pith. sign in

arxiv: 1907.07089 · v1 · pith:OHZP3H4Jnew · submitted 2019-07-14 · 🧮 math.SP · math.DS

Unifying matrix stability concepts with a view to applications

Pith reviewed 2026-05-24 21:46 UTC · model grok-4.3

classification 🧮 math.SP math.DS
keywords matrix stabilityD-stabilitydiagonal stabilitystability regionsdynamical systemsunificationspectral propertiesmatrix operations
0
0 comments X

The pith

Various classical matrix stability concepts can be unified into one parameterized notion depending on a stability region, matrix class, and operation.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper proposes a general framework called (D, G, o)-stability that encompasses classical concepts such as multiplicative and additive D-stability, diagonal stability, Schur D-stability, and H-stability. This unification depends on choosing a stability region D in the complex plane, a class of matrices G, and a binary matrix operation o. By reviewing historical developments and proving common elementary properties, the approach allows shared analysis methods across different stability types. It also outlines ways to extend the theory using properties of the stability region and notes applications to dynamical systems of different types.

Core claim

The central claim is that many specific stability concepts for matrices arising in linear dynamical systems can be viewed as instances of (D, G, o)-stability, where the choice of the stability region D subset C, the matrix class G, and the binary operation o determines the particular type, allowing common properties and methods to be established uniformly across them.

What carries the argument

The (D, G, o)-stability concept, defined via a stability region D, matrix class G, and binary matrix operation o, which generalizes specific stability notions by varying these three parameters.

If this is right

  • Several well-known matrix problems can be united under the same framework.
  • Common methods of analysis apply across many partial cases of stability.
  • Elementary properties of stable matrices hold uniformly once proved in the general setting.
  • Further development of the theory follows from properties of the chosen stability region D, such as LMI regions or the unit disk.
  • The framework applies to dynamical systems of different types.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Results proved for one choice of parameters may transfer directly to other stability concepts via the shared definition.
  • The framework could encourage exploration of previously unstudied combinations of regions, classes, and operations.
  • Applications in control or numerical methods might benefit from treating stability questions uniformly rather than case by case.

Load-bearing premise

That choosing a stability region D, matrix class G, and operation o is sufficient to capture the essential features and analysis methods of each specific stability concept without omitting application-critical distinctions.

What would settle it

Identifying a classical stability notion from the dynamical systems literature that cannot be expressed for any choice of D, G, and o, or finding an analysis method that applies to one specific case but has no uniform counterpart under the general definition.

Figures

Figures reproduced from arXiv: 1907.07089 by Olga Kushel.

Figure 1
Figure 1. Figure 1: Inclusion relations between (D, D)-stability classes, determined by inclusion relations between stability regions D. Now consider the following generalization of Sequence (28) of inclusion rela￾tions. Let D ⊂ C be an open stability region, denote its boundary by ∂(D). The following concept was introduced in [25]: a matrix A ∈ Mn×n is called ∂(D)- singular if σ(A) T ∂(D) 6= ∅ and ∂(D)-regular if σ(A) T ∂(D)… view at source ↗
Figure 2
Figure 2. Figure 2: Inclusion relations between (C −, G)-stability classes, determined by inclusion relations between matrix classes G. The class of Schur D-stable matrices belongs to the class of vertex D-stable matrices. In some cases (n = 3 (see [95], p. 20, Theorem 2.7), tridiagonal matri￾ces (see [96], p. 46, Theorem 4.2), some others) these classes coincide. The idea of using the transition from the studying a convex ma… view at source ↗
read the original abstract

Multiplicative and additive $D$-stability, diagonal stability, Schur $D$-stability, $H$-stability are classical concepts which arise in studying linear dynamical systems. We unify these types of stability, as well as many others, in one concept of $({\mathfrak D}, {\mathcal G}, \circ)$-stability, which depends on a stability region ${\mathfrak D} \subset {\mathbb C}$, a matrix class ${\mathcal G}$ and a binary matrix operation $\circ$. This approach allows us to unite several well-known matrix problems and to consider common methods of their analysis. In order to collect these methods, we make a historical review, concentrating on diagonal and $D$-stability. We prove some elementary properties of $({\mathfrak D}, {\mathcal G}, \circ)$-stable matrices, uniting the facts that are common for many partial cases. Basing on the properties of a stability region $\mathfrak D$ which may be chosen to be a concrete subset of $\mathbb C$ (e.g. the unit disk) or to belong to a specified type of regions (e.g. LMI regions) we briefly describe the methods of further development of the theory of $({\mathfrak D}, {\mathcal G}, \circ)$-stability. We mention some applications of the theory of $({\mathfrak D}, {\mathcal G}, \circ)$-stability to the dynamical systems of different types.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 4 minor

