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Science Forum Index » Physics - Research Forum » resonance states of the neutron
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| Chris H. Fleming... |
Posted: Fri Jun 13, 2008 9:10 am |
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On Jun 11, 12:22 pm, guille2306 <guille2... at (no spam) gmail.com> wrote:
Quote: On Jun 10, 1:52 pm, "Nicolaas Vroom" <nicolaas.vr... at (no spam) pandora.be
wrote:
I have a problem in understanding the difference between
deterministic verus non-deterministic as axplained in the following url:http://en.wikipedia.org/wiki/Deterministic_system_%28philosophy%29
Are the following examples deterministic yes or no:
1. The movement of a round rubber ball with a certain weight,
dropped 1 meter above the centre of a round table.
After a couple of bounces the ball will come to rest at the centre
of the round table.
2. The same as #1 but the ball (same weight) has the same of an
american football.
The ball will not come to rest at the center of the table.
3. The same as #2 but the ball has the shape of a dice
4. The same as #1 but the ball (same weight) is made from glass.
The ball will come to rest, but not at the centre of the table.
5. The movement of the comet Schumacher Levy from just
before its break up into its 20 fragments, until each of those
fragments collided with the planet Jupiter.
IMO non of those examples is deterministic, but that opinion
is in conflict with the information in Wikipedia.
Nicolaas Vroomhttp://users.pandora.be/nicvroom/
Any classical system (i.e., where quantum mechanics plays no role) is
deterministic. Given the equations of evolution and the exact initial
conditions, you can predict exactly the evolution of the system. Of
course there will be problems: maybe you don't know the exact
equations or it is not possible to solve them in a reasonable time
(because of their complexity), and most probably you only have an
approximation of the initial conditions (which is specially bad in
chaotic systems). All of your examples (taken only as classical
systems and forgetting about QM) fall in one of those categories: for
example, even for a perfectly rigid "dice ball" on a perfectly rigid
flat surface, the rest position will depend strongly of the angle
between the first corner to hit the surface and the surface itself.
But, if you repeat the experiment with exactly the same initial
conditions, the ball will do exactly the same. It is, as stated in the
Wikipedia article, a matter of philosophy: you can't predict the
result for practical reasons, but it is predictable in theory.
When quantum mechanics enters the picture things change completely.
Even in theory, if you know the exact initial condition, the most you
can do is predict probabilities for the different results. But here I
have my own question to anyone: we can (in theory) predict the exact
evolution of the wave function of the system, does that means that
system is deterministic, or we should only apply the word
"deterministic" to systems where we can predict the result of the
measurement? I think that the second is the most correct approach, but
I would like to know if there is any consensus about this.
Guillermo
Given a Hamiltonian, the evolution of the wavefunction is
deterministic. The question is, is it appropriate to model the
universe as a wavefunction evolving in accord with a Hamiltonian, e.g.
the Wheeler-DeWitt equation. In which case, the statistical
interpretation of the wavefunction must arise perhaps as a kind of
open-system approximation.
I do not believe there is any consensus on this matter, nor should
there be given a lack of empirical evidence one way or the other.
Quantum noise is as random as can be measured and I do not think that
a deterministic open-system model could predict anything measurably
different given that Avogadro's number is so overwhelmingly large. |
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| Lou Pecora... |
Posted: Fri Jun 13, 2008 9:10 am |
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In article <485245A0.5000007 at (no spam) univie.ac.at>,
Arnold Neumaier <Arnold.Neumaier at (no spam) univie.ac.at> wrote:
Quote: guille2306 wrote:
Any classical system (i.e., where quantum mechanics plays no role) is
deterministic.
This is far from the truth.
There are plenty of classical systems described by stochastic
differential equations, the simplest being Brownian motion.
Deterministic classical systems are only a convenient approximation
to the more realistic stochastic case.
For example, a deterministic damped harmonic oscillator is obtained
from a stochstic damped harmonic oscillator by completely ignoring
the damping mechanism.
Arnold Neumaier
This will get you into the argument about what is "noise". Signals from
other, deterministic systems? Is the overall system, including the
noise sources, then deterministic? The idea of noise is a convenient,
modeling approach to dealing with complex external forcing. The usual
view of non-quantum physics is that when you put it all together the
whole system is deterministic, energy-conserving, etc.
