clifford.Layout¶

class
clifford.
Layout
(sig, bladeTupList, firstIdx=0, names=None)[source]¶ Layout stores information regarding the geometric algebra itself and the internal representation of multivectors.
It is constructed like this:
Layout(signature, bladeTupList, firstIdx=0, names=None)The arguments to be passed are interpreted as follows:
 signature – the signature of the vector space. This should be
a list of positive and negative numbers where the sign determines the sign of the inner product of the corresponding vector with itself. The values are irrelevant except for sign. This list also determines the dimensionality of the vectors. Signatures with zeroes are not permitted at this time.
 Examples:
 signature = [+1, 1, 1, 1] # Hestenes’, et al. SpaceTime Algebra signature = [+1, +1, +1] # 3D Euclidean signature
 bladeTupList – list of tuples corresponding to the blades in the whole
algebra. This list determines the order of coefficients in the internal representation of multivectors. The entry for the scalar must be an empty tuple, and the entries for grade1 vectors must be singleton tuples. Remember, the length of the list will be 2**dims.
 Example:
 bladeTupList = [(), (0,), (1,), (0,1)] # 2D
 firstIdx – the index of the first vector. That is, some systems number
 the base vectors starting with 0, some with 1. Choose by passing the correct number as firstIdx. 0 is the default.
 names – list of names of each blade. When prettyprinting multivectors,
use these symbols for the blades. names should be in the same order as bladeTupList. You may use an empty string for scalars. By default, the name for each nonscalar blade is ‘e’ plus the indices of the blade as given in bladeTupList.
 Example:
 names = [‘’, ‘s0’, ‘s1’, ‘i’] # 2D
Layout’s Members:
dims – dimensionality of vectors (== len(signature))
sig – normalized signature (i.e. all values are +1 or 1)
firstIdx – starting point for vector indices
bladeTupList – list of blades
gradeList – corresponding list of the grades of each blade
gaDims – 2**dims
einf – if conformal returns einf
eo – if conformal returns eo
names – prettyprinting symbols for the blades
even – dictionary of even permutations of blades to the canonical blades
odd – dictionary of odd permutations of blades to the canonical blades
gmt – multiplication table for geometric product [1]
imt – multiplication table for inner product [1]
omt – multiplication table for outer product [1]
lcmt – multiplication table for the leftcontraction [1]
 [1] The multiplication tables are NumPy arrays of rank 3 with indices like
 the tensor g_ijk discussed above.
Attributes
I 
the psuedoScalar 
basis_names 

basis_vectors 

basis_vectors_lst 

blades 

blades_list 
Ordered list of blades in this layout (with scalar as [0]) 
metric 

pseudoScalar 
the psuedoScalar 
scalar 
the scalar of value 1, for this GA (a MultiVector object) 
Methods
MultiVector 
create a multivector in this layout 
__init__ 
Initialize self. 
bases 
Returns a dictionary mapping basis element names to their MultiVector instances, optionally for specific grades 
blades_of_grade 
return all blades of a given grade, 
dict_to_multivector 
Takes a dictionary of coefficient values and converts it into a MultiVector object 
get_grade_projection_matrix 
Returns the matrix M_g that performs grade projection via left multiplication eg. 
get_left_gmt_matrix 
This produces the matrix X that performs left multiplication with x eg. 
get_right_gmt_matrix 
This produces the matrix X that performs right multiplication with x eg. 
gmt_func_generator 

imt_func_generator 

lcmt_func_generator 

load_ga_file 
Takes a ga file Checks it is the same signature as this layout Loads the data into an MVArray 
omt_func_generator 

parse_multivector 
Parses a multivector string into a MultiVector object 
randomMV 
Convenience method to create a random multivector. 
randomRotor 
generate a random Rotor. 
randomV 
generate n random 1vector s 