/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 29 Hermite's equation is \(y^{\prim... [FREE SOLUTION] | 91影视

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Hermite's equation is \(y^{\prime \prime}-2 t y^{\prime}+2 \mu y=0\). By Theorem \(8.1\), this equation has a power series solution of the form \(y(t)=\sum_{n=0}^{\infty} a_{n} t^{n}\) that is guaranteed to be absolutely convergent in the interval \(-\infty

Short Answer

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Question: Determine the recurrence relation for the coefficients of the power series, argue that when 渭 = N is a nonnegative integer, Hermite's equation has a polynomial solution, show that the Hermite polynomials H鈧(t) = 1 and H鈧(t) = 2t satisfy Hermite's equation for 渭 = 0 and 渭 = 1, respectively, and find the next four Hermite polynomials. Answer: The recurrence relation for the coefficients is given by a_{n+2} = [2(n+1)a_{n+1} - 2渭a鈧橾 / [(n+2)(n+1)]. When 渭 = N is a nonnegative integer, Hermite's equation has a polynomial solution H_N(t). The Hermite polynomials H鈧(t) = 1 and H鈧(t) = 2t satisfy Hermite's equation for their respective values of 渭. The next four Hermite polynomials are H鈧(t) = 4t虏 - (2/3)t鲁, H鈧(t) = 8t鲁 - 2t鈦 + (18/10)t鈦, H鈧(t) = 16t鈦 + (14/15)t鈦, and H鈧(t) = 32t鈦 + (2/3)t鈦 + (10/21)t鈦.

Step by step solution

01

(a) Finding the recurrence relation

To find the recurrence relation for the coefficients, we'll substitute the power series solution y(t) = 鈭戔倷鈧屸個 a鈧檛鈦 into Hermite's equation. Hermite's equation is y'' - 2ty' + 2渭y = 0. Take the derivatives: y'(t) = 鈭戔倷鈧屸個 na鈧檛^{n-1} y''(t) = 鈭戔倷鈧屸個 n(n-1)a鈧檛^{n-2} Now plug these into Hermite's equation: 鈭戔倷鈧屸個 n(n-1)a鈧檛^{n-2} - 2t 鈭戔倷鈧屸個 na鈧檛^{n-1} + 2渭鈭戔倷鈧屸個 a鈧檛鈦 = 0 Change the indices to match the powers of t: 鈭戔倷鈧屸倐 n(n-1)a鈧檛^{n-2} - 2鈭戔倷鈧屸倎 na鈧檛^{n} + 2渭鈭戔倷鈧屸個 a鈧檛鈦 = 0 Now we combine the series under the same summation: 鈭戔倷鈧屸個 [(n+2)(n+1)a_{n+2} - 2(n+1)a_{n+1} + 2渭a鈧橾t鈦 = 0 For the series to be equal to zero, the coefficients of the powers of t must be equal to zero, so we have: (n+2)(n+1)a_{n+2} - 2(n+1)a_{n+1} + 2渭a鈧 = 0 Rearrange the equation to find the recurrence relation: a_{n+2} = [2(n+1)a_{n+1} - 2渭a鈧橾 / [(n+2)(n+1)]
02

(b) Polynomial solution when 渭 = N

When 渭 = N, where N is a nonnegative integer, we can observe that since a_{N+2} depends on a鈧, there will be a point where a鈧 becomes zero. This will cause all future coefficients in the series to be zero as well. Since no more terms are contributed after a certain term, this means the series converges to a polynomial of degree N. Thus, we can conclude that Hermite's equation will have a polynomial solution H_N(t) when 渭 = N is a nonnegative integer.
03

(c) Verifying H鈧(t) and H鈧(t) Hermite polynomials

Verify that H鈧(t) = 1 and H鈧(t) = 2t satisfy Hermite's equation for 渭 = 0 and 渭 = 1 respectively by direct substitution. For H鈧(t) = 1, we have: y'' = 0, y' = 0 (Substitute into Hermite's equation): 0 - 2t(0) + 2(0)(1) = 0, which is true. For H鈧(t) = 2t, we have: y'' = 0, y' = 2 (Substitute into Hermite's equation): 0 - 2t(2) + 2(1)(2t) = 0, which is true. Thus, H鈧(t) and H鈧(t) do satisfy Hermite's equation for their respective values of 渭.
04