--
-- Lou Pecora |
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| Ian Parker... |
Posted: Fri Jun 13, 2008 12:34 pm |
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On 13 Jun, 19:40, Arnold Neumaier <Arnold.Neuma... at (no spam) univie.ac.at>
wrote:
Quote: Lou Pecora wrote:
Don't confuse difficulty in prediction, which is what you are saying,
with determinism. Chaotic systems are deterministic. Many can be
modeled well with differential equations which are deterministic.
Not many, but all.
By definition, a chaotic system is a system governed by an ordinary
differential equation which exhibits a specific form of sensitive
dependence on initial conditions. Such systems are therefore always
deterministic.
A pencil balanced on its point is not a chaotic system, although it is a
deterministic system.
A pencil balanced on its point is not a deterministic system,
although one can consider deterministic approximate models for it.
In that case it is chaotic, once you include forces on its point,
which are always present for a real pencil.
However, there is always some modeling error, which is not just
uncertainty in a constant, but uncertainties changing unpredictably
at each instant of time. Thus it must be modelled by a stochastic
term.
Of course, the uncertainty ultimately stems from quantum mechanics,
since a pencil balanced on its point is of course nothing but a
large quantum system.
I think I can say something a little bit more. We can tie in
determinism to entropy and information theory. Let us for the sake of
argument start at a point ð aray from somewhere. Now let me take, let
me see 200 decimal places (not exactly ð) and make a prediction. It
will be as if I had ð exactly for a finite length of time. If I take
200 more my prediction will last longer.
Do you all see what is happenning? I am trading prediction time for
decimal places. I can state the entropy of ð as being the number of
decimal places I have. Hence although my system obeys deterministic
equations, it is indeterminate and the actions of stating ð to the
required number of decimal places and the actions of "tweaking" the
system when it is running involve the same information content. This
is what I mean by indeterminate.
Of course quantum theory puts a strict limit on the accuracy of any
measurement, but I still think it is important to look at the
behaviour of dynamical systems without the Q word.
- Ian Parker |
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| Nicolaas Vroom... |
Posted: Sat Jun 14, 2008 1:44 am |
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"Arnold Neumaier" <Arnold.Neumaier at (no spam) univie.ac.at> schreef in bericht
news:4852AB71.8020203 at (no spam) univie.ac.at...
Quote: Lou Pecora wrote:
Don't confuse difficulty in prediction, which is what you are saying,
with determinism. Chaotic systems are deterministic. Many can be
modeled well with differential equations which are deterministic.
Not many, but all.
By definition, a chaotic system is a system governed by an ordinary
differential equation which exhibits a specific form of sensitive
dependence on initial conditions. Such systems are therefore always
deterministic.
There are differential equations which show chaotic behaviour.
Such equations you can call/could determistic.
The question is are there systems which are correctly described
by those equations. IMO only by approximation.
It is not only that the equation is not perfect, a different problem
is the parameter values. Also those are only known by approximation.
As such does it make sense to call those systems deterministic ?
What make sense is to find the equations, the parameters
and the boundary conditions that better describe these systems.
In many cases many systems are unique.
They are there only once.
Huricanes, Tornados, Earthquakes, Tsunamies
Do we know the equations that describe those systems ?
Only by approximation.
Do we no the parameters of the equations ?
Only by approximation.
Does it makes sense to call these systems/process deterministic ?
Quote: A pencil balanced on its point is not a chaotic system, although it is a
deterministic system.
A pencil balanced on its point is not a deterministic system,
although one can consider deterministic approximate models for it.
In that case it is chaotic, once you include forces on its point,
which are always present for a real pencil.
If you place a pencil on its point it will always fall down.
(except etc)
To which side is completely random.
If that is what you mean I agree it is not deterministic.
Quote: However, there is always some modeling error, which is not just
uncertainty in a constant, but uncertainties changing unpredictably
at each instant of time.
That is correct.
IMO that is the case with each process.
