Theme B — The Particulate Nature of Matter
B.4.3 Entropy — IB Physics HL Revision Notes & Topical Questions
5 min read 9 parts Lesson 35 of 53 1 quiz
Curriculum Equation Key قوانين الرقم الهيدروجيني والاتزان الأيوني - pH & Acid-Base Equilibrium FormulasFast Exam Solution
pH = -log[H⁺] | pOH = -log[OH⁻] | pH + pOH = 14 | [H⁺][OH⁻] = 10⁻¹⁴
Word Equation & Conditions: الرقم الهيدروجيني = -لوغاريتم تركيز أيون الهيدروجين | pH + pOH = 14
Location & Specifications: الاتزان الأيوني، كيمياء 3 ثانوي، التحصيلي، و AP Chemistry.
Lesson summary
B.4.3 Entropy — IB PHYSICS HL notes: Define entropy through microstates, S = kB ln Ω, and explain how entropy changes in physical processes and why natural processes are irreversible.Limitation — the first law would allow a hot coffee to get hotter by taking energy from the coole…
- Missing idea
- Macrostate
- Multiplicity Ω
- Coin model
- Large numbers
- Additivity
Part 1 of 7Why energy conservation is not enough
Limitation
- Limitation the first law would allow a hot coffee to get hotter by taking energy from the cooler room, but this never happens
Missing idea
- Missing idea entropy decides which processes occur naturally
Meaning
- Meaning entropy measures how widely energy and particles are spread among the available arrangements
Part 2 of 7Macrostates and microstates
Macrostate
- Macrostate a description of a system by large-scale variables such as p, V, T and U
Microstate
- Microstate a complete specification of the positions and energies of every particle
Multiplicity Ω
- Multiplicity Ω the number of microstates that correspond to a given macrostate
Coin model
- Coin model with four coins, 2 heads and 2 tails occurs in 6 ways while 4 heads occurs in 1 way
- The most probable macrostate has the most microstates
Large numbers
- Large numbers for a mole of molecules the evenly spread arrangements are so overwhelmingly more numerous that other macrostates are never seen
Part 3 of 7Boltzmann's definition of entropy
Equation
- S = kB ln Ω
Symbols
- S in J K−1, kB = 1.38 × 10−23 J K−1, Ω the number of microstates, ln the natural logarithm
Trend
- Trend entropy increases as the number of microstates increases
Additivity
- Additivity independent systems have Ω1Ω2 microstates
- S = kB ln Ω1 + kB ln Ω2 = S1 + S2
Disorder
- Disorder entropy is often called disorder, but the number of ways to arrange particles and energy is more precise
Part 4 of 7Entropy change in a two-compartment container
Entropy change in a two-compartment container
Start
- N distinguishable particles are all in one compartment so Ω1 = 1N = 1
After removing the partition
- After removing the partition each particle may be in either compartment so Ω2 = 2N
Entropy change
- ΔS = kB ln(Ω2/Ω1) = kB ln(2N) = NkB ln 2
Volume form
- Volume form doubling the volume from V to 2V gives ΔS = NkB ln(2V/V) = NkB ln 2
Reversal
- Reversal the probability of all particles returning to one half is 2−N, effectively zero
Part 5 of 7Examples of entropy change
States of matter
- States of matter entropy increases in the order solid, liquid, gas
- Melting and boiling increase entropy while freezing and condensing decrease it
Heating
- Heating raising the temperature gives particles more ways to share the energy so entropy rises
Dissolving
- Dissolving a solid dissolving in a solvent spreads out its particles and raises entropy
Diffusion
- Diffusion a gas filling a whole container has more ways to arrange its particles and energy
Mixing
- Mixing two different gases mixed have more arrangements than when separate
Local decrease
- Local decrease entropy can fall in one system, such as freezing water, if the surroundings gain more entropy
Part 6 of 7Entropy and irreversibility
1Irreversible process
- Irreversible process one that cannot be undone without leaving changes elsewhere
2Cause
- Cause natural processes lead from less probable macrostates to more probable ones
3Heat flow
- Heat flow heat passes from hot to cold because there are far more ways to share energy evenly
4Arrow of time
- Arrow of time the direction of increasing entropy gives time its direction
Part 7 of 7More from the specification
1
Second Law of Thermodynamics and Entropy
- In any spontaneous cyclic or natural thermodynamic process, the total entropy of the universe increases or remains constant, setting a fundamental limit on heat engine efficiency.
2
Thermal Efficiency of Heat Engines
- A heat engine absorbs heat QH from a high-temperature reservoir, performs useful work W,
- and expels waste heat QC to a cold reservoir, with thermal efficiency defined as eta = W / QH = 1 - (QC / QH).
3
Adiabatic and Isothermal Processes
- In an ideal gas cycle, an adiabatic process occurs with zero heat exchange (Q = 0),
- so work done changes internal energy directly (Delta U = -W),
- while temperature remains constant during an isothermal process.
4
The Carnot Cycle as an Ideal Benchmark
- The Carnot cycle consists of two reversible isothermal and two reversible adiabatic processes operating between two thermal reservoirs, establishing the theoretical maximum efficiency achievable at constant reservoir temperatures.
5
Compression
- Decrease in length under a squashing force.
6
Piston
- A moving part in a cylinder that applies or receives pressure.
7
Internal energy
- Total random kinetic and potential energy of all particles.
8
Carnot cycle
- A reversible cycle of two isothermal and two adiabatic processes between two reservoirs.
9
Kinetic energy
- K = ½mv2, energy of motion.
10
Isolated system
- System with no external interaction.
11
Atmospheric pressure
- Pressure of the air, about 1.01 × 105 Pa at sea level.
12
Pressure
- Force per unit area, P = F/A.What the symbols mean: p = pressure (Pa = N m−2) · F = force acting at right angles to the surface (N) · A = area (m2)
13
Constant
- Not changing.
14
Efficiency
- Useful output divided by total input.
15
Reservoir
- Artificial lake that stores water.
16
Adiabatic
- With no thermal energy transfer
17
Thermal
- A convection current in the air.
18
Isothermal
- At constant temperature
19
Expansion
- Increase in size on heating as particles move further apart.
Key terms
| Term | Meaning |
|---|---|
| Entropy (S) | A measure of the number of microstates corresponding to a macrostate, S = kB ln Ω. |
| Microstate | A complete specification of the state of every particle in a system. |
| Macrostate | A description of a system by its large-scale variables. |
| Multiplicity (Ω) | The number of microstates corresponding to a macrostate. |
| Irreversible process | A process that cannot be reversed without leaving a net change in the universe. |
Avoid these mistakes
1
Saying entropy is the same as energy — it is measured in J K−1 and describes how energy is spread among microstates.
2
Defining entropy only as disorder — state that it depends on the number of microstates.
3
Thinking entropy can never decrease anywhere — a system can lose entropy if its surroundings gain more.
4
Using log10 in S = kB ln Ω — the natural logarithm is required.
5
Confusing a microstate with a macrostate — a macrostate contains many microstates.
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