Summary. The paper introduces the parameterized concept of (𝔇, 𝒢, ∘)-stability, where 𝔇 ⊂ ℂ is a stability region, 𝒢 a matrix class, and ∘ a binary matrix operation. This single definition is shown to recover classical notions including multiplicative and additive D-stability, diagonal stability, Schur D-stability, and H-stability by suitable choice of the three parameters. The manuscript supplies a historical review focused on diagonal and D-stability, derives elementary properties that hold uniformly across instantiations, sketches analysis methods once 𝔇 is specialized (LMI regions, unit disk, etc.), and notes applications to dynamical systems of various types.

Significance. The parameterization approach preserves application-critical distinctions while exposing common analytic methods, which is a genuine organizational contribution to matrix stability theory. The uniform elementary properties and the historical synthesis are useful even if no new deep theorems are proved; the framework supplies a clean language in which to state and transfer results between previously separate stability problems.

minor comments (4)
  1. The definition of the binary operation ∘ (domain, associativity or other algebraic requirements) should be stated explicitly in the section that introduces (𝔇, 𝒢, ∘)-stability so that the uniform properties can be verified without ambiguity.
  2. At least two additional concrete recoveries (beyond the four classical notions listed in the abstract) should be written out in full, with the precise (𝔇, 𝒢, ∘) triples, to demonstrate that the unification is not merely notational.
  3. Notation for the stability region (fraktur 𝔇 versus script D) and for the matrix class 𝒢 should be fixed consistently throughout the text and in all displayed equations.
  4. The historical review would benefit from a short table or enumerated list that maps each classical stability concept to its corresponding (𝔇, 𝒢, ∘) triple; this would make the unification immediately visible to readers.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive summary, significance assessment, and recommendation of minor revision. The referee's description of the manuscript is accurate.

Circularity Check

0 steps flagged

No significant circularity identified

full rationale

The paper defines (𝔇, 𝒢, ∘)-stability explicitly as a parameterized umbrella recovering classical notions (multiplicative/additive D-stability, diagonal stability, etc.) via choice of region, class, and operation. It then states and proves elementary properties that hold uniformly for any such choice, followed by specialization methods based on concrete properties of 𝔇 (e.g., LMI regions or unit disk). This is a standard definitional generalization whose content is independent of the inputs; no derivation reduces by construction to a fitted parameter, self-citation chain, or renamed known result. The framework remains self-contained against external benchmarks.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 1 invented entities

No free parameters are introduced. The work relies on standard mathematical background for complex numbers, matrices, and stability regions. The general stability concept is a definitional unification, not an invented physical entity with independent evidence.

axioms (1)
  • standard math Standard algebraic properties of matrix addition, multiplication, and eigenvalues over the complex numbers
    Invoked implicitly when defining stability regions D and operations o in the general framework.
invented entities (1)
  • (D, G, o)-stability no independent evidence
    purpose: To provide a single definition encompassing multiple classical stability types
    Purely definitional construct with no independent falsifiable evidence supplied beyond the definition itself.

pith-pipeline@v0.9.0 · 5776 in / 1328 out tokens · 26866 ms · 2026-05-24T21:46:56.846106+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Universal bound on the Lyapunov spectrum of quantum master equations

    quant-ph 2025-10 unverdicted novelty 7.0

    New proof via Lyapunov exponents that the largest decay rate Γ_max in a d-dimensional quantum master equation satisfies Γ_max ≤ κ_d times the sum of the other d²-1 decay rates, with κ_d depending only on d and the map class.

