Received: from mail-iy0-f189.google.com ([209.85.210.189]:61510)
	by stodi.digitalkingdom.org with esmtps (TLSv1:RC4-SHA:128)
	(Exim 4.76)
	(envelope-from <lojban+bncCL3SuIvlExDLyd2BBRoEg4E6ng@googlegroups.com>)
	id 1T4s1i-00037T-Qb; Fri, 24 Aug 2012 04:26:15 -0700
Received: by iadx2 with SMTP id x2sf1272891iad.16
        for <multiple recipients>; Fri, 24 Aug 2012 04:26:04 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;
        d=googlegroups.com; s=20120806;
        h=x-beenthere:received-spf:x-authenticated:x-provags-id:message-id
         :date:from:user-agent:mime-version:to:subject:references:in-reply-to
         :x-y-gmx-trusted:x-original-sender:x-original-authentication-results
         :reply-to:precedence:mailing-list:list-id:x-google-group-id
         :list-post:list-help:list-archive:sender:list-subscribe
         :list-unsubscribe:content-type;
        bh=/HYUTB/qSVcp1IPq1uDDnRoXYenHwxjm6LatWSB3T5c=;
        b=PnvSDEcWawNQe5jqcZdderfQJtwKOT/Hn/Rhdb0PiAvymOsfHaxaklB3L7UI34HyHn
         d6ep6qcbBodFjZnkdsxr/pj95h8d3ZrvaDhgwDid4I+Wttq38PFUnJlhlB/gB/FkyULr
         Yf2pXopWlc0OubIAUawnMOIXCcLV4WIkH91R3fHz5e88Qoi7z/0nwhebe7JjjM6wkhVt
         6yVAXYLN+KbDODYkxKp9F0+Ap2q4zqMPzZ0KjdV05/8131tpTJBhSDT60mFdqxHv5NR9
         JKDEwUKJqCINkIsmE0FitOl8bmFCcoGa3hfxkV5jukVXGjQ8fIPQBL5D4B8+u48jlPpe
         NE9w==
Received: by 10.68.197.70 with SMTP id is6mr871205pbc.14.1345807563834;
        Fri, 24 Aug 2012 04:26:03 -0700 (PDT)
X-BeenThere: lojban@googlegroups.com
Received: by 10.68.197.72 with SMTP id is8ls5012084pbc.5.gmail; Fri, 24 Aug
 2012 04:26:02 -0700 (PDT)
Received: by 10.66.77.35 with SMTP id p3mr753538paw.44.1345807562209;
        Fri, 24 Aug 2012 04:26:02 -0700 (PDT)
Received: by 10.66.77.35 with SMTP id p3mr753537paw.44.1345807562189;
        Fri, 24 Aug 2012 04:26:02 -0700 (PDT)
Received: from mailout-de.gmx.net (mailout-de.gmx.net. [213.165.64.23])
        by gmr-mx.google.com with SMTP id nv4si4554644pbc.2.2012.08.24.04.26.01;
        Fri, 24 Aug 2012 04:26:02 -0700 (PDT)
Received-SPF: pass (google.com: domain of seladwa@gmx.de designates 213.165.64.23 as permitted sender) client-ip=213.165.64.23;
Received: (qmail invoked by alias); 24 Aug 2012 11:25:59 -0000
Received: from p57A08A99.dip0.t-ipconnect.de (EHLO [192.168.1.33]) [87.160.138.153]
  by mail.gmx.net (mp027) with SMTP; 24 Aug 2012 13:25:59 +0200
X-Authenticated: #54293076
X-Provags-ID: V01U2FsdGVkX19biUQTkoxbwTEoVemAuPHrZFrHlWyfw9nvt/kDUh
	5N9oKzmq9F7L5x
Message-ID: <503764C4.6000706@gmx.de>
Date: Fri, 24 Aug 2012 13:25:56 +0200
From: selpa'i <seladwa@gmx.de>
User-Agent: Mozilla/5.0 (Windows NT 5.1; rv:14.0) Gecko/20120713 Thunderbird/14.0
MIME-Version: 1.0
To: lojban@googlegroups.com
Subject: Re: [lojban] Re: Direction of Rotation
References: <e4a06349-05ee-4a2c-b1ca-31463945eec6@googlegroups.com> <4bce1b85-1742-4819-bebf-3f3ffe9162e2@googlegroups.com> <CAMKwHj20KEozdcLTPhUwh4wxfB_rYpoR7ck2yTHO-h5=QqqnOA@mail.gmail.com> <af7e4672-537b-44da-b180-d975aba84716@googlegroups.com> <CALm==BUkDfYBv-HSymBJTOaivJqA=w05g4aDJ3SPnfD_udvSBA@mail.gmail.com> <1344787920.72396.YahooMailNeo@web184403.mail.bf1.yahoo.com> <CALm==BUzHM3FAGMyhHZ5Y7JCbNG5UgFT2gPjzsDzrdzSSOpDXw@mail.gmail.com> <9c8f151a-c423-4d97-9f5c-d2c5fcade18c@googlegroups.com> <CAMKwHj0H1MD-nPEO2-0gffP9eFdTd-0OG3Oov-JEg=_7Q8ejfg@mail.gmail.com> <502880CD.8070301@gmail.com> <CAMKwHj2ub4NXRUVJgACRpmqnM8ffr-2Onp5g3BMv2w5tn49kuQ@mail.gmail.com> <9bab9050-eb6b-45e5-ab08-9b982d8746dc@googlegroups.com> <5036B43B.8040703@gmail.com> <bb08c71a-5910-47ff-a3e3-40b1b72563cd@googlegroups.com> <CAMKwHj296H1kb=HUBwDBStU-MrSEtdZyEKZLjn3JMveSJvdz4A@mail.gmail.com>
In-Reply-To: <CAMKwHj296H1kb=HUBwDBStU-MrSEtdZyEKZLjn3JMveSJvdz4A@mail.gmail.com>
X-Y-GMX-Trusted: 0
X-Original-Sender: seladwa@gmx.de
X-Original-Authentication-Results: gmr-mx.google.com; spf=pass (google.com:
 domain of seladwa@gmx.de designates 213.165.64.23 as permitted sender) smtp.mail=seladwa@gmx.de
Reply-To: lojban@googlegroups.com
Precedence: list
Mailing-list: list lojban@googlegroups.com; contact lojban+owners@googlegroups.com
List-ID: <lojban.googlegroups.com>
X-Google-Group-Id: 1004133512417
List-Post: <http://groups.google.com/group/lojban/post?hl=en_US>, <mailto:lojban@googlegroups.com>
List-Help: <http://groups.google.com/support/?hl=en_US>, <mailto:lojban+help@googlegroups.com>
List-Archive: <http://groups.google.com/group/lojban?hl=en_US>
Sender: lojban@googlegroups.com
List-Subscribe: <http://groups.google.com/group/lojban/subscribe?hl=en_US>, <mailto:lojban+subscribe@googlegroups.com>
List-Unsubscribe: <http://groups.google.com/group/lojban/subscribe?hl=en_US>, <mailto:googlegroups-manage+1004133512417+unsubscribe@googlegroups.com>
Content-Type: multipart/mixed;
 boundary="------------000703050606020404010508"
X-Spam-Score: -0.7 (/)
X-Spam_score: -0.7
X-Spam_score_int: -6
X-Spam_bar: /