Specific with Huricanes, Tornados, Earthquakes, Tsunamies
IMO that makes each non-deterministic
I prefer the term unpredictable.
Quote: Thus it must be modelled by a stochastic term.
Can you give an example.
Quote: Of course, the uncertainty ultimately stems from quantum mechanics,
since a pencil balanced on its point is of course nothing but a
large quantum system.
The uncertainty in eartquakes comes because we do not know
what happens internally in our earth at almost any scale.
(The same with the sun spots on the sun)
Nicolaas Vroom
http://users.pandora.be/nicvroom/ |
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| Tom Roberts... |
Posted: Sat Jun 14, 2008 1:45 am |
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guille2306 wrote:
I essentially agree with all you said, but I advocate a different
terminology. I think the basic problem is a category error in the words
used, starting with the subject of this thread: "Deterministic systems".
AFAIK there is no system in the world we inhabit that is deterministic
(meaning EXACTLY deterministic). Indeed, I doubt very much that the
adjective "deterministic" can sensibly apply to any real system.
Including even such simple systems as a pool cue for which
that end moves when I push on this end -- there is a minuscule
but nonzero chance that a thunderbolt out of the blue will
split the cue between push and movement. This is obviously an
artificial example to illustrate the basic point: in the real
world you NEVER know enough about the initial conditions to
obtain true determinism.
But "deterministic" does apply to our MODELS of many systems. Classical
mechanics is a theory that provides a framework for constructing
deterministic models of many systems of interest. Such models are always
deterministic IN PRINCIPLE, but applying the model to a real system
invariably reduces that to an approximation. For pulleys and inclined
planes that approximation is excellent, but in the case of chaotic
systems the approximation of determinism might be valid only for an
extremely short time interval.
So, for instance, a classical model of a pencil standing on its point is
deterministic. Ditto for a classical model of thrown dice. But upon
examination one finds that such classical models are inadequate to
predict the actual outcomes of real pencils or dice, because QM
inherently poses limits on the specification of the initial conditions
that are large enough to spoil the approximation of determinism for the
time scales on which we typically observe such systems (but for a few
microseconds that approximation is quite good ).
In short: it is important to not confuse the model with the system being
modeled. The former can be deterministic, but the latter cannot.
Tom Roberts |
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| Chris H. Fleming... |
Posted: Sat Jun 14, 2008 1:45 am |
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On Jun 13, 10:28 am, Arnold Neumaier <Arnold.Neuma... at (no spam) univie.ac.at>
wrote:
Quote: guille2306 wrote:
Any classical system (i.e., where quantum mechanics plays no role) is
deterministic.
This is far from the truth.
There are plenty of classical systems described by stochastic
differential equations, the simplest being Brownian motion.
Deterministic classical systems are only a convenient approximation
to the more realistic stochastic case.
For example, a deterministic damped harmonic oscillator is obtained
from a stochstic damped harmonic oscillator by completely ignoring
the damping mechanism.
Arnold Neumaier
You are correct in that there are classical models which are
stochastic and not deterministic.
But I can go one further. The damped harmonic oscillator with noise is
obtained by considering the the deterministic dynamics of the system &
environment and then averaging out the environmental degrees of
freedom. In quantum mechanics, the result is the HPZ master equation
(for a environment which also consists of oscillators).
So it can be said that the stochastic damped harmonic oscillator is
yet another idealization which ignores the atomic (and very well
deterministic) causes of its dissipation and fluctuations.
The brilliance of Einstein's derivation of the classical diffusion
relation was that it implied atomic causes to Brownian motion. This
was before atomic theory was as accepted as it is now. Einstein
provided a prediction that could be validated by experiment. This was
a small part of the determination of Avogadro's number. |
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| Nicolaas Vroom... |
Posted: Sat Jun 14, 2008 4:42 am |
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"Phil scadden" <p.scadden at (no spam) _no_spam_gns.cri.nz> schreef in bericht
news:g2s8hv$uhs$1 at (no spam) lust.ihug.co.nz...
Quote: Do you consider all those systems deterministic ?
Just dont confuse "deterministic" with "predictable"
--
The question is what does each mean.
