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BGS conjecture 1/1 https://en.wikipedia.org/wiki/BGS_conjecture reference science, encyclopedia 2026-05-05T11:04:51.490503+00:00 kb-cron

The BohigasGiannoniSchmit (BGS) conjecture also known as the random matrix conjecture) for simple quantum mechanical systems (ergodic with a classical limit) few degrees of freedom holds that spectra of time reversal-invariant systems whose classical analogues are K-systems show the same fluctuation properties as predicted by the GOE (Gaussian orthogonal ensembles). Alternatively, the spectral fluctuation measures of a classically chaotic quantum system coincide with those of the canonical random-matrix ensemble in the same symmetry class (unitary, orthogonal, or symplectic). That is, the Hamiltonian of a microscopic analogue of a classical chaotic system can be modeled by a random matrix from a Gaussian ensemble as the distance of a few spacings between eigenvalues of a chaotic Hamiltonian operator generically statistically correlates with the spacing laws for eigenvalues of large random matrices. A simple example of the unfolded quantum energy levels in a classically chaotic system correlating like that would be Sinai billiards:

Energy levels:

    
    
      
        
          ℏ
          
            2
          
        
        
          2
          
            
              m
            
          
        
      
    
    
      ▽
      
        2
      
    
    ψ
    +
    
      
        V
      
    
    (
    
      
        x
      
    
    )
    ψ
    =
    
      
        
          
            E
          
        
        
          
            i
          
        
      
    
    ψ
  

{\displaystyle -{\frac {\hbar ^{2}}{2{\mathit {m}}}}\bigtriangledown ^{2}\psi +{\mathit {V}}({\mathit {x}})\psi ={{\mathit {E}}_{\mathit {i}}}\psi }

Spectral density:

    ρ
    (
    
      
        x
      
    
    )
    =
    
      ∑
      
        
          i
        
      
    
    δ
    (
    
      
        x
      
    
    
    
      
        
          E
        
      
      
        
          i
        
      
    
    )
  

{\displaystyle \rho ({\mathit {x}})=\sum _{\mathit {i}}\delta ({\mathit {x}}-{\mathit {E}}_{\mathit {i}})}

Average spectral density:

ρ
    (
    
      
        x
      
    
    )
    ⟩
  

{\displaystyle \langle \rho ({\mathit {x}})\rangle }

Correlation:

ρ
    (
    
      
        x
      
    
    )
    ρ
    (
    
      
        y
      
    
    )
    ⟩
    ρ
    (
    
      
        x
      
    
    )
    ⟩
    ⟨
    ρ
    (
    
      
        y
      
    
    )
    ⟩
  

{\displaystyle \langle \rho ({\mathit {x}})\rho ({\mathit {y}})\rangle -\langle \rho ({\mathit {x}})\rangle \langle \rho ({\mathit {y}})\rangle }

Unfolding:

    ρ
    (
    
      
        x
      
    
    )
    →
    
      
        
          ρ
          (
          
            
              x
            
          
          )
        
        
          ⟨
          ρ
          (
          
            
              x
            
          
          )
          ⟩
        
      
    
  

{\displaystyle \rho ({\mathit {x}})\rightarrow {\frac {\rho ({\mathit {x}})}{\langle \rho ({\mathit {x}})\rangle }}}

Unfolded correlation:

ρ
          (
          
            
              x
            
          
          )
          ρ
          (
          
            
              y
            
          
          )
          ⟩
        
        
          ⟨
          ρ
          (
          
            
              x
            
          
          )
          ⟩
          ⟨
          ρ
          (
          
            
              y
            
          
          )
          ⟩
        
      
    
    
    1
  

{\displaystyle {\frac {\langle \rho ({\mathit {x}})\rho ({\mathit {y}})\rangle }{\langle \rho ({\mathit {x}})\rangle \langle \rho ({\mathit {y}})\rangle }}-1}

BGS conjecture:

ρ
          (
          
            
              x
            
          
          )
          ρ
          (
          
            
              y
            
          
          )
          ⟩
        
        
          ⟨
          ρ
          (
          
            
              x
            
          
          )
          ⟩
          ⟨
          ρ
          (
          
            
              y
            
          
          )
          ⟩
        
      
    
    
    1
    =
    
      
        
          ⟨
          ρ
          (
          
            
              x
            
          
          )
          ρ
          (
          
            
              y
            
          
          )
          
            ⟩
            
              RMT
            
          
        
        
          ⟨
          ρ
          (
          
            
              x
            
          
          )
          
            ⟩
            
              RMT
            
          
          ⟨
          ρ
          (
          
            
              y
            
          
          )
          
            ⟩
            
              RMT
            
          
        
      
    
    
    1
  

{\displaystyle {\frac {\langle \rho ({\mathit {x}})\rho ({\mathit {y}})\rangle }{\langle \rho ({\mathit {x}})\rangle \langle \rho ({\mathit {y}})\rangle }}-1={\frac {\langle \rho ({\mathit {x}})\rho ({\mathit {y}})\rangle _{\operatorname {RMT} }}{\langle \rho ({\mathit {x}})\rangle _{\operatorname {RMT} }\langle \rho ({\mathit {y}})\rangle _{\operatorname {RMT} }}}-1}

The conjecture remains unproven despite supporting numerical evidence.

== References ==

== Links == the BGS conjecture in Scholarpedia.