Why does this expression simplify as such?General linear hypothesis test statistic: equivalence of two expressionsSlope Derivation for the variance of a least square problem via Matrix notationCovariance of OLS estimator and residual = 0. Where is the mistake?A doubt on SUR modelWhy trace of $I−X(X′X)^-1X′$ is $n-p$ in least square regression when the parameter vector $beta$ is of p dimensions?Getting the posterior for Bayesian linear regression with a flat priorDistribution of coefficients in linear regressionFitted values and residuals: are they random vectors?Proving that Covariance of residuals and errors is zeroWhat is the relationship of long and short regression when we have an intercept?

Why Shazam when there is already Superman?

Microchip documentation does not label CAN buss pins on micro controller pinout diagram

It grows, but water kills it

What is the highest possible scrabble score for placing a single tile

Does an advisor owe his/her student anything? Will an advisor keep a PhD student only out of pity?

awk assign to multiple variables at once

Biological Blimps: Propulsion

Is there a nicer/politer/more positive alternative for "negates"?

Is there a way to have vectors outlined in a Vector Plot?

How to draw a matrix with arrows in limited space

What does "Scientists rise up against statistical significance" mean? (Comment in Nature)

Pre-mixing cryogenic fuels and using only one fuel tank

How to get directions in deep space?

How does electrical safety system work on ISS?

Does "he squandered his car on drink" sound natural?

Why does this expression simplify as such?

Stack Interview Code methods made from class Node and Smart Pointers

Is there a RAID 0 Equivalent for RAM?

Why should universal income be universal?

Why does Carol not get rid of the Kree symbol on her suit when she changes its colours?

Shouldn’t conservatives embrace universal basic income?

Has any country ever had 2 former presidents in jail simultaneously?

Giving feedback to someone without sounding prejudiced

Why is so much work done on numerical verification of the Riemann Hypothesis?



Why does this expression simplify as such?


General linear hypothesis test statistic: equivalence of two expressionsSlope Derivation for the variance of a least square problem via Matrix notationCovariance of OLS estimator and residual = 0. Where is the mistake?A doubt on SUR modelWhy trace of $I−X(X′X)^-1X′$ is $n-p$ in least square regression when the parameter vector $beta$ is of p dimensions?Getting the posterior for Bayesian linear regression with a flat priorDistribution of coefficients in linear regressionFitted values and residuals: are they random vectors?Proving that Covariance of residuals and errors is zeroWhat is the relationship of long and short regression when we have an intercept?













3












$begingroup$


I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



$$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.










share|cite|improve this question











$endgroup$
















    3












    $begingroup$


    I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



    $$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



    In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.










    share|cite|improve this question











    $endgroup$














      3












      3








      3





      $begingroup$


      I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



      $$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



      In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.










      share|cite|improve this question











      $endgroup$




      I'm reading through my professor's lecture notes on the multiple linear regression model and at one point he writes the following:



      $$E[(b-beta)e']=E[(X'X)^-1epsilonepsilon'M_[X]]. $$



      In the above equation, $b$, $beta$, $e$, and $epsilon$ are all vectors, $X$ is a regressor matrix and $M$ is the residual maker matrix. In general, I have no idea why these expressions are equivalent, and I'm particularly confused at how the $e$ vector disappears and the $epsilon$ vector appears.







      regression multiple-regression linear-model residuals






      share|cite|improve this question















      share|cite|improve this question













      share|cite|improve this question




      share|cite|improve this question








      edited 4 hours ago









      Benjamin Christoffersen

      1,264519




      1,264519










      asked 5 hours ago









      DavidDavid

      24311




      24311




















          2 Answers
          2






          active

          oldest

          votes


















          3












          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            3 hours ago


















          3












          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$








          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            3 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            3 hours ago










          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: "65"
          ;
          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: false,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: null,
          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
          ,
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          );



          );













          draft saved

          draft discarded


















          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstats.stackexchange.com%2fquestions%2f398797%2fwhy-does-this-expression-simplify-as-such%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown

























          2 Answers
          2






          active

          oldest

          votes








          2 Answers
          2






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3












          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            3 hours ago















          3












          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$












          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            3 hours ago













          3












          3








          3





          $begingroup$

          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$






          share|cite|improve this answer









          $endgroup$



          I am assuming $b$ is the OLS estimate of $beta$ and $e$ is the corresponding estimate of $epsilon$. Also I believe you have a typo above in your expression, as there should be $X'$ in front of $epsilon epsilon'$ and behind $(X'X)^-1$.



          Start with the definition of $b$:
          $$b=(X'X)^-1X'Y.$$
          Replacing $Y$ with $Xbeta+epsilon$ in our expression above, we get
          $$b=(X'X)^-1X'(Xbeta+epsilon)=beta+(X'X)^-1X'epsilon.$$
          It follows that
          $$b-beta = (X'X)^-1X'epsilon$$



          Now turn to the defintion of $e$:
          $$e=Y-hatY=Y-Xb=Y-X(X'X)^-1X'Y.$$



          Notice $X(X'X)^-1X'$ is the projection matrix for $X$, which we will denote with $P_[X]$.
          Replacing this in our expression for $e,$ we get
          $$e=(I-P_[X])Y=M_[X]Y.$$
          Replacing $Y$ in the expression above with $Xbeta+epsilon$, we get
          $$e=M_[X](Xbeta+epsilon)=M_[X]epsilon,$$
          since $M_[X]X$ is a matrix of zeros.



