Arrhenius equation
A rise near room temperature can double or triple a reaction's rate — far more than you would guess from how little the average molecular energy changes. The Arrhenius equation is the reason why. It packages every qualitative idea from this chapter — activation energy, effective collisions, the sharp temperature-sensitivity of rate — into one testable formula, , that lets you predict how the rate constant shifts with temperature and, run the other way, extract the activation energy straight from experimental -vs- data. It is the final, unifying topic of ISC Class 12 Chemical Kinetics, and nearly every numerical in this unit reduces to plugging into this one equation or its logarithmic cousin.
The rate constant grows sharply with temperature because the exponential term is the fraction of molecules energetic enough to react, and taking logs turns this into a straight line that hands you and from a graph or from just two data points.
The core idea
The Arrhenius equation links the rate constant of a reaction to the absolute temperature :
where: is the rate constant at temperature ; is the pre-exponential factor (also called the frequency factor or Arrhenius factor), related to how often molecules collide with the correct orientation, and treated as constant for a given reaction over a moderate temperature range; is the activation energy in ; is the universal gas constant, ; and is the absolute temperature in kelvin.
Reading the exponential. The term is always a number between and , and it is the fraction of molecules whose energy meets or exceeds at that temperature — the same fraction pictured as the shaded tail of the Maxwell–Boltzmann distribution beyond . Raise and becomes less negative, so the fraction grows and grows with it; lower has the identical effect. This is exactly why a modest temperature rise increases the number of effective (correctly oriented, sufficiently energetic) collisions per second — the qualitative story of collision theory, now made quantitative.
Logarithmic (graphical) form. Taking natural logs of both sides converts the exponential relation into a straight line:
or, in base-10 form, more convenient for plotting since log tables and graph slopes traditionally use base 10:
Plotting on the y-axis against on the x-axis gives a straight line with slope (so ) and y-intercept (so ). This is the standard experimental route to both quantities: measure at several temperatures, plot against , and read off the slope and off the intercept.
Two-temperature form. Writing the logarithmic equation at two temperatures (with rate constants ) and subtracting, assuming is unchanged, gives:
This compact relation is the workhorse for numericals: it finds from just two rate-constant measurements, or predicts from and , without ever needing the full straight-line graph.
Connecting back to collision theory. Before this chapter's Arrhenius topic, collision theory already argued qualitatively that raising temperature increases the fraction of molecules with enough kinetic energy to cross the activation-energy barrier, and that this — not simply more frequent collisions — is the dominant reason reaction rates climb with heat. The Arrhenius equation is the quantitative closure of exactly that argument: the exponential factor is that fraction of sufficiently energetic molecules, so every qualitative statement about "more effective collisions at higher temperature" from earlier in the unit can now be read off a number, computed from real and values rather than described only in words. This is also why catalysts, which do not appear explicitly in the equation, work by lowering rather than by changing or the collision frequency : a smaller raises the exponential fraction at the same temperature, exactly as the equation predicts.
The goal is to show, algebraically, exactly how the single two-temperature Arrhenius relation is built from the base Arrhenius equation applied at two temperatures, and how it rearranges cleanly to isolate — the manipulation every kinetics numerical on this topic ultimately performs, whether the question states it explicitly or expects you to reconstruct it from .
Step 1. Write the logarithmic Arrhenius equation separately at and , treating as the same constant at both temperatures (a fair assumption over a moderate range): and .
Step 2. Subtract the first equation from the second. The terms are identical and cancel completely, leaving only the activation-energy terms: .
Step 3. Combine the left side using the log quotient rule, , giving the standard two-temperature form: .
Step 4. Rearrange for by dividing both sides by the bracket: . Every quantity on the right is measurable — two rate constants and two temperatures — so this single line is enough to compute activation energy from data without ever plotting a graph.
Worked example
Question. The rate constant of a reaction at is , and at it is . Calculate the activation energy of the reaction. (.)
Step 1. Identify the values: , , , , and use the two-temperature form derived above, .
Step 2. Compute the ratio: , so .
Step 3. Compute the bracket: (i.e. ).
Step 4. Rearrange and substitute: . The activation energy is approximately .
Competitive stretch
For a related reaction, a plot of against over five temperatures gives slope and y-intercept . Using slope : . Using intercept : (assuming first order, so carries the same units as ).
Common traps
- Forgetting the factor of when switching between natural log (used in the raw derivation) and base-10 log (used for graph work and the two-temperature formula).
- Using Celsius instead of absolute (kelvin) temperature — must be in kelvin throughout, in both the exponential and logarithmic forms.
- Misreading the sign of the slope: the vs line has a negative slope, and must still come out positive — a positive requires a negative slope, not the reverse.
- Assuming always has the same units — like , the units of the pre-exponential factor match the units of for that reaction's order (e.g. for a first-order reaction).
Ask the tutor: if the switch between the two-temperature form and the slope-intercept graphical form of the Arrhenius equation feels confusing, ask your AI tutor to walk through one more numerical with you step by step.
Why does even a small rise in temperature increase the rate constant so much?
Because depends exponentially, not linearly, on temperature through . A small increase in makes the exponent noticeably less negative, and because it sits inside an exponential, even a modest change in the exponent multiplies by a large factor. Physically, more molecules cross the activation-energy threshold, so a far larger share of collisions become effective — this is why a rise near room temperature can roughly double many reaction rates.
Why do we convert to log base 10 with the 2.303 factor instead of just using ln k directly?
Both forms are mathematically equivalent — is the raw derivation. Base-10 logs are used for graph work because log tables and most graph paper conventions are base 10, and converts between them. The 2.303 factor is not new physics; it is purely the conversion constant, so as long as you are consistent about which base an equation or graph uses, both forms give identical numerical answers for and .
How is the Arrhenius equation different from just saying rate increases with temperature?
Saying "rate increases with temperature" is only a qualitative trend; the Arrhenius equation makes it quantitative and testable. It tells you the increase is exponential rather than linear, names the two physical quantities responsible (, the collision/orientation factor, and , the energy barrier), and gives you a way to actually measure from real laboratory data using the log-graph or two-temperature methods. Two reactions can both "speed up with heat," but one with a large will be far more temperature-sensitive than one with a small — a distinction only the Arrhenius equation captures numerically.