The ability to calculate precise likelihood ratios is fundamental to science, from Quantum Information Theory through to Quantum State Estimation. However, there is no assumption-free statistical methodology to achieve this. For instance, in the absence of data relating to covariate overlap, the widely used Bayes’ theorem either defaults to the marginal probability driven “naive Bayes’ classifier”, or requires the use of compensatory expectation-maximization techniques. This paper takes an information-theoretic approach in developing a new statistical formula for the calculation of likelihood ratios based on the principles of quantum entanglement, and demonstrates that Bayes’ theorem is a special case of a more general quantum mechanical expression.
Read More: http://www.worldscientific.com/doi/abs/10.1142/S0219749918500028
What is quantum information? Information symmetry and mechanical motionVasil Penchev
The concept of quantum information is introduced as both normed superposition of two orthogonal subspaces of the separable complex Hilbert space and invariance of Hamilton and Lagrange representation of any mechanical system. The base is the isomorphism of the standard introduction and the representation of a qubit to a 3D unit ball, in which two points are chosen.
The separable complex Hilbert space is considered as the free variable of quantum information and any point in it (a wave function describing a state of a quantum system) as its value as the bound variable.
A qubit is equivalent to the generalization of ‘bit’ from the set of two equally probable alternatives to an infinite set of alternatives. Then, that Hilbert space is considered as a generalization of Peano arithmetic where any unit is substituted by a qubit and thus the set of natural number is mappable within any qubit as the complex internal structure of the unit or a different state of it. Thus, any mathematical structure being reducible to set theory is representable as a set of wave functions and a subspace of the separable complex Hilbert space, and it can be identified as the category of all categories for any functor represents an operator transforming a set (or subspace) of the separable complex Hilbert space into another. Thus, category theory is isomorphic to the Hilbert-space representation of set theory & Peano arithmetic as above.
Given any value of quantum information, i.e. a point in the separable complex Hilbert space, it always admits two equally acceptable interpretations: the one is physical, the other is mathematical. The former is a wave function as the exhausted description of a certain state of a certain quantum system. The latter chooses a certain mathematical structure among a certain category. Thus there is no way to be distinguished a mathematical structure from a physical state for both are described exhaustedly as a value of quantum information. This statement in turn can be utilized to be defined quantum information by the identity of any mathematical structure to a physical state, and also vice versa. Further, that definition is equivalent to both standard definition as the normed superposition and invariance of Hamilton and Lagrange interpretation of mechanical motion introduced in the beginning of the paper.
Then, the concept of information symmetry can be involved as the symmetry between three elements or two pairs of elements: Lagrange representation and each counterpart of the pair of Hamilton representation. The sense and meaning of information symmetry may be visualized by a single (quantum) bit and its interpretation as both (privileged) reference frame and the symmetries of the Standard model.
The Gödel incompleteness can be modeled on the alleged incompleteness of quantum mechanics
Then the proved and even experimentally confirmed completeness of quantum mechanics can be reversely interpreted as a strategy of completeness as to the foundation of mathematics
Infinity is equivalent to a second and independent finiteness
Two independent Peano arithmetics as well as one single Hilbert space as an unification of geometry and arithmetic are sufficient to the self-foundation of mathematics
Quantum mechanics is inseparable from the foundation of mathematics and thus from set theory particularly
A CLASS OF EXEMPLES DEMONSTRATING THAT “푃푃≠푁푁푁 ” IN THE “P VS NP” PROBLEMVasil Penchev
The CMI Millennium “P vs NP Problem” can be resolved e.g. if one shows at least one counterexample to the “P=NP” conjecture. A certain class of problems being such counterexamples will be formulated. This implies the rejection of the hypothesis “P=NP” for any conditions satisfying the formulation of the problem. Thus, the solution “P≠NP” of the problem in general is proved. The class of counterexamples can be interpreted as any quantum superposition of any finite set of quantum states. The Kochen-Specker theorem is involved. Any fundamentally random choice among a finite set of alternatives belong to “NP’ but not to “P”. The conjecture that the set complement of “P” to “NP” can be described by that kind of choice exhaustively is formulated.
Quantum information as the information of infinite seriesVasil Penchev
The quantum information introduced by quantum mechanics is equivalent to that generalization of the classical information from finite to infinite series or collections. The quantity of information is the quantity of choices measured in the units of elementary choice. The qubit, can be interpreted as that generalization of bit, which is a choice among a continuum of alternatives. The axiom of choice is necessary for quantum information. The coherent state is transformed into a well-ordered series of results in time after measurement. The quantity of quantum information is the ordinal corresponding to the infinity series in question.
What is quantum information? Information symmetry and mechanical motionVasil Penchev
The concept of quantum information is introduced as both normed superposition of two orthogonal subspaces of the separable complex Hilbert space and invariance of Hamilton and Lagrange representation of any mechanical system. The base is the isomorphism of the standard introduction and the representation of a qubit to a 3D unit ball, in which two points are chosen.
The separable complex Hilbert space is considered as the free variable of quantum information and any point in it (a wave function describing a state of a quantum system) as its value as the bound variable.
