CoCalc Public FilesBoolean-Cayley-graphs / sage-code / cayley_graphs_boolean_dimension_2.ipynbOpen with one click!
Author: Paul Leopardi
Compute Environment: Ubuntu 18.04 (Deprecated)

Cayley graphs of binary bent functions of dimension 2.

Import the required modules.

In [1]:
import os from boolean_cayley_graphs.bent_function import BentFunction from boolean_cayley_graphs.bent_function_cayley_graph_classification import BentFunctionCayleyGraphClassification

Connect to the database that contains the classifications of bent functions in 2 dimensions.

In [2]:
load("boolean_dimension_cayley_graph_classifications.py")

Set c to be the list of classifications for dimension 2, starting from 1. c[0] is None.

In [3]:
c = save_boolean_dimension_cayley_graph_classifications(2, dir=os.path.join("..","sobj"))

Display the length of c, the list of classifications.

In [4]:
len(c)
2

Verify that c[0] is None.

In [5]:
print(c[0])
None

Print the algebraic normal form of the bent function corresponding to c[1].

In [6]:
c[1].algebraic_normal_form
x0*x1

Produce a report on the classification c[1].

In [7]:
c[1].report(report_on_graph_details=True)
Algebraic normal form of Boolean function: x0*x1 Function is bent. SDP design incidence structure t-design parameters: (True, (1, 4, 1, 1)) Classification of Cayley graphs and classification of Cayley graphs of duals are the same: There are 2 extended Cayley classes in the extended translation class. For each extended Cayley class in the extended translation class: Clique polynomial, strongly regular parameters, rank, and order of a representative graph; and linear code and generator matrix for a representative bent function: EC class 0 : Algebraic normal form of representative: x0*x1 Clique polynomial: 2*t^2 + 4*t + 1 Strongly regular parameters: (4, 1, 0, 0) Rank: 4 Order: 8 Linear code from representative: [1, 1] linear code over GF(2) Generator matrix: [1] Linear code is projective. Weight distribution: {0: 1, 1: 1} EC class 1 : Algebraic normal form of representative: x0*x1 + x0 + x1 Clique polynomial: t^4 + 4*t^3 + 6*t^2 + 4*t + 1 Strongly regular parameters: False Rank: 4 Order: 24 Linear code from representative: [3, 2] linear code over GF(2) Generator matrix: [1 0 1] [0 1 1] Linear code is projective. Weight distribution: {0: 1, 2: 3}

Produce a matrix plot of the weight_class_matrix.

In [8]:
matrix_plot(c[1].weight_class_matrix,cmap='gist_stern')

Produce a matrix plot of bent_cayley_graph_index_matrix, the matrix of indices of extended Cayley classes within the extended translation class.

In [9]:
matrix_plot(c[1].bent_cayley_graph_index_matrix,cmap='gist_stern')
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