(d) Finding the next four Hermite polynomials

Use the recurrence relation and the requirement that H鈧(t) = 2鈦縯鈦 + ... to determine H鈧(t), H鈧(t), H鈧(t) and H鈧(t). From the solution of part (a): a_{n+2} = [2(n+1)a_{n+1} - 2渭a鈧橾 / [(n+2)(n+1)] Start with H鈧(t): 渭 = 2 a鈧 = (2(1)a鈧 - 2(2)a鈧) / (2(3)) = (4 - 4) / 6 = 0 a鈧 = (2(2)a鈧 - 2(2)a鈧) / (3(4)) = (-4) / 12 = -1/3 So, H鈧(t) = 2鈦铰测伨t虏 - (1/3)(2)t鲁 = 4t虏 - (2/3)t鲁 Now find H鈧(t): 渭 = 3 a鈧 = 0 (same as before) a鈧 = (6 - 2(3)a鈧) / (3(4)) = (6 - 12) / 12 = -1/2 a鈧 = (12 - 2(3)(-1/2)) / (4(5)) = (12 + 6) / 20 = 9/10 So, H鈧(t) = 2鲁t鲁 - (1/2)(2)t鈦 + (9/10)(2)t鈦 = 8t鲁 - 2t鈦 + (18/10)t鈦 Continue similarly for H鈧(t): 渭 = 4 a鈧 = -1/2 (same as before) a鈧 = (4 - 4) / (20) = 0 a鈧 = (10 - 2(4)(-1/2)) / (5(6)) = (10 + 4) / 30 = 7/15 So, H鈧(t) = 2鈦磘鈦 + (7/15)(2)t鈦 = 16t鈦 + (14/15)t鈦 Finally, find H鈧(t): 渭 = 5 a鈧 = 0 (same as before) a鈧 = (5 - 2(5)(-1/2)) / (6(5)) = (5 + 5) / 30 = 1/3 a鈧 = (20 - 2(5)) / (6(7)) = (20 - 10) / 42 = 5/21 So, H鈧(t) = 2鈦祎鈦 + (1/3)(2)t鈦 + (5/21)(2)t鈦 = 32t鈦 + (2/3)t鈦 + (10/21)t鈦

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Power Series Solution
When we are dealing with differential equations, one common approach to find solutions is using power series. A power series is an infinite sum of terms in the form of constants multiplied by powers of the variable, such as:
  • \(y(t) = \sum_{n=0}^{\infty} a_n t^n\)
This approach is useful for equations where the solution cannot be expressed in standard mathematical functions.
The idea is to express the unknown function \(y(t)\) as a series and then determine the coefficients \(a_n\) that satisfy the differential equation.
For Hermite's equation, this method allows us to find a solution that is convergent over the entire real line (\(-\inftyIt's like piecing together an infinite puzzle, where each piece (coefficient) must be determined with care.
Recurrence Relation
A recurrence relation is essential in the process of finding coefficients for a power series solution of a differential equation.
  • In the context of Hermite's Equation: \((n+2)(n+1)a_{n+2} - 2(n+1)a_{n+1} + 2\mu a_n = 0\)
This mathematical expression enables us to express each coefficient \(a_{n+2}\) in terms of previous coefficients like \(a_{n+1}\) and \(a_{n}\).
By rearranging the relation, we set up a sequence of operations that step from one coefficient to the next.
The recurrence relation provides a systematic method for calculating all the coefficients in the series, leading us step-by-step towards viability in solving Hermite's equation through a power series.
This is like a recipe in cooking; once you understand the steps, you can replicate it for any case where similar rules apply.
Polynomial Solutions
For certain values of \(\mu\), particularly when \(\mu = N\) and \(N\) is a nonnegative integer, an interesting phenomenon occurs.
  • The power series solution for Hermite's equation becomes a finite polynomial, not just an infinite series.
This happens because, due to the structure of the recurrence relation, after a certain point, all coefficients become zero.
This cut-off results in a finite number of terms, leading to a polynomial solution, specifically the Hermite polynomials.
These polynomial solutions are significant in various fields like quantum mechanics and statistics where they describe physical phenomena or are used in approximations.
Hermite Polynomials
Hermite polynomials, denoted as \(H_n(t)\), are solutions to Hermite's equation for \(\mu = N\).
  • They are a sequence of orthogonal polynomials used extensively in physics and mathematics.
The first few Hermite polynomials are fairly simple:
  • \(H_0(t) = 1\)
  • \(H_1(t) = 2t\)
These polynomials have useful properties, such as recursion relations and specific symmetry.
Understanding and leveraging these properties is crucial for applications in solving complex differential equations and systems.
The recurrence relation from earlier helps in generating these polynomials one after another, allowing us, for example, to determine higher-order Hermite polynomials like \(H_2(t), H_3(t)\) and beyond, each with its unique contribution to the series expansion.

