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Chris Beck

Publications and source records attributed to Chris Beck.

3 recordsLinked to original sources

Represent MOD function by low degree polynomial with unbounded one-sided error

In this paper, we prove tight lower bounds on the smallest degree of a nonzero polynomial in the ideal generated by $MOD_q$ or $\neg MOD_q$ in the polynomial ring $F_p[x_1, \ldots, x_n]/(x_1^2 = x_1, \ldots, x_n^2 = x_n)$, $p,q$ are coprime, which is called \emph{immunity} over $F_p$. The immunity of $MOD_q$ is lower bounded by $\lfloor (n+1)/2 \rfloor$, which is achievable when $n$ is a multiple of $2q$; the immunity of $\neg MOD_q$ is exactly $\lfloor (n+q-1)/q \rfloor$ for every $q$ and $n$. Our result improves the previous bound $\lfloor \frac{n}{2(q-1)} \rfloor$ by Green. We observe how immunity over $F_p$ is related to $\acc$ circuit lower bound. For example, if the immunity of $f$ over $F_p$ is lower bounded by $n/2 - o(\sqrt{n})$, and $|1_f| = Ω(2^n)$, then $f$ requires $\acc$ circuit of exponential size to compute.

cs.CC

Unfolding Rates for the Diffusion-Collision Model

In the diffusion-collision model, the unfolding rates are given by the likelihood of secondary structural cluster dissociation. In this work, we introduce an unfolding rate calculation for proteins whose secondary structural elements are $α$-helices, modeled from thermal escape over a barrier which arises from the free energy in buried hydrophobic residues. Our results are in good agreement with currently accepted values for the attempt rate.

cond-mat.soft

Protein Unfolding and the Diffusion Collision Model

In the diffusion-collision model, the unfolding or backward rates are given by the likelihood of secondary structural cluster dissociation. In this work, we introduce a backward rate calculation modeled from a Kramers-type thermal tunneling through a barrier, which represents the free energy potential well for buried hydrophobic residues. Our results are in good agreement with currently accepted values and the approach suggests a link between the diffusion-collision and folding funnel models of protein folding.

cond-mat.soft