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Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$, except for two absorbing states accept and reject, which have self-loops with probability $1$. Also, there is a single ...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

Setting I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges, each with probability $\frac{1}{2}$ (both of which can go to the same vertex), except for two absorbing states accept and reject, which only have a ...

This is a supplement to the answer by @Mikero, for anyone else having the same doubts as me. We repeat in parallel and take the majority. In this case, we can reduce the error in the completeness condition by using the Chernoff bound, as for an honest prover who acts oblivious to interactions co...

The book Arora and Barak defines class $IP$ (interactive protocol) by making the verifier have private coins. The book establishes the completeness and soundness conditions as follows for some language $L \in IP$: Completness: $x\in L$ then there exists a prover $P$ which makes the verifier $V$ ...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...

I have a finite Markov chain $M$ where the underlying directed graph is a DAG (directed acyclic graph). Every vertex has two outgoing edges each with probability $\frac{1}{2}$, except for two absorbing states accept and reject which have self loops with probability $1$. Also, there is a single ve...