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Most popular questions from this chapter

In each exercise, use the stated information to determine the unspecified coefficients in the given differential equation. \(t=0\) is a regular singular point. The roots of the indicial equation at \(t=0\) are \(\lambda_{1}=1\) and \(\lambda_{2}=2\). \(t=0\) is a regular singular point. The roots of the indicial equation at \(t=0\) are \(\lambda_{1}=1+2 i\) and \(\lambda_{2}=1-2 i\). \(t=0\) is a regular singular point. One root of the indicial equation at \(t=0\) is \(\lambda=2\). The recurrence relation for the series solution corresponding to this root is \(\left(n^{2}+n\right) a_{n}-4 a_{n-1}=0, n=1,2, \ldots .\) The recurrence relation for a series solution is \(n^{2} a_{n}-(n-1) a_{n-1}+3 a_{n-2}=0, n=2,3, \ldots .\) $$ t y^{\prime \prime}+(1+\alpha t) y^{\prime}+\beta t y=0 $$

By shifting the index of summation as in equation \((9)\) or \((13)\), rewrite the given power series so that the general term involves \(t^{n}\). $$ \sum_{n=1}^{\infty} n a_{n} t^{n-1} $$

In each exercise, an initial value problem is given. Assume that the initial value problem has a solution of the form \(y(t)=\sum_{n=0}^{\infty} a_{n} t^{n}\), where the series has a positive radius of convergence. Determine the first six coefficients, \(a_{0}, a_{1}, a_{2}, a_{3}, a_{4}, a_{5}\). Note that \(y(0)=a_{0}\) and that \(y^{\prime}(0)=a_{1}\). Thus, the initial conditions determine the arbitrary constants. In Exercises 40 and 41 , the exact solution is given in terms of exponential functions. Check your answer by comparing it with the Maclaurin series expansion of the exact solution. $$ y^{\prime \prime}-t y^{\prime}-y=0, \quad y(0)=1, \quad y^{\prime}(0)=-1 $$

In each exercise, \(t=t_{0}\) is an ordinary point of \(y^{\prime \prime}+p(t) y^{\prime}+q(t) y=0 .\) Apply Theorem \(8.1\) to determine a value \(R>0\) such that an initial value problem, with the initial conditions prescribed at \(t_{0}\), is guaranteed to have a unique solution that is analytic in the interval \(t_{0}-R

In each exercise, use the stated information to determine the unspecified coefficients in the given differential equation. \(t=0\) is a regular singular point. The roots of the indicial equation at \(t=0\) are \(\lambda_{1}=1\) and \(\lambda_{2}=2\). \(t=0\) is a regular singular point. The roots of the indicial equation at \(t=0\) are \(\lambda_{1}=1+2 i\) and \(\lambda_{2}=1-2 i\). \(t=0\) is a regular singular point. One root of the indicial equation at \(t=0\) is \(\lambda=2\). The recurrence relation for the series solution corresponding to this root is \(\left(n^{2}+n\right) a_{n}-4 a_{n-1}=0, n=1,2, \ldots .\) \(n^{2} a_{n}-(n-1) a_{n-1}+3 a_{n-2}=0, n=2,3, \ldots .\) $$ { }^{2} y^{\prime \prime}+t(\alpha+2 t) y^{\prime}+\left(\beta+t^{2}\right) y=0 $$

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