Power law vs exponential
- Exponential: (constant)x
- Power law: x(constant)
Power law distributions are fractal. Twice as wealthy is half as likely, or whatever the constant you use.
Exponentials decay faster than power laws. In an exponential based on 0.5x, every increase of x by one point halves the probability, whereas in a power law based on x0.5, you need greater increases of x to halve the probability. Pareto distributions in particular have a property called . . .
The Pareto distribution is related to the exponential distribution as follows. If X is Pareto-distributed with minimum xm and index α, then
node:internal/modules/cjs/loader:1228
throw err;
^
Error: Cannot find module 'katex'
Require stack:
- /home/kept/private-dotfiles/.config/emacs/texToMathML.js
at Module._resolveFilename (node:internal/modules/cjs/loader:1225:15)
at Module._load (node:internal/modules/cjs/loader:1051:27)
at Module.require (node:internal/modules/cjs/loader:1311:19)
at require (node:internal/modules/helpers:179:18)
at Object.
is exponentially distributed with rate parameter α. Equivalently, if Y is exponentially distributed with rate α, then
node:internal/modules/cjs/loader:1228
throw err;
^
Error: Cannot find module 'katex'
Require stack:
- /home/kept/private-dotfiles/.config/emacs/texToMathML.js
at Module._resolveFilename (node:internal/modules/cjs/loader:1225:15)
at Module._load (node:internal/modules/cjs/loader:1051:27)
at Module.require (node:internal/modules/cjs/loader:1311:19)
at require (node:internal/modules/helpers:179:18)
at Object.
is Pareto-distributed with minimum xm and index α.
This can be shown using the standard change-of-variable techniques:
node:internal/modules/cjs/loader:1228
throw err;
^
Error: Cannot find module 'katex'
Require stack:
- /home/kept/private-dotfiles/.config/emacs/texToMathML.js
at Module._resolveFilename (node:internal/modules/cjs/loader:1225:15)
at Module._load (node:internal/modules/cjs/loader:1051:27)
at Module.require (node:internal/modules/cjs/loader:1311:19)
at require (node:internal/modules/helpers:179:18)
at Object.
The last expression is the cumulative distribution function of an exponential distribution with rate α.