The Rule for Multiplication and Division
For any formula involving multiplication or division:
The propagated relative uncertainty is:
Unlike addition and subtraction - where you combine absolute uncertainties - multiplication and division require you to combine relative uncertainties (also called fractional uncertainties). The relative uncertainty of each variable is Δx/x, expressed as a fraction or percentage.
Once you have the combined relative uncertainty Δf/f, multiply by the result f to get the absolute uncertainty Δf.
Why Relative Uncertainties for Multiplication?
The reason comes from calculus. For f = x · y, the partial derivatives are:
Plugging into the general propagation formula:
Dividing both sides by f = x · y:
The result is elegant: for products and quotients, the relative uncertainties add in quadrature regardless of the values of x and y. This is why physicists prefer to work with relative uncertainties for multiplicative formulas - the algebra is much cleaner.
Worked Example - Speed from Distance and Time
A student calculates speed using v = d / t.
d4.50 ± 0.05 mt1.20 ± 0.02 sStep 1 - Compute the result:
Step 2 - Compute relative uncertainties:
Step 3 - Combine in quadrature:
Step 4 - Convert to absolute uncertainty:
Step 5 - Round and report:
v = 3.75 ± 0.08 m/s
Note: time contributes more to the total uncertainty (1.67%) than distance (1.11%). To improve precision, focus on measuring time more accurately.
More Than Two Variables
The rule extends to any product or quotient with multiple variables. For f = (x · y) / (z · w):
Every variable in the numerator or denominator contributes its relative uncertainty in exactly the same way - it does not matter whether the variable is multiplied or divided. This makes the rule very easy to apply to complex lab formulas.
The Three-Step Method for Any Product or Quotient
Common Mistakes to Avoid
Quick Reference
| Operation | Formula | Uncertainty Rule |
|---|---|---|
| Multiplication | f = x · y | Δf/f = √((Δx/x)² + (Δy/y)²) |
| Division | f = x / y | Δf/f = √((Δx/x)² + (Δy/y)²) |
| Three variables | f = xyz | Δf/f = √((Δx/x)² + (Δy/y)²+ (Δz/z)²) |
| Mixed | f = xy/z | Δf/f = √((Δx/x)² + (Δy/y)²+ (Δz/z)²) |
| Constant factor | f = c · x | Δf/f = Δx/x |
Frequently Asked Questions
Q1Do I use relative or absolute uncertainties for multiplication?
Relative uncertainties. For f = x · y, the rule is Δf/f = √[(Δx/x)² + (Δy/y)²]. Compute Δx/x and Δy/y first, combine them in quadrature, then multiply by f to get the absolute uncertainty Δf.
Q2Is the rule the same for division as multiplication?
Yes, identical. For both f = x · y and f = x / y, the relative uncertainty is Δf/f = √[(Δx/x)² + (Δy/y)²]. The sign of the operation does not matter because uncertainties are always positive.
Q3What if my formula mixes addition and multiplication?
Apply the general propagation formula using partial derivatives, or break the formula into steps. For example, for f = (x + y) · z, first propagate the uncertainty in (x + y) using the addition rule, treating it as a single intermediate result, then propagate through multiplication by z using the relative uncertainty rule.
Q4Does a constant multiplier affect relative uncertainty?
No. For f = c · x where c is exact, Δf/f = Δx/x - the relative uncertainty is unchanged. The absolute uncertainty scales as Δf = c · Δx, but the fractional uncertainty stays the same.
Q5My formula has a variable squared - is that multiplication?
Treat it using the power rule: for f = x², the relative uncertainty is Δf/f = 2 · Δx/x. This is covered in detail in the Powers & Exponents guide.
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Complete Guide
The fundamentals of uncertainty propagation.
Addition & Subtraction
Working with absolute uncertainties.
Powers & Exponents
Propagating through non-linear functions.
Significant Figures
How to round and report your results.
Random vs Systematic Error
Understanding different types of experimental error.
Standard Error vs Deviation
When to use σ versus σ/√n in your reports.
Correlated Variables
Handling dependencies with covariance.