Factorization conjecture for the characteristic polynomial of the asymmetric annihilation Markov matrix

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Let MLM_L be the Markov matrix for a system of size LL, with characteristic polynomial PL(x)P_L(x). Define

AL(x)=∏k=0⌈L/2⌉(x+2k)(L−12k),BL(x)=∏k=0⌊L/2⌋(x+2k+1)(L−12k+1).A_L(x)=\prod_{k=0}^{\lceil L/2\rceil}(x+2k)^{\binom{L-1}{2k}},\qquad B_L(x)=\prod_{k=0}^{\lfloor L/2\rfloor}(x+2k+1)^{\binom{L-1}{2k+1}}.

Characteristic-polynomial factorization conjecture. The characteristic polynomial and its successive ratios are

PL(x)=AL(x)AL(x+2α+β)BL(x+β)BL(x+2α),P_L(x)=A_L(x)A_L(x+2\alpha+\beta)B_L(x+\beta)B_L(x+2\alpha), PL+1(x)PL(x)=BL(x+1)BL(x+2α+β+1)AL(x+β+1)AL(x+2α+1).\frac{P_{L+1}(x)}{P_L(x)}=B_L(x+1)B_L(x+2\alpha+\beta+1)A_L(x+\beta+1)A_L(x+2\alpha+1).

If true, this would imply that the Markov matrix has only 2L2L distinct eigenvalues; the paper supports the formula by explicit calculations, but does not establish it in general.

References

Primary source

Arvind Ayyer and Kirone Mallick, “Exact results for an asymmetric annihilation process with open boundaries”, arXiv:0910.0693 (2009).

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