Graduate Which is the quantized variable in quantum gravity?

Click For Summary
In Quantum Mechanics, quantization involves promoting variables into probability distributions, as demonstrated by Feynman's path integral formulation. This approach addresses limitations in classical assumptions, particularly in scenarios like particle scattering where new particles are created. The discussion raises the question of what variable in gravity should be quantized, suggesting that the traditional focus on the metric may not be the most effective choice. It emphasizes the importance of selecting the right variables in physics, hinting at the potential for alternative quantization methods beyond the canonical approach. Loop quantum gravity is mentioned as a notable proposal in this context.
jordi
Messages
197
Reaction score
14
In Quantum Mechanics, the position (or momentum) variable is quantized. I define "quantization" as promoting a variable into a probability distribution.

For example, with the double slit experiment, the classical assumption that the position/path of a particle is "unique" cannot explain observations. Feynman promoted paths from "fixed variables" into a probability distribution (path integral), and this solved the problem.

In second quantization, the "fixed variable" number-of-particles is promoted into a probability distribution ("grand-canonical-distribution"), and this solves the problem that when we scatter several particles at high energy (high enough to create new particles), it is impossible to have a path integral with a fixed number of particles that gives the experimental values.

The physical reason is that new particles are being created during the scattering, an the probability distribution of "paths" à la Feynman is not enough: one needs blobs that represent virtual particle creation. So, one needs a "probability distribution for the number of particles".

In formal terms, the quantization is usually defined as promoting variables into operators. And if one does this, everything works well. But intuitively, I like more the explanation of the promotion of variables into probability distributions (either paths or number of particles), since this explanation relates more to the physical reasons for the need of a new theory.

But what happens with gravity?

If we take the canonical approach, it seems obvious that what we have to do is to promote the metric into an operator, in analogy to the first and second quantization, which were successful that way. But we know that this canonical approach fails.

But what if we tried to find a new variable to be quantized, not as in the canonical approach (which says "the right variable to be quantized is the metric") but in the physical way:

What is the equivalent in gravity of paths or number of particles? In other words, what is fixed in QFT, but variable in gravity?

Of course, one answer to this question is "geometries", and this leads us to the canonical approach, which fails. But maybe there are more interesting answers?

In fact, in physics in general (in condensed matter in particular) the choice of variables to describe a problem is essential. Maybe the metric is not the right variable to be quantized, but something (slightly) different.

Are there proposals of other variables to be quantized for gravity, in the literature?
 
Physics news on Phys.org
"Supernovae evidence for foundational change to cosmological models" https://arxiv.org/pdf/2412.15143 The paper claims: We compare the standard homogeneous cosmological model, i.e., spatially flat ΛCDM, and the timescape cosmology which invokes backreaction of inhomogeneities. Timescape, while statistically homogeneous and isotropic, departs from average Friedmann-Lemaître-Robertson-Walker evolution, and replaces dark energy by kinetic gravitational energy and its gradients, in explaining...

Similar threads

  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 16 ·
Replies
16
Views
6K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 6 ·
Replies
6
Views
4K
  • · Replies 2 ·
Replies
2
Views
4K
Replies
2
Views
3K
  • · Replies 24 ·
Replies
24
Views
7K
  • · Replies 17 ·
Replies
17
Views
3K