, L. Response of Dynamical Systems to Nonstationary Inputs. IEEE Trans. Signal Process. 2012, 60, 5775–5786. [Google Scholar] [CrossRef]
- Landau, L.D.; Lifshitz, E.M. Quantum Mechanics: Non-Relativistic Theory; Elsevier: New York, NY, USA, 1965. [Google Scholar]
- Bohm, D. A suggested interpretation of the quantum theory in terms of “hidden” variables. I. Phys. Rev. 1952, 85, 166. [Google Scholar] [CrossRef]
- Holland, P.R. The Quantum Theory of Motion; Cambridge University Press: Cambridge, UK, 1993. [Google Scholar]
- Bohm, D.; Hiley, B.J. The Undivided Universe: An Ontological Interpretation of Quantum Theory; Routledge: New York, NY, USA, 1993. [Google Scholar]
- Cushing, J.T. Quantum Mechanics; The University of Chicago Press: Chicago, IL, USA, 1994. [Google Scholar]
- Bohm, D. A Suggested Interpretation of the Quantum Theory in Terms of “Hidden” Variables. II. Phys. Rev. 1952, 85, 180. [Google Scholar] [CrossRef]
- Dias, N.C.; Prata, J.N. Bohmian trajectories; quantum phase space distributions. Phys. Lett. A 2002, 302, 261–272. [Google Scholar] [CrossRef][Green Version]
- Cohen, L.; Loughlin, P. Bohmian; quantum phase space distribution expansions; approximations. Phys. Lett. A 2014, 378, 931–936. [Google Scholar] [CrossRef]
- Bertrand, J.; Bertrand, P. Representation temps-frequence des signoux. C. R. Acad. Sci. 1984, 299, 635–638. [Google Scholar]
- Bertrand, J.; Bertrand, P. Time-Frequency Representations of Broad Band Signals. In The Physics of Phase Space; Kim, Y.S., Zachary, W.W., Eds.; Springer: Berlin/Heidelberg, Germany, 1987; pp. 250–252. [Google Scholar]
- Oppenheim, A.V.; Schafer, R.W. Discrete-Time Signal Processing; Pearson: London, UK, 2010. [Google Scholar]
- Whitham, G. Linear and Nonlinear Waves; John Wiley & Sons: New York, NY, USA, 1974. [Google Scholar]
- Wigner, E.P. On the quantum correction for thermodynamic equilibrium. Phys. Rev. 1932, 40, 749–759. [Google Scholar] [CrossRef]
- Wigner, E.P. Quantum-mechanical distribution functions revisited. In Perspectives in Quantum Theory; Yourgrau, W., van der Merwe, A., Eds.; MIT Press: Cambridge, MA, USA, 1971; pp. 25–36. [Google Scholar]
- Moyal, J.E. Quantum mechanics as a statistical theory. Proc. Camb. Phil. Soc. 1949, 45, 99–124. [Google Scholar] [CrossRef]
- Hillery, M.; O’Connell, R.F.; Scully, M.O.; Wigner, E.P. Distribution functions in physics: Fundamentals. Phys. Rep. 1984, 106, 121. [Google Scholar] [CrossRef]
- Mugur-Schächter, M. A study of Wigner’s theorem on joint probabilities. Found. Phys. 1979, 9, 389–404. [Google Scholar] [CrossRef]
- Mugur-Schächter, M. The Quantum Mechanical One-System Formalism, Joint Probabilities and Locality. In Quantum Mechanics, a Half Century Later; Lopes, J., Patty, M., Eds.; Springer: Berlin/Heidelberg, Germany, 1977. [Google Scholar]
- Margenau, H.; Hill, R.N. Correlation between measurements in quantum theory. Prog. Theor. Phys. 1961, 26, 722–738. [Google Scholar] [CrossRef]
- Margenau, H. Measurements; Quantum States: Part I; II. Philos. Sci. 1963, 30, 138–157. [Google Scholar] [CrossRef]
- Rihaczek, W. Signal Energy Distribution in Time; Frequency. IEEE Trans. Inf. Theory 1968, 4, 369–374. [Google Scholar] [CrossRef]
- Zhao, Y.; Atlas, L.E.; Marks, R.J. The Use of Cone-Shaped Kernels for Generalized Time-Frequency Representations of Nonstationary Signals. IEEE Trans. Acoust. Speech Signal. Process. 1990, 38, 1084–1091. [Google Scholar] [CrossRef]
- Cohen, L. Generalized phase space distribution functions. J. Math. Phys. 1966, 7, 781–786. [Google Scholar] [CrossRef]
- Lee, H.W. Theory and application of the quantum phase-space distribution functions. Phys. Rep. 1995, 259, 147–211. [Google Scholar] [CrossRef]
- Ben-Benjamin, J.S.; Cohen, L. Pulse propagation; windowed wave functions. J. Mod. Opt. 2014, 61, 36–42. [Google Scholar] [CrossRef]
- Davidson, K.; Loughlin, P. Compensating for window effects in the calculation of spectrographic instantaneous bandwidth. IEEE Trans. Biomed. Eng. 2000, 47, 556–558. [Google Scholar] [CrossRef]
- Born, M.; Jordan, P. Zur Quantenmechanik. Z. Phys. 1925, 34, 858–888. [Google Scholar] [CrossRef]
