Choosing Approximation versus Exact Algebra
Testing whether a simplification is numerically justified
Lesson 2477 of 4,500 · Physical Chemistry Problem Solving
Learning objectives
- Apply the small-x approximation to weak-acid and weak-base equilibria and test it against the 5% criterion
- Solve the exact quadratic when an approximation fails and compare the two answers
- Judge whether a neglected term matters at the precision the data allow
Introduction
Physical chemistry is full of shortcuts: treating a weak acid as barely ionised, ignoring the hydrogen ions supplied by water, or assuming a gas is ideal. Each shortcut turns hard algebra into a quick calculation, but each can also give a wrong answer if used outside its range. A strong problem solver does not avoid approximations; they use them and then prove, with numbers, that they were justified. This page develops that habit, using weak-acid equilibria as the main example.
Core explanation
Where the approximation comes from. For a weak acid HA of initial concentration c, the equilibrium table gives Ka = x² ÷ (c − x), where x = [H⁺]. Solving exactly needs the quadratic x² + Ka·x − Ka·c = 0. If x is much smaller than c, then c − x ≈ c and the expression simplifies to x ≈ √(Ka·c).
Testing the assumption. An approximation is only a guess until tested. After finding x, calculate the percentage ionisation, 100x ÷ c. The common rule is that the approximation is acceptable if this is below 5%. A useful fact makes the rule meaningful: the relative error in x produced by the approximation is roughly half the percentage ionisation. A 4% ionisation therefore gives an error of about 2% in [H⁺], which changes pH by less than 0.01.
Why a rule rather than a feeling. The ratio c ÷ Ka is a quick predictor. When c ÷ Ka is larger than about 400, the ionisation is under 5% and the shortcut works. When c ÷ Ka is small — a fairly strong weak acid or a very dilute solution — the approximation fails and the quadratic is needed.
Matching precision to data. Whether an error matters depends on the data. If Ka is known to only two significant figures, a 1% algebraic error is invisible. If a question gives four significant figures and asks for pH to two decimal places, the same error might just be noticeable. Always compare the size of the neglected term with the uncertainty already present.
Other common approximations. Water's own contribution to [H⁺] (1.0 × 10⁻⁷ mol dm⁻³ in pure water at 298 K) can be ignored when the acid supplies far more than this, but not for acids near 10⁻⁷ mol dm⁻³. The ideal-gas equation can be used when the compressibility factor is close to 1, typically at modest pressures. In buffers, initial concentrations are used in the Henderson–Hasselbalch equation because the shift in equilibrium is small compared with the amounts of acid and conjugate base present.
Formulae
Approximate: x ≈ √(Ka·c)
Exact: x = [−Ka + √(Ka² + 4Ka·c)] ÷ 2
Percentage ionisation = 100x ÷ c; accept the approximation if below 5%
Quick predictor: c ÷ Ka > 400 suggests the approximation holds
Step-by-step reasoning
1. Write the exact expression from the equilibrium table. 2. Make the simplifying assumption and solve quickly. 3. Test the assumption numerically, for example with percentage ionisation. 4. If it passes, report the approximate answer and state the test result. 5. If it fails, solve the exact equation and use that answer.
Visual explanation
Plot pH against c ÷ Ka on a logarithmic axis, with one curve for the approximate method and one for the exact quadratic. At high c ÷ Ka the two curves lie on top of each other. As c ÷ Ka falls below a few hundred, the approximate curve drops below the exact one, predicting too low a pH, and the gap widens steadily.
Real-world analogy
Engineers treat the Earth as flat when surveying a garden, because the curvature over a few metres is far smaller than their measuring error. They cannot do the same when planning a long bridge or an airline route. The approximation is the same; what changes is whether the neglected effect is larger than the precision required.
Real-world example
Analytical laboratories preparing pH calibration or buffer solutions often use approximate equations for quick planning, then software that solves the full equilibria, including activity corrections. The approximate result tells the chemist roughly what to expect; the exact treatment is used where accuracy to a few hundredths of a pH unit matters.
Why?
