renormalisation in lqc with su 1 1 techniques
play

Renormalisation in LQC with SU(1,1) techniques Norbert Bodendorfer - PowerPoint PPT Presentation

Renormalisation in LQC with SU(1,1) techniques Norbert Bodendorfer University of Regensburg based on: 1811.02792 (w. Fabian Haneder) and 1904.13269 (w. Dennis Wuhrer) Jurekfest, September 20, 2019 Talk in a nutshell Coarse graining with SU (1


  1. Renormalisation in LQC with SU(1,1) techniques Norbert Bodendorfer University of Regensburg based on: 1811.02792 (w. Fabian Haneder) and 1904.13269 (w. Dennis Wuhrer) Jurekfest, September 20, 2019

  2. Talk in a nutshell Coarse graining with SU (1 , 1) techniques: Why is it interesting? Renormalisation necessary in QFT Largely ignored in LQG / LQC (complicated!) Analytically tractable models are welcome What do we do? Coarse graining for cosmological spacetimes Technical basis: su(1 , 1) algebra Everything works on (copies of) LQC Hilbert space What is new? Analytic “many small” to “few large” spin coarse graining Renormalised large spin Hamiltonian capturing small spin physics Example of error made when neglecting renormalisation 2

  3. Talk in a nutshell Coarse graining with SU (1 , 1) techniques: Why is it interesting? Renormalisation necessary in QFT Largely ignored in LQG / LQC (complicated!) Analytically tractable models are welcome What do we do? Coarse graining for cosmological spacetimes Technical basis: su(1 , 1) algebra Everything works on (copies of) LQC Hilbert space What is new? Analytic “many small” to “few large” spin coarse graining Renormalised large spin Hamiltonian capturing small spin physics Example of error made when neglecting renormalisation 2

  4. Talk in a nutshell Coarse graining with SU (1 , 1) techniques: Why is it interesting? Renormalisation necessary in QFT Largely ignored in LQG / LQC (complicated!) Analytically tractable models are welcome What do we do? Coarse graining for cosmological spacetimes Technical basis: su(1 , 1) algebra Everything works on (copies of) LQC Hilbert space What is new? Analytic “many small” to “few large” spin coarse graining Renormalised large spin Hamiltonian capturing small spin physics Example of error made when neglecting renormalisation 2

  5. Talk in a nutshell Coarse graining with SU (1 , 1) techniques: Why is it interesting? Renormalisation necessary in QFT Largely ignored in LQG / LQC (complicated!) Analytically tractable models are welcome What do we do? Coarse graining for cosmological spacetimes Technical basis: su(1 , 1) algebra Everything works on (copies of) LQC Hilbert space What is new? Analytic “many small” to “few large” spin coarse graining Renormalised large spin Hamiltonian capturing small spin physics Example of error made when neglecting renormalisation 2

  6. Talk in a nutshell Coarse graining with SU (1 , 1) techniques: Why is it interesting? Renormalisation necessary in QFT Largely ignored in LQG / LQC (complicated!) Analytically tractable models are welcome What do we do? Coarse graining for cosmological spacetimes Technical basis: su(1 , 1) algebra Everything works on (copies of) LQC Hilbert space What is new? Analytic “many small” to “few large” spin coarse graining Renormalised large spin Hamiltonian capturing small spin physics Example of error made when neglecting renormalisation 2

  7. Table of contents Coarse graining in LQC 1 SU(1,1) techniques 2 Implementation on the LQC Hilbert space 3 Error estimation of non-renormalised dynamics 4 Concluscion 5 3

  8. Outline Coarse graining in LQC 1 SU(1,1) techniques 2 Implementation on the LQC Hilbert space 3 Error estimation of non-renormalised dynamics 4 Concluscion 5 4

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend


More recommend