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現代数学の系譜 工学物理雑談 古典ガロア理論も読む46 (692レス)
現代数学の系譜 工学物理雑談 古典ガロア理論も読む46 http://rio2016.5ch.net/test/read.cgi/math/1510442940/
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481: 現代数学の系譜 雑談 古典ガロア理論も読む ◆e.a0E5TtKE [sage] 2017/11/22(水) 19:18:43.01 ID:mEHYOxL2 >>480 つづき Nevertheless, we choose this presentation because we find it the most interesting, as well as pedagogically useful. For instance, “predicting the present” is a very natural way to think of the problem of guessing the value of f (t) based on f |(?∞, t). 2. THE μ-STRATEGY. (詳細は略すので、原文ご参照。ここに引用するには、数学記号が複雑過ぎるので。) P92 3. PREDICTING THE PRESENT. (詳細は略すので、原文ご参照。ここに引用するには、数学記号が複雑過ぎるので。) Corollary 3.4. If T = R and ∇ is <, then W0 is countable, has measure 0, and is nowhere dense. What Corollary 3.4 tells us is that, if we model the universe as a function from the real numbers into some set of states, then the μ-strategy will correctly predict the present from the past on a set of full measure. (In the following section, we show that, on a set of full measure, it correctly predicts some of the future as well.) Note that these results concerning T = R are also valid when T is any interval of reals. One needs to be cautious about interpreting this as meaning that the μ-strategy is correct with probability 1. For a fixed true scenario, if one randomly selects an instant t in the interval [0,1] (or in R, under a suitable probability distribution), then Corollary 3.4 does tell us that the μ-strategy will be correct at t with probability 1. However, if one fixes the instant t, and randomly selects a true scenario, then the probability that the μ-strategy is correct at t under that scenario might be 0 or might not even exist, depending on how one defines the notion of a random scenario. P95 W = {t ∈ R | the μ-strategy does not guess well at t }. Theorem 5.1. The set W is countable, has measure 0, and is nowhere dense. つづく http://rio2016.5ch.net/test/read.cgi/math/1510442940/481
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