Around usage results Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?SlotSequence (##) form analogous to #[[ ;; n]]How can I avoid getting the error message Goto::nolabel in my code?Association of pure functionsDictionaryLoopkup - pattern specificationWhat is the relationship between Thread and MapThreadWhat are the requirements for a well behaved indexed variable? Subscript, ToExpression, Downvalue?Understanding Part and Span operating on expressions with heads that are not ListWhy does using replacement rules give a different result than setting the variable?Problem storing $x_j$ terms in variable xUnexpected behavior from Apply

Why are the trig functions versine, haversine, exsecant, etc, rarely used in modern mathematics?

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Around usage results



Planned maintenance scheduled April 17/18, 2019 at 00:00UTC (8:00pm US/Eastern)
Announcing the arrival of Valued Associate #679: Cesar Manara
Unicorn Meta Zoo #1: Why another podcast?SlotSequence (##) form analogous to #[[ ;; n]]How can I avoid getting the error message Goto::nolabel in my code?Association of pure functionsDictionaryLoopkup - pattern specificationWhat is the relationship between Thread and MapThreadWhat are the requirements for a well behaved indexed variable? Subscript, ToExpression, Downvalue?Understanding Part and Span operating on expressions with heads that are not ListWhy does using replacement rules give a different result than setting the variable?Problem storing $x_j$ terms in variable xUnexpected behavior from Apply










9












$begingroup$


Why is



Around[10, 1]^2


  1. +- 20

and



Around[10, 1] Around[10, 1]


giving 100 +- 14 ?



Just curious I would suspect them to be the same but I'm not an expert on this for sure.










share|improve this question









$endgroup$











  • $begingroup$
    If the intent for Around in Mathematica is for propagating errors, then this is almost certainly a bug. Interestingly enough, I think the second one is correct, whereas the first is not.
    $endgroup$
    – march
    7 hours ago
















9












$begingroup$


Why is



Around[10, 1]^2


  1. +- 20

and



Around[10, 1] Around[10, 1]


giving 100 +- 14 ?



Just curious I would suspect them to be the same but I'm not an expert on this for sure.










share|improve this question









$endgroup$











  • $begingroup$
    If the intent for Around in Mathematica is for propagating errors, then this is almost certainly a bug. Interestingly enough, I think the second one is correct, whereas the first is not.
    $endgroup$
    – march
    7 hours ago














9












9








9


1



$begingroup$


Why is



Around[10, 1]^2


  1. +- 20

and



Around[10, 1] Around[10, 1]


giving 100 +- 14 ?



Just curious I would suspect them to be the same but I'm not an expert on this for sure.










share|improve this question









$endgroup$




Why is



Around[10, 1]^2


  1. +- 20

and



Around[10, 1] Around[10, 1]


giving 100 +- 14 ?



Just curious I would suspect them to be the same but I'm not an expert on this for sure.







core-language






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked 7 hours ago









LouLou

1,6581323




1,6581323











  • $begingroup$
    If the intent for Around in Mathematica is for propagating errors, then this is almost certainly a bug. Interestingly enough, I think the second one is correct, whereas the first is not.
    $endgroup$
    – march
    7 hours ago

















  • $begingroup$
    If the intent for Around in Mathematica is for propagating errors, then this is almost certainly a bug. Interestingly enough, I think the second one is correct, whereas the first is not.
    $endgroup$
    – march
    7 hours ago
















$begingroup$
If the intent for Around in Mathematica is for propagating errors, then this is almost certainly a bug. Interestingly enough, I think the second one is correct, whereas the first is not.
$endgroup$
– march
7 hours ago





$begingroup$
If the intent for Around in Mathematica is for propagating errors, then this is almost certainly a bug. Interestingly enough, I think the second one is correct, whereas the first is not.
$endgroup$
– march
7 hours ago











1 Answer
1






active

oldest

votes


















10












$begingroup$

There's a subtlety here.



When operating together multiple Arounds, the two uncertainties will be considered separate and independent (in the statistical sense). Thus the result will be different from squaring a single one.



Consider



N@StandardDeviation@
TransformedDistribution[
x y,
x [Distributed] NormalDistribution[10, 1],
y [Distributed] NormalDistribution[10, 1]]

(* 14.1774 *)


versus



N@StandardDeviation@TransformedDistribution[x^2, x [Distributed] NormalDistribution[10, 1]]

(* 20.0499 *)


The same can also be observed with addition:



Around[10, 1] + Around[10, 1]
(* Around[20., 1.4142135623730951`] *)

2 Around[10, 1]
(* Around[20., 2.] *)



To specify that all occurrences of an Around expression are the same, use AroundReplace.



For example, compare



x^2 + x /. x -> Around[1, .1]
(* Around[2., 0.223606797749979] *)


with



AroundReplace[x^2 + x, x -> Around[1, .1]]
(* Around[2., 0.30000000000000004`] *)





share|improve this answer











$endgroup$












  • $begingroup$
    Also, AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 1.]] vs AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 0.]].
    $endgroup$
    – b.gatessucks
    7 hours ago











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









10












$begingroup$

There's a subtlety here.



When operating together multiple Arounds, the two uncertainties will be considered separate and independent (in the statistical sense). Thus the result will be different from squaring a single one.