A qubit is equivalent to the generalization of ‘bit’ from the set of two equally probable alternatives to an infinite set of alternatives. Then, that Hilbert space is considered as a generalization of Peano arithmetic where any unit is substituted by a qubit and thus the set of natural number is mappable within any qubit as the complex internal structure of the unit or a different state of it. Thus, any mathematical structure being reducible to set theory is representable as a set of wave functions and a subspace of the separable complex Hilbert space, and it can be identified as the category of all categories for any functor represents an operator transforming a set (or subspace) of the separable complex Hilbert space into another. Thus, category theory is isomorphic to the Hilbert-space representation of set theory & Peano arithmetic as above.
Given any value of quantum information, i.e. a point in the separable complex Hilbert space, it always admits two equally acceptable interpretations: the one is physical, the other is mathematical. The former is a wave function as the exhausted description of a certain state of a certain quantum system. The latter chooses a certain mathematical structure among a certain category. Thus there is no way to be distinguished a mathematical structure from a physical state for both are described exhaustedly as a value of quantum information. This statement in turn can be utilized to be defined quantum information by the identity of any mathematical structure to a physical state, and also vice versa. Further, that definition is equivalent to both standard definition as the normed superposition and invariance of Hamilton and Lagrange interpretation of mechanical motion introduced in the beginning of the paper.
Then, the concept of information symmetry can be involved as the symmetry between three elements or two pairs of elements: Lagrange representation and each counterpart of the pair of Hamilton representation. The sense and meaning of information symmetry may be visualized by a single (quantum) bit and its interpretation as both (privileged) reference frame and the symmetries of the Standard model.
The Gödel incompleteness can be modeled on the alleged incompleteness of quantum mechanics
Then the proved and even experimentally confirmed completeness of quantum mechanics can be reversely interpreted as a strategy of completeness as to the foundation of mathematics
Infinity is equivalent to a second and independent finiteness
Two independent Peano arithmetics as well as one single Hilbert space as an unification of geometry and arithmetic are sufficient to the self-foundation of mathematics
Quantum mechanics is inseparable from the foundation of mathematics and thus from set theory particularly
A CLASS OF EXEMPLES DEMONSTRATING THAT “푃푃≠푁푁푁 ” IN THE “P VS NP” PROBLEMVasil Penchev
The CMI Millennium “P vs NP Problem” can be resolved e.g. if one shows at least one counterexample to the “P=NP” conjecture. A certain class of problems being such counterexamples will be formulated. This implies the rejection of the hypothesis “P=NP” for any conditions satisfying the formulation of the problem. Thus, the solution “P≠NP” of the problem in general is proved. The class of counterexamples can be interpreted as any quantum superposition of any finite set of quantum states. The Kochen-Specker theorem is involved. Any fundamentally random choice among a finite set of alternatives belong to “NP’ but not to “P”. The conjecture that the set complement of “P” to “NP” can be described by that kind of choice exhaustively is formulated.
Quantum information as the information of infinite seriesVasil Penchev
The quantum information introduced by quantum mechanics is equivalent to that generalization of the classical information from finite to infinite series or collections. The quantity of information is the quantity of choices measured in the units of elementary choice. The qubit, can be interpreted as that generalization of bit, which is a choice among a continuum of alternatives. The axiom of choice is necessary for quantum information. The coherent state is transformed into a well-ordered series of results in time after measurement. The quantity of quantum information is the ordinal corresponding to the infinity series in question.
Yet another statistical analysis of the data of the ‘loophole free’ experime...Richard Gill
I plan to present some simple and as far as I know novel statistical analyses of the data of the famous Bell-type experiments of 2015 and 2016: Delft, NIST, Vienna and Munich.
Every statistical analysis relies on statistical assumptions. I’ll make some quite strong (and obviously naive) assumptions which do however justify a very simple but unconventional analysis, and which enable us to compare the results of the two main types of experiments: the traditional Bell-CHSH type experimental set-up but with settings and state chosen to somehow “optimise” the handling of the detection loophole, and the experiments based on entanglement swapping which do however aim at creating the traditionally optimal state and settings for such experiments.
One cannot say which type of experiment is better without agreeing on how to compromise between the desires to obtain high statistical significance and high physical significance.
I'll also discuss my current opinions on the question: what should we now believe about locality and realism and the foundations of quantum mechanics. My provisional conclusion is "spukhafte Fernwerkung". This is a talk at the 2019 Växjö conference QIRIF
Order, Chaos and the End of ReductionismJohn47Wind
The author presents a case against reductionism based on the emergence of chaos and order from underlying non-linear processes. Since all theories are mathematical, and based on an underlying premise of linearity, the author contends that there is no hope that science will succeed in creating a theory of everything that is complete. The controversial subject of life and evolution are explored, exposing the fallacy of a reductionist explanation, and offering a theory of order emerging from chaos as being the creative process of the universe, leading all the way up to consciousness. The essay concludes with the possibility that the three-dimensional universe is a fractal boundary that separates order and chaos in a higher dimension. The author discusses the work of Claude Shannon, Benoit Mandelbrot, Stephen Hawking, Carl Sagan, Albert Einstein, Erwin Schrodinger, Erik Verlinde, John Wheeler, Richard Maurice Bucke, Pierre Teilhard de Chardin, and others. This is a companion piece to the essay "Is Science Solving the Reality Riddle?"
