Abstract: 
We prove a new central limit theorem (CLT) for the difference of linear eigenvalue statistics of a Wigner random matrix
H
and its minor
Hˆ
and find that the fluctuation is much smaller than the fluctuations of the individual linear statistics, as a consequence of the strong correlation between the eigenvalues of
H
and
Hˆ
. In particular, our theorem identifies the fluctuation of Kerov’s rectangular Young diagrams, defined by the interlacing eigenvalues of
H
and
Hˆ
, around their asymptotic shape, the Vershik–Kerov–Logan–Shepp curve. Young diagrams equipped with the Plancherel measure follow the same limiting shape. For this, algebraically motivated, ensemble a CLT has been obtained in Ivanov and Olshanski [20] which is structurally similar to our result but the variance is different, indicating that the analogy between the two models has its limitations. Moreover, our theorem shows that Borodin’s result [7] on the convergence of the spectral distribution of Wigner matrices to a Gaussian free field also holds in derivative sense.
