Advance Notification: I am moving the location of the Blog

I will move to blog.pispacephysicstheory.com

This blog has served me well but I'll move over to a fresh one which is wordpress based shortly.

I won't move the current contents.  They will stay where they are for as long as the hosting is here.

I want to try posts which are not just cut'n'paste images and I want to have proper categories for the posts and stuff like that.

Next Topics

Dirac Delta Function
QM States

Once I do these, I'll update the PDF

Dirac QM Ket Vector In Pi-Space

I'll do a write up at the weekend

I'll cover the last topic mentioned.

After that, I'll cover the Dirac Delta Function.

Next QM Topic

Ket Vectors

Dirac QM Notation In Pi-Space

Note: The Diameter is the “Probability Amplitude” and the Area is the “Probability”.  We get to the Probability by Squaring the Amplitudes aka Diameters.

Little Delay QM this week

Little delay this week.  Hoping to have the QM post early this week.

Dirac QM this weekend

I will do my first post on Dirac QM this weekend and set the scene for the geometric meaning of the existing notation developed by PAM Dirac.

I will build from there.  From what I see it's reasonably straightforward.

Simulating Gravity In Pi-Space On a Computer

The model for Gravity in Pi-Space is pretty straight-forward.  We have a Local Layer and we have a Non-Local layer.  The Non-Local layer contains field points which are smaller than the Planck length.  Therefore we need a software solution which models 3D space having Non Local Pi-Shells which are smaller than Local ones.  In a simulation, they do not need to be smaller than the Planck length but they do need to be smaller than the local Pi-Shells and they need to create a 3d Fabric.  The Local Pi-Shells then move towards the place where the Non Local Pi-Shells are the smallest.  They also change the size of the Local Pi-Shells.  Smaller Pi-Shells are designed to move faster.  They need to also store a vector component.   

For example, if we model any object in the simulation, we need to assign Pi-Shells to it.  For computational efficiency on a weak computer, we make the Local Pi-Shells reasonably large.  For a powerful computer we can make them smaller.  Therefore the object contains these Local Pi-Shells and they influence the direction it moves in and how it reacts to gravity.  In reality, the Atoms do this job and everything is mostly contained by them; so they are one and the same thing.  On a computer system where we have limited processing power, we need to be judicious what size local Pi-Shell we pick.  Therefore we may have an object containing a limited number of them but spanning and containing the object.

In terms of specifics, copying Earth gravity for example, all one needs to do is ensure that the Non Local Field Points  get smaller (lose area) in the direction of COG by 9.8/C^2 for every Meter we move in the direction of the centre of Gravity.

If we take an example of a cube of Field Point space we can make the Field points smaller as we move to the base of the object.  Therefore it we place an object inside this Field Point space, it will move down to the base of the object, accelerating as it moves down.

It does this by becoming slightly smaller.  The constant area change translates into an increased velocity and should match what happens in reality. 

We can also give the Local Pi-Shells their own clock tick which is proportional to the diameter size and then we have the equivalent of Proper Time.

Over The Weekend

Over the weekend I will write up a simple post on how to model Gravity as described in Pi-Space on a computer system.  This will be different than the Orbits piece as I will describe placing Objects inside Pi-Space so-to-speak.

///Note: I am working on cleanup on another project so this is just a small filler before I tackle QM Proper///

The idea is that using Pi-Space we can create some kind of a Physics engine it should be "relatively easy" to model some of the more complex things in our reality such as throwing things up in the air and making objects stick to a surface, or even having an apple drop from a tree onto an avatar's head... :-)

I will also cover the EM piece as well showing how that can be jointly modeled.

Once I reverse engineer physics, the next big topic as I see it is Computer Simulations.

3d Modeling Idea and other thoughts

In parallel, I'll try to see if I can find a tool to model some of these Pi-Shell ideas in a Virtual 3D environment which can be moved around.  I'll look at some of the tools out there.  This is more of a longer term idea.

NOTE: I'm happy with Mathematica for the formula examples where it makes sense.  So nothing will change there.  I'd like to take better advantage of the in-built browser support for formulas so I don't have to cut'n'paste images.

After clean-up Dirac

I will start explaining Dirac's notation shortly now that the clean-up is done.

To do this I want to produce a simple drawing of a Probability Pi-Shell and explain geometrically how this relates to <a*|b|a> which is one of the most well used notations.

There's also the Schrodinger and Heisenberg versions but first Dirac.