Is Mass at Rest One and the Same? A Philosophical Comment: on the Quantum I...Vasil Penchev
The way, in which quantum information can unify quantum mechanics (and therefore the standard
model) and general relativity, is investigated. Quantum information is defined as the generalization
of the concept of information as to the choice among infinite sets of alternatives. Relevantly, the
axiom of choice is necessary in general. The unit of quantum information, a qubit is interpreted
as a relevant elementary choice among an infinite set of alternatives generalizing that of a bit.
The invariance to the axiom of choice shared by quantum mechanics is introduced: It constitutes
quantum information as the relation of any state unorderable in principle (e.g. any coherent quantum
state before measurement) and the same state already well-ordered (e.g. the well-ordered statistical
ensemble of the measurement of the quantum system at issue). This allows of equating the classical and
quantum time correspondingly as the well-ordering of any physical quantity or quantities and their
coherent superposition. That equating is interpretable as the isomorphism of Minkowski space and
Hilbert space. Quantum information is the structure interpretable in both ways and thus underlying
their unification. Its deformation is representable correspondingly as gravitation in the deformed
pseudo-Riemannian space of general relativity and the entanglement of two or more quantum
systems. The standard model studies a single quantum system and thus privileges a single reference
frame turning out to be inertial for the generalized symmetry [U(1)]X[SU(2)]X[SU(3)] “gauging” the
standard model. As the standard model refers to a single quantum system, it is necessarily linear
and thus the corresponding privileged reference frame is necessary inertial. The Higgs mechanism
U(1) → [U(1)]X[SU(2)] confirmed enough already experimentally describes exactly the choice of the
initial position of a privileged reference frame as the corresponding breaking of the symmetry. The
standard model defines ‘mass at rest’ linearly and absolutely, but general relativity non-linearly
and relatively. The “Big Bang” hypothesis is additional interpreting that position as that of the
“Big Bang”. It serves also in order to reconcile the linear standard model in the singularity of the
“Big Bang” with the observed nonlinearity of the further expansion of the universe described very
well by general relativity. Quantum information links the standard model and general relativity in
another way by mediation of entanglement. The linearity and absoluteness of the former and the
nonlinearity and relativeness of the latter can be considered as the relation of a whole and the same
whole divided into parts entangled in general.
Gravity: Superstrings or Entropy? A Modest Proffer from an Amateur ScientistJohn47Wind
This essay evaluates the promise that superstring theory will culminate in a quantum theory of gravity that unifies all the forces of nature into one package. In particular, the proponents of superstring theory promise that it will show how all forces of nature are “unified” at high energies. The essay traces the history of string theory from its humble beginnings in the 1960s, to explain the scattering of sub-atomic particles, to its culmination as five different string theories that supposedly comprise a yet-to-be defined theory named M-theory. In contrast, this essay presents a simple theory of gravity based on entropy that is distributed throughout space. A surprising consequence of entropic gravity is that Newton’s constant, G, has been decreasing over the life of universe, which fulfills the unfulfilled promise made by string theorists. Moreover, this consequence can be tested experimentally, unlike string theory, which makes no testable predictions.
It gives me great comfort to visualize this universe as the surface of an ever expanding four-dimensional sphere originating from a distant, but finite, past and growing indefinitely for ever. In this idealized model it easy to calculate the age of the universe by observing the velocity of the receding stars and also to make several other interesting conclusions. For more details, continue reading the presentation.
5080 UNIT 88Study GuideContrast the major differences betw.docxblondellchancy
5080 UNIT 88
Study Guide
Contrast the major differences between the normal distribution and the exponential and Poisson distributions.
You can use mathematical truths to foresee and estimate quite a bit to help make decisions to make your live better—such is the reason for quantitative analysis. Before shifting focus to other aspects of analysis for managers, there are two more probability distributions to explore. To explore them, though, first look at a certain constant: the natural logarithm e.
The Exponential Distribution
The natural logarithm e is actually about = 2.71828. It is a relationship a lot like π for circles and spheres in that e reflects how, when matched to a variable such as x, a natural logarithmic function goes to infinity as x increases, and to negative infinity as x goes to 0. For this to be true, ee = e0 = 1.
You can be as glad that someone else figured this out as you are that others figured through mathematics where e goes in probability distributions to help calculate things needed to find in two situations: where Exponential Distributions and Poisson Distributions can help us (Wolfram MathWorld, 2016).
The Exponential Distribution was developed from e to solve queuing questions, and as you see in the textbook, most often how long something or someone can receive a certain service if the business has a certain capacity. The Exponential Distribution has this formula:
F(X) = μe-μx
Where X = random variable, e.g. service times
μ = average number of units (e.g., services the facility can do in a given time)
e = natural logarithm constant = 2.718
The formula’s graph looks like this:
You may recognize the probability, which once again will be the area under the curve from one limit of X to the other, has a logarithmic range and all the probability/area under that logarithmic curve = 1.
Mathematical truths mean these equations are also true, and you can use them:
Expected value = 1/μ = e.g., average service time
Variance = 1 / μ2
This also means the probability that X is either less than or equal to a time t is:
P(X ≤ t) = 1 – e-μt
The Arnold’s Muffler example (page 49 of the textbook) was a good one of the Exponential Distribution, as it featured service times, and the question of what the probability would be of the installation of a new muffler being 0.5 hours or less was the area under the above curve from X (or t) = 0 to X (or t) = 0.5.
