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48 results for Knot Mosaics

Knot mosaic theory was introduced by Lomonaco and Kauffman in the paper on `Quantum knots and mosaics' to give a precise and workable definition of quantum knots, intended to represent an actual physical quantum system. A knot (m,n)-mosaic is an m ⁣× ⁣nm \! \times \! n matrix whose entries are eleven mosaic tiles, represent…

2017-03-15abs ↗pdf ↗

In 2008, Kauffman and Lomonaco introduce the concepts of a knot mosaic and the mosaic number of a knot or link, the smallest integer nn such that a knot or link can be represented on an nn-mosaic. In arXiv:1702.06462, the authors explore space-efficient knot mosaics and the tile number of a knot or link, the smallest…

2018-03-21abs ↗pdf ↗

Knot mosaics are used to model physical quantum states. The mosaic number of a knot is the smallest integer mm such that the knot can be represented as a knot mm-mosaic. In this paper we establish an upper bound for the crossing number of a knot in terms of the mosaic number. Given an mm-mosaic and any knot KK that…

2014-05-29abs ↗pdf ↗

Lomonaco and Kauffman introduced a knot mosaic system to give a precise and workable definition of a quantum knot system, the states of which are called quantum knots. This paper is inspired by an open question about the knot mosaic enumeration suggested by them. A knot nn--mosaic is an n×nn \times n array of 11 mosaic…

2016-09-02abs ↗pdf ↗

In 2008, Lomonaco and Kauffman introduced a knot mosaic system to define a quantum knot system. A quantum knot is used to describe a physical quantum system such as the topology or status of vortexing that occurs on a small scale can not see. Kuriya and Shehab proved that knot mosaic type is a complete invariant of tam…

2016-02-11abs ↗pdf ↗

Lomonaco and Kauffman developed knot mosaics to give a definition of a quantum knot system. This definition is intended to represent an actual physical quantum system. A knot nn-mosaic is an n×nn \times n matrix of 11 kinds of specific mosaic tiles representing a knot or a link. The mosaic number m(K)m(K) of a knot KK i…

2013-01-25abs ↗pdf ↗

Lomonaco and Kauffman introduced knot mosaic system to give a definition of quantum knot system. This definition is intended to represent an actual physical quantum system. A knot (m,n)(m,n)-mosaic is an m×nm \times n matrix of mosaic tiles which are T0T_0 through T10T_{10} depicted as below, representing a knot or a link b…

2013-12-14abs ↗pdf ↗

In this paper we introduce the concept of a space-efficient knot mosaic. That is, we seek to determine how to create knot mosaics using the least number of non-blank tiles necessary to depict the knot. This least number is called the tile number of the knot. We determine strict bounds for the tile number of a knot in t…

2017-02-21abs ↗pdf ↗

The concepts of tile number and space-efficiency for knot mosaics were first explored by Heap and Knowles (arXiv:1702.06462), where they determined the possible tile numbers and space-efficient layouts for every prime knot with mosaic number 6 or less. In this paper, we extend those results to prime knots with mosaic n…

2019-12-30abs ↗pdf ↗

Since the Jones polynomial was discovered, the connection between knot theory and quantum physics has been of great interest. Lomonaco and Kauffman introduced the knot mosaic system to give a definition of the quantum knot system that is intended to represent an actual physical quantum system. Recently the authors deve…

2017-03-15abs ↗pdf ↗

Inspired by the paper on quantum knots and knot mosaics [23] and grid diagrams (or arc presentations), used extensively in the computations of Heegaard-Floer knot homology [2,3,7,24], we construct the more concise representation of knot mosaics and grid diagrams via mirror-curves. Tame knot theory is equivalent to knot…

2011-06-19abs ↗pdf ↗

Lomonaco and Kauffman introduced a knot mosaic system to give a definition of a quantum knot system which can be viewed as a blueprint for the construction of an actual physical quantum system. A knot nn-mosaic is an n×nn \times n matrix of 11 kinds of specific mosaic tiles representing a knot or a link by adjoining pr…

2013-03-28abs ↗pdf ↗

In this paper, we work to construct mosaic representations of knots on the torus, rather than in the plane. This consists of a particular choice of the ambient group, as well as different definitions of contiguous and suitably connected. We present conditions under which mosaic numbers might decrease by this projection…

