The Observer Strikes Back

J. Hartle, T. Hertog
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引用次数: 11

Abstract

In the modern quantum mechanics of cosmology observers are physical systems within the universe. They have no preferred role in the formulation of the theory nor in its predictions of third person probabilities of what occurs. However, observers return to importance for the prediction of first person probabilities for what we observe of the universe: What is most probable to be observed is not necessarily what is most probable to occur. This essay reviews the basic framework for the computation of first person probabilities in quantum cosmology starting with an analysis of very simple models. It is shown that anthropic selection is automatic in this framework, because there is no probability for us to observe what is where we cannot exist. First person probabilities generally favor larger universes resulting from inflation where there are more places for us to be. In very large universes it is probable that our observational situation is duplicated elsewhere. The calculation of first person probabilities then requires a specification of whether our particular situation is assumed to be typical of all the others. It is the combination of the model of the observational situation, including this typicality assumption, and the third person theory which is tested by observation. We conclude with a discussion of the first person predictions of cosmological observables such as the cosmological constant and features of the primordial density fluctuations, in the no-boundary quantum state of the universe and a dynamical theory in which these are allowed to vary.
观察者反击
在现代宇宙学的量子力学中,观察者是宇宙中的物理系统。它们在理论的表述和对第三人称事件概率的预测中都没有优先考虑的作用。然而,对于我们所观察到的宇宙的第一人称概率的预测,观察者的重要性又回来了:最可能被观察到的并不一定是最可能发生的。本文回顾了量子宇宙学中第一人称概率计算的基本框架,从非常简单的模型分析开始。研究表明,在这个框架中,人类选择是自动的,因为我们没有机会观察到我们不可能存在的地方是什么。第一人称概率通常倾向于由膨胀产生的更大的宇宙,那里有更多的地方供我们居住。在非常大的宇宙中,我们的观测情况很可能在其他地方复制。计算第一人称概率需要说明我们的特定情况是否被假设为所有其他情况的典型情况。它是观察情况的模型,包括这种典型假设,和通过观察检验的第三人称理论的结合。最后,我们讨论了宇宙观测的第一人称预测,如宇宙常数和宇宙无边界量子态中原始密度波动的特征,以及允许这些变化的动力学理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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