Skip to main content

numerics - Finding differences between Pi with varying number of decimals


I have the following code


In[32]:= N[Pi, 2]

Out[32]= 3.1


In[33]:= N[Pi, 1]

Out[33]= 3.

In[34]:= N[Pi, 2] - N[Pi, 1]

Out[34]= 0.*10^-1

Why can't Mathematica find the difference between the two numbers?



Answer




N does not round numbers or truncate them.


The internal forms of


N[Pi, 1] // FullForm
N[Pi, 2] // FullForm

are respectively


(*
3.1415926535897932384626433832795028842`1.
3.1415926535897932384626433832795028842`2.
*)


Note that the numerical values are identical although the precisions differ. Their difference is zero and all significant digits are lost. The Front End typesets numerical results in StandardForm by showing only the significant digits determined by their precision.


This may be closer to what you're after:


Table[
N[Floor[Pi, 10^n] - Floor[Pi, 10^(n + 1)]],
{n, 0, -5, -1}]
(*
{3.,
0.1,
0.04,

0.001,
0.0005,
0.00009}
*)



Update to incorporate some of the related points made in the comments:


According to the tutorial NumericalPrecision, a nonzero approximate number x with precision p is defined to have uncertainty Abs[x] 10^-p. Likewise, the precision of a nonzero approximate number x with uncertainty d is given by -Log10[d/Abs[x]].


If approximate numbers are added or subtracted, the uncertainties are added. There are similar such rules for other arithmetic operations and the evaluation of functions. Consequently given two numbers $x_1,x_2$ with uncertainties $d_1,d_2$, the precision of $x_1\pm x_2$ is given by $$ p = -\log_{10}\left({d_1+d_2 \over |\,x_1\pm x_2|} \right)\,.$$


In the OP's case the precision would be negative (negative infinity at that). In cases where the precision is negative, Mathematica returns zero with corresponding computed accuracy.



Here is an illustration from the old comments. The function precDiff[{x1, p1}, {x2, p2}] computes the precision of the difference of numbers x1, x2 with precisions p1, p2.


precDiff[{x1_, p1_}, {x2_, p2_}] :=
-Log10[(10^-p1 Abs[x1] + 10^-p2 Abs[x2])/Abs[x1 - x2]]

This shows that the computed precision of N[34/10, 2] - N[Pi, 1] is negative.


N @ precDiff[{34/10, 2}, {Pi, 1}]
N[34/10, 2] - N[Pi, 1] // FullForm
(*
-0.129473
0``0.4582220427094728

*)

This shows that the computed precision of N[35/10, 2] - N[Pi, 1] agrees with Mathematica's .


N @ precDiff[{35/10, 2}, {Pi, 1}]
N[35/10, 2] - N[Pi, 1] // FullForm
(*
0.0113533
0.35840734641020676153735661672049580005`0.011353331924907081
*)

Comments

Popular posts from this blog

plotting - How to draw lines between specified dots on ListPlot?

I would like to create a plot where I have unconnected dots and some connected. So far, I have figured out how to draw the dots. My code is the following: ListPlot[{{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4,13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full] I have thought using ListLinePlot command, but I don't know how to specify to the command to draw only selected lines between the dots. Do have any suggestions/hints on how to do that? Thank you. Answer One possibility would be to use Epilog with Line : ListPlot[ {{1, 1}, {2, 2}, {3, 3}, {4, 4}, {1, 4}, {2, 5}, {3, 6}, {4, 7}, {1, 7}, {2, 8}, {3, 9}, {4, 10}, {1, 10}, {2, 11}, {3, 12}, {4, 13}, {2.5, 7}}, Ticks -> {{1, 2, 3, 4}, None}, AxesStyle -> Thin, TicksStyle -> Directive[Black, Bold, 12], Mesh -> Full, Epilog -> { Line[ ...

dynamic - How can I make a clickable ArrayPlot that returns input?

I would like to create a dynamic ArrayPlot so that the rectangles, when clicked, provide the input. Can I use ArrayPlot for this? Or is there something else I should have to use? Answer ArrayPlot is much more than just a simple array like Grid : it represents a ranged 2D dataset, and its visualization can be finetuned by options like DataReversed and DataRange . These features make it quite complicated to reproduce the same layout and order with Grid . Here I offer AnnotatedArrayPlot which comes in handy when your dataset is more than just a flat 2D array. The dynamic interface allows highlighting individual cells and possibly interacting with them. AnnotatedArrayPlot works the same way as ArrayPlot and accepts the same options plus Enabled , HighlightCoordinates , HighlightStyle and HighlightElementFunction . data = {{Missing["HasSomeMoreData"], GrayLevel[ 1], {RGBColor[0, 1, 1], RGBColor[0, 0, 1], GrayLevel[1]}, RGBColor[0, 1, 0]}, {GrayLevel[0], GrayLevel...

functions - What best practices or performance considerations are there for choosing between Cases, Position, Pick and Select?

Cases , Select , Pick and Position each have different syntaxes and purposes, but there are times when you can express the same calculation equivalently using either of them. So with this input: test = RandomInteger[{-25, 25}, {20, 2}] {{-15, 13}, {-8, 16}, {-8, -19}, {7, 6}, {-21, 9}, {-3, -25}, {21, -18}, {4, 4}, {2, -2}, {-24, 8}, {-17, -8}, {4, -18}, {22, -24}, {-4, -3}, {21, 0}, {19, 18}, {-23, -8}, {23, -25}, {14, -2}, {-1, -13}} You can get the following equivalent results: Cases[test, {_, _?Positive}] {{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}} Select[test, #[[2]] > 0 &] {{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}} Pick[test, Sign[test[[All, 2]] ], 1] {{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}} test[[Flatten@Position[test[[All, 2]], _?Positive] ]] {{-15, 13}, {-8, 16}, {7, 6}, {-21, 9}, {4, 4}, {-24, 8}, {19, 18}} Are there performance or other considerations that should guide which you shou...