This is a multi-part message in MIME format.
--------------000703050606020404010508
Content-Type: multipart/alternative;
 boundary="------------090406050907020304040104"

--------------090406050907020304040104
Content-Type: text/plain; charset=ISO-8859-1; format=flowed

I argue that no new gismu are needed and that {carna} can be used as is.

I wrote a description of how I use carna, with a picture as an attachment.
I hope it explains my point of view (no pun intended) well enough.
Open the picture before reading this or it will be impossible to follow.

The vector ML stands orthogonally on the plane defined by the points on 
circle c. Both MA and MB are on this plane.
A body (object) is placed on the plane such that ML is its axis of 
rotation.
The vector ML has an orientation/face, which serves as the viewpoint 
from which the direction of the rotation is determined. It always faces 
point A, the starting point of any rotation.
To indicate the direction of rotation, another point on the circle must 
be chosen and the shortest way to it is the direction, here this point 
would be B. The starting orientation, that is, the original point A that 
is chosen, is not significant. The direction only depends on the 
polarity of the axis vector ML.
All the above can be visualised by either a human hand or by imagining 
yourself being the axis vector, your head being at point L  with your 
body facing the imaginary line AL'.
The second point B is either to the left or to the right of  point A and 
it is this point B that determines whether the body rotates clockwise or 
counter-clockwise. Because we can refer to this point B by using 
relative terms like "left" and "right", we don't have to know where this 
point lies in order to know whether or not we're moving clockwise.
Thus, since all we need to define the direction is an axis ML, which has 
an inherent orientation as mentioned above, and a point B *relative* to 
our starting orientation towards AL', {carna}, which has both these as 
x2 and x3 respectively is plenty to express clockwise and 
counter-clockwise motion. carna2 will not need to be specified for 
bodies that overlap almost completely with the axis ML, like for 
instance a standing human being, and for objects like a disk that's 
lying flat on the plane, we only need to choose the polarity of vector ML.
It is arguable whether or not a sumti like {mi} can count as an axis, if 
not, then you can say {lo mi se carna} or similar.
How to specify the point of view when two people are standing on 
opposite sides of a screen? Unless the screen has a very obvious 
inherent orientation, the frame of reference can be specified by use of 
{ma'i}:
ko gasnu lo nu lo tivni cu carna fi lo pritu ma'i do
"Make it so that the screen turns clockwise from your point of view."
Note that lo pritu here refers to what is to the right of point A on the 
circle, not what's to the right of the listener, even though, if point A 
were chosen to be the topmost point of the screen, then they would be 
identical. This will often intuitively be the case, and could even be 
made a convention (which it already is in math).
Finally, we can in good conscience use {pritycarna} and {zulcarna} for 
"clockwise" and "counter-clockwise" respectively.
{carna} is usable for both rotation and turning, which are the same 
thing. The number of rotations can be specified otherwise, but it 
doesn't change the relation at hand, which is why we need no new word 
and can use {carna} for both.

mu'o mi'e la selpa'i

-- 
pilno zo le xu .i lo dei bangu cu se cmene zo lojbo .e nai zo lejbo

-- 
You received this message because you are subscribed to the Google Groups "lojban" group.
To post to this group, send email to lojban@googlegroups.com.
To unsubscribe from this group, send email to lojban+unsubscribe@googlegroups.com.
For more options, visit this group at http://groups.google.com/group/lojban?hl=en.


