Rudin Functional analysis, theorem 4.12 corollary (b)Theorem 1.24 Rudin, Functional analysis (first half)Theorem 1.14 (b) Rudin functional analysis, few clarifications.Rudin functional analysis theorem 2.5.Rudin functional analysis, theorem 2.11 (Open mapping theorem)Rudin functional analysis, theorem 3.23. Finite intersection propertyRudin Functional Analysis Theorem 3.25Rudin functional analysis, theorem 3.27Rudin functional analysis theorem 3.28, application of Reisz representation theorem.Rudin functional analysis, theorem 4.9 part (b)Rudin functional analysis theorem 4.13, (a) and (b)

Does the statement `int val = (++i > ++j) ? ++i : ++j;` invoke undefined behavior?

Why doesn't the EU now just force the UK to choose between referendum and no-deal?

Why are the outputs of printf and std::cout different

Employee lack of ownership

Why must traveling waves have the same amplitude to form a standing wave?

Can anyone tell me why this program fails?

Using "wallow" verb with object

Welcoming 2019 Pi day: How to draw the letter π?

Co-worker team leader wants to inject his friend's awful software into our development. What should I say to our common boss?

Theorems like the Lovász Local Lemma?

How to explain that I do not want to visit a country due to personal safety concern?

I need to drive a 7/16" nut but am unsure how to use the socket I bought for my screwdriver

Informing my boss about remarks from a nasty colleague

Dot in front of file

The use of "touch" and "touch on" in context

What is the greatest age difference between a married couple in Tanach?

How to write cleanly even if my character uses expletive language?

Sword in the Stone story where the sword was held in place by electromagnets

Is a lawful good "antagonist" effective?

What options are left, if Britain cannot decide?

How could a scammer know the apps on my phone / iTunes account?

Does this property of comaximal ideals always holds?

When do we add an hyphen (-) to a complex adjective word?

Making a sword in the stone, in a medieval world without magic



Rudin Functional analysis, theorem 4.12 corollary (b)


Theorem 1.24 Rudin, Functional analysis (first half)Theorem 1.14 (b) Rudin functional analysis, few clarifications.Rudin functional analysis theorem 2.5.Rudin functional analysis, theorem 2.11 (Open mapping theorem)Rudin functional analysis, theorem 3.23. Finite intersection propertyRudin Functional Analysis Theorem 3.25Rudin functional analysis, theorem 3.27Rudin functional analysis theorem 3.28, application of Reisz representation theorem.Rudin functional analysis, theorem 4.9 part (b)Rudin functional analysis theorem 4.13, (a) and (b)













0












$begingroup$



Suppose $X$ and $Y$ are Banach spaces, and $T in mathcalB(X,Y)$ Then
$$
mathcalN(T^*) = mathcalR(T)^perp ;;textand;; mathcalN(T) = ^perpmathcalR(T^*)
$$




The corollary in the title




b) $mathcalR(T)$ is dense in $Y$ iff $T^*$ is one-to-one




The proof is really short but there's a specific bit I don't get (fully at least)




$mathcalR(T)$ is dense in $Y$ iff $mathcalR(T)^perp = left 0right$




I've tried to prove this bit by exercise, and I think the most promosing was to show that



$$
^perp(mathcalR(T)^perp) = Y iff mathcalR(T) = left0right
$$



The reason of the equality on the left of the double implication is because of theorem 4.7, which states that the orthogonal of the orthogonal of a set is the norm closure of a set.