IMO predictability of a system comes as a value between 0 and 1
with 1 meaning that the system (outcome) is highly predictable
and 0 that the system (outcome) is unpredictable
Highly predictable means that you can predict with great precision
the future behaviour of a system.
That means that the difference between actual behaviour
and calculated behaviour at a future moment tf is small.
For an unpredictable system this difference is large.
In order to calculate the future of a system you need
1. A mathematical model of the system
2. Time series of the measurements of the variables of the system
starting at t0 until tn
3. A computer program.
This mathematical model includes
1. A set of differential equations as a function of the variables.
2. Parameters
3. Constraints.
The computer program consists of two parts:
First you calculate the parameters and initial conditions at t0
(based on the measurements)
Secondly you calculate the variables starting from t0 until tf.
Finally you compare the calculate values at tf with the measured
values at tf.
That means you calculate an overall error:
Abs(Measured Value-Calculated Value)/Measured Value
When the error is zero your system is highly predictable.
When the error is one your system is highly unpredictable.
The most obvious way to improve your prediction
is to modify the differential equations.
In the case of our solar system
the variables are the positions of the Sun and the planets.
the parameters are the masses of the Sun and the planets.
the equations are either Newton's Law or GR
Deterministic if I follow the most used opinion
comes only in two flavours:
A system is either determistic or not.
Determistic are all non-quantum systems.
Not Determistic are all quantum systems.
Even writing this e-mail is considered deterministic.
IMO this opinion is highly related to what is called
Laplace's Demon. See:
http://en.wikipedia.org/wiki/Laplace's_demon
General speaking this theory states:
That if you know all forces and positions of all
items you can calculate the future of all items.
In casu all is deterministic.
With all meaning the whole universe.
With items meaning each star and each atom
With calculate meaning Newton's Law.
IMO this is only a theory
it can never be proved
and it is not practical.
Nicolaas Vroom
http://users.pandora.be/nicvroom/ |
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| Lou Pecora... |
Posted: Sun Jun 15, 2008 4:29 am |
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In article <4852AB71.8020203 at (no spam) univie.ac.at>,
Arnold Neumaier <Arnold.Neumaier at (no spam) univie.ac.at> wrote:
Quote: Lou Pecora wrote:
Don't confuse difficulty in prediction, which is what you are saying,
with determinism. Chaotic systems are deterministic. Many can be
modeled well with differential equations which are deterministic.
Not many, but all.
By definition, a chaotic system is a system governed by an ordinary
differential equation which exhibits a specific form of sensitive
dependence on initial conditions. Such systems are therefore always
deterministic.
Not quite right. A chaotic system is a dynamical system in which at
least one Lyapunov exponent is positive. That opens it up to ODEs, PDEs,
Delay DEs, maps, and perhaps more. It's not limited to ODEs.
Quote:
A pencil balanced on its point is not a chaotic system, although it is a
deterministic system.
A pencil balanced on its point is not a deterministic system,
although one can consider deterministic approximate models for it.
In that case it is chaotic, once you include forces on its point,
which are always present for a real pencil.
Too vague. A classical model of a pencil balance on point under the
influence of gravity is an ODE system. Without friction it may be
chaotic if you allow bouncing from the table supporting it. With
friction it will probably be a fixed point attractor. Not chaotic. It
depends on how you are modeling it. Including other forces then opens
it up to being anything. That's too vague. I was assuming classical
models with no other things added. That's deterministic.
Quote:
However, there is always some modeling error, which is not just
uncertainty in a constant, but uncertainties changing unpredictably
at each instant of time. Thus it must be modelled by a stochastic
term.
Or a deterministic term that takes into account *all* the other systems
interacting with the pencil. But this is not the point of this
discussion. You can always add other forces to change the system.
Quote:
Of course, the uncertainty ultimately stems from quantum mechanics,
since a pencil balanced on its point is of course nothing but a
large quantum system.
I think everyone agrees with that, but that's not the point of the
discussion. That' another issue.
--
-- Lou Pecora |
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| Nicolaas Vroom... |
Posted: Sun Jun 15, 2008 9:01 am |
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"Lou Pecora" <pecora at (no spam) anvil.nrl.navy.mil> schreef in bericht
news:pecora-89F83B.10195713062008 at (no spam) ra.nrl.navy.mil...