Cleanup / Improvement of the Documents

I've figured out how to insert a Table of Content in each sub document as part of a Master Document.

Moving forward, I will update each document to have its own Table of Contents.

To be honest it's something that always bugged me about the docs so for me doing this is a high priority.

The first one to have a TOC is the Advanced Quantum doc.  (Nerdy) Yah!!!

CURRENT DONE LIST

Advanced Quantum Theory
Introduction to the Theory
Quantum Theory
Temperature and Super Conductivity
Advanced Formulas
Orbits
Gravity
More on Gravity
Newton's Laws

***DONE***

Other pieces are the 'Skunk works' ***DONE***

Fix up Formulas to include all Formulas in index. ***DONE***

Thoughts on Modelling an Oscillating Probability Pi-Shell In Pi-Space

In QM we'll use the -kx formulation for an oscillating probability wave function.  In Pi-Space, we'll have an oscillating Probability Pi-Shell and we'll use the Pi-Space formula for this which was derived in the Advanced Quantum Doc.

versus

Updates to PDF and HTML

Added "Field Points and Probability Pi-Shells" to the "Fields and General Relativity" Doc.

I am still researching QM.  Will be a small while before I do a post.

Videos and Wave within Wave

I've a couple more videos to go through.

Also, I've been thinking about the math of the wave within wave and it's mostly the addition of wave functions.

So, I am visualizing a model something like

LocalWaveModel + NonLocalWaveModel = Wave within Wave (see Advanced Quantum)

This is an extension of the Dirac/Schrodinger approach where we can model Mass as an Inner Wave (Non Local Wave Function) in addition to the particle on the line so to speak. (Local Wave Function which is a Hamiltonian/Other acting on a Schrodinger Wave Function).

Mixtures of Cos/Sine give the exponent formulation.

I'll formalize this later but this will be the Pi-Space approach.

This should be very compatible with what is already there.

Changed my mind on the Cleanup

I will rename the chapter instead of reworking it, having read through it.

It will be "Quantum Theory Intro, Hydrodynamics and Navier Stokes."

***Done***

Clean up of Fluid Dynamics / Navier Stokes

At present, the Fluid Dynamics piece including Navier Stokes is inside the Quantum Theory doc which is not correct.  Before I add anything new to the Theory I want to clean this up and create a standalone doc for Fluid Dynamics / Navier Stokes.

I'll call it "Fluid Dynamics including Navier Stokes".

Next Piece - Scale and Field Point Changes

I'd like to try and explain why sub-atomic particles are influenced more by small fluctations in the Field Points compared with the Classic Pi-Shells next.

Once I do this, I will start the work on Dirac/QM.

I may watch a couple more videos on his work but so far it looks ok.

Field Points versus Probability Pi-Shells in Pi-Space

So far in GR, we have Field Points and in QM we have Probability Pi-Shells.

These are two representations of the same things.

The Probability Pi-Shell, like the Field points form the fabric of Space Time.  Therefore they are both smaller than the Planck Length.

In GR we model them getting smaller as one moves toward the center of gravity.

In GR in terms of measurement, we represent the Field Points altering the size of the Classic Pi-Shell which is typically modeled as an atom.

The Metric is the area size to the atom in terms of an area change relative to an observer.

Proper Time is the diameter change relative to an observer.

So GR mainly focuses on how relatively large “local” Pi-Shells move through the Field Points which form Space Time.

Next we deal with Probability Pi-Shells which deals with how the Field Points themselves change size.  This is different from GR where we measure the changes to the Classic Pi-Shells moving through Field Point Space Time.

Here we need to work out the changes to the sizes of the Field Points themselves.

As I’ve shown already, we cannot measure them using current technology so we use a predictive mechanism using probabilities.  As I’ve already shown, the higher the probability, the smaller the Field Point can become.

Just like in GR, any quantum particle moving through this Field Point Space Time, will follow the path of Least time which means it moves towards the Field Points which are the smallest.

The field points also oscillate which means that they change size due to their interaction with wave functions which are modeled in QM.

Note that in GR, one does not need to model the size change of the field points, all one must do is model the change to the area of the moving Pi-Shell or the change to its area as it moves within this field.  This therefore maps to the Potential.  This is outlined in the Classic Gravity sections.  Also, like QM, the Geodesic is the Path of Least Time for a Classic Pi-Shell so the two approaches are the same.