However I'm not entirely sure how to exploit this, can you help?










share|cite|improve this question











$endgroup$
















    0












    $begingroup$



    Suppose $X$ and $Y$ are Banach spaces, and $T in mathcalB(X,Y)$ Then
    $$
    mathcalN(T^*) = mathcalR(T)^perp ;;textand;; mathcalN(T) = ^perpmathcalR(T^*)
    $$




    The corollary in the title




    b) $mathcalR(T)$ is dense in $Y$ iff $T^*$ is one-to-one




    The proof is really short but there's a specific bit I don't get (fully at least)




    $mathcalR(T)$ is dense in $Y$ iff $mathcalR(T)^perp = left 0right$




    I've tried to prove this bit by exercise, and I think the most promosing was to show that



    $$
    ^perp(mathcalR(T)^perp) = Y iff mathcalR(T) = left0right
    $$



    The reason of the equality on the left of the double implication is because of theorem 4.7, which states that the orthogonal of the orthogonal of a set is the norm closure of a set.



    However I'm not entirely sure how to exploit this, can you help?










    share|cite|improve this question











    $endgroup$














      0












      0








      0





      $begingroup$



      Suppose $X$ and $Y$ are Banach spaces, and $T in mathcalB(X,Y)$ Then
      $$
      mathcalN(T^*) = mathcalR(T)^perp ;;textand;; mathcalN(T) = ^perpmathcalR(T^*)
      $$




      The corollary in the title




      b) $mathcalR(T)$ is dense in $Y$ iff $T^*$ is one-to-one




      The proof is really short but there's a specific bit I don't get (fully at least)




      $mathcalR(T)$ is dense in $Y$ iff $mathcalR(T)^perp = left 0right$




      I've tried to prove this bit by exercise, and I think the most promosing was to show that



      $$
      ^perp(mathcalR(T)^perp) = Y iff mathcalR(T) = left0right
      $$



      The reason of the equality on the left of the double implication is because of theorem 4.7, which states that the orthogonal of the orthogonal of a set is the norm closure of a set.



      However I'm not entirely sure how to exploit this, can you help?










      share|cite|improve this question











      $endgroup$





      Suppose $X$ and $Y$ are Banach spaces, and $T in mathcalB(X,Y)$ Then
      $$
      mathcalN(T^*) = mathcalR(T)^perp ;;textand;; mathcalN(T) = ^perpmathcalR(T^*)
      $$




      The corollary in the title




      b) $mathcalR(T)$ is dense in $Y$ iff $T^*$ is one-to-one




      The proof is really short but there's a specific bit I don't get (fully at least)




      $mathcalR(T)$ is dense in $Y$ iff $mathcalR(T)^perp = left 0right$




      I've tried to prove this bit by exercise, and I think the most promosing was to show that



      $$
      ^perp(mathcalR(T)^perp) = Y iff mathcalR(T) = left0right
      $$



      The reason of the equality on the left of the double implication is because of theorem 4.7, which states that the orthogonal of the orthogonal of a set is the norm closure of a set.



      However I'm not entirely sure how to exploit this, can you help?







      functional-analysis proof-explanation normed-spaces topological-vector-spaces duality-theorems






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited Mar 11 at 11:51







      user8469759

















      asked Mar 11 at 10:24









      user8469759user8469759

      1,5561618




      1,5561618




















          1 Answer
          1






          active

          oldest

          votes


















          0












          $begingroup$

          Here is another approach:



          Suppose $R(T)$ is dense. Any linear functional that vanishes on $R(T)$ must vanish on the entire space by continuity considerations. That is, $R(T)^perp$ consists only of the zero functional.



          Conversely suppose $R(T)$ is not dense. Then $overlineR(T)$ is a proper closed subspace of $Y$ and there exists (per e.g. Hahn-Banach) a nontrivial linear function $phi$ that vanishes on $overlineR(T)$, meaning $R(T)^perp not= 0$.






          share|cite|improve this answer









          $endgroup$












            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%2f3143526%2frudin-functional-analysis-theorem-4-12-corollary-b%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












            $begingroup$

            Here is another approach:



            Suppose $R(T)$ is dense. Any linear functional that vanishes on $R(T)$ must vanish on the entire space by continuity considerations. That is, $R(T)^perp$ consists only of the zero functional.