          Post-multiplying $b-beta$ with $e'$, we get
          $$(b-beta)e'=(X'X)^-1X'epsilon epsilon' M_[X],$$
          since $e'=epsilon'M_[X].$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 3 hours ago









          dlnBdlnB

          81011




          81011











          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            3 hours ago
















          • $begingroup$
            Ah. The key thing I was missing was what you wrote in the last line.
            $endgroup$
            – David
            3 hours ago















          $begingroup$
          Ah. The key thing I was missing was what you wrote in the last line.
          $endgroup$
          – David
          3 hours ago




          $begingroup$
          Ah. The key thing I was missing was what you wrote in the last line.
          $endgroup$
          – David
          3 hours ago













          3












          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$








          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            3 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            3 hours ago















          3












          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$








          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            3 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            3 hours ago













          3












          3








          3





          $begingroup$

          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.






          share|cite|improve this answer









          $endgroup$



          Assuming that the coefficient estimator $b$ is calculated by OLS estimation, you have:



          $$beginequation beginaligned
          b-beta
          &= (X'X)^-1 X'y - beta \[6pt]
          &= (X'X)^-1 X'(X beta + epsilon)- beta \[6pt]
          &= (X'X)^-1 (X'X) beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= beta + (X'X)^-1 X' epsilon - beta \[6pt]
          &= (X'X)^-1 X' epsilon. \[6pt]
          endaligned endequation$$



          Presumably $e$ is the residual vector (different to the error vector $epsilon$) so we have $e = M_[X] Y = M_[X] epsilon$. Substituting this vector gives:



          $$beginequation beginaligned
          (b-beta) e'
          &= (X'X)^-1 X' epsilon (M_[X] epsilon)' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]' \[6pt]
          &= (X'X)^-1 X' epsilon epsilon' M_[X]. \[6pt]
          endaligned endequation$$



          (The last step follows from the fact that $M_[X]$ is a symmetric matrix.) So the expression given by your professor is missing the $X'$ term.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered 3 hours ago









          BenBen

          26.8k230124




          26.8k230124







          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            3 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            3 hours ago












          • 2




            $begingroup$
            Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
            $endgroup$
            – dlnB
            3 hours ago






          • 1




            $begingroup$
            @dlnb: Jinx! Buy me a coke!
            $endgroup$
            – Ben
            3 hours ago







          2




          2




          $begingroup$
          Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
          $endgroup$
          – dlnB
          3 hours ago




          $begingroup$
          Nice, I think we both must have been typing our answers at the same time. I'm glad you also found the mistake.
          $endgroup$
          – dlnB
          3 hours ago




          1




          1




          $begingroup$
          @dlnb: Jinx! Buy me a coke!
          $endgroup$
          – Ben
          3 hours ago




          $begingroup$
          @dlnb: Jinx! Buy me a coke!
          $endgroup$
          – Ben
          3 hours ago

















          draft saved

          draft discarded
















































          Thanks for contributing an answer to Cross Validated!


          • 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%2fstats.stackexchange.com%2fquestions%2f398797%2fwhy-does-this-expression-simplify-as-such%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

          How to create a command for the “strange m” symbol in latex? Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)How do you make your own symbol when Detexify fails?Writing bold small caps with mathpazo packageplus-minus symbol with parenthesis around the minus signGreek character in Beamer document titleHow to create dashed right arrow over symbol?Currency symbol: Turkish LiraDouble prec as a single symbol?Plus Sign Too Big; How to Call adfbullet?Is there a TeX macro for three-legged pi?How do I get my integral-like symbol to align like the integral?How to selectively substitute a letter with another symbol representing the same letterHow do I generate a less than symbol and vertical bar that are the same height?

          Българска екзархия Съдържание История | Български екзарси | Вижте също | Външни препратки | Литература | Бележки | НавигацияУстав за управлението на българската екзархия. Цариград, 1870Слово на Ловешкия митрополит Иларион при откриването на Българския народен събор в Цариград на 23. II. 1870 г.Българската правда и гръцката кривда. От С. М. (= Софийски Мелетий). Цариград, 1872Предстоятели на Българската екзархияПодмененият ВеликденИнформационна агенция „Фокус“Димитър Ризов. Българите в техните исторически, етнографически и политически граници (Атлас съдържащ 40 карти). Berlin, Königliche Hoflithographie, Hof-Buch- und -Steindruckerei Wilhelm Greve, 1917Report of the International Commission to Inquire into the Causes and Conduct of the Balkan Wars

          Category:Tremithousa Media in category "Tremithousa"Navigation menuUpload media34° 49′ 02.7″ N, 32° 26′ 37.32″ EOpenStreetMapGoogle EarthProximityramaReasonatorScholiaStatisticsWikiShootMe