Understanding Brownian Motion with Weiner Integral and Delta Functions

AI Thread Summary
The discussion focuses on solving a Brownian motion problem using the Wiener Integral, specifically with a potential defined by delta functions at three points. The user seeks clarification on the notation used in their integral, including the meanings of x_t, \dot x, and \mathcal D. There is a request for assistance in understanding how to approach the integral given the specified potential. The conversation emphasizes the need for clear definitions to facilitate solving the problem effectively. Overall, the thread highlights the complexities involved in applying mathematical concepts to Brownian motion.
tpm
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HI, i would need some help to solve the Brownian motion given by the Weiner Integral(over paths):

\int \mathcal D [x_{t}]exp(-\int dt (m/2(\dot x)^{2}-V(x))

for the case V(x)=\delta (x) +\delta (x-1)+\delta (x-2)

any help would be appreciated, thanks
 
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What do you mean by that: "solve the Brownian motion" ?
 
tpm said:
HI, i would need some help to solve the Brownian motion given by the Weiner Integral(over paths):

\int \mathcal D [x_{t}]exp(-\int dt (m/2(\dot x)^{2}-V(x))

for the case V(x)=\delta (x) +\delta (x-1)+\delta (x-2)

any help would be appreciated, thanks
Can you please explain your notation? In particular, what is x_t, what is \dot x, and what is \mathcal D?
 
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