The Unification of Symmetry and Conservation

Slides:



Advertisements
Similar presentations
Zooming in on Probability and Causality (aim & preliminary results)
Advertisements

Quantum One: Lecture 1a Entitled So what is quantum mechanics, anyway?
Week 11 Review: Statistical Model A statistical model for some data is a set of distributions, one of which corresponds to the true unknown distribution.
Introduction to Hypothesis Testing Chapter 8. Applying what we know: inferential statistics z-scores + probability distribution of sample means HYPOTHESIS.
Copyright © Cengage Learning. All rights reserved.
Bounds on Code Length Theorem: Let l ∗ 1, l ∗ 2,..., l ∗ m be optimal codeword lengths for a source distribution p and a D-ary alphabet, and let L ∗ be.
Theories and Models SNC2D. Theories and Models: Daily Learning Goal The student will be able to differentiate between scientific laws and scientific theories.
Chemistry Chapter 1 and Chapter 2. Introduction to Chemistry Chapter 1.
Wavefunction Quantum mechanics acknowledges the wave-particle duality of matter by supposing that, rather than traveling along a definite path, a particle.
Quantum fermions from classical statistics. quantum mechanics can be described by classical statistics !
Geometric Approaches to Reconstructing Time Series Data Final Presentation 10 May 2007 CSC/Math 870 Computational Discrete Geometry Connie Phong.
PHY 042: Electricity and Magnetism Introduction Prof. Pierre-Hugues Beauchemin.
A prediction or a forecast is a statement about the way things will happen in the future, often but not always based on experience or knowledge. While.
PHYS 3313 – Section 001 Lecture #17
POSC 202A: Lecture 1 Introductions Syllabus R Homework #1: Get R installed on your laptop; read chapters 1-2 in Daalgard, 1 in Zuur, See syllabus for Moore.
Fundamentals of Data Analysis Lecture 4 Testing of statistical hypotheses.
On Bridging Simulation and Formal Verification Eugene Goldberg Cadence Research Labs (USA) VMCAI-2008, San Francisco, USA.
Summary: Isolated Systems, Temperature, Free Energy Zhiyan Wei ES 241: Advanced Elasticity 5/20/2009.
New Bulgarian University 9th International Summer School in Cognitive Science Simplicity as a Fundamental Cognitive Principle Nick Chater Institute for.
PHYSICS: About Science What is the definition of SCIENCE? Science is the study of unanswered questions about nature and the universe. Science is sometimes.
MAGNETOSTATIK Ampere’s Law Of Force; Magnetic Flux Density; Lorentz Force; Biot-savart Law; Applications Of Ampere’s Law In Integral Form; Vector Magnetic.
1-5: Postulates and Theorems relating Points, Lines, and Planes.
L.I. Petrova “Specific features of differential equations of mathematical physics.” Investigation of the equations of mathematical physics with the help.
Cyclic Groups (9/25) Definition. A group G is called cyclic if there exists an element a in G such that G =  a . That is, every element of G can be written.
The Nature of Science Introductory Microbiology. What does Science mean to you?
Automation, robotics, brains, and a new theory of Physics Sergio Pissanetzky 1.
Copyright © 2011 by The McGraw-Hill Companies, Inc. All rights reserved. McGraw-Hill/Irwin Developing and Evaluating Theories of Behavior.
Bayesian Classification. Bayesian Classification: Why? A statistical classifier: performs probabilistic prediction, i.e., predicts class membership probabilities.
Lecture PowerPoint Slides Basic Practice of Statistics 7 th Edition.
Processes of Science. Designing an Experiment Typically begins with observations that lead to a question Tests a hypothesis (prediction) Collect information.
Chemistry Chapter 01 Chemistry and You. Part 01 Chemistry and the Scientific Method pages 3-13.
Academic Research Academic Research Dr Kishor Bhanushali M
Lecture V Probability theory. Lecture questions Classical definition of probability Frequency probability Discrete variable and probability distribution.
Basic Principles (continuation) 1. A Quantitative Measure of Information As we already have realized, when a statistical experiment has n eqiuprobable.
Causality, symmetry, brain, evolution, DNA, and a new theory of Physics Sergio Pissanetzky 1.
The Matrix Theory of Objects An Update Sergio Pissanetzky Model Universality Behavior Constraints Dynamics Cost Chaos Attractors.
Experimentation in Computer Science (Part 2). Experimentation in Software Engineering --- Outline  Empirical Strategies  Measurement  Experiment Process.
PHY 520 Introduction Christopher Crawford
Machine Learning in Practice Lecture 5 Carolyn Penstein Rosé Language Technologies Institute/ Human-Computer Interaction Institute.
Recapitulation! Statistics 515. What Have We Covered? Elements Variables and Populations Parameters Samples Sample Statistics Population Distributions.
Science Words. Scientific Inquiry The ways scientists study the natural world and propose explanations based on gathered evidence.
Science: A Way of Knowing Chapter 1 Great Idea: Science is a way of asking and answering questions about the physical universe.
What is Science? SECTION 1.1. What Is Science and Is Not  Scientific ideas are open to testing, discussion, and revision  Science is an organize way.
Optimization of Nonlinear Singularly Perturbed Systems with Hypersphere Control Restriction A.I. Kalinin and J.O. Grudo Belarusian State University, Minsk,
The Process of Conducting Research. What is a theory? a set of general principles that explains the how and why of phenomena. Theories are not directly.
THINKING LIKE A SCIENTIST. HOW GOOD SCIENCE IS CONDUCTED We use the Scientific Method to solve scientific problems.
MA354 Math Modeling Introduction. Outline A. Three Course Objectives 1. Model literacy: understanding a typical model description 2. Model Analysis 3.
An Introduction to Scientific Research Methods in Geography Chapter 2: Fundamental Research Concepts.
What’s it all about Alfie? Scientific tools and the scientific method Scientific tools and the scientific method What is chemistry? What is chemistry?
Fundamentals of Data Analysis Lecture 4 Testing of statistical hypotheses pt.1.
Topic I: Quantum theory Chapter 7 Introduction to Quantum Theory.
THE SCIENTIFIC METHOD Murtaugh 1A Living Environment.
What is Mathematics? The science (or art?) that deals with numbers, quantities, shapes, patterns and measurement An abstract symbolic communication system.
Quantum mechanics from classical statistics
Quantum One.
Adaptive Systems and Analyst-independent technologies
A. inference B. prediction C. Scientific law D. scientific theory
Quantum One.
Quantum One. Quantum One So what is quantum mechanics, anyway?
Developing and Evaluating Theories of Behavior
منهج البحث العلمي ( Scientific Research Method )
PHYSICS: About Science
Scientific Inquiry Chapter 1, Lesson 3.
Scientific Models in Astronomy
Quantum computation with classical bits
Key Science Terminology
Total Energy is Conserved.
EQ: What is the goal of science?
Hypothesis The initial building block in the scientific method. Many describe it as an “educated guess,” based on prior knowledge and observation. 
Hypothesis, Theories, & Laws Variables & Controls
Presentation transcript:

