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1
Introduction
2
The Question
3
The Arrow of Time
4
Example
5
The Do Operator
6
The Entropy Equation
7
The Past Hypothesis
8
Low Entropy
9
Setup
10
The Mentaculous
11
Microvariable Evolution
12
Markovian Evolution
13
What is Entropy
14
Entropy in the Future
15
Entropy and Complexity
16
The Universe
17
The Glass of Wine
18
Backwards in Time
19
Conditionalization
20
Can I reverse the arrows
21
Whats next
Description:
Explore the concept of time's arrow in causal networks through this thought-provoking lecture by Sean Carroll from Caltech and Santa Fe Institute. Delve into the derivation of a macroscopic arrow of time from reversible and time-symmetric fundamental laws, considering coarse-graining and the Past Hypothesis of low entropy. Examine how familiar aspects of time's arrow, such as causes preceding effects, can be derived from this formalism. Discover how the causal arrow naturally emerges when describing macroscopic systems in terms of a causal network, and consider suggestions for incorporating prediction and memory into this framework. Gain insights into foundational questions in quantum mechanics, spacetime, cosmology, entropy, and complexity from this renowned theoretical physicist and author.

The Arrow of Time in Causal Networks

Simons Institute
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