Question

Describe how a system’s entropy changes if the system becomes more disordered during a process.

Short answer

When a system becomes more disordered during a process, its entropy increases. This is due to the particles or components being more randomly distributed over the available energy levels, resulting in a higher number of possible microstates. According to the second law of thermodynamics, any closed system will naturally evolve towards a state of maximum disorder, or randomness. An increase in disorder correlates with an increase in entropy, represented by a positive entropy change (\(ΔS > 0\)).

Step-by-step solution

Understand the concept of entropy

Entropy is a thermodynamic property that quantifies the degree of disorder or randomness in a system. It is represented by the symbol 'S' and is measured in units of joules per kelvin (J/K). Entropy can be thought of as a measure of how much energy is dispersed within a system or how effectively it is distributed among the particles in the system.

State the second law of thermodynamics

The second law of thermodynamics states that in any closed system undergoing a natural process, the total entropy of the system will increase. This implies that, without energy input from an external source, any closed system will tend to evolve towards a state of maximum disorder or randomness.

Discuss the entropy change during a process

Entropy change, denoted as ΔS, is the difference in entropy between the final state and the initial state of a system during a process. It can be calculated as follows: \(ΔS = S_{final} - S_{initial}\). If ΔS > 0, the system has become more disordered, indicating an increase in entropy. If ΔS < 0, the system has become more ordered, indicating a decrease in entropy. Finally, if ΔS = 0, the system has experienced no net change in its disorder, and its entropy remains constant.

Relate disorder to the entropy change

When a system becomes more disordered during a process, its particles or components are more randomly distributed over the available energy levels. This results in a higher number of possible microstates, which corresponds to an increase in entropy. Conversely, a more ordered system has fewer microstates and lower entropy. Therefore, we can say that any process which increases the disorder of a system will typically be accompanied by an increase in its entropy.

Key concepts

Second Law of Thermodynamics

The second law of thermodynamics is a fundamental principle that describes the natural tendencies of energy transfer and transformation in isolated systems. According to this law, in any closed or isolated system, the total entropy tends to increase over time. This is because energy spontaneously tends to spread and disperse, reaching an equilibrium where it is evenly distributed.
For example:

• In a natural process, like ice melting, heat flows from the warmer environment to the cooler ice, increasing the system's total entropy.
• The spread of aroma molecules when you open a perfume bottle is another instance of increasing entropy, as the particles move from an area of high concentration to a more randomly distributed state.

In essence, the second law suggests that systems move naturally towards disorder or chaos unless energy is put into them to create order. Thus, it explains why certain processes, like breaking an egg, happen readily while the reverse does not occur spontaneously.

Entropy Change

Entropy change is a way to quantify how much the disorder within a system changes during a given process. This change is often denoted by the symbol ΔS and calculated using the formula: \(ΔS = S_{final} - S_{initial}\).
This means:

• A positive ΔS indicates an increase in disorder or randomness and is associated with processes that occur naturally without external energy input. For instance, when ice melts to water, entropy increases.
• A negative ΔS signifies a decrease in disorder, meaning the system has become more ordered. Such processes usually require work or energy from outside, like freezing water into ice.
• If ΔS equals zero, there is no net change in the system's disorder or energy dispersion, which might represent an ideal, reversible process.

Understanding entropy change helps predict whether a process will occur spontaneously. Generally, processes with increasing disorder (higher entropy) are more likely to be spontaneous.

Thermodynamic Property

Entropy is a crucial thermodynamic property, acting as a measure of a system's randomness or disorder. Along with other thermodynamic properties like temperature and pressure, entropy helps define a system's state and behavior.
Thermodynamic properties are used extensively in:

• Predicting and analyzing energy exchanges in processes like combustion or refrigeration.
• Designing and optimizing engines, turbines, and other machinery to ensure they operate efficiently by minimizing wasted energy.

Each property, including entropy, offers unique insights into the state of a system. While entropy focuses on disorder, properties like enthalpy relate to energy exchange during heat transfer. Together, these properties help scientists and engineers understand and manipulate the way systems interact with their surroundings.