Reference graph

Works this paper leans on

259 extracted references · 259 canonical work pages · cited by 1 Pith paper

  1. [1]

    Abed, Strong D-stability, Systems Control Lett

    E.H. Abed, Strong D-stability, Systems Control Lett. 7 (1986), 207-212

  2. [2]

    Abed, Multiparameter singular perturbation problems: Iterativ e ex- pansions and asymptotic stability, Systems Control Lett

    E.H. Abed, Multiparameter singular perturbation problems: Iterativ e ex- pansions and asymptotic stability, Systems Control Lett. 5 (1985), 279- 282

  3. [3]

    Abed, Decomposition and stability of multiparameter singular pe rtur- bation problems, IEEE Transactions on Automatic Control AC-31 (1986), 925-934

    E.H. Abed, Decomposition and stability of multiparameter singular pe rtur- bation problems, IEEE Transactions on Automatic Control AC-31 (1986), 925-934

  4. [4]

    Abed, Singularly perturbed Hopf bifurcation, IEEE Trans

    E.H. Abed, Singularly perturbed Hopf bifurcation, IEEE Trans. Circuits and Systems 32 (1985), 1270-1280

  5. [5]

    Abed, S.P

    E.H. Abed, S.P. Boyd, Perturbation bounds for structured robust stability, Proc. 27th IEEE Conf. Dec. Contr. (1988), 1029-1031

  6. [6]

    Abed, A.L

    E.H. Abed, A.L. Tits, On the stability of multiple time-scale systems, International Journal of Control 44 (1986), 211-218

  7. [7]

    Allouche, M

    M. Allouche, M. Souissi, M. Chaabane, D. Mehdi, Robust D-stability anal- ysis of an induction motor, in 16th Mediterranean Conference on Control and Automation, (2008), 255-260

  8. [8]

    Altafini, Stability analysis of diagonally equipotent matrices, Automat- ica 49 (2013), 2780-2785

    C. Altafini, Stability analysis of diagonally equipotent matrices, Automat- ica 49 (2013), 2780-2785

  9. [9]

    Al’pin, V.S

    Yu.A. Al’pin, V.S. Al’pina, Combinatorial structure of k-semiprimitive matrix families, Sbornik: Mathematics 207 (2016), pp. 639–651

  10. [10]

    Anderson, N

    B. Anderson, N. Bose, E. Jury, A simple test for zeros of a complex poly- nomial in a sector, IEEE Transactions on Automatic Control 19 (1974), 437–438

  11. [11]

    Araki, Application of M -matrices to the stability problems of composite dynamical systems, Journal of Math

    M. Araki, Application of M -matrices to the stability problems of composite dynamical systems, Journal of Math. Analysis Appl. 52 (1975), 309-321

  12. [12]

    Arcak, Linear matrix inequality tests for synchrony of diffusively coupled nonlinear systems, Proceedings of the 58th Allerton Conference (2010), 1651–1656

    M. Arcak, Linear matrix inequality tests for synchrony of diffusively coupled nonlinear systems, Proceedings of the 58th Allerton Conference (2010), 1651–1656

  13. [13]

    Arcak, Diagonal stability on cactus graphs and application to netw ork stability analysis, IEEE Transactions on Automatic Control 56 (2011), 2766–2777

    M. Arcak, Diagonal stability on cactus graphs and application to netw ork stability analysis, IEEE Transactions on Automatic Control 56 (2011), 2766–2777. 86

  14. [14]

    Arcak, E.D

    M. Arcak, E.D. Sontag, Diagonal stability of a class of cyclic systems and its connection with the secant criterion, Automatica 42 (2006), 1531–1537

  15. [15]

    Arcak, E.D

    M. Arcak, E.D. Sontag, Connections between diagonal stability and the secant condition for cyclic systems, Proceedings of the 2006 American Control Conference (2006), 1493–1498

  16. [16]

    Arhangel’skii, M

    A. Arhangel’skii, M. Tkachenko, Topological groups and related structures, Atlantis Press, 2008

  17. [17]

    Arrow, M.D

    K.J. Arrow, M.D. Intriligator (Eds.) Handbook on mathematical eco- nomics, Vol. I, II. North-Holland, Amsterdam, 1987

  18. [18]

    Arrow, S

    K.J. Arrow, S. Karlin, P. Suppes (Eds.), Mathematical methods in the social sciences, Stanford. Univ. Press, Stanford, 1960

  19. [19]

    Arrow, M

    K.J. Arrow, M. McManus, A theorem on expectations and the stability of equilibrium, Econometrica 24 (1956), 288-293

  20. [20]

    Arrow, M

    K.J. Arrow, M. McManus, A note on dynamical stability, Econometrica 26 (1958), 448-454

  21. [21]

    Bacciotti, L

    A. Bacciotti, L. Rosier, Liapunov functions and stability in control theory, 2nd edition, Springer-Verlag, 2005

  22. [22]

    Bachelier, B

    O. Bachelier, B. Pradin, ∂D-regularity for robust matrix root clustering , IF AC Proceedings Volumes, 36 (2003), pp. 237-242

