Freeness for operator valued random variables The Next CEO of Stack OverflowInteger-valued random variables must converge in distribution to a integer-valued random variable?Criterion for independency of random variablesKolmogorov continuity theorem for Banach space valued random processesWhat is a real-valued random variable?The limit of integer valued random variables must be integer valued?Two random variables from the same probability density function: how can they be different?Independence of two non-negative integer valued random variablesIs a collection of random variables always a random vector?When are Hilbert space valued random variables independent?Defining a “dependence structure” for random variables

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Freeness for operator valued random variables



The Next CEO of Stack OverflowInteger-valued random variables must converge in distribution to a integer-valued random variable?Criterion for independency of random variablesKolmogorov continuity theorem for Banach space valued random processesWhat is a real-valued random variable?The limit of integer valued random variables must be integer valued?Two random variables from the same probability density function: how can they be different?Independence of two non-negative integer valued random variablesIs a collection of random variables always a random vector?When are Hilbert space valued random variables independent?Defining a “dependence structure” for random variables










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Threre is a definition of freeness of random variables clasically. For operator valued random variables is there any analogue of free ness depending on the base space?










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    $begingroup$


    Threre is a definition of freeness of random variables clasically. For operator valued random variables is there any analogue of free ness depending on the base space?










    share|cite|improve this question











    $endgroup$














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      1





      $begingroup$


      Threre is a definition of freeness of random variables clasically. For operator valued random variables is there any analogue of free ness depending on the base space?










      share|cite|improve this question











      $endgroup$




      Threre is a definition of freeness of random variables clasically. For operator valued random variables is there any analogue of free ness depending on the base space?







      probability-theory operator-algebras






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      edited Mar 28 at 9:32







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      mathlovermathlover

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          $begingroup$

          The analogue is known as freeness with amalgamation.



          The definition is made in the same way: given an expectation $E: M rightarrow A$, we say that ($*$-)subalgebras $M_1, ..., M_n$ are ($*$-)free with amalgamation over $A$ if $E(X_i_1...X_i_m) = 0$ whenever $E(X_i_j) = 0$, $X_i_j in M_i_j$, and $i_j neq i_j+1$ for all $j$. We say that a family $X_1, ... X_n$ of $A$-valued random variables are free with amalgamation over $A$ if the $*$-algebras they generate with $A$ are free with amalgamation over $A$. Freeness for classical random variables is then just freeness with amalgamation over $mathbbC$.



          You can check out Free Random Variables by Voiculescu, Dykema, and Nica for more, but there are other good references depending on what you're looking for. Speicher has a book called Combinatorial Theory of the Free Product with Amalgamation and Operator-Valued Free Probability Theory that covers the combinatorics in a lot of detail.






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            $begingroup$

            The analogue is known as freeness with amalgamation.



            The definition is made in the same way: given an expectation $E: M rightarrow A$, we say that ($*$-)subalgebras $M_1, ..., M_n$ are ($*$-)free with amalgamation over $A$ if $E(X_i_1...X_i_m) = 0$ whenever $E(X_i_j) = 0$, $X_i_j in M_i_j$, and $i_j neq i_j+1$ for all $j$. We say that a family $X_1, ... X_n$ of $A$-valued random variables are free with amalgamation over $A$ if the $*$-algebras they generate with $A$ are free with amalgamation over $A$. Freeness for classical random variables is then just freeness with amalgamation over $mathbbC$.



            You can check out Free Random Variables by Voiculescu, Dykema, and Nica for more, but there are other good references depending on what you're looking for. Speicher has a book called Combinatorial Theory of the Free Product with Amalgamation and Operator-Valued Free Probability Theory that covers the combinatorics in a lot of detail.






            share|cite|improve this answer









            $endgroup$

















              0












              $begingroup$

              The analogue is known as freeness with amalgamation.



              The definition is made in the same way: given an expectation $E: M rightarrow A$, we say that ($*$-)subalgebras $M_1, ..., M_n$ are ($*$-)free with amalgamation over $A$ if $E(X_i_1...X_i_m) = 0$ whenever $E(X_i_j) = 0$, $X_i_j in M_i_j$, and $i_j neq i_j+1$ for all $j$. We say that a family $X_1, ... X_n$ of $A$-valued random variables are free with amalgamation over $A$ if the $*$-algebras they generate with $A$ are free with amalgamation over $A$. Freeness for classical random variables is then just freeness with amalgamation over $mathbbC$.



              You can check out Free Random Variables by Voiculescu, Dykema, and Nica for more, but there are other good references depending on what you're looking for. Speicher has a book called Combinatorial Theory of the Free Product with Amalgamation and Operator-Valued Free Probability Theory that covers the combinatorics in a lot of detail.






              share|cite|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                The analogue is known as freeness with amalgamation.



                The definition is made in the same way: given an expectation $E: M rightarrow A$, we say that ($*$-)subalgebras $M_1, ..., M_n$ are ($*$-)free with amalgamation over $A$ if $E(X_i_1...X_i_m) = 0$ whenever $E(X_i_j) = 0$, $X_i_j in M_i_j$, and $i_j neq i_j+1$ for all $j$. We say that a family $X_1, ... X_n$ of $A$-valued random variables are free with amalgamation over $A$ if the $*$-algebras they generate with $A$ are free with amalgamation over $A$. Freeness for classical random variables is then just freeness with amalgamation over $mathbbC$.



                You can check out Free Random Variables by Voiculescu, Dykema, and Nica for more, but there are other good references depending on what you're looking for. Speicher has a book called Combinatorial Theory of the Free Product with Amalgamation and Operator-Valued Free Probability Theory that covers the combinatorics in a lot of detail.






                share|cite|improve this answer









                $endgroup$



                The analogue is known as freeness with amalgamation.



                The definition is made in the same way: given an expectation $E: M rightarrow A$, we say that ($*$-)subalgebras $M_1, ..., M_n$ are ($*$-)free with amalgamation over $A$ if $E(X_i_1...X_i_m) = 0$ whenever $E(X_i_j) = 0$, $X_i_j in M_i_j$, and $i_j neq i_j+1$ for all $j$. We say that a family $X_1, ... X_n$ of $A$-valued random variables are free with amalgamation over $A$ if the $*$-algebras they generate with $A$ are free with amalgamation over $A$. Freeness for classical random variables is then just freeness with amalgamation over $mathbbC$.



                You can check out Free Random Variables by Voiculescu, Dykema, and Nica for more, but there are other good references depending on what you're looking for. Speicher has a book called Combinatorial Theory of the Free Product with Amalgamation and Operator-Valued Free Probability Theory that covers the combinatorics in a lot of detail.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered 4 hours ago









                Josh KenedaJosh Keneda

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