MSL 5080, Methods of Analysis for Business Operations 2
UNIT x STUDY GUIDE Title
You may recognize the probability, which once again will be the area under the curve from one limit of X to the other, has a logarithmic range and all the probability/area under that logarithmic curve = 1.
Mathematical truths mean these equations are also true, and you can use them:
Expected value = 1/μ = e.g., average service time
Variance = 1 / μ2
This also means the probability that X is either less than or equal to a time t is:
P(X ≤ t) = 1 – e-μt
The Arnold’s Muffler ...
Quantum phenomena modeled by interactions between many classical worldsLex Pit
Michael J. W. Hall, Dirk-André Deckert, and Howard M. Wiseman
ABSTRACT
We investigate whether quantum theory can be understood as the continuum limit of a mechanical theory, in which there is a huge, but finite, number of classical “worlds,” and quantum effects arise solely from a universal interaction between these worlds, without reference to any wave function. Here, a “world” means an entire universe with well-defined properties, determined by the classical configuration of its particles and fields. In our approach, each world evolves deterministically, probabilities arise due to ignorance as to which world a given observer occupies, and we argue that in the limit of infinitely many worlds the wave function can be recovered (as a secondary object) from the motion of these worlds. We introduce a simple model of such a “many interacting worlds” approach and show that it can reproduce some generic quantum phenomena—such as Ehrenfest’s theorem, wave packet spreading, barrier tunneling, and zero-point energy—as a direct consequence of mutual repulsion between worlds. Finally, we perform numerical simulations using our approach. We demonstrate, first, that it can be used to calculate quantum ground states, and second, that it is capable of reproducing, at least qualitatively, the double-slit interference phenomenon.
DOI: http://dx.doi.org/10.1103/PhysRevX.4.041013
MORE THAN IMPOSSIBLE: NEGATIVE AND COMPLEX PROBABILITIES AND THEIR INTERPRET...Vasil Penchev
What might mean “more than impossible”? For example, that could be what happens without any cause or that physical change which occurs without any physical force (interaction) to act. Then, the quantity of the equivalent physical force, which would cause the same effect, can serve as a measure of the complex probability.
Quantum mechanics introduces those fluctuations, the physical actions of which are commensurable with the Plank constant. They happen by themselves without any cause even in principle. Those causeless changes are both instable and extremely improbable in the world perceived by our senses immediately for the physical actions in it are much, much bigger than the Plank constant.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Yet another statistical analysis of the data of the ‘loophole free’ experime...Richard Gill
I plan to present some simple and as far as I know novel statistical analyses of the data of the famous Bell-type experiments of 2015 and 2016: Delft, NIST, Vienna and Munich.
Every statistical analysis relies on statistical assumptions. I’ll make some quite strong (and obviously naive) assumptions which do however justify a very simple but unconventional analysis, and which enable us to compare the results of the two main types of experiments: the traditional Bell-CHSH type experimental set-up but with settings and state chosen to somehow “optimise” the handling of the detection loophole, and the experiments based on entanglement swapping which do however aim at creating the traditionally optimal state and settings for such experiments.
One cannot say which type of experiment is better without agreeing on how to compromise between the desires to obtain high statistical significance and high physical significance.
I'll also discuss my current opinions on the question: what should we now believe about locality and realism and the foundations of quantum mechanics. My provisional conclusion is "spukhafte Fernwerkung". This is a talk at the 2019 Växjö conference QIRIF
Order, Chaos and the End of ReductionismJohn47Wind
The author presents a case against reductionism based on the emergence of chaos and order from underlying non-linear processes. Since all theories are mathematical, and based on an underlying premise of linearity, the author contends that there is no hope that science will succeed in creating a theory of everything that is complete. The controversial subject of life and evolution are explored, exposing the fallacy of a reductionist explanation, and offering a theory of order emerging from chaos as being the creative process of the universe, leading all the way up to consciousness. The essay concludes with the possibility that the three-dimensional universe is a fractal boundary that separates order and chaos in a higher dimension. The author discusses the work of Claude Shannon, Benoit Mandelbrot, Stephen Hawking, Carl Sagan, Albert Einstein, Erwin Schrodinger, Erik Verlinde, John Wheeler, Richard Maurice Bucke, Pierre Teilhard de Chardin, and others. This is a companion piece to the essay "Is Science Solving the Reality Riddle?"
Is Mass at Rest One and the Same? A Philosophical Comment: on the Quantum I...Vasil Penchev
The way, in which quantum information can unify quantum mechanics (and therefore the standard
model) and general relativity, is investigated. Quantum information is defined as the generalization
of the concept of information as to the choice among infinite sets of alternatives. Relevantly, the
axiom of choice is necessary in general. The unit of quantum information, a qubit is interpreted
as a relevant elementary choice among an infinite set of alternatives generalizing that of a bit.