Consider



N@StandardDeviation@
TransformedDistribution[
x y,
x [Distributed] NormalDistribution[10, 1],
y [Distributed] NormalDistribution[10, 1]]

(* 14.1774 *)


versus



N@StandardDeviation@TransformedDistribution[x^2, x [Distributed] NormalDistribution[10, 1]]

(* 20.0499 *)


The same can also be observed with addition:



Around[10, 1] + Around[10, 1]
(* Around[20., 1.4142135623730951`] *)

2 Around[10, 1]
(* Around[20., 2.] *)



To specify that all occurrences of an Around expression are the same, use AroundReplace.



For example, compare



x^2 + x /. x -> Around[1, .1]
(* Around[2., 0.223606797749979] *)


with



AroundReplace[x^2 + x, x -> Around[1, .1]]
(* Around[2., 0.30000000000000004`] *)





share|improve this answer











$endgroup$












  • $begingroup$
    Also, AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 1.]] vs AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 0.]].
    $endgroup$
    – b.gatessucks
    7 hours ago















10












$begingroup$

There's a subtlety here.



When operating together multiple Arounds, the two uncertainties will be considered separate and independent (in the statistical sense). Thus the result will be different from squaring a single one.



Consider



N@StandardDeviation@
TransformedDistribution[
x y,
x [Distributed] NormalDistribution[10, 1],
y [Distributed] NormalDistribution[10, 1]]

(* 14.1774 *)


versus



N@StandardDeviation@TransformedDistribution[x^2, x [Distributed] NormalDistribution[10, 1]]

(* 20.0499 *)


The same can also be observed with addition:



Around[10, 1] + Around[10, 1]
(* Around[20., 1.4142135623730951`] *)

2 Around[10, 1]
(* Around[20., 2.] *)



To specify that all occurrences of an Around expression are the same, use AroundReplace.



For example, compare



x^2 + x /. x -> Around[1, .1]
(* Around[2., 0.223606797749979] *)


with



AroundReplace[x^2 + x, x -> Around[1, .1]]
(* Around[2., 0.30000000000000004`] *)





share|improve this answer











$endgroup$












  • $begingroup$
    Also, AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 1.]] vs AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 0.]].
    $endgroup$
    – b.gatessucks
    7 hours ago













10












10








10





$begingroup$

There's a subtlety here.



When operating together multiple Arounds, the two uncertainties will be considered separate and independent (in the statistical sense). Thus the result will be different from squaring a single one.



Consider



N@StandardDeviation@
TransformedDistribution[
x y,
x [Distributed] NormalDistribution[10, 1],
y [Distributed] NormalDistribution[10, 1]]

(* 14.1774 *)


versus



N@StandardDeviation@TransformedDistribution[x^2, x [Distributed] NormalDistribution[10, 1]]

(* 20.0499 *)


The same can also be observed with addition:



Around[10, 1] + Around[10, 1]
(* Around[20., 1.4142135623730951`] *)

2 Around[10, 1]
(* Around[20., 2.] *)



To specify that all occurrences of an Around expression are the same, use AroundReplace.



For example, compare



x^2 + x /. x -> Around[1, .1]
(* Around[2., 0.223606797749979] *)


with



AroundReplace[x^2 + x, x -> Around[1, .1]]
(* Around[2., 0.30000000000000004`] *)





share|improve this answer











$endgroup$



There's a subtlety here.



When operating together multiple Arounds, the two uncertainties will be considered separate and independent (in the statistical sense). Thus the result will be different from squaring a single one.



Consider



N@StandardDeviation@
TransformedDistribution[
x y,
x [Distributed] NormalDistribution[10, 1],
y [Distributed] NormalDistribution[10, 1]]

(* 14.1774 *)


versus



N@StandardDeviation@TransformedDistribution[x^2, x [Distributed] NormalDistribution[10, 1]]

(* 20.0499 *)


The same can also be observed with addition:



Around[10, 1] + Around[10, 1]
(* Around[20., 1.4142135623730951`] *)

2 Around[10, 1]
(* Around[20., 2.] *)



To specify that all occurrences of an Around expression are the same, use AroundReplace.



For example, compare



x^2 + x /. x -> Around[1, .1]
(* Around[2., 0.223606797749979] *)


with



AroundReplace[x^2 + x, x -> Around[1, .1]]
(* Around[2., 0.30000000000000004`] *)






share|improve this answer














share|improve this answer



share|improve this answer








edited 5 hours ago









Carl Lange

5,36411242




5,36411242










answered 7 hours ago









SzabolcsSzabolcs

164k14449953




164k14449953











  • $begingroup$
    Also, AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 1.]] vs AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 0.]].
    $endgroup$
    – b.gatessucks
    7 hours ago
















  • $begingroup$
    Also, AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 1.]] vs AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 0.]].
    $endgroup$
    – b.gatessucks
    7 hours ago















$begingroup$
Also, AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 1.]] vs AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 0.]].
$endgroup$
– b.gatessucks
7 hours ago




$begingroup$
Also, AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 1.]] vs AroundReplace[ x1 x2, x1, x2 -> VectorAround[10., 10., 1., 1., 0.]].
$endgroup$
– b.gatessucks
7 hours ago

















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