The paper by Liberzon and Brockett, "Spectral analysis of Fokker–Planck and related operators arising from linear stochastic differential equations." SIAM Journal on Control and Optimization 38.5 (2000): 1453-1467" studies the spectrum of the Fokker–Planck operator with linear drift, in $\mathbf{R}$. Proposition 2 states that the eigenvalues of the operator $L_{\sigma}:=\sigma\partial_{xx}+x\partial_x+1$ for $\sigma>0$ are all complex numbers with real parts less than $1/2$. The domain is chosen to be a dense subset of $L^2(\mathbf{R})$.
The proof that all negative integers are eigenvalues is straightforward by looking at the action of the operator on (modified) Hermite functions $u_k(x)$, which are the usual Hermite functions with some appropriate scalings. The relationship is:
$L_{\sigma}u_k=-ku_k+\sqrt{k(k-1}u_{k-2}$, which shows that the matrix is upper triangular in the ${u_k}$ basis, with $-k$ on the diagonals.
However the paper doesn't provide detail for the proving the:
Main claim : All complex numbers with real part less than 0.5 are eigenvalues.
Proof sketch from paper: The paper says that using the above relation of action on $u_k$, one can see (but I don't see how) that a scalar $\lambda$ will be an eigenvalue if one of the following series converges:
- $\sum_{n=1}^{\infty} \dfrac{\lambda^2(\lambda+2)^2\dotsm(\lambda+2n-2)^2}{(2n)!}$
or
- $\sum_{n=1}^{\infty} \dfrac{(\lambda+1)^2(\lambda+3)^2\dotsm(\lambda+2n-1)^2}{(2n+1)!}$
which is then shown (as proved by Giorgio Metafune in comments also) to give the condition $\operatorname{Real}(\lambda)<0.5$.
Can anyone prove the above claim or give any hints ?