The invariance to the axiom of choice shared by quantum mechanics is introduced: It constitutes
quantum information as the relation of any state unorderable in principle (e.g. any coherent quantum
state before measurement) and the same state already well-ordered (e.g. the well-ordered statistical
ensemble of the measurement of the quantum system at issue). This allows of equating the classical and
quantum time correspondingly as the well-ordering of any physical quantity or quantities and their
coherent superposition. That equating is interpretable as the isomorphism of Minkowski space and
Hilbert space. Quantum information is the structure interpretable in both ways and thus underlying
their unification. Its deformation is representable correspondingly as gravitation in the deformed
pseudo-Riemannian space of general relativity and the entanglement of two or more quantum
systems. The standard model studies a single quantum system and thus privileges a single reference
frame turning out to be inertial for the generalized symmetry [U(1)]X[SU(2)]X[SU(3)] “gauging” the
standard model. As the standard model refers to a single quantum system, it is necessarily linear
and thus the corresponding privileged reference frame is necessary inertial. The Higgs mechanism
U(1) → [U(1)]X[SU(2)] confirmed enough already experimentally describes exactly the choice of the
initial position of a privileged reference frame as the corresponding breaking of the symmetry. The
standard model defines ‘mass at rest’ linearly and absolutely, but general relativity non-linearly
and relatively. The “Big Bang” hypothesis is additional interpreting that position as that of the
“Big Bang”. It serves also in order to reconcile the linear standard model in the singularity of the
“Big Bang” with the observed nonlinearity of the further expansion of the universe described very
well by general relativity. Quantum information links the standard model and general relativity in
another way by mediation of entanglement. The linearity and absoluteness of the former and the
nonlinearity and relativeness of the latter can be considered as the relation of a whole and the same
whole divided into parts entangled in general.
Gravity: Superstrings or Entropy? A Modest Proffer from an Amateur ScientistJohn47Wind
This essay evaluates the promise that superstring theory will culminate in a quantum theory of gravity that unifies all the forces of nature into one package. In particular, the proponents of superstring theory promise that it will show how all forces of nature are “unified” at high energies. The essay traces the history of string theory from its humble beginnings in the 1960s, to explain the scattering of sub-atomic particles, to its culmination as five different string theories that supposedly comprise a yet-to-be defined theory named M-theory. In contrast, this essay presents a simple theory of gravity based on entropy that is distributed throughout space. A surprising consequence of entropic gravity is that Newton’s constant, G, has been decreasing over the life of universe, which fulfills the unfulfilled promise made by string theorists. Moreover, this consequence can be tested experimentally, unlike string theory, which makes no testable predictions.
It gives me great comfort to visualize this universe as the surface of an ever expanding four-dimensional sphere originating from a distant, but finite, past and growing indefinitely for ever. In this idealized model it easy to calculate the age of the universe by observing the velocity of the receding stars and also to make several other interesting conclusions. For more details, continue reading the presentation.
5080 UNIT 88Study GuideContrast the major differences betw.docxblondellchancy
5080 UNIT 88
Study Guide
Contrast the major differences between the normal distribution and the exponential and Poisson distributions.
You can use mathematical truths to foresee and estimate quite a bit to help make decisions to make your live better—such is the reason for quantitative analysis. Before shifting focus to other aspects of analysis for managers, there are two more probability distributions to explore. To explore them, though, first look at a certain constant: the natural logarithm e.
The Exponential Distribution
The natural logarithm e is actually about = 2.71828. It is a relationship a lot like π for circles and spheres in that e reflects how, when matched to a variable such as x, a natural logarithmic function goes to infinity as x increases, and to negative infinity as x goes to 0. For this to be true, ee = e0 = 1.
You can be as glad that someone else figured this out as you are that others figured through mathematics where e goes in probability distributions to help calculate things needed to find in two situations: where Exponential Distributions and Poisson Distributions can help us (Wolfram MathWorld, 2016).
The Exponential Distribution was developed from e to solve queuing questions, and as you see in the textbook, most often how long something or someone can receive a certain service if the business has a certain capacity. The Exponential Distribution has this formula:
F(X) = μe-μx
Where X = random variable, e.g. service times
μ = average number of units (e.g., services the facility can do in a given time)
e = natural logarithm constant = 2.718
The formula’s graph looks like this:
You may recognize the probability, which once again will be the area under the curve from one limit of X to the other, has a logarithmic range and all the probability/area under that logarithmic curve = 1.
Mathematical truths mean these equations are also true, and you can use them:
Expected value = 1/μ = e.g., average service time
Variance = 1 / μ2
This also means the probability that X is either less than or equal to a time t is:
P(X ≤ t) = 1 – e-μt
The Arnold’s Muffler example (page 49 of the textbook) was a good one of the Exponential Distribution, as it featured service times, and the question of what the probability would be of the installation of a new muffler being 0.5 hours or less was the area under the above curve from X (or t) = 0 to X (or t) = 0.5.
MSL 5080, Methods of Analysis for Business Operations 2
UNIT x STUDY GUIDE Title
You may recognize the probability, which once again will be the area under the curve from one limit of X to the other, has a logarithmic range and all the probability/area under that logarithmic curve = 1.
Mathematical truths mean these equations are also true, and you can use them:
Expected value = 1/μ = e.g., average service time
Variance = 1 / μ2
This also means the probability that X is either less than or equal to a time t is:
P(X ≤ t) = 1 – e-μt
The Arnold’s Muffler ...
