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Given a compact, -dimensional Riemann manifold and a large positive constant we denote by the subspace of spanned by the eigenfunctions of the Laplacian corresponding to eigenvalues . We equip with the standard Gaussian probability measure induced by the -metric on , and we denote by the expected number of critical points of a random function in . We prove that as , where is an explicit positive constant that depends only on the dimension and satisfying the asymptotic estimate $\log C_m\sim\frac{m}{2}\log mm\to \infty$.

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