Differential Equations - Hermite Polynomials

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SUMMARY

The discussion focuses on solving differential equations related to Hermite polynomials, specifically the Schrödinger equation represented as (x^2 - ∂_x^2)V_n(x) = (2n+1)V_n(x) for n = 0, 1, 2. Participants emphasize the importance of understanding derivatives and operator notation, suggesting that the problems can be approached using basic calculus techniques rather than deep theoretical knowledge. Key insights include the use of the Binomial Theorem and the chain rule to simplify the equations and derive the required polynomials P_n.

PREREQUISITES
  • Understanding of differential calculus and derivatives
  • Familiarity with Hermite polynomials and their properties
  • Knowledge of operator notation in quantum mechanics
  • Basic grasp of the Schrödinger equation
NEXT STEPS
  • Study the properties and applications of Hermite polynomials in quantum mechanics
  • Learn about the Binomial Theorem and its applications in operator algebra
  • Explore the chain rule in calculus and its implications for differential equations
  • Investigate the role of differential operators in solving physical problems
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Students and researchers in physics and mathematics, particularly those focusing on quantum mechanics, differential equations, and polynomial solutions in theoretical contexts.

mathmannn
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Homework Statement


Here is the entire problem set, but (obviously) you don't have to do it all, if you could just give me a few hints on where to even start, because I am completely lost.

Recall that we found the solutions of the Schrödinger equations
(x^2 - \partial_x ^2) V_n(x) = (2n+1) V_n(x) \quad \quad n = 0,1,2

V_0 (x) = e^{\frac{x^2}{2}} \quad \quad V_n (x) = (x - \partial x)^n V_0(x)

1. Show that for each n there is a polynomial P_n such that V_n(x)=P_n(x)V_0(x)

2. Show that for any smooth function v(x)

(x - \partial_x) v(x) = -e^{\frac{x^2}{2}} \frac{d}{dx} \left ( e^{\frac{-x^2}{2}} v(x) \right )

Homework Equations


During class we went over the commutator of [B,C] and a lot its it's identities.

Also (x^2 + \partial_x ^2) V_n = (2n+1) V_n \rightarrow V_n := (A^*)V_0 \neq 0


The Attempt at a Solution


I have no idea where to even start on this. None of this is in the book and our professor said that each of the problems can be solved using a few "tricks" and then after that they aren't that hard.
 
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I think the problem set is really not that "deep" in the sense that you need to have a very good unserstanding of differential equations, Hermite Polynomials or anything else. You just need to know how to do derivatives. Take a good look at rules of differential calculus. Compute the first derivative of V0(x). What do you get? Compute the second derivative. Do you see a pattern? You just need to have a real good look at what you are doing. You could also start with exercise 2 since it's more general and then do exercise 1 after that, using the result of ex. 2.
 
You could start at 2:

(x-\partial x)^2 V_0(x)=\left(x^2-2x\partial x+\partial^2 x\right) V_0(x)

Keep in mind that powers of operators are higher-order operators and not operators raised to a power right.

How about 3? Then use the Binomial Theorem for n.

For (2), can't you just use the chain-rule and work through that and show that? Remember when you have expressions like:

(x+\partial x) f(x)

that means the operator (x+\partial x) operating on the function x. You know that right? Same dif with the first one raised to higher powers
 
Thank you all very much! I got it, I was just thinking too much into the problem!
 
jackmell said:
You could start at 2:

(x-\partial x)^2 V_0(x)=\left(x^2-2x\partial x+\partial^2 x\right) V_0(x)

Keep in mind that powers of operators are higher-order operators and not operators raised to a power right.

Think I'm wrong on that. Rathers it's the operator (x-\partial x) operating on the operator (x-\partial x) so:

(x-\partial x)^2=(x-\partial x)(x-\partial x)=x^2-x\partial x-\partial x (x)+\partial x \partial x

=x^2-x\partial x-1+\partial^2 x

and it's operating on the function f(x), not x as I stated above.

Still gives the polynomial though.
 
Last edited:

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