Quantum phenomena modeled by interactions between many classical worldsLex Pit
Michael J. W. Hall, Dirk-André Deckert, and Howard M. Wiseman
ABSTRACT
We investigate whether quantum theory can be understood as the continuum limit of a mechanical theory, in which there is a huge, but finite, number of classical “worlds,” and quantum effects arise solely from a universal interaction between these worlds, without reference to any wave function. Here, a “world” means an entire universe with well-defined properties, determined by the classical configuration of its particles and fields. In our approach, each world evolves deterministically, probabilities arise due to ignorance as to which world a given observer occupies, and we argue that in the limit of infinitely many worlds the wave function can be recovered (as a secondary object) from the motion of these worlds. We introduce a simple model of such a “many interacting worlds” approach and show that it can reproduce some generic quantum phenomena—such as Ehrenfest’s theorem, wave packet spreading, barrier tunneling, and zero-point energy—as a direct consequence of mutual repulsion between worlds. Finally, we perform numerical simulations using our approach. We demonstrate, first, that it can be used to calculate quantum ground states, and second, that it is capable of reproducing, at least qualitatively, the double-slit interference phenomenon.
DOI: http://dx.doi.org/10.1103/PhysRevX.4.041013
MORE THAN IMPOSSIBLE: NEGATIVE AND COMPLEX PROBABILITIES AND THEIR INTERPRET...Vasil Penchev
What might mean “more than impossible”? For example, that could be what happens without any cause or that physical change which occurs without any physical force (interaction) to act. Then, the quantity of the equivalent physical force, which would cause the same effect, can serve as a measure of the complex probability.
Quantum mechanics introduces those fluctuations, the physical actions of which are commensurable with the Plank constant. They happen by themselves without any cause even in principle. Those causeless changes are both instable and extremely improbable in the world perceived by our senses immediately for the physical actions in it are much, much bigger than the Plank constant.
Richard's aventures in two entangled wonderlandsRichard Gill
Since the loophole-free Bell experiments of 2020 and the Nobel prizes in physics of 2022, critics of Bell's work have retreated to the fortress of super-determinism. Now, super-determinism is a derogatory word - it just means "determinism". Palmer, Hance and Hossenfelder argue that quantum mechanics and determinism are not incompatible, using a sophisticated mathematical construction based on a subtle thinning of allowed states and measurements in quantum mechanics, such that what is left appears to make Bell's argument fail, without altering the empirical predictions of quantum mechanics. I think however that it is a smoke screen, and the slogan "lost in math" comes to my mind. I will discuss some other recent disproofs of Bell's theorem using the language of causality based on causal graphs. Causal thinking is also central to law and justice. I will mention surprising connections to my work on serial killer nurse cases, in particular the Dutch case of Lucia de Berk and the current UK case of Lucy Letby.
Toxic effects of heavy metals : Lead and Arsenicsanjana502982
Heavy metals are naturally occuring metallic chemical elements that have relatively high density, and are toxic at even low concentrations. All toxic metals are termed as heavy metals irrespective of their atomic mass and density, eg. arsenic, lead, mercury, cadmium, thallium, chromium, etc.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
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A quantum framework for likelihood ratios
1.
A quantum framework for likelihood ratios
RACHAEL BOND
December 12th
, 2015
University of Sussex
The annual scientific meeting of the
Mathematical, Statistical, & Computing Psychology Section
of the British Psychological Society
r.l.bond@sussex.ac.uk www.rachaelbond.com
@rachael_bond rlb.me/pdf1215
4. Doherty,
Mynatt,
Tweney, &
Schiavo [1]
“An undersea explorer has found a
pot with a square base that has
been made from smooth clay.
Using the information below, you
must decide from which of two
nearby islands it came. You may
select one more piece of
information to help you make your
decision.”
Pseudo-
diagnosticity
6. Doherty,
Mynatt,
Tweney, &
Schiavo [1]
Shell Is. Coral Is.
# Finds 10 10
% Smooth 80
% Sq. base
Doherty et al. expected their
participants to select the paired
datum to the given “anchor
information” in order to calculate a
Bayes' ratio. The majority didn't.
Pseudo-
diagnosticity
8. What if all the data are known?
Shell Is. Coral Is.
# Finds (Base rate) 10 10
# Smooth clay 8 7
# Square base 6 5
9. What if all the data are known?
Base 10 10
8 7
6 5
To calculate the value
using Bayes' theorem, this
expression must be solved
However, the measures of
covariate intersection, ie.
, are unknowns.
10. What if all the data are known?
Base 10 10
8 7
6 5
Doherty et al. suggest that the
data should be treated as
conditionally independent. This
allows for a simple estimation of
from the multiplication of
marginal probabilities
11. What if all the data are known?
However, it would also be reasonable to note that the
covariate intersections form ranges:
ie.,
12. What if all the data are known?
Base 10 10
8 7
6 5
This means that it is also possible
to calculate a probability from the
mean value of these ranges:
13. What if all the data are known?
Base 10 10
8 7
6 5
Or, to take the mean value of the
minimum→maximum probability
range:
14. What if all the data are known?
Base 10 10
8 7
6 5
Other possible approaches
include regression analysis, which
would assume a low level of co-
linearity, or using an expectation-
maximisation algorithm (eg., see
Dempster, Laird, & Rubin, 1977) [2]
16. Is probability subjective?
Given the variety of probability values which may be
reasonably calculated, one may conclude that there is
no objectively correct likelihood ratio.