            Conversely suppose $R(T)$ is not dense. Then $overlineR(T)$ is a proper closed subspace of $Y$ and there exists (per e.g. Hahn-Banach) a nontrivial linear function $phi$ that vanishes on $overlineR(T)$, meaning $R(T)^perp not= 0$.






            share|cite|improve this answer









            $endgroup$

















              0












              $begingroup$

              Here is another approach:



              Suppose $R(T)$ is dense. Any linear functional that vanishes on $R(T)$ must vanish on the entire space by continuity considerations. That is, $R(T)^perp$ consists only of the zero functional.



              Conversely suppose $R(T)$ is not dense. Then $overlineR(T)$ is a proper closed subspace of $Y$ and there exists (per e.g. Hahn-Banach) a nontrivial linear function $phi$ that vanishes on $overlineR(T)$, meaning $R(T)^perp not= 0$.






              share|cite|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                Here is another approach:



                Suppose $R(T)$ is dense. Any linear functional that vanishes on $R(T)$ must vanish on the entire space by continuity considerations. That is, $R(T)^perp$ consists only of the zero functional.



                Conversely suppose $R(T)$ is not dense. Then $overlineR(T)$ is a proper closed subspace of $Y$ and there exists (per e.g. Hahn-Banach) a nontrivial linear function $phi$ that vanishes on $overlineR(T)$, meaning $R(T)^perp not= 0$.






                share|cite|improve this answer









                $endgroup$



                Here is another approach:



                Suppose $R(T)$ is dense. Any linear functional that vanishes on $R(T)$ must vanish on the entire space by continuity considerations. That is, $R(T)^perp$ consists only of the zero functional.



                Conversely suppose $R(T)$ is not dense. Then $overlineR(T)$ is a proper closed subspace of $Y$ and there exists (per e.g. Hahn-Banach) a nontrivial linear function $phi$ that vanishes on $overlineR(T)$, meaning $R(T)^perp not= 0$.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Mar 11 at 11:31









                Umberto P.Umberto P.

                39.9k13267




                39.9k13267



























                    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%2f3143526%2frudin-functional-analysis-theorem-4-12-corollary-b%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

                    Lowndes Grove History Architecture References Navigation menu32°48′6″N 79°57′58″W / 32.80167°N 79.96611°W / 32.80167; -79.9661132°48′6″N 79°57′58″W / 32.80167°N 79.96611°W / 32.80167; -79.9661178002500"National Register Information System"Historic houses of South Carolina"Lowndes Grove""+32° 48' 6.00", −79° 57' 58.00""Lowndes Grove, Charleston County (260 St. Margaret St., Charleston)""Lowndes Grove"The Charleston ExpositionIt Happened in South Carolina"Lowndes Grove (House), Saint Margaret Street & Sixth Avenue, Charleston, Charleston County, SC(Photographs)"Plantations of the Carolina Low Countrye

                    random experiment with two different functions on unit interval Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)Random variable and probability space notionsRandom Walk with EdgesFinding functions where the increase over a random interval is Poisson distributedNumber of days until dayCan an observed event in fact be of zero probability?Unit random processmodels of coins and uniform distributionHow to get the number of successes given $n$ trials , probability $P$ and a random variable $X$Absorbing Markov chain in a computer. Is “almost every” turned into always convergence in computer executions?Stopped random walk is not uniformly integrable

                    How should I support this large drywall patch? Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern) Announcing the arrival of Valued Associate #679: Cesar Manara Unicorn Meta Zoo #1: Why another podcast?How do I cover large gaps in drywall?How do I keep drywall around a patch from crumbling?Can I glue a second layer of drywall?How to patch long strip on drywall?Large drywall patch: how to avoid bulging seams?Drywall Mesh Patch vs. Bulge? To remove or not to remove?How to fix this drywall job?Prep drywall before backsplashWhat's the best way to fix this horrible drywall patch job?Drywall patching using 3M Patch Plus Primer