Quote: Is a computer deterministic?
Yes
Only in the sense that on the same computer every time when
you run the same program the same answer appears,
assuming that as part of program execution no human being is involved.
When you play the game of Golf on a computer, the program
becomes non-deterministic in the sense that every time
when you play the same game you get a different result.
Quote: You have remarked a few times that
things are only deterministic on a computer. But a computer is a
physical system. Is it deterministic?
When you consider a computer as a physical system
at electron level as soon as you turn the machine different
electrons are involved. You can call that non-deterministic
but it has no practical value.
A much more interesting question is if a Q computer
is a determistic system in the sense that every time
when you run the same program you get the same
result.
If I am correct the answer is NO.
If that is correct than the question becomes how often
do you have to run the same program in order to be sure
(99% confidence) that you have the correct answer.
May be this also depends about the type of problem
to be solved.
Quote: Think that through.
Nicolaas Vroom
http://users.pandora.be/nicvroom/ |
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| Nicolaas Vroom... |
Posted: Tue Jun 17, 2008 8:41 pm |
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"Tom Roberts" <tjroberts137 at (no spam) sbcglobal.net> schreef in bericht
news:_4H4k.13867$co7.6919 at (no spam) nlpi066.nbdc.sbc.com...
Quote: guille2306 wrote:
[...]
I essentially agree with all you said, but I advocate a different
terminology. I think the basic problem is a category error in the words
used, starting with the subject of this thread: "Deterministic systems".
AFAIK there is no system in the world we inhabit that is deterministic
(meaning EXACTLY deterministic). Indeed, I doubt very much that the
adjective "deterministic" can sensibly apply to any real system.
Accordingly to Webster deterministic means: relating to or implying
determinism
Determinism means: (1b) the theory that all occurences in nature
are determined by antecedent causes or take place in accordance
with natural laws - called also cosmological determinism.
Quote: Including even such simple systems as a pool cue for which
that end moves when I push on this end -- there is a minuscule
but nonzero chance that a thunderbolt out of the blue will
split the cue between push and movement. This is obviously an
artificial example to illustrate the basic point: in the real
world you NEVER know enough about the initial conditions to
obtain true determinism.
Initial conditions is only one part of the problem.
For a small set of problems they are not important.
If you draw a ball in a bolar hat, it comes always at rest at the bottom.
Quote: But "deterministic" does apply to our MODELS of many systems. Classical
mechanics is a theory that provides a framework for constructing
deterministic models of many systems of interest. Such models are always
deterministic IN PRINCIPLE,
Models = mathematical equations are deterministic by definition ?
but applying the model to a real system
invariably reduces that to an approximation.
That is correct. This is the second part of the problem.
But there are more:
The parameters of your equations.
The boundary conditions.
The measurements of the variables.
The measurements in the past are important to calculate the parameters
and initial conditions as accurate as possible.
In effect this is an iterative process dependent about your model
and best estimates of the parameters and initial conditions.
(If you change from Newton to GR you have to start all over in
calculating the masses of the objects involved)
Quote: For pulleys and inclined
planes that approximation is excellent, but in the case of chaotic
systems the approximation of determinism might be valid only for an
extremely short time interval.
So, for instance, a classical model of a pencil standing on its point is
deterministic. Ditto for a classical model of thrown dice. But upon
examination one finds that such classical models are inadequate to
predict the actual outcomes of real pencils or dice, because QM
inherently poses limits on the specification of the initial conditions
that are large enough to spoil the approximation of determinism for the
time scales on which we typically observe such systems (but for a few
microseconds that approximation is quite good  ).
IMO in general at a scale much larger than atoms and molecules
you have a problem of predicting the outcome of an experiment
or (natural) process with a certain accuracy.
Quote: In short: it is important to not confuse the model with the system being
modeled. The former can be deterministic, but the latter cannot.