17. Is probability subjective?
Given the variety of probability values which may be
reasonably calculated, one may conclude that there is
no objectively correct likelihood ratio.
The subjective nature of probability has moved to the
centre of statistical research since Bruno de Finetti
claimed that “probability does not exist”.
(de Finetti, 1974) [3]
18. de Finetti's subjective
view of probability may
be found in
epistemological
research, and modern
statistics, eg., the
“quantum Bayesian”
work of Caves, Fuchs, &
Schack (2002) [4]
Bruno de Finetti (1906-1985)
19. “As far as the laws of
mathematics refer to
reality, they are not
certain; and as far as
they are certain, they do
not refer to reality.”
(Geometry & Experience,
1921)
Albert Einstein (1879-1955)
21. Describing an objective reality
(384-322 BCE) argued that “ ” is
described by the unity of form and substance:
“substance” being what something is made from,
and “form” being its innate characteristics.
Aristotle
reality
22. Describing an objective reality
(384-322 BCE) argued that “ ” is
described by the unity of form and substance:
“substance” being what something is made from,
and “form” being its innate characteristics.
In the contingency table, the “substances” (ie., the
differentiating characteristics), and their “forms” (ie.,
their values), are known. Yet an objective probability
value cannot be calculated from this description of the
table's reality.
Aristotle
reality
23. In the “ ” (1922)
Wittgenstein said that
“the world is the totality
of facts”, and that “it is
the relationship
between facts and there
being all the facts”.
Tractatus
Ludwig Wittgenstein (1889-1951)
24. Jacques Derrida believed
that the relationships
between facts can only
be discovered through a
process of
“ ”.deconstruction
Jacques Derrida (1930-2004)
26. Deconstructing the contingency table
Assuming, for the moment, the case of even base rates,
the contingency table may be deconstructed into 4
sub-contingency tables ...
8 7
6 5
8 6 7 5
27. Deconstructing the contingency table
... each of which provides two pieces of “pure”
information generated from the facts of and .
These are not logically separable.
8 7
6 5
8 6 7 5
28. Deconstructing the contingency table
While the relationships between and are
known (they are mutually exclusive), the relationships
between and cannot be stated.{
{
8 6 7 5
29. Deconstructing the contingency table
What is needed is a mathematical approach which
allows the covariate intersections to be directly
mapped to and .
30. Deconstructing the contingency table
What is needed is a mathematical approach which
allows the covariate intersections to be directly
mapped to and .
In other words, the contingency table's internal
relationships must be rewritten in a way that includes
the covariate intersections, but does not make any
structural changes. This can only be achieved by using
the mathematics of quantum mechanics.
32. There are many competing models of quantum mechanics.
Multiverse
theory
String theory
Decoherence
theory
The Copenhagen
interpretation
33. In 1935 Niels Bohr
suggested that
psychology & quantum
mechanics might be
linked, but it is only
recently that research
has been conducted in
this field.
Niels Bohr (1885-1962)
34. Quantum mechanics 101
Instead of the used in
classical statistics, quantum mechanics works in
.
joint probability spaces
vector
spaces
35. Quantum mechanics 101
Instead of the used in
classical statistics, quantum mechanics works in
.
The vectors are normalised which are
orthogonal to each other in n-dimensions.
joint probability spaces
vector
spaces
wave functions
36. Quantum mechanics 101
Instead of the used in
classical statistics, quantum mechanics works in
.
The vectors are normalised which are
orthogonal to each other in n-dimensions.
In psychology these vectors could, for instance,
represent attitudes, beliefs, or intent etc.
joint probability spaces
vector
spaces
wave functions
37. Quantum mechanics 101
Using the Dirac (1939) “ ” notation, the wave
functions are described by horizontal matrices known
as “kets”, written as
[5] bra-ket
38. Quantum mechanics 101
Using the Dirac (1939) “ ” notation, the wave
functions are described by horizontal matrices known
as “kets”, written as
Their “ ” form vertical
matrix “bras”, written as
[5] bra-ket
complex conjugate transposes
39. Quantum mechanics 101
Using the Dirac (1939) “ ” notation, the wave
functions are described by horizontal matrices known
as “kets”, written as
Their “ ” form vertical
matrix “bras”, written as
Any ket multiplied by its own bra is “ ”,
meaning that
[5] bra-ket
complex conjugate transposes
orthonormal
41. Describing the wave function
8 7
6 5
The four pieces of “pure” information may be written
as kets. The acts as a logical “AND”,
re-enforcing the inseparability of and .
tensor product
42. Describing the wave function
8 7
6 5
Each of the kets is automatically orthonormal
and forms an basis
of a .
eigenstate
Hilbert (vector) space
43. Describing the wave function
8 7
6 5
It is tempting to describe the covariate intersection as
being the simple of and .
However, this would give an expression which would
mix the whole of and the whole of .
entanglement
44. Describing the wave function
8 7
6 5
Instead we need to look at the “ ”,
which are usually interpreted as giving the
of a ket collapsing into a bra.
inner products
probability
amplitude
45. Describing the wave function
8 7
6 5
The bra can only collapse into the ket
if the inner product contains
both and . As a consequence,
the inner product is a measure of covariate overlap.
