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 gamma, i, x, y
from proveit.linear_algebra import ScalarMult, TensorProd, VecSum
from proveit.logic import Equals
from proveit.numbers import Interval, four, two
In [2]:
# build up the expression from sub-expressions
sub_expr1 = [i]
sub_expr2 = Interval(two, four)
expr = Equals(VecSum(index_or_indices = sub_expr1, summand = ScalarMult(gamma, ScalarMult(i, TensorProd(x, y))), domain = sub_expr2), ScalarMult(gamma, TensorProd(x, VecSum(index_or_indices = sub_expr1, summand = ScalarMult(i, y), domain = sub_expr2))))
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(\sum_{i=2}^{4} \left(\gamma \cdot \left(i \cdot \left(x {\otimes} y\right)\right)\right)\right) = \left(\gamma \cdot \left(x {\otimes} \left(\sum_{i=2}^{4} \left(i \cdot y\right)\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: 14
operand: 7
4Operationoperator: 27
operands: 6
5ExprTuple7
6ExprTuple16, 8
7Lambdaparameter: 33
body: 9
8Operationoperator: 25
operands: 10
9Conditionalvalue: 11
condition: 24
10ExprTuple31, 12
11Operationoperator: 27
operands: 13
12Operationoperator: 14
operand: 18
13ExprTuple16, 17
14Literal
15ExprTuple18
16Variable
17Operationoperator: 27
operands: 19
18Lambdaparameter: 33
body: 21
19ExprTuple33, 22
20ExprTuple33
21Conditionalvalue: 23
condition: 24
22Operationoperator: 25
operands: 26
23Operationoperator: 27
operands: 28
24Operationoperator: 29
operands: 30
25Literal
26ExprTuple31, 32
27Literal
28ExprTuple33, 32
29Literal
30ExprTuple33, 34
31Variable
32Variable
33Variable
34Operationoperator: 35
operands: 36
35Literal
36ExprTuple37, 38
37Literal
38Literal