Since it is late in the evening and I have nothing better todo, I am going to give you some background on the idea ofconsidering the state vector of a system.First, a very light version:Lets imagine some friends hanging out and talking. They hangout together every day, and like to talk about each other.What are they going to talk about? They are going to talk aboutthe new things that have happened, about who had had whathappen to them.Now imagine that one of them is brushing their teeth everysingle day. They all talk about this every day, but aftera while, they realize there is really nothing new about it,and they cease talking about it. They cease talking about itbecause there is no new information, there is only repetition.Now imagine another one of the friends gets up and puts aball on the putting green every day. They talk about himputting, but after a while lose interest in the fact that heis there in the first place, they start talking about if hesank his put. They cease talking aboutthe action, and start talking about the outcome. They talkabout that which is unknown. They talk about that which mayor may not be. They don't talk about what is, unless it isin the context of how it might change.In short, they like to talk about that which has a probabilisticoutcome, and do not talk about that which is a definitiveabsolute. This is because information is about the unknown,it is not about the known. Second, a moderately strong version:Let us imagine a large domino chain set up on a table. Thedomino chain is very intricate and complex, looping around onitself with lots of interesting patterns. We will simplifyhow they fall and claim they fall in a completely deterministic manner.Now a person walks up to the domino chain and possibly tapson the lead domino. They may or may not push this domino over.This system as a whole is in one of a few states: standing up,in the process of falling over, or already pushed over.We can imagine looking at the collapsed set of dominos, andconsidering that it is a very complex arrangement. However,they actually only contain 1 piece of information from the point where they were already set up- was the lead domino knocked over, or not?Thus, a very intricate system (the domino setup) which responds in a very complex way can actually only represent a very smallamount of potentially introduced information. A small bitof information creates an apparent lot of information, simplybecause the initial conditions allow this magnification to occur. In reality it is not a lot of new information- it isonly a single bit.Now for a stronger version:If we examine any system, we can ask "how informed is thissystem?". The answer is "It is informed to the degree thatits state is improbable"Let us ask this of a physical system "How informed is thissystem?". The answer is "it is informed to the degree that itsstate is improbable." Now for some almost tautological remarks:Communication is about the transferring of information. It is, in essence, the flow of improbability through a system. Wecan talk about information flow within a conversation, and we can talk about information flow within a physical system. This may seem a bit absurd, for how can we completely quanity the nature of improbability of a conversation? We can't, but we do know that we act and speak in a physical system, using physical particles.Is there any physical system for which we completelyunderstand the interactions of the components on an atomic and subatomic level? Only in highly idealized simulations of perhaps a hydrogen atom. This does not detract from the reality that we can consider a physical system as having a probability of being in a state. It will always be, necessarily, an estimation unless we work with an abstract mathematical model which is highly simplifed.
Best Of |
Favorites & Replies |
Start a New Board |
My Fool |
BATS data provided in real-time. NYSE, NASDAQ and NYSEMKT data delayed 15 minutes.
Real-Time prices provided by BATS. Market data provided by Interactive Data.
Company fundamental data provided by Morningstar. Earnings Estimates, Analyst Ra