Triangle wavefunction - position uncertainty and probability amplitude

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Homework Help Overview

The discussion revolves around a wavefunction that is piecewise defined, with participants exploring the normalization constant, expectation values, and probability density. The original poster seeks clarification on the normalization process and the correct expression for the probability density to further calculate the expectation values.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • The original poster has attempted to find the normalization constant and has encountered differing results, prompting questions about the correctness of their approaches. Participants discuss the implications of piecewise functions on the probability density and integration.

Discussion Status

Participants are actively engaging with the original poster's questions, providing insights into the nature of piecewise functions and their integration. There is a focus on clarifying the correct formulation of the probability density and the expectation value calculations, with no explicit consensus reached yet.

Contextual Notes

The original poster mentions needing a single expression for the probability density to proceed with calculations, indicating potential constraints in their current understanding or formulation of the wavefunction.

Dixanadu
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Homework Statement


Hey guys. Basically I have a wavefunction that looks like this
http://imageshack.com/a/img843/3691/22r3.jpg

I have to find:
(a) The normalization constant N, of course by normalizing it
(b) Find <x> and <x^2> and use this to find Δx.

Homework Equations


I'm just gona insert images, as I'm writing it all with my tablet:
http://imageshack.com/a/img33/5705/czbs.jpg


The Attempt at a Solution


Okay, so I've found the normalization constant, N, but I've got 2 different answers depending on the way in which I solve the problem, and I want to know which is correct (and why, if possible). Please view the image below:
http://imageshack.com/a/img11/7232/0hmb.jpg

So...which is correct? :S

I need to know the explicit expression for the probability density to proceed further.

Thanks a lot guys!
 
Last edited by a moderator:
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The square of a function that is defined in parts, is still a function defined in parts, eg.
From
[itex]f(x) = \left\{\begin{array}(g(x); x<0 \\ h(x); x\geq0\end{array}\right.[/itex]
It follows that
[itex](f(x))^2 = \left\{\begin{array}((g(x))^2 &; x<0 \\ (h(x))^2&; x\geq0\end{array}\right.[/itex],
that is to say
[itex](f(x))^2 \neq (g(x))^2 + (h(x))^2[/itex]

This is a notational problem: your [itex]|\Psi|^2[/itex] is incorrect, although you do manage to integrate it correctly in parts. Your first approach is correct as it is the integral of the square that you want to have as 1 (probability of the particle being anywhere is 1).
 
Great, thanks a lot dude! But my next question is this - how do i go about finding <x> ? i mean I need a single expression for psi mod squared, right?
 
I'm not exactly sure what you mean by a single expression. Could you elaborate?

There should be no problem integrating over functions that are piece-wise defined.
For example if
f(x) = 1 for x < 0 and f(x) = 2 for x > 0, the integral [itex]\int_{-1}^1f(x)dx = \int_{-1}^0 1 dx + \int_0^1 2 dx = 1 + 2 = 3[/itex].

Start by writing out the function [itex]\Psi^* x \Psi[/itex]. It will be a piece-wise defined function. Then proceed to integrate it, and you will get <x> by definition.
 

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