  23. [23]

    Bachelier, J

    O. Bachelier, J. Bosche, D. Mehdi, On matrix root-clustering in a combi- nation of first order regions , IF AC Proceedings Volumes, 39 (2006), pp. 405-410

  24. [24]

    Bachelier, D

    O. Bachelier, D. Mehdi, Robust matrix DU -stability analysis, International Journal of Robust and Nonlinear Control, 13 (2003), pp. 533-558

  25. [25]

    Bachelier, D

    O. Bachelier, D. Henrion, B. Pradin, D. Mehdi, Robust root-clustering of a matrix in intersections or unions of regions , SIAM J. Control Optim., 43 (2004), pp. 1078–1093

  26. [26]

    C. Bahl, B. Cain, The inertia of diagonal multiples of 3 × 3 real matrices, Linear Algebra Appl., 18 (1997), pp. 267–280

  27. [27]

    Ballantine, Stabilization by a diagonal matrix , Proc

    C.S. Ballantine, Stabilization by a diagonal matrix , Proc. Amer. Math. Soc., 25 (1970), pp. 728–734

  28. [28]

    Barker, Common solutions to the Lyapunov equations , Linear Alge- bra Appl., 16 (1977), pp

    G.P. Barker, Common solutions to the Lyapunov equations , Linear Alge- bra Appl., 16 (1977), pp. 233–235

  29. [29]

    Barker, A

    G.P. Barker, A. Berman, R.J. Plemmons, Positive diagonal solutions to the Lyapunov equations , Linear and Multilinear Algebra 5 (1978), 249– 256

  30. [30]

    Barkovsky, Rank-one perturbations method and differential operators of oscillatory type (in Russian), PhD Thesis, Rostov-on-Don, 1980

    Y.S. Barkovsky, Rank-one perturbations method and differential operators of oscillatory type (in Russian), PhD Thesis, Rostov-on-Don, 1980. 87

  31. [31]

    Barkovsky, T.V

    Y.S. Barkovsky, T.V. Ogorodnikova, On matrices with positive and simple spectra, Izvestiya SKNC VSH Natural sciences 4 (1987), 65–70

  32. [32]

    Barkovsky, V.I

    Y.S. Barkovsky, V.I. Yudovich, The momenta problem and spectral theory of the operators , Izvestiya SKNC VSH Natural sciences 4 (1975), 49–53

  33. [33]

    Barmish, New tools for robustness of linear systems , Macmillan, New York, 1994

    B.R. Barmish, New tools for robustness of linear systems , Macmillan, New York, 1994

  34. [34]

    Beavis, I.M

    B. Beavis, I.M. Dobbs, Optimization and stability theory for economic analysis, Cambridge University Press, 1990

  35. [35]

    Bellman, Introduction to matrix analysis , McGraw Hill, New York, 2nd edition, 1970

    R. Bellman, Introduction to matrix analysis , McGraw Hill, New York, 2nd edition, 1970

  36. [36]

    Berman, D

    A. Berman, D. Hershkowitz, Matrix diagonal stability and its implications, SIAM J. Alg. Disc. Meth., 4 (1983), pp. 377-382

  37. [37]

    Berman, D

    A. Berman, D. Hershkowitz, Graph theoretical methods in studying stabil- ity, Contemporary Math., 47 (1985), pp. 1–6

  38. [38]

    Berman, D

    A. Berman, D. Hershkowitz, Characterization of acyclic D-stable matri- ces, Linear Algebra Appl., 58 (1984), pp. 17-31

  39. [39]

    Berman, R.J

    A. Berman, R.J. Plemmons, Nonnegative Matrices in the Mathematical Sciences, Academic Press, New York, 1979

  40. [40]

    Berman, R.C

    A. Berman, R.C. Ward, Classes of stable and semipositive matrices, Linear Algebra Appl., 21 (1978), pp. 163-174

  41. [41]

    Berman, R.S

    A. Berman, R.S. Varga, R.C. Ward, Matrices with nonpositive off-diagonal entries, Linear Algebra Appl., 21 (1978), pp. 233-244

  42. [42]

    Besselink, H.R

    B. Besselink, H.R. Feyzmahdavian, H. Sandberg, M. Johansson , D- stability and delay-independent stability of monotone non linear systems with max-separable Lyapunov functions , IEEE Conference on Decision and Control (CDC), (2016), pp. 3172–3177

  43. [43]