Tom Roberts
Nicolaas Vroom
http://users.pandora.be/nicvroom/ |
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| Lou Pecora... |
Posted: Tue Jun 17, 2008 8:41 pm |
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In article <TB75k.77674$yb3.5535 at (no spam) newsfe18.ams2>,
"Nicolaas Vroom" <nicolaas.vroom at (no spam) pandora.be> wrote:
Quote: "Lou Pecora" <pecora at (no spam) anvil.nrl.navy.mil> schreef in bericht
news:pecora-89F83B.10195713062008 at (no spam) ra.nrl.navy.mil...
Is a computer deterministic?
Yes
Why?
Only in the sense that on the same computer every time when
you run the same program the same answer appears,
assuming that as part of program execution no human being is involved.
When you play the game of Golf on a computer, the program
becomes non-deterministic in the sense that every time
when you play the same game you get a different result.
On the same computer the same program will generate the same answer
almost every time. I think the OP has opened up the very interesting
question about how we label a physical system according to the the model
of the system we choose. That's at the heart of this discussion. You
call the computer deterministic because the model of the system is
deterministic. Indeed, the engineering of a computer is carefully done
to make sure the machine states are reproducible given the same initial
conditions (programs, memeory, etc.). This is so successful that we
assume the computer is the ultimate deterministic systems sometimes.
But we are really thinking more of the model than the system. I think
that mixing of the physical system and model accounts for most of the
posts in this thread. And most of the misunderstanding of the OP.
It all leaves me thinking a bit more about how we categorize things by
their model's behavior.
--
-- Lou Pecora |
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| Nicolaas Vroom... |
Posted: Tue Jun 24, 2008 8:07 pm |
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[Moderator's note: Lines reformatted to make them shorter. Although 80
is a maximum to enable nice display on almost all terminals, it's better
to keep your own, original, unquoted text in posts at 72 characters per
line or less, to enable it to be quoted a couple of times and still keep
things at less than 80 characters per line total. Also, don't use more
than 2 characters (including space) for a quote symbol. -P.H.]
"Lou Pecora" <pecora at (no spam) anvil.nrl.navy.mil> schreef in bericht
news:pecora-FE644D.11182716062008 at (no spam) ra.nrl.navy.mil...
Quote: On the same computer the same program will generate the same answer
almost every time. I think the OP has opened up the very interesting
question about how we label a physical system according to the the model
of the system we choose. That's at the heart of this discussion.
The heart of the discussion is if you can describe the total physical
univerese in all its complexities, stuctures and beauties in a
mathematical language by mathematical equations accurately. IMO this is
not possible in principle nor in practice. Computers have nothing to do
with this issue. You could also raise a similar question: Is it possible
to describe the total universe by physical laws and or by laws of
nature. IMO the answer is NO.
What we can do is to describe a certain number of phenomena in
mathematical language under certain conditions. Newton's Law works well
for the movement of sperical objects with constant mass. As soon this is
not the case you have a problem. Our earth is not spherical and what
makes it even more difficult is that its mass distribution is not
constant i.e. the tides. You have to take that into account. All the
planets have a different composition. There are no laws which describe
those. Our earth is part solid part fluid, which constituents influence
each other. Also here there are no laws which describe this evolution
nor for example when earthquakes arise and their strength
The surface of the earth is of specific complexity and beauty. Here we
have plants, flowers and life. What we can do is to describe those
different life forms, how they looked and when they first appeared and
disappeared. We can also describe how they evolved one out of the other
and why during the different era, but there is no way to actual predict
this evolution starting some where in the past nor to predict what will
happen in the future given the current situation. The reason is simple:
we do not know enough (and we will never do)
Quote: You call the computer deterministic because the model of the system is
deterministic.
To call the "model" of the system determistic is a misnomer. The same if
you call the mathemics in order to describe the behaviour:
deterministic. The word determistic has no added value in those
circumstances.
Anyway this is not the issue. The issue is can we describe all systems
(the evolution of the total world) by mathematical equations
accuratelly. The answer is no
Pierre Simon Laplace was very much involved with the movement of the
planets. He confirmed that this motion could very well be calculated by
applying Newton's Law. In his view there is order in the planets and in
the total Universe. As such the Universe is determistic.
