Can QM be described by Markov chain theory?

In summary, the intensity of spectral lines can be described using Markov theory, where the final state of the system becomes a stationary vector representing the intensity. However, this is not possible in classical probability theory due to the requirement of continuous transformations between pure states in quantum mechanics. The paper "From quantum mechanics to classical statistical physics" explains how matrices that are SMF decomposable correspond to stochastic classical systems, which can control the zero-temperature quantum phase diagram and excitation spectrum.
  • #1
Adel Makram
635
15
Can we describe the intensity of spectral lines using Markov theory? No matter what is the initial state vector of the system, the final state will be reduced to a stationary vector whose elements represent the intensity of the spectral lines.
 
Physics news on Phys.org
  • #3
http://arxiv.org/abs/cond-mat/0502068
From quantum mechanics to classical statistical physics: generalized Rokhsar-Kivelson Hamiltonians and the "Stochastic Matrix Form" decomposition

"Matrices that are SMF decomposable are shown to be in one-to-one correspondence with stochastic classical systems described by a Master equation of the matrix type, hence their name. It then follows that the equilibrium partition function of the stochastic classical system partly controls the zero-temperature quantum phase diagram, while the relaxation rates of the stochastic classical system coincide with the excitation spectrum of the quantum problem."
 

Related to Can QM be described by Markov chain theory?

1. Can quantum mechanics (QM) be described by Markov chain theory?

Quantum mechanics is a fundamental theory that describes the behavior of matter and energy at a very small scale. Markov chain theory, on the other hand, is a mathematical framework used to model systems that exhibit random or probabilistic behavior. While there are some connections between the two theories, QM cannot be fully described by Markov chain theory as it does not account for the probabilistic nature of quantum particles.

2. What is the main difference between quantum mechanics and Markov chain theory?

The main difference between the two theories is that quantum mechanics deals with the behavior of individual particles at a very small scale, while Markov chain theory deals with the behavior of systems that consist of many particles and exhibit random behavior.

3. Are there any similarities between quantum mechanics and Markov chain theory?

While there are differences between the two theories, there are also some similarities. Both theories use mathematical equations to describe the behavior of systems, and both involve probabilities in their calculations. Additionally, some aspects of quantum mechanics, such as the concept of superposition, can be described using Markov chain theory.

4. Can Markov chain theory be used to predict quantum phenomena?

No, Markov chain theory cannot be used to predict quantum phenomena. QM is a well-established theory that has been extensively tested and verified through experiments, while Markov chain theory is limited in its scope and cannot fully describe the behavior of quantum particles.

5. How do scientists use Markov chain theory in the study of quantum mechanics?

Markov chain theory can be used as a tool to study various aspects of quantum mechanics, such as the behavior of quantum systems over time or the probabilities of different outcomes in quantum experiments. It can also be used to simulate quantum systems, which can help scientists better understand and visualize complex quantum phenomena.

Similar threads

Replies
93
Views
5K
Replies
2
Views
1K
  • Precalculus Mathematics Homework Help
Replies
24
Views
2K
Replies
1
Views
643
Replies
24
Views
1K
Replies
36
Views
3K
Replies
3
Views
722
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
2K
  • Quantum Physics
4
Replies
115
Views
6K
  • Set Theory, Logic, Probability, Statistics
Replies
3
Views
1K
Back
Top