--------------090406050907020304040104
Content-Type: text/html; charset=ISO-8859-1

<html>
  <head>
    <meta content="text/html; charset=ISO-8859-1"
      http-equiv="Content-Type">
  </head>
  <body bgcolor="#FFFFFF" text="#000000">
    <tt>I argue that no new gismu are needed and that {carna} can be
      used as is. <br>
      <br>
      I wrote a description of how I use carna, with a picture as an
      attachment. <br>
      I hope it explains my point of view (no pun intended) well enough.
      <br>
      Open the picture before reading this or it will be impossible to
      follow.
      <br>
      <br>
      The vector ML stands orthogonally on the plane defined by the
      points on circle c. Both MA and MB are on this plane.
    </tt>
    <tt><br>
      A body (object) is placed on the plane such that ML is its axis of
      rotation.
      <br>
      The vector ML has an orientation/face, which serves as the
      viewpoint from which the direction of the rotation is determined.
      It always faces point A, the starting point of any rotation.
      <br>
      To indicate the direction of rotation, another point on the circle
      must be chosen and the shortest way to it is the direction, here
      this point would be B. The starting orientation, that is, the
      original point A that is chosen, is not significant. The direction
      only depends on the polarity of the axis vector ML.
      <br>
      All the above can be visualised by either a human hand or by
      imagining yourself being the axis vector, your head being at point
      L&nbsp; with your body facing the imaginary line AL'.
      <br>
      The second point B is either to the left or to the right of&nbsp; point
      A and it is this point B that determines whether the body rotates
      clockwise or counter-clockwise. Because we can refer to this point
      B by using relative terms like "left" and "right", we don't have
      to know where this point lies in order to know whether or not
      we're moving clockwise.
      <br>
      Thus, since all we need to define the direction is an axis ML,
      which has an inherent orientation as mentioned above, and a point
      B <b class="moz-txt-star"><span class="moz-txt-tag">*</span>relative<span
          class="moz-txt-tag">*</span></b> to our starting orientation
      towards AL', {carna}, which has both these as x2 and x3
      respectively is plenty to express clockwise and counter-clockwise
      motion. carna2 will not need to be specified for bodies that
      overlap almost completely with the axis ML, like for instance a
      standing human being, and for objects like a disk that's lying
      flat on the plane, we only need to choose the polarity of vector
      ML.
      <br>
      It is arguable whether or not a sumti like {mi} can count as an
      axis, if not, then you can say {lo mi se carna} or similar.
      <br>
      How to specify the point of view when two people are standing on
      opposite sides of a screen? Unless the screen has a very obvious
      inherent orientation, the frame of reference can be specified by
      use of {ma'i}:
      <br>
      ko gasnu lo nu lo tivni cu carna fi lo pritu ma'i do
      <br>
      "Make it so that the screen turns clockwise from your point of
      view."
      <br>
      Note that lo pritu here refers to what is to the right of point A
      on the circle, not what's to the right of the listener, even
      though, if point A were chosen to be the topmost point of the
      screen, then they would be identical. This will often intuitively
      be the case, and could even be made a convention (which it already
      is in math).
      <br>
      Finally, we can in good conscience use {pritycarna} and {zulcarna}
      for "clockwise" and "counter-clockwise" respectively.
      <br>
      {carna} is usable for both rotation and turning, which are the
      same thing. The number of rotations can be specified otherwise,
      but it doesn't change the relation at hand, which is why we need
      no new word and can use {carna} for both.
      <br>
      <br>
      mu'o mi'e la selpa'i<br>
    </tt>
    <pre class="moz-signature" cols="72"><tt>-- 
pilno zo le xu .i lo dei bangu cu se cmene zo lojbo .e nai zo lejbo</tt></pre>
  </body>
</html>

<p></p>

-- <br />
You received this message because you are subscribed to the Google Groups "lojban" group.<br />
To post to this group, send email to lojban@googlegroups.com.<br />
To unsubscribe from this group, send email to lojban+unsubscribe@googlegroups.com.<br />

For more options, visit this group at http://groups.google.com/group/lojban?hl=en.<br />



--------------090406050907020304040104--
--------------000703050606020404010508
Content-Type: image/jpeg;
 name="carna.jpg"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
 filename="carna.jpg"
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--------------000703050606020404010508--