logo

Expression of type Equals

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 beta, i, x, y
from proveit.linear_algebra import ScalarMult, TensorProd, VecSum
from proveit.logic import Equals
from proveit.numbers import Exp, Interval, four, two
In [2]:
# build up the expression from sub-expressions
sub_expr1 = [i]
sub_expr2 = Exp(beta, two)
sub_expr3 = Interval(two, four)
expr = Equals(ScalarMult(sub_expr2, VecSum(index_or_indices = sub_expr1, summand = TensorProd(x, y), domain = sub_expr3)), ScalarMult(sub_expr2, TensorProd(x, VecSum(index_or_indices = sub_expr1, summand = y, domain = sub_expr3))))
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())
\left(\beta^{2} \cdot \left(\sum_{i=2}^{4} \left(x {\otimes} y\right)\right)\right) = \left(\beta^{2} \cdot \left(x {\otimes} \left(\sum_{i=2}^{4} y\right)\right)\right)
In [5]:
stored_expr.style_options()
namedescriptiondefaultcurrent valuerelated methods
operation'infix' or 'function' style formattinginfixinfix
wrap_positionsposition(s) at which wrapping is to occur; '2 n - 1' is after the nth operand, '2 n' is after the nth operation.()()('with_wrapping_at', 'with_wrap_before_operator', 'with_wrap_after_operator', 'without_wrapping', 'wrap_positions')
justificationif any wrap positions are set, justify to the 'left', 'center', or 'right'centercenter('with_justification',)
directionDirection of the relation (normal or reversed)normalnormal('with_direction_reversed', 'is_reversed')
In [6]:
# display the expression information
stored_expr.expr_info()
 core typesub-expressionsexpression
0Operationoperator: 1
operands: 2
1Literal
2ExprTuple3, 4
3Operationoperator: 6
operands: 5
4Operationoperator: 6
operands: 7
5ExprTuple9, 8
6Literal
7ExprTuple9, 10
8Operationoperator: 19
operand: 15
9Operationoperator: 12
operands: 13
10Operationoperator: 23
operands: 14
11ExprTuple15
12Literal
13ExprTuple16, 36
14ExprTuple27, 17
15Lambdaparameter: 32
body: 18
16Variable
17Operationoperator: 19
operand: 22
18Conditionalvalue: 21
condition: 29
19Literal
20ExprTuple22
21Operationoperator: 23
operands: 24
22Lambdaparameter: 32
body: 26
23Literal
24ExprTuple27, 28
25ExprTuple32
26Conditionalvalue: 28
condition: 29
27Variable
28Variable
29Operationoperator: 30
operands: 31
30Literal
31ExprTuple32, 33
32Variable
33Operationoperator: 34
operands: 35
34Literal
35ExprTuple36, 37
36Literal
37Literal