Difference between revisions of "Error function"
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| − | $$\mathrm{erf}(x)=\dfrac{2}{\sqrt{\pi}}\displaystyle\int_0^x e^{-\tau^2} d\tau$$ | + | The (normalized) error function $\mathrm{erf}$ is defined by |
| + | $$\mathrm{erf}(x)=\dfrac{2}{\sqrt{\pi}}\displaystyle\int_0^x e^{-\tau^2} \mathrm{d}\tau,$$ | ||
| + | where $\pi$ denotes [[pi]] and $e^{-\tau^2}$ denotes the [[exponential]] function. | ||
| − | + | <div align="center"> | |
| + | <gallery> | ||
| + | File:Erfplot.png|Graph of $\mathrm{erf}$. | ||
| + | File:Complexerrorplot.png|[[Domain coloring]] of $\mathrm{erf}$. | ||
| + | </gallery> | ||
| + | </div> | ||
=Properties= | =Properties= | ||
| + | [[Taylor series for error function]]<br /> | ||
| + | [[Series for erf with exponential factored out]]<br /> | ||
| + | [[Error function is odd]]<br /> | ||
| + | [[Complex conjugate of argument of error function]]<br /> | ||
| + | [[Two-sided inequality for e^(x^2) integral from x to infinity e^(-t^2) dt for non-negative real x]]<br /> | ||
| + | [[Limit of erf when z approaches infinity and the modulus of arg(z) is less than pi/4]]<br /> | ||
| + | |||
<div class="toccolours mw-collapsible mw-collapsed"> | <div class="toccolours mw-collapsible mw-collapsed"> | ||
| − | <strong>Theorem:</strong> $\mathrm{erf}( | + | <strong>Theorem:</strong> The following formula holds: |
| + | $\dfrac{1}{2} \left( 1 + \mathrm{erf} \left( \dfrac{x-\mu}{\sqrt{2}\sigma} \right) \right)=\dfrac{1}{\sigma \sqrt{2 \pi}} \displaystyle\int_{-\infty}^x \exp \left( -\dfrac{(t-\mu)^2}{2\sigma^2} \right)\mathrm{d}t.$ | ||
<div class="mw-collapsible-content"> | <div class="mw-collapsible-content"> | ||
| − | <strong>Proof:</strong> | + | <strong>Proof:</strong> █ |
</div> | </div> | ||
</div> | </div> | ||
| − | + | =Videos= | |
| − | + | [https://www.youtube.com/watch?v=5v7d8jmlMi4 The Laplace transform of the error function $\mathrm{erf}(t)$ (15 September 2013)]<br /> | |
| − | < | + | [https://www.youtube.com/watch?v=CcFUQhorgdc The Error function (8 November 2013)] <br /> |
| − | + | [https://www.youtube.com/watch?v=1bKropXjTD0 Video 1690 - ERF Function (7 July 2015)] <br /> | |
| − | </ | + | |
| − | + | =References= | |
| + | * {{BookReference|Special Functions of Mathematical Physics and Chemistry|1956|Ian N. Sneddon|prev=Sine integral|next=findme}}: $\S 5 (5.11)$ | ||
| + | * {{BookReference|Handbook of mathematical functions|1964|Milton Abramowitz|author2=Irene A. Stegun|prev=findme|next=Erfc}}: 7.1.1 | ||
| + | |||
| + | [http://www.johndcook.com/erf_and_normal_cdf.pdf Relating $\phi$ and erf] | ||
| + | |||
| + | {{:Error functions footer}} | ||
| − | + | [[Category:SpecialFunction]] | |
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Latest revision as of 00:43, 25 June 2017
The (normalized) error function $\mathrm{erf}$ is defined by $$\mathrm{erf}(x)=\dfrac{2}{\sqrt{\pi}}\displaystyle\int_0^x e^{-\tau^2} \mathrm{d}\tau,$$ where $\pi$ denotes pi and $e^{-\tau^2}$ denotes the exponential function.
Graph of $\mathrm{erf}$.
Domain coloring of $\mathrm{erf}$.
Properties
Taylor series for error function
Series for erf with exponential factored out
Error function is odd
Complex conjugate of argument of error function
Two-sided inequality for e^(x^2) integral from x to infinity e^(-t^2) dt for non-negative real x
Limit of erf when z approaches infinity and the modulus of arg(z) is less than pi/4
Theorem: The following formula holds: $\dfrac{1}{2} \left( 1 + \mathrm{erf} \left( \dfrac{x-\mu}{\sqrt{2}\sigma} \right) \right)=\dfrac{1}{\sigma \sqrt{2 \pi}} \displaystyle\int_{-\infty}^x \exp \left( -\dfrac{(t-\mu)^2}{2\sigma^2} \right)\mathrm{d}t.$
Proof: █
Videos
The Laplace transform of the error function $\mathrm{erf}(t)$ (15 September 2013)
The Error function (8 November 2013)
Video 1690 - ERF Function (7 July 2015)
References
- 1956: Ian N. Sneddon: Special Functions of Mathematical Physics and Chemistry ... (previous) ... (next): $\S 5 (5.11)$
- 1964: Milton Abramowitz and Irene A. Stegun: Handbook of mathematical functions ... (previous) ... (next): 7.1.1
