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Shreyhaan Sarkar

Publications and source records attributed to Shreyhaan Sarkar.

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Degree-Four Vector-Coordinate SoS Cannot Detect the MUB Upper Bound

We prove a degree-four Sum-of-Squares lower bound for the standard vector-coordinate formulations of mutually unbiased bases. For every dimension $d$ and every proposed number $m$ of bases, we construct a degree-four pseudoexpectation satisfying the orthonormality constraints and the cross-unbiasedness constraints in the quartic equality formulation. The construction is expectation over $m$ independent Haar-random orthonormal bases. We also prove that the same pseudoexpectation satisfies the degree-four localizing constraints for the natural $2\times 2$ Hermitian semidefinite formulation of the cross-coherence inequalities. Consequently, degree-four vector-coordinate SoS cannot refute the existence of $m$ mutually unbiased bases, even when $m>d+1$. In particular, under the two vector-coordinate encodings explicitly described in Randomstrasse101 Open Problem 23, degree-four SoS cannot prove that seven mutually unbiased bases do not exist in $\mathbb C^6$. We contrast this with a centered projector-coordinate Gram formulation, where degree-four SoS already recovers the elementary upper bound $m\le d+1$, giving a simple separation between vector-coordinate and projector-coordinate degree-four relaxations.

math.CO

The Sharp Even-Size Spectral Threshold for $H(4,3)$-Free Graphs

We determine the sharp even-size threshold for the fixed-size spectral extremal problem forbidding $H(4,3)$, the graph obtained by identifying one vertex of a $4$-cycle with one vertex of a triangle. Specifically, if $G$ is an $H(4,3)$-free graph of even size $m \ge 18$ with no isolated vertices, then $ρ(G) \le ρ'(m)$, where $ρ'(m)$ is the largest real root of $x^4 - m x^2 - (m-2)x + m/2 - 1 = 0$. Equality holds if and only if $G \cong S^-_{(m+4)/2,2}$. The value $18$ is best possible: explicit $H(4,3)$-free obstruction graphs exceed the comparison value for $m = 10,12,14,16$. The proof refines the Perron-neighborhood method by proving a local interface independence principle in the $K_4$-core branch, reducing the remaining threshold cases to finite endpoint comparisons.

math.CO