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»
Mathematica
>
Mathematics and Algorithms
>
Numerical Evaluation & Precision
>
Representation of Numbers
>
RealExponent
>
Mathematica
>
Core Language
>
Expressions
>
Expression Structure
>
Atomic Elements of Expressions
>
Representation of Numbers
>
RealExponent
>
BUILT-IN MATHEMATICA SYMBOL
Log10
Log
MantissaExponent
IntegerExponent
Accuracy
Precision
See Also »
|
Representation of Numbers
More About »
RealExponent
RealExponent
[
x
]
gives
.
RealExponent
gives
.
MORE INFORMATION
If
x
is an approximate number consistent with zero, then
RealExponent
[
x
]
gives
-
Accuracy
[
x
]
.
For any approximate number
x
,
RealExponent
[
x
]
is equal to
Precision
[
x
]-
Accuracy
[
x
]
.
»
RealExponent
automatically threads over lists.
EXAMPLES
CLOSE ALL
Basic Examples
(1)
The base 10 exponent for a number
:
This is the number
such that
:
The base-2 exponent:
This is the number
such that
:
The base 10 exponent for a number
:
In[1]:=
Out[1]=
This is the number
such that
:
In[2]:=
Out[2]=
The base-2 exponent:
In[3]:=
Out[3]=
This is the number
such that
:
In[4]:=
Out[4]=
Scope
(8)
The real exponent for an arbitrary-precision number:
The result of
RealExponent
is given as a machine number whatever the precision of
:
The real exponent for an exact number:
The real exponent for an exact numeric quantity:
Real exponent for zeros:
This is
-
Accuracy
[
x
]
:
The same is true for arbitrary-precision zeros:
Also for exact zero:
The real exponent for different bases:
The base can be any number strictly greater than 1:
The base can be an exact numeric quantity:
RealExponent
automatically threads over lists:
Applications
(2)
Determine quickly if a power will overflow:
This predicts that the power can be represented:
A larger power will not work:
Determine quickly the largest power tower
that will not overflow for a given number:
Properties & Relations
(4)
For any approximate number
x
,
RealExponent
[
x
]
is equal to
Precision
[
x
]-
Accuracy
[
x
]
:
Also true for arbitrary-precision numbers:
If
x
is an approximate zero, then
RealExponent
[
x
]
gives
-
Accuracy
[
x
]
:
This is the same as saying that the identity
RealExponent
[
x
]
is equal to
Precision
[
x
]-
Accuracy
[
x
]
:
Since precision is zero for approximate zeros:
The real exponent of a product is the sum of the real exponents:
The real exponent of a power is the real exponent of the base times the power:
SEE ALSO
Log10
Log
MantissaExponent
IntegerExponent
Accuracy
Precision
MORE ABOUT
Representation of Numbers
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