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Suleĭmanova Spectra & Realization Theorems

The definitive solvable class of spectra with a single positive eigenvalue: trace nonnegativity, Hazel Perfect's companion matrix proof, Fiedler's symmetric tridiagonal realization, and Soules bases.

1. Definition & The Suleĭmanova Condition

In the spectral theory of nonnegative matrices, the most thoroughly understood family of spectra consists of real multisets possessing exactly one positive eigenvalue (the Perron root), with all remaining eigenvalues being nonpositive.

Definition 1.1 (Suleĭmanova Spectrum)

Definition

A multiset of real numbers $\sigma = \{\lambda_0, \lambda_1, \dots, \lambda_{n-1}\} \subset \mathbb{R}$ is called a Suleĭmanova spectrum if:

$$\lambda_0 > 0 \ge \lambda_1 \ge \lambda_2 \ge \cdots \ge \lambda_{n-1}$$

and the first trace condition (trace nonnegativity) is satisfied:

$$s_1 = \sum_{i=0}^{n-1} \lambda_i = \lambda_0 - \sum_{j=1}^{n-1} |\lambda_j| \ge 0$$

For general candidate spectra, spectral nonnegativity requires verifying infinitely many nonlinear power-sum inequalities ($s_k = \operatorname{Tr}(A^k) \ge 0$), Newton-Girard relations, and Johnson-Loewy-London constraints. However, when all secondary eigenvalues are nonpositive:

  • Even powers ($k = 2m$): Every term satisfies $\lambda_i^{2m} \ge 0$, ensuring $s_{2m} = \sum_{i=0}^{n-1} \lambda_i^{2m} > 0$ holds unconditionally.
  • Odd powers ($k = 2m+1$): Because $\lambda_0 \ge |\lambda_j|$ for all $j \ge 1$, we have $\lambda_0^{2m+1} \ge \sum_{j=1}^{n-1} |\lambda_j|^{2m+1}$ whenever $\lambda_0 \ge \sum_{j=1}^{n-1} |\lambda_j|$. Hence all odd power sums $s_{2m+1} \ge 0$ are satisfied simultaneously.

Consequently, all higher-order trace obstructions vanish identically. The linear condition $\operatorname{Tr}(A) = s_1 \ge 0$ is the sole necessary obstacle.

2. Historical Development & Hazel Perfect's Proof

In 1949, the Soviet mathematician H. R. Suleĭmanova (1949) published an announcement in Doklady Akademii Nauk SSSR asserting that the trace condition $s_1 \ge 0$ is sufficient to realize any such spectrum by an entrywise stochastic matrix. However, her original paper contained only a brief sketch of an induction argument without complete proofs.

In 1953 and 1955, the British mathematician Hazel Perfect (1953, 1955) delivered the first complete, rigorous proofs using similarity transformations on companion matrices:

Theorem 2.1 (Suleĭmanova's Realization Theorem; Suleĭmanova 1949, Perfect 1953/1955)

Theorem

Let $\sigma = \{\lambda_0, \lambda_1, \dots, \lambda_{n-1}\}$ be a multiset of real numbers such that:

$$\lambda_0 > 0 \ge \lambda_1 \ge \cdots \ge \lambda_{n-1} \quad \text{and} \quad \lambda_0 + \sum_{j=1}^{n-1} \lambda_j \ge 0$$

Then $\sigma$ is realizable as the spectrum of an entrywise nonnegative matrix $A \in \mathcal{M}_n(\mathbb{R}_{\ge 0})$. If the inequality is strict ($s_1 > 0$), $A$ can be chosen strictly positive ($A > 0$).

Perfect established this by considering the monic polynomial $p(t) = \prod_{i=0}^{n-1} (t - \lambda_i) = t^n - c_1 t^{n-1} - \cdots - c_n$. She constructed an explicit similarity transformation:

$$A = S C(p) S^{-1} \ge 0$$

where $C(p)$ is the Frobenius companion matrix and $S$ is a lower-triangular matrix whose entries are derived from partial products of the nonpositive eigenvalues $\lambda_1, \dots, \lambda_{n-1}$. While constructive, the resulting matrix $A$ was generally asymmetric. Direct algebraic companion constructions were later simplified by Nizar Radwan (1996).

3. Fiedler's Theorem: Symmetric Realizability (1974)

For more than two decades following Perfect's work, it remained open whether a Suleĭmanova spectrum could always be realized by a symmetric nonnegative matrix ($A = A^T \ge 0$).

In 1974, Miroslav Fiedler (1974) resolved this question affirmatively in Linear Algebra and its Applications, proving a cornerstone theorem of modern combinatorial matrix theory:

Theorem 3.1 (Fiedler's Symmetric Realization Theorem, 1974)

Theorem

Let $\sigma = \{\lambda_0, \lambda_1, \dots, \lambda_{n-1}\}$ with $\lambda_0 > 0 \ge \lambda_1 \ge \dots \ge \lambda_{n-1}$. If $\sum_{i=0}^{n-1} \lambda_i \ge 0$, then there exists a symmetric, tridiagonal nonnegative matrix $A = A^T \ge 0$ having spectrum $\sigma$.

