Adiabatic Theorem: Thermodynamics & Quantum Mechanics

In summary, thermodynamics and quantum mechanics have different definitions of adiabatic processes. In thermodynamics, it refers to a change that happens quickly and does not allow for significant heat transfer, such as in a compression stroke of a diesel engine. In quantum mechanics, adiabatic processes involve gradual changes that occur at a rate much slower than the natural evolution of the system, meaning no significant energy is transferred. These definitions are not the same and may not be directly related.
  • #1
mmwave
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When studying Thermodynamics, we make much use of adiabatic processes where a change is made so fast that no significant heat can flow. For example, the compression stroke of a diesel engine.

In quantum mechanics, it seems they turn the definition on its head, adiabatic is defined as a change to the system that occurs gradually compared to the evolution of the unperturbed system. An example is a pendulum of period T with its length changing slowly compared to T.

Are these two definitions somehow the same? Are they even related? I can't make sense of this.
 
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  • #2
No significant heat (energy) can flow. In the quick thermo process the time is to short for a flow rate of any size to transfer significant energy. In the adiabatic condition in QM the rate is controlled to be arbitrarily low, so that no significant amount is transferred in the long slow process..
 
  • #3


The adiabatic theorem in thermodynamics and quantum mechanics may seem contradictory at first glance, but they are actually related in the sense that they both involve changes to a system without any significant heat transfer. However, the way in which this change occurs is different in each discipline.

In thermodynamics, an adiabatic process is one in which the change happens quickly enough that there is no time for heat to flow into or out of the system. This is often seen in the compression stroke of a diesel engine, where the fuel is rapidly compressed and ignited, causing an increase in temperature and pressure without any heat transfer from the surroundings.

In contrast, the adiabatic process in quantum mechanics refers to a change that occurs slowly and gradually compared to the natural evolution of the system. An example of this is a pendulum with its length changing slowly over time. In this case, the change is gradual enough that the system can adjust and remain in its ground state, without any significant energy transfer.

So, while the two definitions may seem contradictory, they are actually addressing different aspects of adiabatic processes. In thermodynamics, the focus is on the speed of the process, while in quantum mechanics, it is on the rate of change. Both definitions are valid and important in their respective fields, and they are not interchangeable.
 

1. What is the Adiabatic Theorem?

The Adiabatic Theorem is a fundamental principle in both thermodynamics and quantum mechanics. It states that in a closed system, if a change occurs slowly enough, the system will remain in its original state.

2. How does the Adiabatic Theorem relate to thermodynamics?

In thermodynamics, the Adiabatic Theorem is used to describe temperature changes in a system. It states that if a process occurs without any heat transfer, the internal energy of the system will remain constant.

3. What is the significance of the Adiabatic Theorem in quantum mechanics?

In quantum mechanics, the Adiabatic Theorem is used to describe the behavior of a quantum particle in a changing field. It states that if the external conditions of a system change slowly enough, the system will remain in its original quantum state.

4. What are the limitations of the Adiabatic Theorem?

The Adiabatic Theorem is only applicable to closed systems and does not take into account external factors such as friction or dissipation. It also assumes that the process occurs slowly enough for the system to remain in equilibrium.

5. How is the Adiabatic Theorem used in practical applications?

The Adiabatic Theorem is used in various fields, such as thermodynamics, quantum computing, and atmospheric science. It helps in understanding and predicting the behavior of systems under changing conditions, and is crucial in the development of technologies such as heat engines and quantum algorithms.

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