含义Meaning
由各直接测量量的不确定度计算结果的不确定度(独立随机误差)。加减法合并绝对误差,乘除法合并相对误差。
Combines uncertainties of independent measured quantities into that of the result: absolute errors add in quadrature for sums, relative errors for products.
符号说明Symbols
| 符号Symbol | 含义 Meaning | 单位 Unit |
|---|---|---|
| \(\sigma_{x_i}\) | 输入量的标准不确定度standard uncertainty of input | |
| \(\partial y/\partial x_i\) | 灵敏系数sensitivity coefficient |
推导Derivation
把 y 在平均值处一阶泰勒展开:\(\delta y \approx \sum_i(\partial y/\partial x_i)\delta x_i\)。
Linearise y with a first-order Taylor expansion.
平方取期望;各 \(x_i\) 独立时交叉项(协方差)为零。
Square and average; cross terms vanish for independent inputs.
对乘积 \(y = ab\):\(\partial y/\partial a = b\),除以 \(y^2\) 得相对误差形式。
For y = ab, divide by y² to get relative errors.
适用条件与局限Assumptions & limitations
线性化近似:相对误差大或函数强非线性时不准(可用蒙特卡罗);相关输入需加协方差项。
Linearisation fails for large errors or strong non-linearity; correlated inputs need covariance terms.
系统误差不按此规则相互抵消。
Systematic errors do not combine this way.
例题Worked example
c = m/(MV):m = 0.2000 ± 0.0002 g(0.1%),V = 100.0 ± 0.1 mL(0.1%):c 的相对不确定度 √(0.1² + 0.1²) = 0.14%。
c = m/(MV) with 0.1 % on m and V: 0.14 % on c.