Necessary and sufficient conditions for $x'Ax = 0$












0












$begingroup$


I came across the following problem and I am having a hard time thinking about it.




Let $A$ be a $ktimes k$ real matrix. Notice that I do not require that $A$ is symmetric, positive definite or anything else. I would like to consider any real matrix $A$ of such dimensions.



Now, I am interested in necessary and sufficient conditions for $exists x neq 0$ such that $ x' A x = 0$, where $x in mathbb{R}^{k}$.




Is this a known result? Any ideas?










share|cite|improve this question









$endgroup$

















    0












    $begingroup$


    I came across the following problem and I am having a hard time thinking about it.




    Let $A$ be a $ktimes k$ real matrix. Notice that I do not require that $A$ is symmetric, positive definite or anything else. I would like to consider any real matrix $A$ of such dimensions.



    Now, I am interested in necessary and sufficient conditions for $exists x neq 0$ such that $ x' A x = 0$, where $x in mathbb{R}^{k}$.




    Is this a known result? Any ideas?










    share|cite|improve this question









    $endgroup$















      0












      0








      0





      $begingroup$


      I came across the following problem and I am having a hard time thinking about it.




      Let $A$ be a $ktimes k$ real matrix. Notice that I do not require that $A$ is symmetric, positive definite or anything else. I would like to consider any real matrix $A$ of such dimensions.



      Now, I am interested in necessary and sufficient conditions for $exists x neq 0$ such that $ x' A x = 0$, where $x in mathbb{R}^{k}$.




      Is this a known result? Any ideas?










      share|cite|improve this question









      $endgroup$




      I came across the following problem and I am having a hard time thinking about it.




      Let $A$ be a $ktimes k$ real matrix. Notice that I do not require that $A$ is symmetric, positive definite or anything else. I would like to consider any real matrix $A$ of such dimensions.



      Now, I am interested in necessary and sufficient conditions for $exists x neq 0$ such that $ x' A x = 0$, where $x in mathbb{R}^{k}$.




      Is this a known result? Any ideas?







      linear-algebra matrices reference-request quadratic-forms






      share|cite|improve this question













      share|cite|improve this question











      share|cite|improve this question




      share|cite|improve this question










      asked Dec 8 '18 at 15:16









      Raul GuariniRaul Guarini

      460211




      460211






















          1 Answer
          1






          active

          oldest

          votes


















          0












          $begingroup$

          Note that$$x^TAx = sum_{i,j} A_{ij}x_i x_j = sum_{i,j} 0.5(A_{ij}+A_{ji}) x_i x_j = 0.5x^T(A+A^T)x.$$
          The second equality is due to each product $x_ix_j$ occuring twice in the summation when $ineq j$. So the question is whether the symmetric matrix $A+A^T$ is positive definite.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            If it's not positive definite, then we can apply some sort of continuity argument and find such $x$, right?
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:13










          • $begingroup$
            @RaulGuarini no continuity argument is needed, any eigenvector $x$ belonging to a nonpositive eigenvalue of $A+A^T$ will have $x^TAx leq 0$.
            $endgroup$
            – LinAlg
            Dec 8 '18 at 16:14












          • $begingroup$
            True! Thanks a lot!
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:18











          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%2f3031221%2fnecessary-and-sufficient-conditions-for-xax-0%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









          0












          $begingroup$

          Note that$$x^TAx = sum_{i,j} A_{ij}x_i x_j = sum_{i,j} 0.5(A_{ij}+A_{ji}) x_i x_j = 0.5x^T(A+A^T)x.$$
          The second equality is due to each product $x_ix_j$ occuring twice in the summation when $ineq j$. So the question is whether the symmetric matrix $A+A^T$ is positive definite.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            If it's not positive definite, then we can apply some sort of continuity argument and find such $x$, right?
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:13










          • $begingroup$
            @RaulGuarini no continuity argument is needed, any eigenvector $x$ belonging to a nonpositive eigenvalue of $A+A^T$ will have $x^TAx leq 0$.
            $endgroup$
            – LinAlg
            Dec 8 '18 at 16:14












          • $begingroup$
            True! Thanks a lot!
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:18
















          0












          $begingroup$

          Note that$$x^TAx = sum_{i,j} A_{ij}x_i x_j = sum_{i,j} 0.5(A_{ij}+A_{ji}) x_i x_j = 0.5x^T(A+A^T)x.$$
          The second equality is due to each product $x_ix_j$ occuring twice in the summation when $ineq j$. So the question is whether the symmetric matrix $A+A^T$ is positive definite.






