Dimension of Vector Space From Constraints












1












$begingroup$


Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$



I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.










share|cite|improve this question











$endgroup$

















    1












    $begingroup$


    Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$



    I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.










    share|cite|improve this question











    $endgroup$















      1












      1








      1





      $begingroup$


      Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$



      I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.










      share|cite|improve this question











      $endgroup$




      Use the rank-nullity theorem to show that if $V =begin{bmatrix}a\b\c\dend{bmatrix}: x+y+z = 0, x+2y+3z =0$ that $dim($V$) = 2.$



      I verified that the dimension is 2 by finding a basis from the RREF of the system of constraints, but I'm not sure what role the rank-nullity theorem plays here.







      linear-algebra






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 4 '16 at 2:15









      GoodDeeds

      10.3k31435




      10.3k31435










      asked Mar 4 '16 at 2:11









      100001100001

      17511




      17511






















          1 Answer
          1






          active

          oldest

          votes


















          1












          $begingroup$

          Hint Your space is the Nullspace of
          $$A=begin{bmatrix} 1& 1 &1 & 0 \
          1 & 2 &3 &0 end{bmatrix}$$

          [the zeros correspond to the fourth variable which is missing from the equation].



          Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.



          What does the rank-nullity theorem say?






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
            $endgroup$
            – 100001
            Mar 4 '16 at 2:21






          • 1




            $begingroup$
            @MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 2:48










          • $begingroup$
            So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
            $endgroup$
            – 100001
            Mar 4 '16 at 2:55










          • $begingroup$
            $W$ is the Null space of the matrix ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 3:34










          • $begingroup$
            I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
            $endgroup$
            – 100001
            Mar 4 '16 at 3:41












          Your Answer





          StackExchange.ifUsing("editor", function () {
          return StackExchange.using("mathjaxEditing", function () {
          StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
          StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
          });
          });
          }, "mathjax-editing");

          StackExchange.ready(function() {
          var channelOptions = {
          tags: "".split(" "),
          id: "69"
          };
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function() {
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled) {
          StackExchange.using("snippets", function() {
          createEditor();
          });
          }
          else {
          createEditor();
          }
          });

          function createEditor() {
          StackExchange.prepareEditor({
          heartbeatType: 'answer',
          autoActivateHeartbeat: false,
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader: {
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          },
          noCode: true, onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          });


          }
          });














          draft saved

          draft discarded


















          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f1682365%2fdimension-of-vector-space-from-constraints%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown

























          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1












          $begingroup$

          Hint Your space is the Nullspace of
          $$A=begin{bmatrix} 1& 1 &1 & 0 \
          1 & 2 &3 &0 end{bmatrix}$$

          [the zeros correspond to the fourth variable which is missing from the equation].



          Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.



          What does the rank-nullity theorem say?






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
            $endgroup$
            – 100001
            Mar 4 '16 at 2:21






          • 1




            $begingroup$
            @MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 2:48










          • $begingroup$
            So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
            $endgroup$
            – 100001
            Mar 4 '16 at 2:55










          • $begingroup$
            $W$ is the Null space of the matrix ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 3:34










          • $begingroup$
            I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
            $endgroup$
            – 100001
            Mar 4 '16 at 3:41
















          1












          $begingroup$

          Hint Your space is the Nullspace of
          $$A=begin{bmatrix} 1& 1 &1 & 0 \
          1 & 2 &3 &0 end{bmatrix}$$

          [the zeros correspond to the fourth variable which is missing from the equation].



          Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.



          What does the rank-nullity theorem say?






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
            $endgroup$
            – 100001
            Mar 4 '16 at 2:21






          • 1




            $begingroup$
            @MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 2:48










          • $begingroup$
            So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
            $endgroup$
            – 100001
            Mar 4 '16 at 2:55










          • $begingroup$
            $W$ is the Null space of the matrix ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 3:34










          • $begingroup$
            I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
            $endgroup$
            – 100001
            Mar 4 '16 at 3:41














          1












          1








          1





          $begingroup$

          Hint Your space is the Nullspace of
          $$A=begin{bmatrix} 1& 1 &1 & 0 \
          1 & 2 &3 &0 end{bmatrix}$$

          [the zeros correspond to the fourth variable which is missing from the equation].



          Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.



          What does the rank-nullity theorem say?






          share|cite|improve this answer











          $endgroup$



          Hint Your space is the Nullspace of
          $$A=begin{bmatrix} 1& 1 &1 & 0 \
          1 & 2 &3 &0 end{bmatrix}$$

          [the zeros correspond to the fourth variable which is missing from the equation].



          Now the two rows of you matrix are not proportional, hence linearly independent. Thus $operatorname{rank}(A)=2$.



          What does the rank-nullity theorem say?







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Jan 30 at 17:49









          Martin Sleziak

          44.9k10122277




          44.9k10122277










          answered Mar 4 '16 at 2:16









          N. S.N. S.

          105k7114210




          105k7114210












          • $begingroup$
            So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
            $endgroup$
            – 100001
            Mar 4 '16 at 2:21






          • 1




            $begingroup$
            @MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 2:48










          • $begingroup$
            So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
            $endgroup$
            – 100001
            Mar 4 '16 at 2:55










          • $begingroup$
            $W$ is the Null space of the matrix ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 3:34










          • $begingroup$
            I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
            $endgroup$
            – 100001
            Mar 4 '16 at 3:41


















          • $begingroup$
            So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
            $endgroup$
            – 100001
            Mar 4 '16 at 2:21






          • 1




            $begingroup$
            @MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 2:48










          • $begingroup$
            So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
            $endgroup$
            – 100001
            Mar 4 '16 at 2:55










          • $begingroup$
            $W$ is the Null space of the matrix ;)
            $endgroup$
            – N. S.
            Mar 4 '16 at 3:34










          • $begingroup$
            I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
            $endgroup$
            – 100001
            Mar 4 '16 at 3:41
















          $begingroup$
          So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
          $endgroup$
          – 100001
          Mar 4 '16 at 2:21




          $begingroup$
          So null($A$) = 0 and rank($A$) = 2? I don't see why null($A$) has to be zero though.
          $endgroup$
          – 100001
          Mar 4 '16 at 2:21




          1




          1




          $begingroup$
          @MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
          $endgroup$
          – N. S.
          Mar 4 '16 at 2:48




          $begingroup$
          @MathLogic The rank-nullity theorem says that the rank plus the nullity is the number of COLUMNS of A ;)
          $endgroup$
          – N. S.
          Mar 4 '16 at 2:48












          $begingroup$
          So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
          $endgroup$
          – 100001
          Mar 4 '16 at 2:55




          $begingroup$
          So null($V$) = 2. But I still don't see how that shows that dim($V$) = 2?
          $endgroup$
          – 100001
          Mar 4 '16 at 2:55












          $begingroup$
          $W$ is the Null space of the matrix ;)
          $endgroup$
          – N. S.
          Mar 4 '16 at 3:34




          $begingroup$
          $W$ is the Null space of the matrix ;)
          $endgroup$
          – N. S.
          Mar 4 '16 at 3:34












          $begingroup$
          I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
          $endgroup$
          – 100001
          Mar 4 '16 at 3:41




          $begingroup$
          I'm sorry, I don't understand. Could you expound upon your explanations a bit more? I can't figure out what you are trying to get at.
          $endgroup$
          – 100001
          Mar 4 '16 at 3:41


















          draft saved

          draft discarded




















































          Thanks for contributing an answer to Mathematics Stack Exchange!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid



          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.


          Use MathJax to format equations. MathJax reference.


          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function () {
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fmath.stackexchange.com%2fquestions%2f1682365%2fdimension-of-vector-space-from-constraints%23new-answer', 'question_page');
          }
          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          Popular posts from this blog

          MongoDB - Not Authorized To Execute Command

          How to fix TextFormField cause rebuild widget in Flutter

          Npm cannot find a required file even through it is in the searched directory