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 <question type="category"><category><text>4t ESO/4.04 EQUACIONS/4.04.2 Equació 2n grau/4.04.2.5 Aplicacions E2G</text></category></question>
 
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    <name>
      <text>4.04.2.5.20 MRUA</text>
    </name>
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      <text><![CDATA[<p> </p>
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<td style="background-color: #000066; background-image: none; color: #ffcc00; text-align: center; vertical-align: top; border-style: none;" valign="top" width="NaNpx"><span style="color: #ffff99; font-size: large;" data-mce-mark="1">    MRUA</span></td>
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" /></p>
</td>
</tr>
<tr>
<td valign="top" width="NaNpx">
<p><strong><span style="color: #000080; font-size: small;">En aquest moviment la trajectòria és una recta i l'acceleració és constant.</span></strong><br /><br /><strong><span style="color: #000080; font-size: small;">Les equacions d'aquest moviment són (si el temps a l'inici és 0):</span></strong><br /><br /><span style="font-size: medium;"><strong><span style="color: #000080;">v = at +  v<sub>o</sub>       i      </span></strong></span>«math xmlns=¨http://www.w3.org/1998/Math/MathML¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»=«/mo»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»§#160;«/mo»«mfrac mathcolor=¨#00007F¨»«mn mathvariant=¨bold¨»1«/mn»«mn mathvariant=¨bold¨»2«/mn»«/mfrac»«msup mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»at«/mi»«mn mathvariant=¨bold¨»2«/mn»«/msup»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«msub mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»v«/mi»«mn mathvariant=¨bold¨»0«/mn»«/msub»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»t«/mi»«mo mathvariant=¨bold¨ mathcolor=¨#00007F¨»+«/mo»«msub mathcolor=¨#00007F¨»«mi mathvariant=¨bold¨ mathcolor=¨#00007F¨»x«/mi»«mn mathvariant=¨bold¨»0«/mn»«/msub»«/math»<br /><br /><strong><span style="color: #000080; font-size: small;">Unitats: v i v<sub>0</sub> (velocitat) en m/s, a (acceleració) en m/s<sup>2</sup>, t (temps)  en segons, x (desplaçament)  i x<sub>0</sub> (desplaçament a l'instant t = 0) en m</span></strong></p>
</td>
</tr>
</tbody>
</table>
</div>
<p><span style="font-family: Arial, Helvetica, sans-serif; font-size: 13.3333330154419px; line-height: normal;" data-mce-mark="1"> </span></p>]]></text>
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