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Response to the FQXi RFP: Agency in the Physical World

P. Cameron, Michaele Suisse

Published Feb 1, 2018• 0 citations
OpenAlex

Abstract

To bring scientific rigor to FQXi challenges[1] is the greatest challenge. Given the diverse community and vexing manner in which our organizers delight in framing issues, prevalent absence of rigor follows. Yet a substantial subset of the community is comprised of physicists, with no obvious tightening there of reason’s web. We have two immediate interests. First is to make our work accessible to larger communities, to focus on the theoretical minimum, on quantum interpretations as applied to the geometric wavefunction, to express geometric wavefunction physics in languages of most closely related disciplines. To function as interpreters[11]. Second is quantum impedance matching in nanoelectonics, beyond scale invariant quantum Hall impedance of vector Lorentz forces to those associated with all forces and their potentials. It appears the present status in that community is black art. Nobody knows what they’re doing. Impedance governs amplitude and phase of energy flow. One has to quantum impedance match if one wants to quantum compute effectively. This is just common sense.

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Various scientific disciplines, including biometrics, chemometrics, psychometrics, and econometrics, share a deep connection with statistics but often employ specialized applications. Effective communication across these interdisciplinary boundaries necessitates a common language, and mathematics serves as a universal bridge among the natural sciences. This article centers on the language of mathematics and its role in scientific modeling. The thesis posited here is that mathematical models should be formulated in a manner comprehensible, with some effort, to serious researchers across all disciplines, despite potential cultural barriers. The notion of "understanding" is multifaceted, exemplified by the enigmatic realm of quantum mechanics. While quantum theory is traditionally presented in an abstract language that facilitates calculations, its interpretation remains contentious, posing challenges for researchers outside the physics domain. Notably, quantum mechanics was initially expressed in distinct languages—Schrödinger's wave mechanics and Heisenberg's matrix mechanics—before being mathematically unified. This unification yielded a mathematically elegant yet conceptually intricate theory, accompanied by over 16 partially conflicting interpretations. In the works of Helland (2021) and Helland (2022a), a novel foundation is proposed, potentially more accessible to researchers beyond the quantum community. It introduces conceptual variables denoted as θ, emerging from inquiries like "What will θ be if measured?" Particularly in the discrete case, often central in textbooks and research, precise responses in the form of "θ = u" can be obtained.

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Quantum Physics and Nuclear Engineering

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The conference brings together researchers working on mathematical foundations of quantum physics, quantum computing, and related areas, with a focus on structural perspectives and the use of logical tools, ordered algebraic and category-theoretic structures, formal languages, semantically methods, and other computer science techniques applied to the study of physical behaviour in general. Work that applies structures and methods inspired by quantum theory to other fields (including computer science) is also welcome. With members from around the world focused on Quantum physics and Nuclear Engineering this is your best opportunity to reach the largest assemblage of participants from the universities, colleges, research centres, societies, institutions, labs, associations, communities and companies etc. We want to make a worldwide meet in which data between researchers from the different controls can be effectively traded. The explanation behind bringing the general population at the meetings together is to catalyse empowering trades and connections between experts in different fields, from physical science to engineering. It will make new interdisciplinary systems and permit members to trade know-how and data to accomplish speedier and better results.

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Towards a General Operational and Realistic Framework for Quantum Mechanics and Relativity Theory

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The frontiers collection•Jan 1, 2005•23 citations

