Why do collapse functions change form in master equations?

In summary, the GRW spontaneous collapse model involves random jumps in the wave-function according to a Gaussian distribution. However, in the 1-particle GRW master equation for density matrices, the collapse function changes in form and includes a temporal distribution parameter. The reason for these changes is not clearly explained in standard presentations, and the question asks for an explanation of why the same operator can have different mathematical forms when applied to the wave-function or the density matrix.
  • #1
Agrippa
78
10
In the GRW spontaneous collapse model (for example) the wave-function evolves by linear Schrödinger equation, except, at random times, wave-function experiences a jump of the form:

[itex] \psi_t(x_1, x_2, ..., x_n) \rightarrow \frac{L_n(x)\psi_t(x_1, x_2, ..., x_n)}{||\psi_t(x_1, x_2, ..., x_n)||} [/itex]

Where ## \psi _t(x_1, x_2, ..., x_n) ## is system state vector prior to jump and Ln(x) is a linear operator equal to:

[itex] L_n(x) = \frac{1}{(\pi r^2_c)^{3/4}}e^{-(q_n - x)^2 / 2r^2_c} [/itex]

So at random times, position wave-function is multiplied by a Gaussian (with width ##r_c##; ##q_n## is position operator for nth particle, and x is where collapse occurs); so far so good. But now we move to 1-particle GRW master equation for density matrix:

[itex] \frac{d}{dt}\rho(t) = -\frac{i}{\hbar}[H, \rho(t)] - T[\rho(t)] [/itex]

where H is standard quantum Hamiltonian and T[] represents effect of spontaneous collapse. In position representation:

[itex] <x|T[\rho(t)]|y> = \lambda[1 - e^{-(x - y)^2 / 4r^2_c}]<x|T[\rho(t)]|y> [/itex]

where ##\lambda## represents temporal distribution of collapses such that probability per second for collapse is ##10^{-16}sec^{-1}. ##

Clearly, form of collapse function has changed, but why? Standard presentations (e.g. pp.30-33) never explain the change.

Is there anyone out there who knows the math well enough to be able to explain why all the changes occur e.g. why do we replace the initial fraction with "1 - "? And why replace ##2r^2_c## with ##4r^2_c##?

What would go wrong if we simply replaced ##1 - e^{-(x - y)^2 / 4r^2_c}## with ##\frac{1}{(\pi r^2_c)^{3/4}}e^{-(q_n - x)^2 / 2r^2_c}## ?
 
  • #3
The question, I think, concerns the difference between operators on the wave-function and operators on density matrices. Why does the same operator change mathematical form depending on whether we are applying it to the wave function of state S or the density matrix for that same state S? What are the general principles that tell us how to transform the operators?
 

Related to Why do collapse functions change form in master equations?

1. Why do collapse functions change form in master equations?

The collapse of a quantum state is a fundamental process in quantum mechanics, and it is described by a collapse function in the master equation. This function captures the probabilistic nature of the collapse and how it affects the evolution of a quantum system. The form of the collapse function can change due to various factors such as the type of measurement being performed, the interaction between the system and the environment, and the initial state of the system. These changes in form are necessary to accurately describe the behavior of quantum systems in different scenarios.

2. How do changes in collapse functions affect the behavior of quantum systems?

The collapse function in a master equation plays a crucial role in determining the behavior of a quantum system. Changes in its form can affect the rate of collapse, the probability of finding the system in a particular state, and the overall evolution of the system. For example, a faster collapse rate can result in a more stable state, while a slower rate can lead to a more dynamic and uncertain state. Therefore, understanding the changes in collapse functions is crucial for studying and controlling the behavior of quantum systems.

3. Can collapse functions be predicted or controlled?

The form of the collapse function in a master equation is determined by various factors, and it is challenging to predict or control its exact form in a given scenario. However, researchers have developed techniques to approximate the collapse function and manipulate it to some extent. These techniques involve methods such as quantum feedback control and continuous measurement, which can influence the collapse process and modify the collapse function accordingly.

4. How do collapse functions relate to the measurement problem in quantum mechanics?

The measurement problem in quantum mechanics refers to the challenge of understanding how a quantum system transitions from a superposition of states to a definite state when measured. The collapse function in a master equation is the mathematical representation of this process. It describes the probability of the system collapsing to a particular state, depending on the measurement being performed. Therefore, changes in the collapse function can shed light on the measurement problem and provide insights into the nature of quantum measurements.

5. Are there different types of collapse functions?

Yes, there are different types of collapse functions used in master equations to describe the collapse of quantum states. The most common types are the Lindblad and the von Neumann collapse functions. The Lindblad collapse function is used for open quantum systems, where the system interacts with an external environment, while the von Neumann collapse function is used for closed quantum systems. There are also other types of collapse functions, such as projective measurements and generalized measurements, which are used for specific types of measurements and scenarios.

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