The Unification of Symmetry and Conservation 1 The Unification of Symmetry and Conservation Sergio Pissanetzky

The Unification of Symmetry and Conservation – Sergio Pissanetzky 2 THE THEORY I propose a new Theory of Mechanics. One fundamental principle: Causality. One postulate: the action functional. Discrete, scale free. Describes the system in “high resolution.” The granularity of description is adjustable. There are no assumptions of smoothness. Applies to all dynamical systems.

The Unification of Symmetry and Conservation – Sergio Pissanetzky 3 PLACING THE THEORY E B F A C G D H Statistical methods: probabilities. Differential methods: smoothness. Causal Mechanics is general.

The Unification of Symmetry and Conservation – Sergio Pissanetzky 4 MODEL The model is a causal set. If not familiar with causal sets think of a computer program. The action functional is the metric for causal sets. System specified by variables, states, transitions, trajectories: variables  elements transitions  causal relations trajectories  legal permutations However, the transition probabilities are irrelevant.

The Unification of Symmetry and Conservation – Sergio Pissanetzky 5 PRINCIPLE OF SYMMETRY A causal set always has a symmetry of the action. The symmetry is represented by the legal permutations. A causal set always has a conservation law. A causal set always has a conserved quantity. Hence, the principle of symmetry follows from causality. All conserved quantities are determined by the theory.

The Unification of Symmetry and Conservation – Sergio Pissanetzky 6 PRINCIPLE OF LEAST-ACTION The action functional is the natural metric of causal sets. The action depends on the trajectory. The trajectory is represented by a permutation. The subset of least-action permutations is a grupoid. The grupoid has a group-theoretical block system. The block system is the unique conserved quantity. Hence, least-action also follows from causality.

The Unification of Symmetry and Conservation – Sergio Pissanetzky 7 PREDICTIONS The theory applies to all systems, even the brain. In 2011, I predicted optimally short dendritic trees in the mammalian brain. At that time a non-optimal 4/3 power law was accepted. In 2012, Cuntz proposed a 2/3 optimally short power law. Hence, the prediction is confirmed. This is a major success for the theory. The theory also applies in Physics. Predicted Noether’s theorem as a particular case of the theory. Already proved a small part of Noether’s theorem.

The Unification of Symmetry and Conservation – Sergio Pissanetzky 8 FEATURES This theory has exceptional features. It is simple, elegant, and general. Has only one principle and one postulate. Does not divide Physics into micro/macro scales. Does not divide Physics into simple/complex systems. No limit in the granularity of the description. Infinitely many conserved quantities, all computable. Satisfies Smolin rules for a scientific theory. Is confirmable, falsifiable, and the hypothesis are the simplest among theories.

The theory of Causal Mechanics The Unification of Symmetry and Conservation – Sergio Pissanetzky 9 I call this theory: The theory of Causal Mechanics Sergio@SciControls.com www.SciControls.com