The Arrhenius equation
Statement
Temperature dependence of rate and the activation energy.
Why it matters
rate-law-order and integrated-rate-laws establish how the rate of a reaction depends on the concentrations of the species present, at fixed temperature; this result supplies the other half of the picture, how the rate constant \(k\) itself depends on temperature. The observation that reaction rates typically rise steeply with temperature, far faster than any simple power-law scaling of molecular speed or diffusion could explain, is one of the central empirical facts of kinetics, and the exponential form derived here is the standard tool for fitting it.
The equation also supplies the practical route to a reaction's activation energy \(E_a\) from nothing more than a handful of rate measurements at different temperatures, a quantity that collision-theory and transition-state-theory then go on to give a physical, mechanistic interpretation of. Later, catalysis-activation-energy revisits exactly this exponential form to explain quantitatively why even a modest reduction in \(E_a\) produces a disproportionately large increase in rate.
Hypotheses
Proof
Result
Reading. Rate constants rise exponentially with temperature because an exponentially larger fraction of collisions clear the energy barrier \(E_a\) as \(T\) increases; the two adjustable parameters \(A\) and \(E_a\) are read off the slope and intercept of a plot of \(\ln k\) against \(1/T\).
Scope. Valid over ranges narrow enough that \(E_a\) and \(A\) can be treated as constants (Hypotheses); breaks down for a genuinely non-elementary reaction whose rate-determining step changes with temperature, and for the occasional reaction with a negative apparent \(E_a\).
Corollaries & converses
- The two-point form of Step 4 is the standard practical tool: measuring \(k\) at just two temperatures is, in principle, enough to determine \(E_a\), though fitting a full Arrhenius plot from several temperatures gives a more reliable value.
- Because \(E_a\) enters the exponent divided by \(RT\), a larger activation energy makes a reaction's rate more sensitive to temperature; this underlies the common laboratory rule of thumb that many reactions' rates roughly double for every \(10\,\text{K}\) rise near room temperature, for \(E_a\) in the typical \(50\text{-}60\,\text{kJ/mol}\) range.
- catalysis-activation-energy applies this same exponential sensitivity in reverse: because \(k\) depends exponentially on \(-E_a\), even a modest reduction in barrier height produces a disproportionately large rate increase.
Fails without
- Drop the single, effective-\(E_a\) assumption for a genuinely multi-step mechanism: the "activation energy" read from an Arrhenius plot becomes a composite of several steps' barriers, and can even show curvature, or an apparent negative \(E_a\), if the rate-determining step changes across the temperature range studied (steady-state-approximation).
- Extrapolate the fitted line far outside the temperature range \(A\) and \(E_a\) were determined over: the mild \(\sqrt{T}\) dependence of \(A\) neglected in the Hypotheses becomes non-negligible over a wide range, so a plot of \(\ln k\) against \(1/T\) can show detectable curvature, making the extrapolated \(k\) unreliable.
Common errors
- Using temperature in \(^\circ\text{C}\) rather than kelvin — the Arrhenius equation requires an absolute temperature scale throughout.
- Mismatching the units of \(E_a\) and \(R\) (combining \(E_a\) in \(\text{kJ/mol}\) directly with \(R=8.314\,\text{J mol}^{-1}\text{K}^{-1}\)) when evaluating the exponent.
- Treating an extracted \(E_a\) as necessarily the barrier height of one elementary step, when the studied reaction is actually multi-step (Hypotheses).
- Sign errors when rearranging the two-point form of Step 4, particularly over which temperature is subtracted from which.
Discussion
Svante Arrhenius proposed this temperature dependence in 1889, building on an earlier empirical observation by Jacobus van 't Hoff that equilibrium constants show a closely analogous exponential temperature dependence (the van 't Hoff equation, of the same mathematical form, with \(E_a\) replaced by a reaction enthalpy). At the time Arrhenius's equation was itself a fitted empirical relationship; a genuine physical derivation of it, in terms of molecular collisions and energy barriers, came only later, through collision-theory and, more rigorously still, through transition-state-theory.
Common misconception: that the pre-exponential factor \(A\) is a fixed constant characteristic only of the reactants' identity. Collision theory shows \(A\) packages together the collision frequency and the fraction of collisions with a favourable relative orientation (the steric factor), both of which depend on the specific reaction studied, not on a universal constant.
Worked examples
Reading. Two rate measurements ten degrees apart are sufficient to pin down the activation energy via the two-point Arrhenius equation.
Scope. The same procedure, applied to several temperature points and a linear least-squares fit of \(\ln k\) against \(1/T\), is the more statistically reliable version of this calculation used in practice.
Problems
- A reaction's rate constant increases from \(1.0\times10^{-5}\,\text{s}^{-1}\) at \(20^\circ\text{C}\) to \(2.5\times10^{-4}\,\text{s}^{-1}\) at \(50^\circ\text{C}\). Find \(E_a\).
Solution
Convert to kelvin: \(T_1=293\,\text{K}\), \(T_2=323\,\text{K}\). \(\ln(k_2/k_1)=\ln(25)=3.22\). \(\tfrac{1}{T_1}-\tfrac{1}{T_2}=\tfrac{1}{293}-\tfrac{1}{323}=3.17\times10^{-4}\,\text{K}^{-1}\). \(E_a=R\times3.22/3.17\times10^{-4}=8.314\times3.22/3.17\times10^{-4}\approx8.4\times10^{4}\,\text{J/mol}\approx84\,\text{kJ/mol}\). - Given \(A=5.0\times10^{13}\,\text{s}^{-1}\) and \(E_a=100\,\text{kJ/mol}\), estimate \(k\) at \(400\,\text{K}\).
Solution
\(E_a/RT = 100000/(8.314\times400)=30.1\). \(e^{-30.1}\approx8.5\times10^{-14}\). \(k=A e^{-E_a/RT}\approx5.0\times10^{13}\times8.5\times10^{-14}\approx4.3\,\text{s}^{-1}\). - Explain qualitatively why doubling \(E_a\) at fixed \(T\) reduces \(k\) far more drastically than doubling \(T\) at fixed \(E_a\) increases it, for a typical \(E_a\) around \(80\,\text{kJ/mol}\) near room temperature.
Solution
\(k\) depends on \(E_a\) through the ratio \(E_a/RT\) inside an exponential: at \(298\,\text{K}\), \(RT\approx2.5\,\text{kJ/mol}\), so an \(E_a\) of \(80\,\text{kJ/mol}\) corresponds to an exponent of roughly \(-32\); doubling \(E_a\) to \(160\,\text{kJ/mol}\) roughly squares an already tiny factor, crashing \(k\) by many orders of magnitude. Doubling \(T\) instead only halves the exponent's magnitude (to about \(-16\), since \(RT\) itself scales with \(T\)), a comparatively mild change; because the exponent scales as \(1/T\) rather than linearly, the two operations are far from symmetric in their effect on \(k\).