Zero-One Laws: Examples of Measurable Events w/ Probability 0 or 1

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In summary, there are various zero-one laws, such as Kolmogorov's, that determine the probability of certain measurable events in a given context. One example is the probability of an infinite cluster in a 3-dimensional cubic grid, which can be either 0 or 1 based on the probability of deleting edges. Another example is in physics, where hidden variable controversies suggest that correlations cannot be probabilistic if there is a case of exact correlation. However, the exact probability for these examples is currently unknown.
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There are various zero-one laws (e.g. Kolmogorov's) that assure us that certain measurable events have probability zero or one in a given context.

Does anybody know any good examples of events (preferably "naturally" occurring elsewhere in math) which are covered by such a theorem, but for which it's currently an open question whether the probability is zero or one?
 
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http://mathoverflow.net/questions/2...e-law-gives-probability-0-or-1-but-hard-to-de

A simple example: consider the 3-dimensional cubic grid, and connect each point to the 6 adjacent ones by edges. Then delete each edge with probability p.

Define a "cluster" to be a connected component of the resulting graph.

Let f(p) be the probability that there exists an infinite cluster. By the zero-one law, f(p) is either 0 or 1, since the existence of an infinite cluster does not depend on the edges in any finite box. Also, it should be clear that increasing p cannot increase the probability of an infinite cluster, so that f is nonincreasing. Therefore, the only question is at which critical probability f switches from 1 to 0. The exact value is unknown (though there are good estimates).
 
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Any others?
 

What are some examples of events with a probability of either 0 or 1?

Examples of events with a probability of either 0 or 1 include flipping a coin and getting either heads or tails, rolling a die and getting a specific number, or drawing a card from a deck and getting a specific suit. These events have a deterministic outcome and therefore have a probability of either 0 or 1.

Why are events with a probability of 0 or 1 important in statistics?

Events with a probability of 0 or 1 are important in statistics because they are considered certain or impossible. This allows us to make accurate predictions and draw meaningful conclusions from data. Additionally, they serve as a basis for many mathematical and statistical concepts, such as the law of large numbers and the central limit theorem.

Can events with a probability of 0 or 1 change?

No, events with a probability of 0 or 1 cannot change. These events have a deterministic outcome and therefore their probability remains constant. However, our knowledge of the event may change, leading to a different perception of its probability.

How do zero-one laws impact decision making?

Zero-one laws impact decision making by providing a framework for understanding the certainty or impossibility of events. This allows us to make informed decisions and take appropriate actions based on the probability of an event. Additionally, it can help us identify and avoid potential biases or misunderstandings in our decision making process.

Are there any real-life applications of zero-one laws?

Yes, zero-one laws have various real-life applications in fields such as finance, medicine, and engineering. For example, in finance, understanding the probability of certain events (e.g. stock market crashes) with a probability of 0 or 1 can help investors make strategic decisions. In medicine, zero-one laws can be used to determine the effectiveness of a treatment or diagnosis. In engineering, zero-one laws can be applied to determine the reliability of a system or design.

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