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Entropy Definition and Calculation

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Logarithmic Functions ReviewReversible Isothermal Expansion+3 more→→Entropy Calculations from Property Tables and EquationsEntropy and the Second Law: Irreversibility+1 more
entropy reversible thermodynamic-definition

Core Idea

For a reversible process, entropy change is defined as dS = dQ_rev / T. For an ideal gas expanding isothermally, ΔS = nR ln(V_f/V_i). Entropy is a state function—it depends only on the current state, not the path. This definition provides a rigorous connection between heat, temperature, and microscopic disorder.

Explainer

The second law of thermodynamics tells you that certain processes are irreversible — heat flows from hot to cold, not the reverse; compressed gas expands spontaneously but doesn't spontaneously recompress. You know this from experience, but you also know it leaves something unexplained: *how much* more irreversible is one process than another? Entropy is the answer. It is a state function that quantifies the direction and degree of thermodynamic change, turning the qualitative arrow of time into a calculable quantity.

The definition dS = dQ_rev / T requires care. The subscript *rev* is doing all the work: it says you must calculate the entropy change by imagining a reversible path between the initial and final states, even if the actual process was irreversible. This is valid because entropy is a state function — like internal energy U, it depends only on the current state, not on how you got there. So you are free to choose the most convenient reversible path connecting the same two endpoints and integrate dQ/T along it. For an isothermal reversible expansion of an ideal gas from V_i to V_f, all the heat absorbed is Q_rev = nRT ln(V_f/V_i) (since internal energy doesn't change for an ideal gas at constant T), giving ΔS = nR ln(V_f/V_i).

Two cases illustrate the state-function nature. First: an ideal gas that expands irreversibly into a vacuum absorbs no heat (Q = 0, since it pushes against nothing), so you might naively conclude ΔS = 0. But entropy still increases — you must use the reversible path (the isothermal expansion), not the actual path. The entropy change is ΔS = nR ln(V_f/V_i) > 0 regardless. Second: a heat engine absorbs Q_H from a hot reservoir at T_H and rejects Q_C to a cold reservoir at T_C. The engine's entropy change over a cycle is zero (it returns to the same state). The total entropy change of the universe is −Q_H/T_H + Q_C/T_C, which the second law says must be ≥ 0. This forces Q_C/T_C ≥ Q_H/T_H, giving you the Carnot efficiency limit directly from the entropy definition.

The connection to microscopic disorder comes from Boltzmann's relation S = k_B ln W, where W is the number of microstates consistent with the macroscopic state. This is not a separate definition — it turns out to be equivalent to the thermodynamic definition for systems in thermal equilibrium. The logarithm is why entropy is additive: if you have two independent systems with W₁ and W₂ microstates, the combined system has W₁W₂ microstates, and ln(W₁W₂) = ln W₁ + ln W₂. The connection between dQ_rev/T and ln W is one of the deepest results in physics, bridging macroscopic thermodynamics and statistical mechanics in a single formula.

Practice Questions 5 questions

Prerequisite Chain

Understanding Zero → The Number Zero → Counting to Five → Counting to 10 → Counting to 20 → Counting a Set of Objects Up to 20 → Cardinality: The Last Number Counted → Matching Numerals to Quantities → Subitizing Small Quantities → Addition Within 10 → Number Bonds to 10 → Addition Within 20 → Doubles and Near Doubles → Doubles Facts Within 10 → Near Doubles Facts Within 20 → Mental Math Strategies for Addition → Mental Math: Adding and Subtracting Tens → Addition Within 100 → Repeated Addition as Multiplication → Multiplication as Equal Groups → Multiplication: Arrays → Basic Multiplication Facts (0s, 1s, 2s, 5s, 10s) → Multiplication Facts Within 100 → Division as Equal Sharing → Division as Grouping (Measurement Division) → Division: Grouping (Repeated Subtraction) Model → Division: Fair Sharing Model → Division as Equal Sharing → Division as Grouping → Basic Division Facts → Division Facts Within 100 → Multiplication and Division Fact Families → Relationship Between Multiplication and Division → Division Facts as Inverse of Multiplication → Remainders and Quotients in Division → Division Word Problems → Multi-Step Word Problems → Solving Multi-Step Word Problems → Multiplication Word Problems → Division Word Problems → Introduction to Long Division → Factors and Multiples → Prime and Composite Numbers → Equivalent Fractions → Relating Fractions and Decimals → Decimal Place Value → Integers and the Number Line → Comparing and Ordering Integers → Absolute Value → Adding Integers → Subtracting Integers → Multiplying Integers → Dividing Integers → Unit Rates → Proportions → Percent Concept → Converting Between Fractions, Decimals, and Percents → Operations with Rational Numbers → Two-Step Equations → Solving Multi-Step Equations → Equations with Variables on Both Sides → Angle Pairs: Complementary, Supplementary, and Vertical → Parallel Lines and Transversals → Corresponding Angles → Alternate Interior Angles → Triangle Angle Sum Theorem → Exterior Angle Theorem → Triangle Inequality Theorem → Similar Triangles: AA Similarity → Similar Triangles: SSS and SAS Similarity → Proportions in Similar Triangles → Right Triangle Trigonometry Introduction → Sine, Cosine, and Tangent Ratios → Trigonometric Ratios Review → Radian Measure → Converting Between Degrees and Radians → The Unit Circle → Graphing Sine and Cosine → Graphing Tangent and Reciprocal Trigonometric Functions → Derivatives of Trigonometric Functions → Antiderivatives → Indefinite Integrals → Basic Integration Rules → Riemann Sums → Definite Integral Definition → Double Integrals: Definition and Setup → Iterated Integrals and Fubini's Theorem → Double Integrals over Rectangular Regions → Double Integrals over General Regions → Applications of Double Integrals: Area, Mass, and Moments → Center of Mass → Conservation of Linear Momentum → Elastic Collisions → Inelastic Collisions → Coefficient of Restitution → Collision Analysis and Real-World Applications → Two-Body Collisions in the Center-of-Mass Frame → Reduced Mass and Two-Body Problems → Kinematics in Two Dimensions → Projectile Motion → Circular Motion: Kinematics → Rotational Kinematics → Torque → Moment of Inertia → Rotational Kinetic Energy → The Work-Energy Theorem → Conservation of Mechanical Energy → First Law of Thermodynamics → Thermodynamic Processes and the PV Diagram → Intensive and Extensive Properties → State Variables and Functions → Path Functions versus State Functions → Types of Work: Mechanical PdV and Beyond → Polytropic Processes and the Polytropic Index → P-V Diagram Interpretation and Thermodynamic Processes → Boundary Work and P-V Diagrams → Reversible Adiabatic (Isentropic) Processes → Reversible Isothermal Expansion → Entropy Definition and Calculation

Longest path: 119 steps · 683 total prerequisite topics

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