Let $I$ denote an identity matrix, $E$ denote the all-one matrix of dimension $k\times k$ and $c$ some positive real number. Define $X=B(I-cE)B^T$ where $B$ is given by
$B:=\begin{pmatrix} 1 &\beta_1 &\beta_2 &\ldots, &\beta_{k-1}\\ 0 &1 &0 &\ldots &0\\ 0 &0 &1 &\ldots &0\\ \vdots &\vdots &\vdots &\ddots &\vdots\\ 0 &0 &0 &0 &1 \end{pmatrix}$
i.e., $B$ is the identity matrix with its first row filled up with $k-1$ positive real numbers $\beta_1,\ldots,\beta_{k-1}$.
I am interested in the cholesky factorization of $X$, $X=LL^T$ where $L$ is a lower triangular matrix. In particular, I am interested in the case when all the diagonal entries of $L$ are equal.
So the question is: under what condition of $c$, there exist $k-1$ reals $\beta_1,\ldots,\beta_{k-1}$ such that $L$ has equal diagonal entries?
Here are some observations I have made:
- It's not true that for any $c$, $L$ can be made having equal diagonals by adjusting $\beta$'s. Numerical results suggest that for $c$ larger than a certain value, this is always possible.
- Clearly $\det(L)=\det(X)^{1/2}=(\det(B)\det(I-cE)\det(B^T))^{1/2}=\det(I-cE)^{1/2}$ which does not depend on $\beta$. Hence asking $L$ to have equal diagonals is equivalent to asking $L$ to have minimum trace possible because of the inequality $\operatorname{trace}(L)\geq K\det(L)^{1/K}$. We want the above inequality to be tight: this happens when all diagonals (also eigenvalues) of $L$ are equal. I do not know if this observation could help.
- Of course we could calculate the diagonals of $L$ out using a brut force calculation. I think each entry $L_{ii}$ is a quadratic expression of $\beta$'s. However the expressions are too complicated to make any useful statement.