Fiedler's inductive proof constructs a sequence of symmetric matrices $A_1, A_2, \dots, A_n = A$ where at step $k$:

$$A_k = \begin{pmatrix} A_{k-1} & \mathbf{v}_k \\ \mathbf{v}_k^T & \alpha_k \end{pmatrix}$$

By selecting the coupling vector $\mathbf{v}_k \ge 0$ and the diagonal scalar $\alpha_k \ge 0$, the eigenvalues of $A_k$ interlace precisely with those of $A_{k-1}$, adjoining $\lambda_k \le 0$ without shifting the previous spectrum. Fiedler's theorem established that there is no symmetry gap for Suleĭmanova spectra:

$$\sigma \text{ is Sule\u012dmanova} \implies \sigma \in \operatorname{SNIEP} \iff \sigma \in \operatorname{RNIEP} \iff \sum_{i=0}^{n-1} \lambda_i \ge 0$$

4. Soules Bases & Simplicial Spectral Geometry

In 1983, George W. Soules (1983) introduced a geometric paradigm shift: rather than constructing a bespoke matrix for each candidate spectrum, one can construct a single fixed orthogonal matrix $R \in \mathrm{O}(n)$ that diagonalizes all Suleĭmanova matrices simultaneously.

Definition 4.1 (Soules Matrices and Bases; Soules 1983)

Definition

An orthogonal matrix $R = [\mathbf{r}_0, \mathbf{r}_1, \dots, \mathbf{r}_{n-1}] \in \mathbb{R}^{n \times n}$ is called a Soules matrix if:

  1. The first column is strictly positive: $\mathbf{r}_0 = \frac{1}{\sqrt{n}} \mathbf{1} = \frac{1}{\sqrt{n}}(1, 1, \dots, 1)^T$.
  2. For any Suleĭmanova spectrum $\Lambda = \operatorname{diag}(\lambda_0, \lambda_1, \dots, \lambda_{n-1})$, the reconstructed matrix: $$A = R \Lambda R^T = \sum_{i=0}^{n-1} \lambda_i \mathbf{r}_i \mathbf{r}_i^T$$ is entrywise nonnegative ($A \ge 0$).

In 1998, Ludwig Elsner, Reinhard Nabben, and Michael Neumann (1998) characterized all Soules bases via binary tree sign structures:

Theorem 4.1 (Simplicial Geometry via Soules Bases; Elsner, Nabben, & Neumann 1998)

Theorem

The cone of Suleĭmanova spectra forms an extremal simplicial cone within the trace polytope of symmetric nonnegative matrices. Every Soules matrix acts as a universal geometric embedding of this cone into the positive semidefinite affine cone of matrices.

5. Generalizations Beyond Suleĭmanova Spectra

Because Suleĭmanova's condition is an exact criterion for single-positive spectra, researchers have extended its mechanisms to broader configurations:

Theorem 5.1 (Soto's Partition Theorem; Soto 2003)

Theorem

Let $\sigma = \Gamma_1 \cup \cdots \cup \Gamma_k$ be a partition of a real spectrum into disjoint sub-multisets. If each $\Gamma_j$ satisfies a localized Suleĭmanova condition relative to an auxiliary positive eigenvalue, then $\sigma$ is realizable by a block-partitioned nonnegative matrix.

Complex Spectra (Monov 2005)

Extended the Suleĭmanova framework to complex conjugate pairs whose non-Perron eigenvalues have nonpositive real parts: $\lambda_0 > 0$ and $\operatorname{Re}(\lambda_j) \le 0$, under modulus and trace bounds.

Negative Real Parts (Laffey & Šmigoc 2007)

Established constructive realization theorems for spectra whose non-Perron eigenvalues have strictly negative real parts, exploiting companion matrix pencils and similarity reductions.

Multiple Positive Roots

When a spectrum has two positive eigenvalues $\{\lambda_0, \lambda_1 > 0 \ge \lambda_2 \ge \cdots \ge \lambda_{n-1}\}$, the trace $s_1$ alone is no longer sufficient; higher-order traces $s_3, s_5$ generate nonlinear semi-algebraic boundaries.

6. Interactive Solver & Matrix Synthesis

The Spectra Realizer tool on this research hub allows live synthesis of both asymmetric companion realizations and symmetric Fiedler/Soules matrices for any valid Suleĭmanova spectrum:

Interactive Spectra Realizer

Input your candidate eigenvalues, verify the Suleĭmanova trace condition, and generate the realization matrix live.

Launch Realizer Tool →

7. Key Literature & Academic Citations

Pioneering and foundational publications on Suleĭmanova spectra, Fiedler tridiagonal matrices, and Soules bases

The publications below are sourced directly from the global NIEP Comprehensive Bibliography. Each record provides academic metadata, research notes, links to primary literature, and one-click BibTeX exports:

8. See Also & Related Theory Articles

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