2012-06-18abs ↗pdf ↗

Lomonaco and Kauffman developed a knot mosaic system to introduce a precise and workable definition of a quantum knot system. This definition is intended to represent an actual physical quantum system. A knot (m,n)-mosaic is an m×nm \times n matrix of mosaic tiles (T0T_0 through T10T_{10} depicted in the introduction) re…

2014-12-15abs ↗pdf ↗

In this paper, we give a precise and workable definition of a quantum knot system, the states of which are called quantum knots. This definition can be viewed as a blueprint for the construction of an actual physical quantum system. Moreover, this definition of a quantum knot system is intended to represent the "quantu…

2008-05-03abs ↗pdf ↗

This paper presents a novel framework for generating texture mosaics with convolutional neural networks. Our method is called GANosaic and performs optimization in the latent noise space of a generative texture model, which allows the transformation of a content image into a mosaic exhibiting the visual properties of t…

2017-12-01abs ↗pdf ↗

MOSAIC detects change points in dynamic networks with low-rank and sparse changes.

problem Detecting change points in dynamic networks with specific structural properties.
method Eigen-decomposition-based test with screened signals and residual-based adjustment.
result MOSAIC achieves minimax-optimal detection and testing rates.

In this paper we show how to place Michael Berry's discovery of knotted zeros in the quantum states of hydrogen in the context of general knot theory and in the context of our formulations for quantum knots. Berry gave a time independent wave function for hydrogen, as a map from three space to the complex plane and suc…

2019-04-15abs ↗pdf ↗

Representations of sets are challenging to learn because operations on sets should be permutation-invariant. To this end, we propose a Permutation-Optimisation module that learns how to permute a set end-to-end. The permuted set can be further processed to learn a permutation-invariant representation of that set, avoid…

2018-12-10abs ↗pdf ↗

MOSAIC selects few informative exemplars from high-dimensional data with non-linear structures.

problem Representative selection from high-dimensional data with non-linear structures.
method MOSAIC uses a multi-criteria approach with a quadratic formulation to maximize global representation power, diversity, and outlier detection.
result MOSAIC maximizes data coverage in a transformed space and achieves robustness to various outlier types.

The AutoML task consists of selecting the proper algorithm in a machine learning portfolio, and its hyperparameter values, in order to deliver the best performance on the dataset at hand. Mosaic, a Monte-Carlo tree search (MCTS) based approach, is presented to handle the AutoML hybrid structural and parametric expensiv…

2019-06-01abs ↗pdf ↗

Theory explains creativity in diffusion models generating novel images.

problem Diffusion models generate highly original images far from training data.
method Identified locality and equivariance as inductive biases to prevent optimal score-matching.
result Analytic models predict diffusion model outputs with high accuracy.

We show that the orthogonal separation coordinates on the sphere SnS^n are naturally parametrised by the real version of the Deligne-Mumford-Knudsen moduli space Mˉ0,n+2(R)\bar M_{0,n+2}(R) of stable curves of genus zero with n+2n+2 marked points. We use the combinatorics of Stasheff polytopes tessellating Mˉ0,n+2(R)\bar M_{0,n+2}(R) t…

2013-07-23abs ↗pdf ↗

Large datasets of sub-meter aerial imagery represented as orthophoto mosaics are widely available today, and these data sets may hold a great deal of untapped information. This imagery has a potential to locate several types of features; for example, forests, parking lots, airports, residential areas, or freeways in th…

2019-05-01abs ↗pdf ↗

Extends Fisher's Discriminant Analysis for interval-valued data.

problem Classifying entities represented by intervals and histograms.
method Adapts Fisher's Discriminant Analysis using Moore's interval arithmetic and Mallows' distance.
result Discriminant directions for interval-valued data are numerically maximized.

This paper explores how deep learning models can fit data exactly and why this is important.

problem Understanding why deep learning models can fit data exactly and generalize well.
method Interpolation and over-parameterization as key themes to understand deep learning.
result Interpolation and over-parameterization are crucial for deep learning models to fit data exactly and generalize well.

Most digital cameras use sensors coated with a Color Filter Array (CFA) to capture channel components at every pixel location, resulting in a mosaic image that does not contain pixel values in all channels. Current research on reconstructing these missing channels, also known as demosaicing, introduces many artifacts, …

2019-03-26abs ↗pdf ↗