    Bhaya, E

    A. Bhaya, E. Kaszkurewicz, On discrete-time diagonal and D-stability, Linear Algebra Appl., 187 (1993), pp. 87–104

  44. [44]

    Bhaya, E

    A. Bhaya, E. Kaszkurewicz, Control perspectives on numerical algorithms and matrix problems , SIAM, 2006

  45. [45]

    Bhaya, E

    A. Bhaya, E. Kaszkurewicz, R. Santos Characterizations of classes of sta- ble matrices , Linear Algebra Appl., 374 (2003), pp. 159–174

  46. [46]

    Bhatia, Positive definite matrices , Princeton University Press, 2007

    R. Bhatia, Positive definite matrices , Princeton University Press, 2007

  47. [47]

    Bhattacharya, H

    S. Bhattacharya, H. Chapellat, L. Keel, Robust control: the parametric approach, Prentice-Hall, New Jersey, 1995

  48. [48]

    Bickart, E.I

    T.A. Bickart, E.I. Jury, Regions of polynomial root clustering, Journal of the Franklin Institute, 304 (1977), pp. 149-160. 88

  49. [49]

    Bickart, E.I

    T.A. Bickart, E.I. Jury, The Schwarz–Christoffel transformation and poly- nomial root clustering, IF AC Proceedings Volumes 11 (1978), pp. 1171- 1176

  50. [50]

    Bickart, E.I

    T.A. Bickart, E.I. Jury, Polynomial root clustering, Journal of the Franklin Institute, 308 (1979), pp. 487-496

  51. [51]

    Bierkens, A

    J. Bierkens, A. Ran, A singular M -matrix perturbed by a nonnegative rank- one matrix has positive principal minors; is it D-stable? Linear Algebra Appl., 457 (2014), pp. 191–208

  52. [52]

    Blanchini, E

    F. Blanchini, E. Franco, G. Giordano, Determining the structural proper- ties of a class of biological models , 51th IEEE Conference on Decision and Control (2012), pp. 5505–5510

  53. [53]

    S. Boyd, L. El Ghaoui, E. Feron, V. Balakrishnan, Linear matrix inequal- ities in system and control theory , SIAM, 1994

  54. [54]

    Borwein, T

    P. Borwein, T. Erdelyi, Polynomials and polynomial inequalities , Springer, 1995

  55. [55]

    Burlakova, D-stable 4th-order matrices, J

    L.A. Burlakova, D-stable 4th-order matrices, J. Sovremennie technologii. Systemniy analiz. Modelirovanie 1 (21) (2009), 109-116

  56. [56]

    Burlakova, Conditions of D-stability of the fifth-order matrices, in: Gerdt V.P., Mayr E.W., Vorozhtsov E.V

    L.A. Burlakova, Conditions of D-stability of the fifth-order matrices, in: Gerdt V.P., Mayr E.W., Vorozhtsov E.V. (eds) Computer Algebra in Sci- entific Computing. Lecture Notes in Computer Science, Springer, B erlin, Heidelberg 5743 (2009), pp. 54-65

  57. [57]

    Butkovi˘ c,Max-linear systems: theory and algorithms, Springer-Verlag London Limited 2010

    P. Butkovi˘ c,Max-linear systems: theory and algorithms, Springer-Verlag London Limited 2010

  58. [58]

    Cain, Real, 3 × 3, D-stable matrices, J

    B. Cain, Real, 3 × 3, D-stable matrices, J. Res. Nat. Bur. Standards Sect. B, 80B (1976), 75–77

  59. [59]

    Cain, Inside the D-stable matrices, Linear Algebra Appl., 56 (1984), 237–243

    B. Cain, Inside the D-stable matrices, Linear Algebra Appl., 56 (1984), 237–243

  60. [60]

    Cain, Convergent multiples of convergent operators, Linear Algebra Appl., 299 (1999), 171–173

    B. Cain, Convergent multiples of convergent operators, Linear Algebra Appl., 299 (1999), 171–173

  61. [61]

    Cain, L.M

    B. Cain, L.M. DeAlba, L. Hogben, C.R. Johnson, Multiplicative pertur- bations of stable and convergent operators, Linear Algebra Appl., 268 (1998), pp. 151–169

  62. [62]

    Cain, T.D

    B. Cain, T.D. Lenker, S.K. Narayan, P. Vermeire Classes of stable complex matrices defined via the theorems of Ger˘ sgorin and Lyapunov , Linear and Multilinear Algebra, 56 (2008), pp. 713–724

