#Total positivity and total nonnegativity

Total positivity is the study of matrices and kernels whose minors have a fixed sign. A matrix is totally nonnegative (TNN) if all minors are nonnegative, and totally positive if all minors are positive. See [Kar68, FJ11] for general background.

This page is a navigation point for the versions that occur most often in algebraic combinatorics: planar networks, Pólya frequency sequences, real zeros, and totally nonnegative Grassmannians.

Example

The matrix \[\begin{pmatrix} 1 & 1\\ 1 & 2 \end{pmatrix}\] is totally positive: all entries are positive, and its determinant is \(1.\) For larger matrices, checking all minors is usually inefficient, so one uses structure such as planar networks, Toeplitz form, or factorization.

#Planar networks

The Lindström–Gessel–Viennot lemma explains why planar networks produce TNN matrices. If a matrix entry counts weighted paths from a source to a sink in a compatible planar network, then each minor counts families of nonintersecting paths and is therefore nonnegative.

If \(M_{i,j}\) is the weighted path sum from source \(s_i\) to sink \(t_j,\) then a \(2\times2\) minor has the form \[M_{i,a}M_{j,b}-M_{i,b}M_{j,a}.\] The LGV involution cancels the intersecting path pairs, leaving only nonintersecting pairs. In a planar compatible network, the remaining weights are nonnegative. This is the local mechanism behind total nonnegativity of the whole path matrix.

This mechanism appears in:

#Pólya frequency sequences

A sequence \(a=(a_0,a_1,\dotsc)\) is a Pólya frequency sequence if its Toeplitz matrix \(T(a)_{i,j}=a_{i-j}\) is TNN. The Aissen–Schoenberg–Whitney theorem identifies finite Pólya frequency sequences with polynomials whose zeros are real and nonpositive.

Thus total positivity gives one of the main bridges between coefficient sequences and real-rooted polynomials. It also explains closure properties: products of TNN matrices are TNN, so convolutions of Pólya frequency sequences remain Pólya frequency sequences.

#Grassmannians and positroids

For a \(k\times n\) matrix \(A,\) the maximal minors \(\Delta_I(A)\) are the Plücker coordinates of a point of the Grassmannian \(\mathrm{Gr}(k,n).\) The totally nonnegative Grassmannian consists of points with all Plücker coordinates nonnegative. Its cells are indexed by positroids, introduced by A. Postnikov [Pos06].

This is a different but closely related face of total positivity: instead of asking all minors of a square matrix to be nonnegative, one fixes the maximal minors that define a Grassmannian point.

#Real-rootedness

Total positivity frequently packages root-location statements. The Pólya frequency page treats Toeplitz total positivity and real-rootedness of coefficient sequences. The interlacing page uses total nonnegativity to encode pairs and families of interlacing polynomials. The stable-polynomial page gives a multivariate framework that often implies the same univariate real-rootedness results after specialization.

In practice, the useful question is often not "are all minors nonnegative?" but "which structured matrix has the desired minors?" Once the matrix is identified as a path matrix, Toeplitz matrix, or product of elementary TNN matrices, the desired positivity follows from closure properties.

Bibliography

  1. [FJ11]Shaun M. Fallat and Charles R. Johnson. Totally nonnegative matrices. Princeton series in applied mathematics. Princeton University Press, 2011.
    .bib
    @book{FallatJohnson2011,
      author    = {Fallat, Shaun M. and Johnson, Charles R.},
      title     = {Totally Nonnegative Matrices},
      publisher = {Princeton University Press},
      series    = {Princeton Series in Applied Mathematics},
      year      = {2011},
      doi       = {10.1515/9781400839018}
    }
    
  2. [Kar68]Samuel Karlin. Total positivity, Vol. I. Stanford University Press, 1968.
    .bib
    @book{Karlin1968,
      author    = {Karlin, Samuel},
      title     = {Total Positivity, {V}ol.~{I}},
      publisher = {Stanford University Press},
      year      = {1968}
    }
    
  3. [Pos06]Alexander Postnikov. Total positivity, Grassmannians, and networks. arXiv:math/0609764, 2006.
    .bib
    @article{Postnikov2006x,
    Author = {Alexander Postnikov},
    Title = {Total positivity, {G}rassmannians, and networks},
    Year = {2006},
    Eprint = {math/0609764},
      url = {https://arxiv.org/abs/math/0609764},
    journal = {arXiv e-prints}
    }
    

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