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 Mar15 asked Why differential entropy is called “differential” Jul2 awarded Curious Mar16 accepted Diagonalization of $M=ab^t+ba^t$ Mar5 awarded Yearling Jan13 comment Diagonalization of $M=ab^t+ba^t$ @yoirgos: thanks ! Can you conclude and give the values of $\lambda_1$ and $\lambda_2$ and the formula for the associated eigenvectors ? Jan13 asked Diagonalization of $M=ab^t+ba^t$ Jan16 revised What is the definition of front propagation? added 57 characters in body Jan16 asked What is the definition of front propagation? Oct25 comment Approximation of stochastic differential equations @TheBridge : thanks. Of course studying z_t and applying Gronwall Lemma is the classical strategy. But here the problem is that you cannot bound the Lipschitz coefficient because it is only assumed locally lipschitz... Oct24 asked Approximation of stochastic differential equations Aug14 awarded Tumbleweed Jul8 accepted spectral norm of random matrix Jul6 awarded Nice Question May2 awarded Commentator May2 accepted Linear inhomogeneous PDE May2 comment Linear inhomogeneous PDE Thnak you! I give you the answer. May1 comment Linear inhomogeneous PDE Thank you very much. I think your value of $\lambda^*$ slightly overestimates the real one. This is maybe because $\bar{u}-u$ is not completely negligible as you mentioned. How could we improve your estimate ? May1 asked Linear inhomogeneous PDE May1 comment Eigenvalues of the 1D laplacian with mixed boundary conditions @GiuseppeNegro Thank you! It confirms my first intuition then. So I guess we cannot solve $u=\Delta u$ with such B.C. using the usual separation of variable method... Because when doing so, we decompose the solution along the eigenvectors, and here without a discrete spectrum I do not know how to do it. Apr30 comment Eigenvalues of the 1D laplacian with mixed boundary conditions @GiuseppeNegro Hi, thanks for the hint; I tried this already. I find a zero eigenvalue (ok) but then I cannot exclude positive eigenvalues, and I do not get a discrete spectrum. So I believe I may be wrong.