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Expression of type Lambda

from the theory of proveit.linear_algebra.tensors

In [1]:
import proveit
# Automation is not needed when building an expression:
proveit.defaults.automation = False # This will speed things up.
proveit.defaults.inline_pngs = False # Makes files smaller.
%load_expr # Load the stored expression as 'stored_expr'
# import Expression classes needed to build the expression
from proveit import Conditional, Lambda, gamma, i, x, y
from proveit.linear_algebra import ScalarMult, TensorProd
from proveit.logic import InSet
from proveit.numbers import Interval, four, two
In [2]:
# build up the expression from sub-expressions
expr = Lambda(i, Conditional(ScalarMult(ScalarMult(gamma, i), TensorProd(x, y)), InSet(i, Interval(two, four))))
expr:
In [3]:
# check that the built expression is the same as the stored expression
assert expr == stored_expr
assert expr._style_id == stored_expr._style_id
print("Passed sanity check: expr matches stored_expr")
Passed sanity check: expr matches stored_expr
In [4]:
# Show the LaTeX representation of the expression for convenience if you need it.
print(stored_expr.latex())
i \mapsto \left\{\left(\gamma \cdot i\right) \cdot \left(x {\otimes} y\right) \textrm{ if } i \in \{2~\ldotp \ldotp~4\}\right..
In [5]:
stored_expr.style_options()
no style options
In [6]:
# display the expression information
stored_expr.expr_info()
 core typesub-expressionsexpression
0Lambdaparameter: 18
body: 2
1ExprTuple18
2Conditionalvalue: 3
condition: 4
3Operationoperator: 11
operands: 5
4Operationoperator: 6
operands: 7
5ExprTuple8, 9
6Literal
7ExprTuple18, 10
8Operationoperator: 11
operands: 12
9Operationoperator: 13
operands: 14
10Operationoperator: 15
operands: 16
11Literal
12ExprTuple17, 18
13Literal
14ExprTuple19, 20
15Literal
16ExprTuple21, 22
17Variable
18Variable
19Variable
20Variable
21Literal
22Literal