See https://en.wikipedia.org/wiki/Jones_calculus for an application of 2D 
complex vectors and their euclidean norms.





Den 15:07 fredag den 20. december 2013 skrev km <[email protected]>:
 
"I don't think the Euclidian norm applies in this case [a vector of two complex 
numbers].  If so, please let me know how.  Don"
>
>I don't know how without knowing the application. Besides the Euclidian norm 
>there are the taxicab norm (sum of absolute values) and sup norm (maximum of 
>absolute values) which may be of more use in a given application.
>
>A possible application for two complex numbers is that the first is position 
>and the second is velocity.  Their individual Euclidian norms are distance 
>from the origin and speed.  The Euclidian norm of the pair might be an 
>indicator of fuel cost for getting to the origin; if we're talking about a 
>taxicab, the taxicab norm might be more useful!
>
>For what it's worth, there is a mathematical definition of "norm in a vector 
>space", and the Euclidian,
 taxicab, and sup norms all satisfy that definition.
>
>--Kip Murray
>
>Sent from my iPad
>
>> On Dec 20, 2013, at 6:37 AM, EelVex <[email protected]> wrote:
>> 
>> You can apply an Euclidian norm in any n-dimensional space you like.
>> What do you mean it might not apply in this case?
>> 
>> 
>> 
>>> On Fri, Dec 20, 2013 at 6:02 AM, Don Kelly <[email protected]> wrote:
>>> 
>>> I have little  problem with complex numbers, having used them for the last
>>> 70 years and surviving math and other grad
 courses dealing with them (at U
>>> of Alberta,  U of Illinois -Champlain Urbana)  where I struggled through a
>>> PhD in EE
>>> I also have dealt with (complex number ) matrices considerably larger than
>>> 2 by 2 and with higher order sets of differential equations, In both cases,
>>> nonlinearity lifts its ugly head. Hey, when dealing with power systems and
>>> machines, big messy problems exist .
>>> 
>>> My problem is not with complex numbers but with the verb 'en' which works
>>> with any single vector. but if you give it 2 -2D vectors (i.e complex
>>> numbers) it treats the components of the two vectors (say 1j2 , 4j10) as if
>>> they are a single 4D vector.
>>> I really don't think the
 Euclidian norm applies in this case. If so,
>>> please let me know how.
>>> 
>>> Don
>>> 
>>> 
>>> 
>>> 
>>> 
>>> 
>>>> On 17/12/2013 8:32 PM, km wrote:
>>>> 
>>>> There are uses for such vectors, along with 2 by 2 matrices of complex
>>>> numbers, in the theory and practice of two differential equations with two
>>>> unknown functions.  This is the kind of math engineers usually learn in
>>>> their third year of college or university.  Certain problems become easier
>>>> to do when you use complex numbers and matrices.  Today's software takes
>>>> away most of the
 drudgery!
>>>> 
>>>> I have to admit that in second year courses complex numbers and matrices
>>>> tend to be Chapter 10 of a ten-chapter book, for example Gilbert Strang's
>>>> Introduction to Linear Algebra, used in sophomore courses at MIT and at my
>>>> school the University of Houston.
>>>> 
>>>> --Kip Murray
>>>> 
>>>> Sent from my iPad
>>>> 
>>>>> On Dec 17, 2013, at 8:52 PM, Don Kelly <[email protected]> wrote:
>>>>> 
>>>>> I have some problem here with the 2D complex vector.
>>>>> Either 1j2 and 4j10 are vectors (2D) measured
 from the origin OR they
>>>>> specify a vector in terms of  two end points.
>>>>> In the first case they each have independent norms  1.414 and 2.236  as
>>>>> given by (|)
>>>>> In the second case the vector is,for example, the difference (+/-)
>>>>> 3j8which has a norm 8.544
>>>>> when en produces the same result for a 4D vector 1 2 4 10 and for 2 2D
>>>>> vectors, we are somehow sending one of these into the third and fourth
>>>>> dimensions.
>>>>> 
>>>>> My problem is that a norm is defined for each of the vectors and or the
>>>>> vector result of operations on these vectors.   en appears to be work for
>>>>> a
 single vector in any dimensional space but the Euclidean norm is a
>>>>> measure of the length of an individual vector- not of two independent
>>>>> vectors in the same space.
>>>>> 
>>>>> Don Kelly
>>>>> 
>>>>>> On 16/12/2013 7:24 AM, Bo Jacoby wrote:
>>>>>> NB. I would omit ("1) and arrange multiple vectors in columns.
>>>>>>      en =: [: %: [: +/(* +)
>>>>>>      ]zz =: |: 2 2 $ 1j1 1j1 1j2 4j10 NB. two column vectors
>>>>>> 1j1  1j2
>>>>>> 1j1 4j10
>>>>>>    en 1 2 4 10 NB. norm of 4D real vector
>>>>>> 11
>>>>>>    en 1j2 4j10 NB. 2D complex vector
>>>>>> 11
>>>>>>    en zz  NB. norms of column vectors
>>>>>> 2 11
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> 
>>>>>> Den 15:42 mandag den 16. december 2013 skrev Lippu Esa <
>>>>>> [email protected]>:
>>>>>>  Very nice indeed!
>>>>>> 
>>>>>>> Esa
>>>>>>> -----Original Message-----
>>>>>>> From: [email protected] [mailto:
>>>>>>> [email protected]] On Behalf Of Aai
>>>>>>> Sent: 16. joulukuuta 2013 14:42
>>>>>>> To: [email protected]
>>>>>>> Subject: Re: [Jprogramming] Length of a vector
>>>>>>> 
>>>>>>>     |@j./"1 yy
>>>>>>>   5 13
>>>>>>> 17 25
>>>>>>> 
>>>>>>> 
>>>>>>>> On 16-12-13 04:38, km wrote:
>>>>>>>> This is an easy one, but let's see what you come up with.
>>>>>>>> 
>>>>>>>> The Euclidian norm or length of a vector is the square root of the
>>>>>>>> sum of the squares of its components.  Write verb  en  below.  It 
>>>>>>>> should be
>>>>>>>> able to find the length of a vector of any number of components.
>>>>>>>> 
>>>>>>>>      ]yy =: 2 2 2 $ 3 4 5 12 8 15 7 24
>>>>>>>> 3  4
>>>>>>>> 5 12
>>>>>>>> 
>>>>>>>> 8 15
>>>>>>>> 7 24
>>>>>>>>      en yy  NB. lengths of 3 4 and 5 12 and 8 15 and 7 24
>>>>>>>>    5 13
>>>>>>>> 17 25
>>>>>>>> 
>>>>>>>> -- Kip Murray
>>>>>>>> 
>>>>>>>> Sent from my iPad
>>>>>>>> ------------------------------------------------------------
>>>>>>>> ----------
>>>>>>>> For information about J forums see http://www.jsoftware.com/
>>>>>>>> forums.htm
>>>>>>>> 
>>>>>>> --
>>>>>>> Met vriendelijke groet,
>>>>>>> @@i = Arie Groeneveld
>
>>>>>>> 
>>>>>>> 
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