Complementary Error Function Calculator
Calculate erf(x), the error function, and erfc(x) = 1 - erf(x), the complementary error function, for any real number x. Used in probability, statistics and diffusion/heat-transfer physics.
Input
Output
| Function | Value |
|---|---|
| No data yet | |
Guides
What does this calculator do?
Enter a real number x and this tool computes two closely related values: erf(x), the error function, and erfc(x), the complementary error function, where erfc(x) = 1 − erf(x). Both are computed with an Abramowitz & Stegun rational approximation accurate to about 7-8 significant digits.
How to use it
- Enter a value for x (between -6 and 6 — beyond that range, erfc(x) is numerically indistinguishable from 0 or 2 at double precision, so the result stops being meaningful).
- Read erf(x) and erfc(x) from the result table.
The math
The error function is defined by the integral:
erf(x) = (2/√π) · ∫₀ˣ e^(−t²) dtIt has no closed form in terms of elementary functions, so it's evaluated with a numerical approximation — here, the Abramowitz & Stegun 7.1.26 rational approximation, with a maximum error of about 1.5×10⁻⁷ across the whole real line. The complementary error function is simply:
erfc(x) = 1 − erf(x)Both functions are odd/symmetric around erf: erf(−x) = −erf(x) and erfc(−x) = 2 − erfc(x). At x = 0, erf(0) = 0 and erfc(0) = 1. As x grows, erf(x) approaches 1 (and erfc(x) approaches 0) very quickly — by x = 3, erfc(x) is already under 0.0001.
Relation to the normal distribution
erf and erfc are directly related to the cumulative distribution function (CDF) of the standard normal distribution, Φ(z):
Φ(z) = ½ · erfc(−z / √2) = ½ · (1 + erf(z / √2))So if you already have a value from this calculator, you can recover a standard-normal probability from it without a separate z-table — useful when working through statistics problems that are stated in terms of erf rather than Φ.
Example use cases
- Probability and statistics — computing tail probabilities of a normally distributed variable, working through problems from textbooks that state results in terms of erf/erfc rather than Φ.
- Heat transfer and diffusion — erfc(x) appears directly in the classic solution for transient heat conduction into a semi-infinite solid, and in Fick's second law solutions for diffusion into a semi-infinite medium (e.g. carburizing, doping profiles).
- Signal processing — bit-error-rate formulas for digital communication channels (e.g. BPSK over an AWGN channel) are commonly expressed using Q(x), which is itself
½ · erfc(x/√2).
Privacy
All calculations run locally in your browser — your input is never sent to a server.
Related tools
For general descriptive statistics — mean, standard deviation, variance — see the Statistics Calculator. For hypothesis testing built on the same normal-CDF math, see the A/B Test Significance Calculator.
Use it from code
From 3 credits per callREST API
curl -X POST https://api.iotools.cloud/v1/tool/complementary-error-function-calculator \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"x": "0"
}'Swap in your own key from your account. The tool's fields are the body — no wrapper.
Ask an AI agent
Use the IOTools `complementary-error-function-calculator` tool (Complementary Error Function Calculator) on this input:
YOUR_INPUT_HEREPaste this at any agent connected to the IOTools MCP server, then add your input.