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Simple Random Walk Property


Biased lower bounded random walkRandom Walk on the 1D Lattice With BarriersRandom Walk, Markov ProcessExpected distance of biased 1d random walk with 0 driftRandom walk with bounds and pauses in 1-dTransition Probabilities for Biased Reflected Random Walk1D random walk with viarable probabilityOn simple random walk with $mathbb{P}left(X=+1right)=p>frac{1}{2}$Martingales for a random walkProbability of reaching a maximum in a random walk













1












$begingroup$


Define $S_n = Sigma_{i=0}^n X_n$, where $X_n = pm1$ with probability $1/2$ for each case.



I am trying to show that for a walk of length $2n -2k$ starting at $0$, the probability that it does not hit $0$ at all (except its start point) is the same as the probability that it ends at $0$.



Formally, I am trying to show that
$$
P(S_1, S_2, ...S_{2n-2k}neq 0) = P(S_{2n-2k} = 0).
$$



I have a "hand-wavy" proof. Call the set of walks of length $2n-2k$ that do not revisit zero $G$, and the set of walks that end at zero $H$. We can form a bijection $G rightarrow H$ by taking a walk in $G$ and reflecting it across the horizontal line $y=S_{0.5(2n-2k)} = S_{n-k}$, since doing so will guarantee that such walk ends at $0$. Since such bijection exists, the probabilities that members of these sets occur must be equal.



First of all, is this logic correct, and secondly, is there a way to make this more formal?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    Proving that the function you describe really is a bijection is a good start!
    $endgroup$
    – Greg Martin
    Mar 11 at 22:22










  • $begingroup$
    Is $X_n = pm 1$ with probability $1/2$ each, or $0$ or $1$ with probability $1/2$ each?
    $endgroup$
    – Brian Tung
    Mar 11 at 22:23










  • $begingroup$
    It's the first. I've made the appropriate edit in the question.
    $endgroup$
    – lithium123
    Mar 12 at 1:55
















1












$begingroup$


Define $S_n = Sigma_{i=0}^n X_n$, where $X_n = pm1$ with probability $1/2$ for each case.



I am trying to show that for a walk of length $2n -2k$ starting at $0$, the probability that it does not hit $0$ at all (except its start point) is the same as the probability that it ends at $0$.



Formally, I am trying to show that
$$
P(S_1, S_2, ...S_{2n-2k}neq 0) = P(S_{2n-2k} = 0).
$$



I have a "hand-wavy" proof. Call the set of walks of length $2n-2k$ that do not revisit zero $G$, and the set of walks that end at zero $H$. We can form a bijection $G rightarrow H$ by taking a walk in $G$ and reflecting it across the horizontal line $y=S_{0.5(2n-2k)} = S_{n-k}$, since doing so will guarantee that such walk ends at $0$. Since such bijection exists, the probabilities that members of these sets occur must be equal.



First of all, is this logic correct, and secondly, is there a way to make this more formal?










share|cite|improve this question











$endgroup$








  • 1




    $begingroup$
    Proving that the function you describe really is a bijection is a good start!
    $endgroup$
    – Greg Martin
    Mar 11 at 22:22










  • $begingroup$
    Is $X_n = pm 1$ with probability $1/2$ each, or $0$ or $1$ with probability $1/2$ each?
    $endgroup$
    – Brian Tung
    Mar 11 at 22:23










  • $begingroup$
    It's the first. I've made the appropriate edit in the question.
    $endgroup$
    – lithium123
    Mar 12 at 1:55














1












1








1





$begingroup$


Define $S_n = Sigma_{i=0}^n X_n$, where $X_n = pm1$ with probability $1/2$ for each case.



I am trying to show that for a walk of length $2n -2k$ starting at $0$, the probability that it does not hit $0$ at all (except its start point) is the same as the probability that it ends at $0$.



Formally, I am trying to show that
$$
P(S_1, S_2, ...S_{2n-2k}neq 0) = P(S_{2n-2k} = 0).
$$



I have a "hand-wavy" proof. Call the set of walks of length $2n-2k$ that do not revisit zero $G$, and the set of walks that end at zero $H$. We can form a bijection $G rightarrow H$ by taking a walk in $G$ and reflecting it across the horizontal line $y=S_{0.5(2n-2k)} = S_{n-k}$, since doing so will guarantee that such walk ends at $0$. Since such bijection exists, the probabilities that members of these sets occur must be equal.



First of all, is this logic correct, and secondly, is there a way to make this more formal?










share|cite|improve this question











$endgroup$




Define $S_n = Sigma_{i=0}^n X_n$, where $X_n = pm1$ with probability $1/2$ for each case.



I am trying to show that for a walk of length $2n -2k$ starting at $0$, the probability that it does not hit $0$ at all (except its start point) is the same as the probability that it ends at $0$.



Formally, I am trying to show that
$$
P(S_1, S_2, ...S_{2n-2k}neq 0) = P(S_{2n-2k} = 0).
$$



I have a "hand-wavy" proof. Call the set of walks of length $2n-2k$ that do not revisit zero $G$, and the set of walks that end at zero $H$. We can form a bijection $G rightarrow H$ by taking a walk in $G$ and reflecting it across the horizontal line $y=S_{0.5(2n-2k)} = S_{n-k}$, since doing so will guarantee that such walk ends at $0$. Since such bijection exists, the probabilities that members of these sets occur must be equal.



First of all, is this logic correct, and secondly, is there a way to make this more formal?







probability proof-verification random-walk






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Mar 12 at 3:53







lithium123

















asked Mar 11 at 22:04









lithium123lithium123

637316




637316








  • 1




    $begingroup$
    Proving that the function you describe really is a bijection is a good start!
    $endgroup$
    – Greg Martin
    Mar 11 at 22:22










  • $begingroup$
    Is $X_n = pm 1$ with probability $1/2$ each, or $0$ or $1$ with probability $1/2$ each?
    $endgroup$
    – Brian Tung
    Mar 11 at 22:23










  • $begingroup$
    It's the first. I've made the appropriate edit in the question.
    $endgroup$
    – lithium123
    Mar 12 at 1:55














  • 1




    $begingroup$
    Proving that the function you describe really is a bijection is a good start!
    $endgroup$
    – Greg Martin
    Mar 11 at 22:22










  • $begingroup$
    Is $X_n = pm 1$ with probability $1/2$ each, or $0$ or $1$ with probability $1/2$ each?
    $endgroup$
    – Brian Tung
    Mar 11 at 22:23










  • $begingroup$
    It's the first. I've made the appropriate edit in the question.
    $endgroup$
    – lithium123
    Mar 12 at 1:55








1




1




$begingroup$
Proving that the function you describe really is a bijection is a good start!
$endgroup$
– Greg Martin
Mar 11 at 22:22




$begingroup$
Proving that the function you describe really is a bijection is a good start!
$endgroup$
– Greg Martin
Mar 11 at 22:22












$begingroup$
Is $X_n = pm 1$ with probability $1/2$ each, or $0$ or $1$ with probability $1/2$ each?
$endgroup$
– Brian Tung
Mar 11 at 22:23




$begingroup$
Is $X_n = pm 1$ with probability $1/2$ each, or $0$ or $1$ with probability $1/2$ each?
$endgroup$
– Brian Tung
Mar 11 at 22:23












$begingroup$
It's the first. I've made the appropriate edit in the question.
$endgroup$
– lithium123
Mar 12 at 1:55




$begingroup$
It's the first. I've made the appropriate edit in the question.
$endgroup$
– lithium123
Mar 12 at 1:55










0






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