  63. [63]

    Campo, M

    P.J. Campo, M. Morari, Achievable closed-loop properties of systems un- der decentralized control: conditions involving the stead y-state gain , IEEE Transactions on Automatic Control, 39 (1994), pp. 932–943

  64. [64]

    Carlson, Controllability, inertia and stability for tridiagonal ma trices, Linear Algebra Appl., 56 (1984), pp

    D. Carlson, Controllability, inertia and stability for tridiagonal ma trices, Linear Algebra Appl., 56 (1984), pp. 207–220. 89

  65. [65]

    Carlson, A class of positive stable matrices , J

    D. Carlson, A class of positive stable matrices , J. Res. Nat. Bur. Standards Sect. B, 78B (1974), pp. 1–2

  66. [66]

    Carlson, A new criterion for H-stability of complex matrices , Linear Algebra Appl., 1 (1968), pp

    D. Carlson, A new criterion for H-stability of complex matrices , Linear Algebra Appl., 1 (1968), pp. 59–64

  67. [67]

    Carlson, B

    D. Carlson, B. Datta, The Lyapunov matrix equation SA + A∗ S = S∗ B∗ BS, Linear Algebra Appl., 28 (1979), pp. 43–52

  68. [68]

    Carlson, B

    D. Carlson, B. Datta, C. Johnson, A semi-definite Lyapunov theorem and the characterization of tridiagonal D-stable matrices , SIAM J. Alg. Disc. Meth., 3 (1982), pp. 293–304

  69. [69]

    Carlson, D

    D. Carlson, D. Hershkowitz, D. Shasha, Block diagonal semistability fac- tors and Lyapunov semistability of block triangular matric es, Linear Alge- bra Appl., 172 (1992), pp. 1–25

  70. [70]

    Carlson, H

    D. Carlson, H. Schneider, Inertia theorems for matrices: the semidefinite case, Journal of Math. Analysis and Appl. 6 (1963), 430–446

  71. [71]

    Cauchy, Calcul des indices des fonctions, J

    A.L. Cauchy, Calcul des indices des fonctions, J. ´Ecole Polytech. 15, 176–229 (1837) (Œuvres 1(2), 416–466)

  72. [72]

    Chen, A generalization of the inertia theorem , SIAM J

    C.-T. Chen, A generalization of the inertia theorem , SIAM J. Appl. Math., 25 (1973), pp. 158–161

  73. [73]

    Chen, Linear system theory and design , 3rd Ed

    C.-T. Chen, Linear system theory and design , 3rd Ed. Oxford University Press, 1999

  74. [74]

    J. Chen, M. Fan, Ch.-Ch. Yu, On D-stability and structured singular val- ues, Systems and Control letters, 24 (1995), pp. 19–24

  75. [75]

    Chilali, P

    M. Chilali, P. Gahinet, H∞ design with pole placement constraints: an LMI approach, IEEE Transactions on Automatic Control, 41 (1996), pp. 358–367

  76. [76]

    Chilali, P

    M. Chilali, P. Gahinet, P. Apkarian, Robust pole placement in LMI regions, Proceedings of the 36th Conference on Decision and Control San D iego, USA, 1997, pp. 1291–1296

  77. [77]

    Choi, Inequalities related to partial trace and block Hadamard pr oduct, Linear and Multilinear Algebra, 66 (2018), pp

    D. Choi, Inequalities related to partial trace and block Hadamard pr oduct, Linear and Multilinear Algebra, 66 (2018), pp. 280-284

  78. [78]

    Chu, An equivalent condition for stability properties of Lotka– Volterra systems, Physics Letters A 368 (2007), pp

    T. Chu, An equivalent condition for stability properties of Lotka– Volterra systems, Physics Letters A 368 (2007), pp. 235-237

  79. [79]

    Cohn, ¨Uber die Anzahl der Wurzeln einer algebraischen Gleichung i n einem Kreise , Mathematische Zeitschrift, 14 (1922), pp

    A. Cohn, ¨Uber die Anzahl der Wurzeln einer algebraischen Gleichung i n einem Kreise , Mathematische Zeitschrift, 14 (1922), pp. 110-148

  80. [80]

    Cross, Three types of matrix stability , Linear Algebra Appl., 20 (1978), pp

    G.W. Cross, Three types of matrix stability , Linear Algebra Appl., 20 (1978), pp. 253–263

Showing first 80 references.