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            If it's not positive definite, then we can apply some sort of continuity argument and find such $x$, right?
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:13










          • $begingroup$
            @RaulGuarini no continuity argument is needed, any eigenvector $x$ belonging to a nonpositive eigenvalue of $A+A^T$ will have $x^TAx leq 0$.
            $endgroup$
            – LinAlg
            Dec 8 '18 at 16:14












          • $begingroup$
            True! Thanks a lot!
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:18














          0












          0








          0





          $begingroup$

          Note that$$x^TAx = sum_{i,j} A_{ij}x_i x_j = sum_{i,j} 0.5(A_{ij}+A_{ji}) x_i x_j = 0.5x^T(A+A^T)x.$$
          The second equality is due to each product $x_ix_j$ occuring twice in the summation when $ineq j$. So the question is whether the symmetric matrix $A+A^T$ is positive definite.






          share|cite|improve this answer









          $endgroup$



          Note that$$x^TAx = sum_{i,j} A_{ij}x_i x_j = sum_{i,j} 0.5(A_{ij}+A_{ji}) x_i x_j = 0.5x^T(A+A^T)x.$$
          The second equality is due to each product $x_ix_j$ occuring twice in the summation when $ineq j$. So the question is whether the symmetric matrix $A+A^T$ is positive definite.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Dec 8 '18 at 16:04









          LinAlgLinAlg

          9,2711521




          9,2711521












          • $begingroup$
            If it's not positive definite, then we can apply some sort of continuity argument and find such $x$, right?
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:13










          • $begingroup$
            @RaulGuarini no continuity argument is needed, any eigenvector $x$ belonging to a nonpositive eigenvalue of $A+A^T$ will have $x^TAx leq 0$.
            $endgroup$
            – LinAlg
            Dec 8 '18 at 16:14












          • $begingroup$
            True! Thanks a lot!
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:18


















          • $begingroup$
            If it's not positive definite, then we can apply some sort of continuity argument and find such $x$, right?
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:13










          • $begingroup$
            @RaulGuarini no continuity argument is needed, any eigenvector $x$ belonging to a nonpositive eigenvalue of $A+A^T$ will have $x^TAx leq 0$.
            $endgroup$
            – LinAlg
            Dec 8 '18 at 16:14












          • $begingroup$
            True! Thanks a lot!
            $endgroup$
            – Raul Guarini
            Dec 8 '18 at 16:18
















          $begingroup$
          If it's not positive definite, then we can apply some sort of continuity argument and find such $x$, right?
          $endgroup$
          – Raul Guarini
          Dec 8 '18 at 16:13




          $begingroup$
          If it's not positive definite, then we can apply some sort of continuity argument and find such $x$, right?
          $endgroup$
          – Raul Guarini
          Dec 8 '18 at 16:13












          $begingroup$
          @RaulGuarini no continuity argument is needed, any eigenvector $x$ belonging to a nonpositive eigenvalue of $A+A^T$ will have $x^TAx leq 0$.
          $endgroup$
          – LinAlg
          Dec 8 '18 at 16:14






          $begingroup$
          @RaulGuarini no continuity argument is needed, any eigenvector $x$ belonging to a nonpositive eigenvalue of $A+A^T$ will have $x^TAx leq 0$.
          $endgroup$
          – LinAlg
          Dec 8 '18 at 16:14














          $begingroup$
          True! Thanks a lot!
          $endgroup$
          – Raul Guarini
          Dec 8 '18 at 16:18




          $begingroup$
          True! Thanks a lot!
          $endgroup$
          – Raul Guarini
          Dec 8 '18 at 16:18


















          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%2f3031221%2fnecessary-and-sufficient-conditions-for-xax-0%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

          Quarter-circle Tiles

          build a pushdown automaton that recognizes the reverse language of a given pushdown automaton?

          Mont Emei