Introduction

James Robert Brown

Feynman diagrams have fascinated physicists and philosophers since they were introduced to the world about 70 years ago. Clearly, they help in calculation; they have allowed nearly impossible problems to be solved with relative ease. This is agreed by all, but that is probably where the consensus ends. Are they pictures of physical processes? Are they just devices for keeping track of mathematical formulae, that do the real work? Are they some sort of mix of both?They are almost as famous as representations of the Bohr atom, even though most people could not give even a sketchy account of what they do. In spite of this they have taken on a role as a cultural icon. Feynman used them to decorate his own van (Fig. 1). The van was even used in an episode of the popular TV series The Big Bang Theory. They have been used as art work in everything from posters, to coffee mugs, to wallpaper. But none of this is particularly helpful in understanding how they work.If we ask working physicists who use Feynman diagrams what it is they are doing, we get a variety of responses. One is puzzlement; a shrug of indifference. Even those very skilled at using Feynman diagrams might be hard pressed to explain (to a philosopher’s satisfaction) what’s happening. After all, most of us can ride a bike but would be similarly hard pressed to explain in any detail what we’re doing. A more common response might go like this: The diagram, or series of diagrams, is a schematic picture of some physical process, say, two electrons interacting, which we then link to mathematical terms. After writing out the mathematical terms in the form of a series, we calculate and get the probability of an interaction happening. This sounds good initially, but runs into trouble when we ask what a “picture of a physical process” could mean? This is, after all, the quantum world where things do not move continuously through space and time. It seems doubtful the diagrams could be diagrams of things in the physical realm. They are connected to physical reality and they are connected to wonderfully accurate predictions. And yet, mystery remains.The following articles on Feynman diagrams address several timely issues, both historical and contemporary. These are metaphysical and epistemological questions related to models and how we represent the world. The papers are united by these themes, but otherwise are independent of one another. They are arranged alphabetically and can be read in any order.James Robert Brown, “How Do Feynman Diagrams Work?” takes the view that they are not representations or models of the world at all. Like others, he stresses that they cannot be pictures of reality, since, thanks to the Heisenberg relations, there can be no such thing as a trajectory. Rather than seek some other more abstract type of representation, he introduces a distinction between descriptive and prescriptive flow charts. The latter could be a representation of physical reality, but not the former. A prescriptive flow chart is more like a recipe to bake a cake. He takes Feynman diagrams to be this sort of thing.Mauro Dorato and Emanuele Rossanese, “The Nature of Representation in Feynman Diagrams,” also reject the idea that Feynman diagrams can be considered to be pictures or depictions of actual physical processes. But unlike Brown, they do not abandon the thought that they can be models in some sense. They appeal to a famous account by RIG Hughes, known as the Denotation, Deduction, and Interpretation theory of models, where “models” are to be interpreted as merely inferential, non-representational devices constructed in given social contexts by the community of physicists.Letitia Meynell, “Picturing Feynman Diagrams and the Epistemology of Understanding,” assumes that Feynman diagrams are pictorial representations but agrees with Brown and Dorato and Rossanese that they do not represent actual physical processes. She then takes up the following puzzle: If Feynman diagrams represent states of affairs, but do not do so truthfully, what can their epistemic value be? She argues that Feynman diagrams have been epistemically powerful (at least in part) because, as pictorial representations, they facilitate an understanding of QED, and particle physics more generally. Appealing to Feynman’s own remarks, she draws out what it might mean to have an understanding of something that is not factive. Although her approach allows for a thin sense of substantively non-factive epistemic success, it is continuous with a factive sense of understanding that is more familiar in the sciences.Michael Stöltzner, “Feynman Diagrams: Modeling between Physics and Mathematics,” analyzes Feynman diagrams within the context of recent debates about models in science and against the backdrop of other diagrammatic methods in mathematical physics when dealing with infinite or asymptotic series. This allows one to avoid the dichotomy of whether Feynman diagrams represent mathematical or physical objects, or a mere tool mediating between them. Along those lines one does not, however, obtain a universal answer to the question as to what Feynman diagrams represent. A single Feynman diagram, in actual scientific practice, can stand for a single mathematical expression or for a physical phenomenon depending on whether the diagram stands for a single term in an infinite series or for a subseries that is given a physical interpretation. Stöltzner’s reading of the representation problem also derives support from the historical fact that Feynman was initially motivated by the Breit-Schrödinger model of a quivering electron and from interpreting this model within the context of stochastic processes.Adrian Wüthrich, “The Exigencies of War and the Stink of a Theoretical Problem,” approaches these topics from an historian’s point of view, shedding light on the issues by focussing on debates in this historical context. As he put it in his subtitle, Wüthrich’s aim is to understand the genesis of Feynman’s electrodynamics as mechanistic modelling at different levels. Feynman’s idiosyncratic method of dealing with quantum electrodynamic phenomena has been cast as an instance of a non-rigorous, modular and rule-based style of theorizing. Given such a characterization, it seems natural that significant changes in Feynman’s style were triggered by work he was assigned during World War II, where quick fixes may have counted more than derivations from first principles. Indeed, Feynman’s theoretical proposals of an improved electrodynamics do bear traces of Feynman’s war-related work, which immediately preceded it. However, Wüthrich explains, the attempt to apply the vocabulary of the “new mechanistic philosophy” to lesser known pieces of archival evidence brings to the fore a new kind of shift in Feynman’s style. Feynman’s disposition for such a shift may also have been fostered during the war, but it was forced upon him by a specific theoretical difficulty, which was largely unrelated to his war-time research.These articles contain some technicalities, but they should all be sufficiently accessible to general readers who would like to know more about Feynman diagrams and how they relate to theories, models, mathematics, and the world. The best philosophy of science is intimately linked to and draws upon current science and its history. It pays close attention to details: the details of theorizing, the details of models and how they function, the details of experimentation and measurement, and so on. We hope this collection of five articles on Feynman diagrams, by focussing closely on detail, will contribute to a better understanding of these strange but highly productive ciphers and symbols.

