January, 2018 | Chris Aldrich

Reply to Why Trump? by George Lakoff

Replied to Why Trump? by George Lakoff (George Lakoff)

Donald Trump is winning Republican presidential primaries at such a great rate that he seems likely to become the next Republican presidential nominee and perhaps the next president. Democrats have little understanding of why he is winning — and winning handily, and even...

I appreciate the logic you’ve laid out on multiple levels here. I wish it were more widely viewed and shared. There’s an additional linguistic trick which Trump seems to take heavy advantage of as well: doublespeak. I’ve laid out some of the details here: http://boffosocko.com/2016/09/30/complexity-isnt-a-vice-10-word-answers-and-doubletalk-in-election-2016/ though I’ve got a slightly more nuanced approach now a year on and with additional data.

I enjoy your take on Direct vs. Systemic Causation which I bundle a bit more simply under the concept of “complexity”. The example I provide certainly fits well into your argument. It also seems to explain the political divide, which also follows the same party lines, in the ways the country views science in general, but the ideas of climate change and evolution specifically. While the evolution portion may be in direct conflict with the religious right, it doesn’t explain why so many don’t believe in the sciences generally or why they would be climate change deniers. Direct causation would seem to supersede the simple religion argument and explain the backlash against the sciences in general.

📗 Read pages i-14 of The Theoretical Minimum: What You Need to Know to Start Doing Physics by Leonard Susskind and George Hrabovsky

📖 Read pages i-14 of The Theoretical Minimum: What You Need to Know to Start Doing Physics by Leonard Susskind and George Hrabovsky (Basic Books, 2013, ISBN: 978-0465028115)

I’d read a portion of this in the past, but thought I’d circle back to it when I saw it sitting on the shelf at the library before the holidays. It naturally helps to have had lots of physics in the past, but this has a phenomenally clear and crisp presentation of just the basics in a way that is seldom if ever seen in actual physics textbooks.

Highlights, Quotes, & Marginalia

Lecture One: The Nature of Classical Physics

There is a very simple rule to tell when a diagram represents a deterministic reversible law. If every state has a single unique arrow leading into it, and a single arrow leading out of it, then it is a legal deterministic reversible law.

Highlight (yellow) – 1. The Nature of Classical Physics > Page 9

There’s naturally a much more sophisticated and subtle mathematical way of saying this. I feel like I’ve been constantly tempted to go back and look at more category theory, and this may be yet another motivator.
Added on Wednesday, January 4, 2018 late evening

The rule that dynamical laws must be deterministic and reversible is so central to classical physics that we sometimes forget to mention it when teaching the subject. […] minus-first law [: …] undoubtedly the most fundamental of all physics laws–the conservation of information. The conservation of information is simply the rule that every state has one arrow in and one arrow out. It ensures that you never lose track of where you started.

Highlight (yellow) – 1. The Nature of Classical Physics > Page 9-10

This is very simply and naturally stated, but holds a lot of complexity. Again I’d like to come back and do some serious formalization of this and reframe it in a category theory frameork.
Added on Wednesday, January 4, 2018 late evening

There is evan a zeroth law […]

Highlight (gray) – 1. The Nature of Classical Physics > Page 9

spelling should be even; I’m also noticing a lot of subtle typesetting issues within the physical production of the book that are driving me a bit crazy. Spaces where they don’t belong or text not having clear margins at the tops/bottoms of pages. I suspect the math and layout of diagrams and boxes in the text caused a lot of problems in their usual production flow.
Added on Wednesday, January 4, 2018 late evening

Guide to highlight colors

Yellow–general highlights and highlights which don’t fit under another category below
Orange–Vocabulary word; interesting and/or rare word
Green–Reference to read
Blue–Interesting Quote
Gray–Typography Problem
Red–Example to work through

I want to read 42 books in 2018.

I sometimes feel guilty about failing miserably at these based on the way GoodReads counts their books vis-a-vis finishing complete books, particularly when I’m often reading such dense technical books in which reading a page a day is a near Herculean task.

Thus, because I can have finer control of things on my own website, I’ll try to break things out on a more granular level.

I want to read (aka work my way through) 2-3 technical textbooks in 2018.
I want to read 10 non-fiction books in 2018.
I want to read 20 fiction books in 2018.
I want to read 10 juvenal fiction/literature books in 2018.

👓 Limits and Colimits, Part 1 (Introduction) | Math3ma

Read Limits and Colimits, Part 1 (Introduction) by

Tai-Danae Bradley (Math3ma)

I'd like to embark on yet another mini-series here on the blog. The topic this time? Limits and colimits in category theory! But even if you're not familiar with category theory, I do hope you'll keep reading. Today's post is just an informal, non-technical introduction. And regardless of your categorical background, you've certainly come across many examples of limits and colimits, perhaps without knowing it! They appear everywhere - in topology, set theory, group theory, ring theory, linear algebra, differential geometry, number theory, algebraic geometry. The list goes on. But before diving in, I'd like to start off by answering a few basic questions.

A great little introduction to category theory! Can’t wait to see what the future installments bring.

Interestingly I came across this on Instagram. It may be one of the first times I’ve seen math at this level explained in pictorial form via Instagram.

https://www.instagram.com/p/Bdd8vmfBQvG/

🔖 Nonlinear Dynamics 1 & 2: Geometry of Chaos by Predrag Cvitanovic

Bookmarked Nonlinear Dynamics 1 & 2: Geometry of Chaos by

Predrag Cvitanovic (Georgia Institute of Technology)

The theory developed here (that you will not find in any other course :) has much in common with (and complements) statistical mechanics and field theory courses; partition functions and transfer operators are applied to computation of observables and spectra of chaotic systems. Nonlinear dynamics 1: Geometry of chaos (see syllabus) Topology of flows - how to enumerate orbits, Smale horseshoes Dynamics, quantitative - periodic orbits, local stability Role of symmetries in dynamics Nonlinear dynamics 2: Chaos rules (see syllabus) Transfer operators - statistical distributions in dynamics Spectroscopy of chaotic systems Dynamical zeta functions Dynamical theory of turbulence The course, which covers the same material and the same exercises as the Georgia Tech course PHYS 7224, is in part an advanced seminar in nonlinear dynamics, aimed at PhD students, postdoctoral fellows and advanced undergraduates in physics, mathematics, chemistry and engineering.

An interesting looking online course that appears to be on a white-labeled Coursera platform.

I’ve come across Predrag Cvitanovic’s work on Group Theory and Lie Groups before, so this portends some interesting work. I’ll have to see if I can carve out some time to sample some of it.