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Sever21 [200]
2 years ago
10

Power series of y''+x^2y'-xy=0

Mathematics
1 answer:
Ray Of Light [21]2 years ago
7 0
Assuming we're looking for a power series solution centered around x=0, take

y=\displaystyle\sum_{n\ge0}a_nx^n
y'=\displaystyle\sum_{n\ge1}na_nx^{n-1}
y''=\displaystyle\sum_{n\ge2}n(n-1)a_nx^{n-2}

Substituting into the ODE yields

\displaystyle\sum_{n\ge2}n(n-1)a_nx^{n-2}+\sum_{n\ge1}na_nx^{n+1}-\sum_{n\ge0}a_nx^{n+1}=0

The first series starts with a constant term; the second series starts at x^2; the last starts at x^1. So, extract the first two terms from the first series, and the first term from the last series so that each new series starts with a x^2 term. We have

\displaystyle\sum_{n\ge2}n(n-1)a_nx^{n-2}=2a_2+6a_3x+\sum_{n\ge4}n(n-1)a_nx^{n-2}

\displaystyle\sum_{n\ge0}a_nx^{n+1}=a_0x+\sum_{n\ge1}a_nx^{n+1}

Re-index the first sum to have it start at n=1 (to match the the other two sums):

\displaystyle\sum_{n\ge4}n(n-1)a_nx^{n-2}=\sum_{n\ge1}(n+3)(n+2)a_{n+3}x^{n+1}

So now the ODE is

\displaystyle\left(2a_2+6a_3x+\sum_{n\ge1}(n+3)(n+2)a_{n+3}x^{n+1}\right)+\sum_{n\ge1}na_nx^{n+1}-\left(a_0x+\sum_{n\ge1}a_nx^{n+1}\right)=0

Consolidate into one series starting n=1:

\displaystyle2a_2+(6a_3-a_0)x+\sum_{n\ge1}\bigg[(n+3)(n+2)a_{n+3}+(n-1)a_n\bigg]x^{n+1}=0

Suppose we're given initial conditions y(0)=a_0 and y'(0)=a_1 (which follow from setting x=0 in the power series representations for y and y', respectively). From the above equation it follows that

\begin{cases}2a_2=0\\6a_3-a_0=0\\(n+3)(n+2)a_{n+3}+(n-1)a_n=0&\text{for }n\ge2\end{cases}

Let's first consider what happens when n=3k-2, i.e. n\in\{1,4,7,10,\ldots\}. The recurrence relation tells us that

a_4=-\dfrac{1-1}{(1+3)(1+2)}a_1=0\implies a_7=0\implies a_{10}=0

and so on, so that a_{3k-2}=0 except for when k=1.

Now let's consider n=3k-1, or n\in\{2,5,8,11,\ldots\}. We know that a_2=0, and from the recurrence it follows that a_{3k-1}=0 for all k.

Finally, take n=3k, or n\in\{0,3,6,9,\ldots\}. We have a solution for a_3 in terms of a_0, so the next few terms (k=2,3,4) according to the recurrence would be

a_6=-\dfrac2{6\cdot5}a_3=-\dfrac2{6\cdot5\cdot3\cdot2}a_0=-\dfrac{a_0}{6\cdot3\cdot5}
a_9=-\dfrac5{9\cdot8}a_6=\dfrac{a_0}{9\cdot6\cdot3\cdot8}
a_{12}=-\dfrac8{12\cdot11}a_9=-\dfrac{a_0}{12\cdot9\cdot6\cdot3\cdot11}

and so on. The reordering of the product in the denominator is intentionally done to make the pattern clearer. We can surmise the general pattern for n=3k as

a_{3k}=\dfrac{(-1)^{k+1}a_0}{(3k\cdot(3k-3)\cdot(3k-2)\cdot\cdots\cdot6\cdot3\cdot(3k-1)}
a_{3k}=\dfrac{(-1)^{k+1}a_0}{3^k(k\cdot(k-1)\cdot\cdots\cdot2\cdot1)\cdot(3k-1)}
a_{3k}=\dfrac{(-1)^{k+1}a_0}{3^kk!(3k-1)}

So the series solution to the ODE is given by

y=\displaystyle\sum_{n\ge0}a_nx^n
y=a_1x+\displaystyle\sum_{k\ge0}\frac{(-1)^{k+1}a_0}{3^kk!(3k-1)}

Attached is a plot of a numerical solution (blue) to the ODE with initial conditions sampled at a_0=y(0)=1 and a_1=y'(0)=2 overlaid with the series solution (orange) with n=3 and n=6. (Note the rapid convergence.)

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Step-by-step explanation:

What is the product of StartFraction 4 Over 5 EndFraction times two-fifths?

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StartFraction 4 Over 5 EndFraction = 4/5

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The correct option =

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A committee of 15 members is voting on a proposal. Each member casts a yea or nay vote. On a random voting basis, what is the pr
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Answer:

0.006% probability that the final vote count is unanimous.

Step-by-step explanation:

For each person, there are only two possible outcomes. Either they vote yes, or they vote no. The probability of a person voting yes or no is independent of any other person. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

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So 50% of voting yes, 50% no, so p = 0.5

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This means that n = 15

What is the probability that the final vote count is unanimous?

Either all vote no(P(X = 0)) or all vote yes(P(X = 15)). So

p = P(X = 0) + P(X = 15)

In which

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

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P(X = 15) = C_{15,15}.(0.5)^{15}.(0.5)^{0} = 0.00003

So

p = P(X = 0) + P(X = 15) = 0.00003 + 0.00003 = 0.00006

0.006% probability that the final vote count is unanimous.

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2 years ago
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