46. Describing the wave function
8 7
6 5
The reverse, complex conjugate transposed,
inner product is also true.
47. Describing the wave function
8 7
6 5
Because both inner products are real, and consistent
with the conditional independence of and ,
it follows that they also equal to each other.
48. Describing the wave function
8 7
6 5
all other bra-kets
Thus, the complete quantum contingency table
consists of 4 orthonormal kets, and 2 inner products.
It exactly matches the classical description.
49. Describing the wave function
8 7
6 5
all other bra-kets
To provide a full Hilbert space description, the inner
products must be mapped to (ie., incorporated into)
the base kets. This may be achieved using the
process (see, eg., Strang, 1980) .
Gram-
Schmidt
[6]
50. Describing the wave function
8 7
6 5
all other bra-kets
The process orthonormalizes the base
kets with respect to the inner product, and acts as a
to generate a new
of the original Hilbert space.
Gram-Schmidt
unitary operator
isomorphic
representation
51. Describing the wave function
In doing so, it returns four base kets that give a full
system description and includes the inner products.
This allows the fully normalized system wave function
to be described.
52. Describing the wave function
The correct expression for may be
found through rearrangement.
53. Describing the wave function
This expression fully generalizes, and the individual
elements may be weighted to incorporate the prior
distributions.
55. Solving the functions
There are known features of which may be used to
generate constraints. These include “data
dependence”: must be, in some way, dependent
upon the data in the table;
58. Solving the functions
“symmetry”: the exchanging of rows in the contingency
table should not affect the calculated probability
value, and if the columns are exchanged then the
values should map;
60. Solving the functions
Using these principles and constraints demonstrates
that are anti-symmetric bivariate functional
equations, to which only one solution exists.
64. The implications for psychology
“Calculating probabilities for predicting performance”
With only 10 data points in the “pot“ example, there is
not much difference between 0.5896 (QT) and 0.578
(classical Bayes' theorem) and is unlikely to affect
ordinal predictions. However, in modelling phenomena
based on thousands, or millions, of data points (eg., in
perception, memory, social learning etc.) this
difference will matter a lot more.
65. The implications for psychology
“Predicting new phenomena”
Bayesian learning lends itself to modelling systems
that develop linearly. However, humans often show
nonlinear, sometimes seemingly nondeterministic,
behaviours, such as sudden switches in strategy that
don't necessarily accord with the available data.
67. The relational information seeker
We conducted an experiment with a larger, 3x4,
contingency table, giving the participants (n=150) 5
degrees of freedom in their selections.
For the first 4 selections, the choices made followed an
information gain model, based on Shannon's entropy,
with a significance of for each choice (using
a Chi-squared test of predicted selection against
random).
68. The relational information seeker
However, the final selection demonstrated a strategy
change towards “weak” information. This suggests that
the search process only follows information theory in-
so-far as it is required to identify the diagnostically
important relationships.
69. The relational information seeker
However, the final selection demonstrated a strategy
change towards “weak” information. This suggests that
the search processonly follows information theory in-
so-far as it is required to identify the diagnostically
important relationships.
This is not the same as mental model building. Rather,
information search refines the mental representation
created by the question.
70. The relational information seeker
It is unclear as to whether these relationships are
classical, or quantum, in nature.
72. Conclusions
Any full description of objective reality may have to
include mathematical concepts that only exist in
quantum mechanics.
73. Conclusions
Any full description of objective reality may have to
include mathematical concepts that only exist in
quantum mechanics.
Quantum mechanics can describe models, and provide
solutions to them, which lie beyond the scope of
classical mathematics.
74. Conclusions
Any full description of objective reality may have to
include mathematical concepts that only exist in
quantum mechanics.
Quantum mechanics can describe models, and provide
solutions to them, which lie beyond the scope of
classical mathematics.
Bayes' theorem is a special case of a more general,
quantum mechanical expression.
75. Download this presentation from
http://rlb.me/pdf1215
RACHAEL BOND
University of Sussex
PROFESSOR TOM ORMEROD
University of Sussex
PROFESSOR YANG-HUI HE
City University; Nankai University;
Merton college, Oxford University
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10.1016/0001-6918(79)90017-9
[2] Dempster, A.P., Laird, N.M., & Rubin, D.B. (1977). Maximum likelihood
from incomplete data via the EM algorithm. Journal of the Royal
Statistical Society. Series B (Statistical Methodology), vol. 39(1), pp. 1-38.
[3] de Finetti, B. (1974). Theory of probability: A critical introductory
treatment. New York, New York: Wiley.
[4] Caves, C.M., Fuchs, C.A., & Schack, R. (2002). Unknown quantum states:
The quantum de Finetti representation. Journal of Mathematical
Physics, vol. 43(9), pp. 4537-4559. doi: 10.1063/1.1494475
[5] Dirac, P.A.M. (1939). A new notation for quantum mechanics.
Mathematical Proceedings of the Cambridge Philosophical Society, vol.
35(03), pp. 416-418. doi: 10.1017/S0305004100021162
[6] Strang, G. (1980). Linear algebra and its applications (2nd ed.). New
York, New York: Academic Press.