But is this reasoning correct if you consider all the complexities at
different scales finally going down to the level of electrons and
protons ? IMO the answer is no. You cannot describe all the details of
the Universe including the behaviour of humans by applying Newton's Law,
even stronger you cannot describe it by any form of mathematics.
Nicolaas Vroom
http://users.pandora.be/nicvroom/ |
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| guille2306... |
Posted: Thu Jun 26, 2008 10:20 am |
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On Jun 25, 3:07 am, "Nicolaas Vroom" <nicolaas.vr... at (no spam) pandora.be>
wrote:
Quote: Anyway this is not the issue. The issue is can we describe all systems
(the evolution of the total world) by mathematical equations
accuratelly. The answer is no
Pierre Simon Laplace was very much involved with the movement of the
planets. He confirmed that this motion could very well be calculated by
applying Newton's Law. In his view there is order in the planets and in
the total Universe. As such the Universe is determistic.
But is this reasoning correct if you consider all the complexities at
different scales finally going down to the level of electrons and
protons ? IMO the answer is no. You cannot describe all the details of
the Universe including the behaviour of humans by applying Newton's Law,
even stronger you cannot describe it by any form of mathematics.
Nicolaas Vroomhttp://users.pandora.be/nicvroom/
OK, now I'm getting what you meant. Your first question ("Are these
system deterministic?") was too general. Now you have reformulated it
into "Can we totally describe the Universe through deterministic
models?" IMHO, those two question are different and that's why you got
two distinct group of answers here. For the second, I agree with you: in
practice there is no way that we could describe all the details of the
Universe, symply because there are too much details...
But, the "in principle" part implied in the first question is another
matter. Is a matter of faith: I believe that, in principle, the
equations are there and we only can try to make better aproximations
each time, but at the end the Universe is deterministic (except for my
discussion on QM in a previous post). You believe the contrary. It's
fine: there is no way that we can probe one or the other, as both agree
that "in practice" it's impossible to write the correct equations...
Guillermo |
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| Nicolaas Vroom... |
Posted: Wed Jul 02, 2008 10:18 am |
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"guille2306" <guille2306 at (no spam) gmail.com> schreef in bericht
news:85f55a01-e03d-4e6b-8a23-dc8594e284b4 at (no spam) b1g2000hsg.googlegroups.com...
Quote: On Jun 25, 3:07 am, "Nicolaas Vroom" <nicolaas.vr... at (no spam) pandora.be
wrote:
Anyway this is not the issue. The issue is can we describe all
systems (the evolution of the total world) by mathematical
equations accuratelly. The answer is no
Pierre Simon Laplace was very much involved with the
movement of the planets. He confirmed that this motion
could very well be calculated by applying Newton's Law.
In his view there is order in the planets and in
the total Universe. As such the Universe is determistic.
But is this reasoning correct if you consider all the complexities
at different scales finally going down to the level of electrons and
protons ? IMO the answer is no.
You cannot describe all the details of the Universe including
the behaviour of humans by applying Newton's Law,
even stronger you cannot describe it by any form of mathematics.
OK, now I'm getting what you meant. Your first question ("Are these
system deterministic?") was too general. Now you have reformulated it
into "Can we totally describe the Universe through deterministic
models?" IMHO, those two question are different and that's why you got
two distinct group of answers here. For the second, I agree with you: in
practice there is no way that we could describe all the details of the
Universe, symply because there are too much details...
In the document
http://math.ucr.edu/home/baez/physics/Relativity/SR/mass.html
under discussion in the thread
"New version of"Does mass increase with speed?" FAQ"
we read: "The very fact that we can describe Nature using
mathematics is a deep and mysterious thing."
The problem is we cannot.
We can only describe parts of Nature by mathematics
with a limitted accuracy.
(As such "you" can remove the words deep and mysterious)
Certain parts better: the movement of the planets.
Certain parts poorly: the falling of a leaf.
You can call the movement of the planets deterministic
but IMO this is not appropiate in the case of leaves.
Not in practice nor in principle.
The reason "quatum mechanics" is too simple.
To say that we cannot predict the stock market
because of quatum mechanics is IMO wrong.
Nicolaas Vroom http://users.pandora.be/nicvroom/ |
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