An algorithm for the second immanant
Robert Grone,Russell Merris +1 more
TLDR
In this paper, an algorithm for computing d(A) when X corresponds to the partition (2, n-2) was presented. But it is not known whether the algorithm can be used to compute a generalized matrix function.Abstract:
Let X be an irreducible character of the symmetric group S,. For A = (a,J) an n-by-n matrix, define the immanant of A corresponding to X by d(A) = E X(gf)Ha[lt uGSn t=1 The article contains an algorithm for computing d(A) when X corresponds to the partition (2, n-2). Introduction. Denote by Xk the (irreducible, characteristic zero) character of the symmetric group Sn, corresponding to the partition (k, In-k), for k = 1, 2,.. ,n. If A = (ai1) is an n-by-n matrix, define n dk(A) = , Xk(Uf) H at,(t) a(S, t=l Then, for example, dl(A) = det(A) and dn(A) = per(A), the permanent of A. In general, dk is known as an immanant or a generalized matrix function. (An immanant is a generalized matrix function based on Sn.) Suppose G is a (simple) graph on n vertices. Denote by L(G) the Laplacian matrix corresponding to some labeling of the vertices of G, i.e., L(G) is an n-by-n matrix, the (i, j) entry of which is the degree of vertex i when i = j, -1 if i 7 j but vertex i is adjacent to vertex j, and zero otherwise. It is shown in [5] that the number of Hamiltonian circuits in G is given by the formula I n k (1) ~h(G)= (-1) dk(L(G)). 2nk= 2 While there is an immense literature on generalized matrix functions, Eq. (1) is already sufficient motivation to seek "fast" algorithms for their actual computation. The main result of this note is an algorithm for computing d2. (See the next section.) It seems that d2 may be especially appropriate for the study of Laplacian matrices for the following reason: If G is a graph on n vertices, then L(G) is positive semidefinite symmetric and singular. Moreover, G is connected if and only if rank L(G) = n 1. For arbitrary positive semidefinite symmetric matrices without a zero row, it was established in [3, Corollaries 5 and 6] that d2(A) > 0 with equality if and only if rank(A) < n 1. Received August 22, 1983. 1980 Mathematics Subject Classification. Primary 65F30, 15A15, 05C50. *Work of the second author was supported by the National Science Foundation under Grant No. MCS-8300097. ?01984 American Mathematical Society 0025-5718/84 $1.00 + $.25 per pageread more
Citations
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Journal ArticleDOI
Determinantal point processes for machine learning
Alex Kulesza,Ben Taskar +1 more
TL;DR: Determinantal Point Processes for Machine Learning provides a comprehensible introduction to DPPs, focusing on the intuitions, algorithms, and extensions that are most relevant to the machine learning community, and shows how they can be applied to real-world applications.
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Determinantal Point Processes for Machine Learning
Alex Kulesza,Ben Taskar +1 more
TL;DR: Determinantal point processes (DPPs) as mentioned in this paper are elegant probabilistic models of repulsion that arise in quantum physics and random matrix theory, and they are relatively new in machine learning.
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Learning determinantal point processes
Alex Kulesza,Ben Taskar +1 more
TL;DR: The authors proposed a natural feature-based parameterization of conditional DPPs, and showed how it leads to a convex and efficient learning formulation, achieving state-of-the-art results on the DUC 2003/04 multi-document summarization task.
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Immanants and finite point processes
Persi Diaconis,Steven N. Evans +1 more
TL;DR: The representation theory of the symmetric group is used to compute the normalisation constant and identify the kth-order marginal densities for 1?k?n as linear combinations of analogously defined immanantal densities.
DissertationDOI
Why are certain polynomials hard? : A look at non-commutative, parameterized and homomorphism polynomials
TL;DR: This thesis tries to answer the question why specific polynomials have no small suspected arithmetic circuits and introduces a new framework for arithmetic circuits, similar to fixed parameter tractability in the boolean setting.
References
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Journal ArticleDOI
The complexity of computing the permanent
TL;DR: It is shown that the permanent function of (0, 1)-matrices is a complete problem for the class of counting problems associated with nondeterministic polynomial time computations.
Journal ArticleDOI
Permanental polynomials of graphs
TL;DR: In this article, the permanental polynomial of the adjacency matrix of a graph has been studied, as well as the permanents of the Laplacian matrix of the graph.
Journal ArticleDOI
Single-hook characters and hamiltonian circuits ∗
TL;DR: In this paper, it was shown that the number of Hamiltonian circuits in a finite graph may be expressed as an alternating sum of immanants, where the connecting thread is the concept of a single-hook character of the symmetric group.
Journal ArticleDOI
On vanishing decomposable symmetrized tensors
TL;DR: In this article, a decomposable symmetrized tensor corresponding to the subgroup G of Sm and the irreducible character λ is shown to be necessary or sufficient for generalized matrix functions.