- Weyl, H. The Theory of Groups and Quantum Mechanics; E.P. Dutton & Co.: New York, NY, USA, 1928. [Google Scholar]
- Kirkwood, J.G. Quantum Statistics of Almost Classical Assemblies. Phys. Rev. 1933, 45, 116–117. [Google Scholar] [CrossRef]
- Shewell, J.R. On the formation of quantum-mechanical operators. Am. J. Phys. 1959, 27, 16–21. [Google Scholar] [CrossRef]
- Wong, M.W. Weyl Transforms; Springer: New York, NY, USA, 1998. [Google Scholar]
- Cohen, L. The Weyl Operator and Its Generalization; Springer: Basel, Switzerland, 2013. [Google Scholar]
- Wilcox, R.M. Exponential Operators and Parameter Differentiation in Quantum Physics. J. Math. Phys. 1967, 8, 962. [Google Scholar] [CrossRef]
- Muga, J.G.; Palao, J.P.; Sala, R. Average local values and local variances in quantum mechanics. Phys. Lett. A 1998, 238, 90–94. [Google Scholar] [CrossRef]
- Muga, J.G.; Seidel, D.; Hegerfeldt, G.C. Quantum kinetic energy densities: An operational approach. J. Chem. Phys. 2005, 122, 154106. [Google Scholar] [CrossRef]
- Pinsen, E.N. Pitch-Synchronous Time-Domain Estimation of Formant Frequencies; Bandwidths. J. Acoust. Soc. Am. 1963, 35, 1264–1273. [Google Scholar] [CrossRef]
- Flanagan, J.L. Speech Analysis Synthesis; Perception, 2nd ed.; Springer: New York, NY, USA, 1972. [Google Scholar]
- Cohen, L.; Assaleh, K.; Fineberg, A. Instantaneous Bandwidth; Formant Bandwidth. In Proceedings of the IEEE Sixth SSAP Workshop on Statistical Signal & Array Processing, Victoria, BC, Canada, 7–9 October 1992; pp. 13–17. [Google Scholar]
- Aharonov, Y.; Pendleton, H.; Petersen, A. Modular Variables in Quantum Theory. Int. J. Theor. Phys. 1969, 2, 213–230. [Google Scholar] [CrossRef]
- Aharonov, Y.; Pendleton, H.; Petersen, A. Deterministic Quantum Interference Experiments. Int. J. Theor. Phys. 1970, 3, 443–448. [Google Scholar] [CrossRef]
- Aharonov, Y.; Rohrlich, D. Quantum Paradoxes; Wiley-VCH: Weinheim, Germany, 2005. [Google Scholar]
- Wiseman, H.M. Grounding Bohmian mechanics in weak values and bayesianism. New J. Phys. 2007, 9, 165. [Google Scholar] [CrossRef]
- Foo, J.; Austin, P.; Timothy, C. Measurement-based Lorentz-covariant Bohmian trajectories of interacting photons. Phys. Rev. A 2024, 109, 022229. [Google Scholar] [CrossRef]
- Johansen, L.M. What is the value of an observable between pre- and postselection? Phys. Lett. A 2004, 322, 298–300. [Google Scholar] [CrossRef]
- Hiley, B.J. Weak Values: Approach through the Clifford; Moyal Algebras. J. Phys. Conf. Ser. 2012, 361, 012014. [Google Scholar] [CrossRef]
- Loughlin, P.; Sala, R.; Cohen, L. Conditional Values and Weak Values. City University of New York, New York, NY, USA. to be submitted.
- Bracken, A.J.; Melloy, G.F. Probability backflow; a new dimensionless quantum number. J. Phys. A Math. Gen. 1994, 27, 2197–2211. [Google Scholar] [CrossRef]
- Muga, J.G.; Leavens, C.R. Time of arrival in quantum mechanics. Phys. Rep. 2000, 338, 353. [Google Scholar] [CrossRef]
- Muga, J.G.; Brouard, S.; Sala, R. Transmission; reflection tunneling times. Phys. Lett. A 1992, 167, 24–28. [Google Scholar] [CrossRef]
- Muga, J.G.; Delgado, V.; Sala, R.; Snider, R.F. Comparison of positive flux operators for transition state theory using a solvable model. J. Chem. Phys. 1996, 104, 7015–7026. [Google Scholar] [CrossRef]
- Loughlin, P.; Cohen, L. Current; quasi-probability phase-space distributions. J. Mod. Opt. 2003, 50, 2305–2329. [Google Scholar] [CrossRef]
- Schiff, L. Quantum Mechanics; McGraw-Hill: New York, NY, USA, 1968. [Google Scholar]
- Poletti, M.A. Instantaneous Frequency and Conditional Moments in the Time-Frequency Plane. IEEE Trans. Signal Process. 1991, 39, 755–756. [Google Scholar] [CrossRef]
- Poletti, M.A. The development of instantaneous bandwidth via local signal expansion. Signal Process. 1993, 31, 273–281. [Google Scholar] [CrossRef]
- Loughlin, P.; Davidson, K. Positive local variances of time-frequency distributions and local uncertainty. In Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Pittsburgh, PA, USA, 9 October 1998; pp. 541–544. [Google Scholar]
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