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Electronic Colloquium on Computational Complexity

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REPORTS > KEYWORD > MATRIX RANK:
Reports tagged with Matrix Rank:
TR97-009 | 12th March 1997
Jonathan F. Buss, Gudmund Skovbjerg Frandsen, Jeffrey O. Shallit

The Computational Complexity of Some Problems of Linear Algebra

We consider the computational complexity of some problems
dealing with matrix rank. Let E,S be subsets of a
commutative ring R. Let x_1, x_2, ..., x_t be variables.
Given a matrix M = M(x_1, x_2, ..., x_t) with entries
chosen from E union {x_1, x_2, ..., ... more >>>


TR97-043 | 25th September 1997
Bruno Codenotti, Pavel Pudlak, Giovanni Resta

Some structural properties of low rank matrices related to computational complexity

Revisions: 1 , Comments: 1

We consider the conjecture stating that a matrix with rank
$o(n)$ and ones on the main diagonal must contain nonzero
entries on a $2\times 2$ submatrix with one entry on the main
diagonal. We show that a slightly stronger conjecture implies
that ... more >>>


TR03-079 | 8th November 2003
Scott Aaronson

Multilinear Formulas and Skepticism of Quantum Computing

Several researchers, including Leonid Levin, Gerard 't Hooft, and
Stephen Wolfram, have argued that quantum mechanics will break down
before the factoring of large numbers becomes possible. If this is
true, then there should be a natural "Sure/Shor separator" -- that is,
a set of quantum ... more >>>


TR26-165 | 4th September 2026
Joshua Grochow, Gulce Kardes, Michael Levet

Group Isomorphism and the Polylogarithmic-Time Hierarchy: Depth-2$\frac{1}{2}$ Circuits and Lower Bounds

In this paper, we investigate the low-depth circuit complexity of Group Isomorphism in the multiplication (Cayley) table model. We prove the first circuit lower bounds for Group Isomorphism: namely, we show that every family of depth-$2$ Boolean circuits deciding Group Isomorphism requires quasipolynomial-size. We complement this with upper bounds of ... more >>>


TR26-185 | 15th September 2026
Foram Lakhani, Partha Mukhopadhyay

Approximating commutative rank of matrix spaces in NC

Given any fixed constant $0<\varepsilon<1$ and a matrix space
$\mathcal{B}=\langle B_1,\ldots,B_m\rangle\le\mathbb{Q}^{n\times n}$,
we give a deterministic $NC^3$ algorithm that outputs a matrix \(A\in\mathcal{B}\) such that $rank(A)\geq (1-\varepsilon) crk(\mathcal{B})$,
where $crk(\mathcal{B})$ denotes the maximum rank of a matrix in $\mathcal{B}$. This complements the recent breakthrough of Chatterjee, Ghosh, Gurjar, Raj, and ... more >>>




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