Logistic function: Difference between revisions
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If <math>x</math> equals the above expression, then the function describing <math>p</math> in terms of <math>x</math> is the logistic function. | If <math>x</math> equals the above expression, then the function describing <math>p</math> in terms of <math>x</math> is the logistic function. | ||
==Key data== | |||
{| class="sortable" border="1" | |||
! Item !! Value | |||
|- | |||
| default [[domain]] || all of <math>\R</math>, i.e., all reals | |||
|- | |||
| [[range]] || the [[open interval]] <math>(0,1)</math>, i.e., the set <math>\{ x \mid 0 \le x \le 1 \}</math> | |||
|- | |||
| [[derivative]] || the derivative is <math>\frac{-e^{-x}}{(1 + e^{-x})^2}</math>.<br>If we denote the logistic function by the letter <math>g</math>, then we can also write the derivative as <math>g'(x) = g(x)g(-x) = g(x)(1 - g(x))</math> | |||
|- | |||
| [[second derivative]] || If we denote the logistic function by the letter <math>g</math>, then we can also write the derivative as <math>g'(x) = g(x)g(-x) = g(x)(1 - g(x))(1 - 2g(x))</math> | |||
|- | |||
| [[logarithmic derivative]] || the logarithmic derivative is <math>\frac{e^{-x}}{1 + e^{-x}}</math><br>If we denote the logistic function by <math>g</math>, the logarithmic derivative is <math>g(-x)</math> | |||
|- | |||
| [[critical point]]s || none | |||
|- | |||
| [[critical points]] for the derivative (correspond to points of inflection for the function) || <math>x = 0</math>; the corresponding point on the graph of the function is <math>(0,1/2)</math>. | |||
|- | |||
| [[local maximal value]]s and points of attainment || none | |||
|- | |||
| [[local minimum value]]s and points of attainment || none | |||
|- | |||
| intervals of interest || increasing and concave up on <math>(-\infty,0)</math><br>increasing and concave down on <math>(0,\infty)</math> | |||
|- | |||
| [[horizontal asymptote]]s || asymptote at <math>y = 0</math> corresponding to the limit for <math>x \to -\infty</math><br>asymptote at <math>y = 1</math> corresponding to the limit for <math>x \to \infty</math> | |||
|- | |||
| [[inverse function]] || [[inverse logistic function]] or [[log-odds function]] given by <math>x \mapsto \ln \left(\frac{x}{1 - x} \right)</math> | |||
|} | |||
==Differentiation== | ==Differentiation== | ||
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The general solution to that equation is the function <math>y = g(x + C)</math> where <math>C \in \R</math>. The initial condition <math>y = 1/2</math> at <math>x = 0</math> pinpoints the logistic function uniquely. | The general solution to that equation is the function <math>y = g(x + C)</math> where <math>C \in \R</math>. The initial condition <math>y = 1/2</math> at <math>x = 0</math> pinpoints the logistic function uniquely. | ||
Revision as of 18:05, 12 September 2014
Definition
The logistic function is a function with domain and range the open interval , defined as:
Equivalently, it can be written as:
For this page, we will denote the function by the letter .
We may extend the logistic function to a function , where and .
Probabilistic interpretation
The logistic function transforms the logarithm of the odds to the actual probability. Explicitly, given a probability (strictly between 0 and 1)of an event occurring, the odds in favor of are given as:
This could take any value in
The logarithm of odds is the expression:
If equals the above expression, then the function describing in terms of is the logistic function.
Key data
| Item | Value |
|---|---|
| default domain | all of , i.e., all reals |
| range | the open interval , i.e., the set |
| derivative | the derivative is . If we denote the logistic function by the letter , then we can also write the derivative as |
| second derivative | If we denote the logistic function by the letter , then we can also write the derivative as |
| logarithmic derivative | the logarithmic derivative is If we denote the logistic function by , the logarithmic derivative is |
| critical points | none |
| critical points for the derivative (correspond to points of inflection for the function) | ; the corresponding point on the graph of the function is . |
| local maximal values and points of attainment | none |
| local minimum values and points of attainment | none |
| intervals of interest | increasing and concave up on increasing and concave down on |
| horizontal asymptotes | asymptote at corresponding to the limit for asymptote at corresponding to the limit for |
| inverse function | inverse logistic function or log-odds function given by |
Differentiation
First derivative
Consider the expression for :
We can differentiate this using the chain rule for differentiation (the inner function being and the outer function being the reciprocal function . We get:
Simplifying, we get:
We can write this in an alternate way that is sometimes more useful. We split the expression as a product:
The first factor on the right is , and the second factor is , so this simplifies to:
Functional equations
Symmetry equation
The logistic function has the property that its graph has symmetry about the point . Explicitly, it satisfies the functional equation:
We can see this algebraically:
Multiply numerator and denominator by , and get:
Differential equation
As discussed in the #First derivative section, the logistic function satisfies the condition:
Therefore, is a solution to the autonomous differential equation:
The general solution to that equation is the function where . The initial condition at pinpoints the logistic function uniquely.