Perspectives on Science•Jul 31, 2018•1 citation

A Relativistic Algebraic Approach to the Q/C Interface: Implications for “Quantum Reality”

W. E. Baylis

Advances in Applied Clifford Algebras•Apr 21, 2008•5 citations
To bring scientific rigor to FQXi challenges[1] is the greatest challenge. Given the diverse community and vexing manner in which our organizers delight in framing issues, prevalent absence of rigor follows. Yet a substantial subset of the community is comprised of physicists, with no obvious tightening there of reason’s web. We have two immediate interests. First is to make our work accessible to larger communities, to focus on the theoretical minimum, on quantum interpretations as applied to the geometric wavefunction, to express geometric wavefunction physics in languages of most closely related disciplines. To function as interpreters[11]. Second is quantum impedance matching in nanoelectonics, beyond scale invariant quantum Hall impedance of vector Lorentz forces to those associated with all forces and their potentials. It appears the present status in that community is black art. Nobody knows what they’re doing. Impedance governs amplitude and phase of energy flow. One has to quantum impedance match if one wants to quantum compute effectively. This is just common sense.
Various scientific disciplines, including biometrics, chemometrics, psychometrics, and econometrics, share a deep connection with statistics but often employ specialized applications. Effective communication across these interdisciplinary boundaries necessitates a common language, and mathematics serves as a universal bridge among the natural sciences. This article centers on the language of mathematics and its role in scientific modeling. The thesis posited here is that mathematical models should be formulated in a manner comprehensible, with some effort, to serious researchers across all disciplines, despite potential cultural barriers. The notion of "understanding" is multifaceted, exemplified by the enigmatic realm of quantum mechanics. While quantum theory is traditionally presented in an abstract language that facilitates calculations, its interpretation remains contentious, posing challenges for researchers outside the physics domain. Notably, quantum mechanics was initially expressed in distinct languages—Schrödinger's wave mechanics and Heisenberg's matrix mechanics—before being mathematically unified. This unification yielded a mathematically elegant yet conceptually intricate theory, accompanied by over 16 partially conflicting interpretations. In the works of Helland (2021) and Helland (2022a), a novel foundation is proposed, potentially more accessible to researchers beyond the quantum community. It introduces conceptual variables denoted as θ, emerging from inquiries like "What will θ be if measured?" Particularly in the discrete case, often central in textbooks and research, precise responses in the form of "θ = u" can be obtained.
The conference brings together researchers working on mathematical foundations of quantum physics, quantum computing, and related areas, with a focus on structural perspectives and the use of logical tools, ordered algebraic and category-theoretic structures, formal languages, semantically methods, and other computer science techniques applied to the study of physical behaviour in general. Work that applies structures and methods inspired by quantum theory to other fields (including computer science) is also welcome. With members from around the world focused on Quantum physics and Nuclear Engineering this is your best opportunity to reach the largest assemblage of participants from the universities, colleges, research centres, societies, institutions, labs, associations, communities and companies etc. We want to make a worldwide meet in which data between researchers from the different controls can be effectively traded. The explanation behind bringing the general population at the meetings together is to catalyse empowering trades and connections between experts in different fields, from physical science to engineering. It will make new interdisciplinary systems and permit members to trade know-how and data to accomplish speedier and better results.
Feynman diagrams have fascinated physicists and philosophers since they were introduced to the world about 70 years ago. Clearly, they help in calculation; they have allowed nearly impossible problems to be solved with relative ease. This is agreed by all, but that is probably where the consensus ends. Are they pictures of physical processes? Are they just devices for keeping track of mathematical formulae, that do the real work? Are they some sort of mix of both?They are almost as famous as representations of the Bohr atom, even though most people could not give even a sketchy account of what they do. In spite of this they have taken on a role as a cultural icon. Feynman used them to decorate his own van (Fig. 1). The van was even used in an episode of the popular TV series The Big Bang Theory. They have been used as art work in everything from posters, to coffee mugs, to wallpaper. But none of this is particularly helpful in understanding how they work.If we ask working physicists who use Feynman diagrams what it is they are doing, we get a variety of responses. One is puzzlement; a shrug of indifference. Even those very skilled at using Feynman diagrams might be hard pressed to explain (to a philosopher’s satisfaction) what’s happening. After all, most of us can ride a bike but would be similarly hard pressed to explain in any detail what we’re doing. A more common response might go like this: The diagram, or series of diagrams, is a schematic picture of some physical process, say, two electrons interacting, which we then link to mathematical terms. After writing out the mathematical terms in the form of a series, we calculate and get the probability of an interaction happening. This sounds good