NpcLinearOperator

• full name: tenpy.linalg.sparse.NpcLinearOperator

• parent module: tenpy.linalg.sparse

• type: class

Inheritance Diagram

Methods

NpcLinearOperator.__init__()
NpcLinearOperator.adjoint()	Return the hermitian conjugate of self
NpcLinearOperator.matvec(vec)	Calculate the action of the operator on a vector vec.
NpcLinearOperator.to_matrix()	Contract self to a matrix.

Class Attributes and Properties

NpcLinearOperator.acts_on

class tenpy.linalg.sparse.NpcLinearOperator

Bases: object

Prototype for a Linear Operator acting on Array.

Note that an Array implements a matvec function. Thus you can use any (square) npc Array as an NpcLinearOperator.

dtype

The data type of its action.

Type:

np.type

acts_on

Labels of the state on which the operator can act. NB: Class attribute.

Type:

list of str

matvec(vec)

Calculate the action of the operator on a vector vec.

Note that we don’t require vec to be one-dimensional. However, for square operators we require that the result of matvec has the same legs (in the same order) as vec such that they can be added. Note that this excludes a non-trivial qtotal for square operators.

to_matrix()

Contract self to a matrix.

If self represents an operator with very small shape, e.g. because the MPS bond dimension is very small, an algorithm might choose to contract self to a single tensor.

Returns:

matrix – Contraction of the represented operator.

Return type:

Array

adjoint()

Return the hermitian conjugate of self

If self is hermitian, subclasses can choose to implement this to define the adjoint operator of self.