Why does the relative error roughly equal half the percentage ionisation? The exact equation divides x² by (c − x), which is smaller than c by the fraction x ÷ c. Solving for x involves a square root, so a fractional change in the denominator produces about half that fractional change in x.
Common misconception
"The quadratic is always better, so approximations are lazy." When the test passes, both methods give the same answer within the data's uncertainty, and the approximation is quicker, clearer and less prone to arithmetic slips.
Worked example
Question: Calculate the pH of 0.0100 mol dm⁻³ hydrofluoric acid, Ka = 6.8 × 10⁻⁴, and decide whether the small-x approximation is acceptable.
Reasoning: Approximation: x ≈ √(6.8 × 10⁻⁴ × 0.0100) = 2.61 × 10⁻³ mol dm⁻³. Test: 100 × 2.61 × 10⁻³ ÷ 0.0100 = 26%, well above 5%, so the approximation fails. Also c ÷ Ka ≈ 15, far below 400.
Exact: x = [−6.8 × 10⁻⁴ + √((6.8 × 10⁻⁴)² + 4 × 6.8 × 10⁻⁴ × 0.0100)] ÷ 2 = (−6.8 × 10⁻⁴ + 5.26 × 10⁻³) ÷ 2 = 2.29 × 10⁻³ mol dm⁻³.
Answer: pH = −log(2.29 × 10⁻³) = 2.64. The approximation would have given 2.58, an error of 0.06 pH units.
Quick check
1. The approximate method gives 12% ionisation for a weak acid. What should you do next? Answer: Reject the approximation, because 12% exceeds the 5% criterion, and solve the exact quadratic.
Exam focus
Always state the assumption (c − x ≈ c) and show the test with a number. Many mark schemes award a mark specifically for checking the percentage ionisation. If the test fails, move straight to the quadratic formula and discard the negative root.
Advanced insight
For 0.100 mol dm⁻³ ethanoic acid (Ka = 1.8 × 10⁻⁵), the approximate [H⁺] is 1.34 × 10⁻³ and the exact value is 1.33 × 10⁻³ mol dm⁻³: pH 2.87 either way. At higher accuracy, activity coefficients differ from 1 by several per cent even at this concentration, so the approximation error is smaller than the error from ignoring non-ideality.
Summary
Approximations simplify algebra by neglecting small terms, but each must be tested numerically. For weak acids, the small-x shortcut is acceptable when ionisation is below about 5%, or c ÷ Ka exceeds about 400. When the test fails, solve the exact equation. Judge every neglected term against the precision of the data, and report which method was used and why.
Practice questions
1. Calculate the pH of 0.100 mol dm⁻³ ethanoic acid (Ka = 1.8 × 10⁻⁵) using the approximation, and show that it is justified. Answer: x = √(1.8 × 10⁻⁶) = 1.34 × 10⁻³ mol dm⁻³; ionisation = 1.3%, below 5%; pH = 2.87. 2. For 0.050 mol dm⁻³ methanoic acid (Ka = 1.8 × 10⁻⁴), the approximation gives 6% ionisation. Find the exact pH. Answer: x = [−1.8 × 10⁻⁴ + √(3.24 × 10⁻⁸ + 3.6 × 10⁻⁵)] ÷ 2 = 2.91 × 10⁻³ mol dm⁻³, so pH = 2.54 (the approximation gives 2.52). 3. Ethanoic acid is diluted to 0.00100 mol dm⁻³ (Ka = 1.8 × 10⁻⁵). Test the approximation and give the pH. Answer: c ÷ Ka = 56 and the approximate x = 1.34 × 10⁻⁴ mol dm⁻³ is 13% of c, so the test fails. The exact quadratic gives x = 1.25 × 10⁻⁴ mol dm⁻³ and pH = 3.90 (the approximation gives 3.87). 4. Why does a 2% algebraic error not matter when Ka is given as 1.8 × 10⁻⁵? Answer: Ka has only two significant figures, an uncertainty of a few per cent, so a 2% error from the approximation is no larger than the uncertainty already in the data.