initially, but runs into trouble when we ask what a “picture of a physical process” could mean? This is, after all, the quantum world where things do not move continuously through space and time. It seems doubtful the diagrams could be diagrams of things in the physical realm. They are connected to physical reality and they are connected to wonderfully accurate predictions. And yet, mystery remains.The following articles on Feynman diagrams address several timely issues, both historical and contemporary. These are metaphysical and epistemological questions related to models and how we represent the world. The papers are united by these themes, but otherwise are independent of one another. They are arranged alphabetically and can be read in any order.James Robert Brown, “How Do Feynman Diagrams Work?” takes the view that they are not representations or models of the world at all. Like others, he stresses that they cannot be pictures of reality, since, thanks to the Heisenberg relations, there can be no such thing as a trajectory. Rather than seek some other more abstract type of representation, he introduces a distinction between descriptive and prescriptive flow charts. The latter could be a representation of physical reality, but not the former. A prescriptive flow chart is more like a recipe to bake a cake. He takes Feynman diagrams to be this sort of thing.Mauro Dorato and Emanuele Rossanese, “The Nature of Representation in Feynman Diagrams,” also reject the idea that Feynman diagrams can be considered to be pictures or depictions of actual physical processes. But unlike Brown, they do not abandon the thought that they can be models in some sense. They appeal to a famous account by RIG Hughes, known as the Denotation, Deduction, and Interpretation theory of models, where “models” are to be interpreted as merely inferential, non-representational devices constructed in given social contexts by the community of physicists.Letitia Meynell, “Picturing Feynman Diagrams and the Epistemology of Understanding,” assumes that Feynman diagrams are pictorial representations but agrees with Brown and Dorato and Rossanese that they do not represent actual physical processes. She then takes up the following puzzle: If Feynman diagrams represent states of affairs, but do not do so truthfully, what can their epistemic value be? She argues that Feynman diagrams have been epistemically powerful (at least in part) because, as pictorial representations, they facilitate an understanding of QED, and particle physics more generally. Appealing to Feynman’s own remarks, she draws out what it might mean to have an understanding of something that is not factive. Although her approach allows for a thin sense of substantively non-factive epistemic success, it is continuous with a factive sense of understanding that is more familiar in the sciences.Michael Stöltzner, “Feynman Diagrams: Modeling between Physics and Mathematics,” analyzes Feynman diagrams within the context of recent debates about models in science and against the backdrop of other diagrammatic methods in mathematical physics when dealing with infinite or asymptotic series. This allows one to avoid the dichotomy of whether Feynman diagrams represent mathematical or physical objects, or a mere tool mediating between them. Along those lines one does not, however, obtain a universal answer to the question as to what Feynman diagrams represent. A single Feynman diagram, in actual scientific practice, can stand for a single mathematical expression or for a physical phenomenon depending on whether the diagram stands for a single term in an infinite series or for a subseries that is given a physical interpretation. Stöltzner’s reading of the representation problem also derives support from the historical fact that Feynman was initially motivated by the Breit-Schrödinger model of a quivering electron and from interpreting this model within the context of stochastic processes.Adrian Wüthrich, “The Exigencies of War and the Stink of a Theoretical Problem,” approaches these topics from an historian’s point of view, shedding light on the issues by focussing on debates in this historical context. As he put it in his subtitle, Wüthrich’s aim is to understand the genesis of Feynman’s electrodynamics as mechanistic modelling at different levels. Feynman’s idiosyncratic method of dealing with quantum electrodynamic phenomena has been cast as an instance of a non-rigorous, modular and rule-based style of theorizing. Given such a characterization, it seems natural that significant changes in Feynman’s style were triggered by work he was assigned during World War II, where quick fixes may have counted more than derivations from first principles. Indeed, Feynman’s theoretical proposals of an improved electrodynamics do bear traces of Feynman’s war-related work, which immediately preceded it. However, Wüthrich explains, the attempt to apply the vocabulary of the “new mechanistic philosophy” to lesser known pieces of archival evidence brings to the fore a new kind of shift in Feynman’s style. Feynman’s disposition for such a shift may also have been fostered during the war, but it was forced upon him by a specific theoretical difficulty, which was largely unrelated to his war-time research.These articles contain some technicalities, but they should all be sufficiently accessible to general readers who would like to know more about Feynman diagrams and how they relate to theories, models, mathematics, and the world. The best philosophy of science is intimately linked to and draws upon current science and its history. It pays close attention to details: the details of theorizing, the details of models and how they function, the details of experimentation and measurement, and so on. We hope this collection of five articles on Feynman diagrams, by focussing closely on detail, will contribute to a better understanding of these strange but highly productive ciphers and symbols.