Title: New Vista On Excited States
1New Vista On Excited States
2Contents
- Monte Carlo Hamiltonian
- Effective Hamiltonian in low
- energy/temperature window
3- - Spectrum of excited states
- - Wave functions
- - Thermodynamical functions
- - Klein-Gordon model
- - Scalar f4 theory
- - Gauge theory
- Summary
4Critical review of Lagrangian vs Hamiltonian LGT
- Lagrangian LGT
- Standard approach- very sucessfull.
- Compute vacuum-to-vacuum transition amplitudes
- Limitation Excited states spectrum,
- Wave functions
5- Hamiltonian LGT
- Advantage Allows in principle for computation of
excited states spectra and wave functions. - BIG PROBLEM To find a set of basis states which
are physically relevant! - History of Hamilton LGT
- - Basis states constructed from mathematical
principles - (like Hermite, Laguerre, Legendre fct in QM).
BAD IDEA IN LGT!
6- Basis constructed via perturbation theory
- Examples Tamm-Dancoff, Discrete Light Cone
Field Theory, . - BIASED CHOICE!
7STOCHASTIC BASIS
- 2 Principles
- - Randomness To construct states which sample a
HUGH space random sampling is best. - - Guidance by physics Let physics tell us which
states are important. - Lesson Use Monte Carlo with importance
sampling! -
- Result Stochastic basis states.
- Analogy in Lagrangian LGT to eqilibrium
configurations of path integrals guided by
exp-S. -
8Construction of Basis
9Box Functions
10Monte Carlo Hamiltonian
H. Jirari, H. Kröger, X.Q. Luo, K.J.M. Moriarty,
Phys. Lett. A258 (1999) 6. C.Q. Huang, H.
Kröger,X.Q. Luo, K.J.M. Moriarty, Phys.Lett. A299
(2002) 483.
Transition amplitudes between position states.
Compute via path integral. Express as ratio of
path integrals. Split action S S_0 S_V
11Diagonalize matrix
Spectrum of energies and wave funtions
Effective Hamiltonian
12Many-body systems Quantum field
theory Essential Stochastic basis Draw nodes
x_i from probability distribution derived from
physics action.
Path integral. Take x_i as position of paths
generated by Monte Calo with importance sampling
at a fixed time slice.
13Thermodynamical functions
Definition
Lattice
Monte Carlo Hamiltonian
14Klein Gordon Model
X.Q.Luo, H. Jirari, H. Kröger, K.J.M. Moriarty,
Non-perturbative Methods and Lattice QCD, World
Scientific Singapore (2001), p.100.
15Energy spectrum
16 Free energy beta x F
17 Average energy U
18 Specific heat C/k_B
19Scalar Model
C.Q. Huang, H. Kröger, X.Q. Luo, K.J.M.
Moriarty Phys.Lett. A299 (2002) 483.
20Energy spectrum
21Free energy F
22Average energy U
23Entropy S
24Specific heat C
25Lattice gauge theory
26- Principle
- Physical states have to be gauge invariant!
- Construct stochastic basis of
- gauge invariant states.
27Abelian U(1) gauge group. Analogy Q.M. Gauge
theory
l number of links index of irreducible
representation.
28Fourier Theorem Peter Weyl Theorem
29Transition amplitude between Bargman states
30Transition amplitude between gauge invariant
states
31Result
- Gauss law at any vertex i
Plaquette angle
32Results From Electric Term
33Spectrum 1Plaquette
34Spectrum 2 Plaquettes
35Spectrum 4 Plaquettes
36Spectrum 9 Plaquettes
37Energy Scaling Window 1 Plaquette
38Energy scaling window (fixed basis)
39Energy scaling window 4 Plaq
404 Plaquettes a_s1
41Scaling Window Wave Functions
42Scaling Energy vs.Wave Fct
43Scaling Energy vs. Wave Fct.
44Average Energy U
45Free Energy F
46Entropy S
47Specific Heat C
48Including Magnetic Term
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53IV. Outlook
- Application of Monte Carlo Hamiltonian
- - Spectrum of excited states
- Wave functions
- Hadronic structure functions (x_B, Q2) in QCD
(?) - - S-matrix, scattering and decay amplitudes.
- Finite density QCD (?)