VulcaBlack's Inhomogeneous Linear Recurrence Q&A

In summary, we have solved the given recurrence relation by guessing a closed form solution, proving it by induction, and using two other techniques - symbolic differencing and undetermined coefficients.
  • #1
MarkFL
Gold Member
MHB
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Here is the question:

Given the following recurrence relation, guess a closed-form solution:?

Given the following recurrence relation, guess a closed-form solution:
relation: P(n) = { 0 if n = 0
3*P(n-1) + 3n if n>0}

2. prove by induction

please help

I have posted a link there to this topic so the OP can see my work.
 
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  • #2
Hello VulcaBlack,

We are given the following inhomogeneous linear recurrence:

\(\displaystyle P_{n}=3P_{n-1}+3n\) where \(\displaystyle P_0=0\)

If we are to "guess" a solution, we may look at the first several terms:

\(\displaystyle P_0=0=\frac{3^{0+2}-6\cdot0-9}{4}\)

\(\displaystyle P_1=3\cdot0+3\cdot1=3=\frac{3^{1+2}-6\cdot1-9}{4}\)

\(\displaystyle P_2=3\cdot3+3\cdot2=15=\frac{3^{2+2}-6\cdot2-9}{4}\)

\(\displaystyle P_3=3\cdot15+3\cdot3=54=\frac{3^{3+2}-6\cdot3-9}{4}\)

Thus, we may hypothesize that:

\(\displaystyle P_{n}=\frac{3^{n+2}-6n-9}{4}\)

We have already demonstrated the base case, and a few successive cases to be true, so let's now state the induction hypothesis $P_k$:

\(\displaystyle P_{k}=\frac{3^{k+2}-6k-9}{4}\)

Now, the recurrence relation tells us:

\(\displaystyle P_{k+1}=3P_{k}+3(k+1)\)

Using the induction hypothesis, this becomes:

\(\displaystyle P_{k+1}=3\left(\frac{3^{k+2}-6k-9}{4} \right)+3(k+1)\)

\(\displaystyle P_{k+1}=\frac{3^{k+3}-18k-27+12(k+1)}{4}\)

\(\displaystyle P_{k+1}=\frac{3^{(k+1)+2}-6(k+1)-9}{4}\)

We have derived $P_{k+1}$ from $P_{k}$ thereby completing the proof by induction.
 
  • #3
I wish to demonstrate also two techniques for deriving the solution which requires neither guessing, nor proof by induction.

One way to derive a solution is through a technique called symbolic differencing, in which we may transform the recurrence into a homogenous one, and use the characteristic roots to obtain the closed form, and then use the initial values to determine the parameters. Let's begin with the given recurrence:

(1) \(\displaystyle P_{n}=3P_{n-1}+3n\) where \(\displaystyle P_0=0\)

We may also write the recurrence as:

(2) \(\displaystyle P_{n+1}=3P_{n}+3(n+1)\)

Subtracting (1) from (2), we obtain:

(3) \(\displaystyle P_{n+1}=4P_{n}-3P_{n-1}+3\)

(4) \(\displaystyle P_{n+2}=4P_{n+1}-3P_{n}+3\)

Subtracting (3) from (4), we obtain:

\(\displaystyle P_{n+2}=5P_{n+1}-7P_{m}+3P_{n-1}\)

Now we have a homogeneous recurrence, whose associated characteristic equation is:

\(\displaystyle r^3-5r^2+7r-3=(r-3)(r-1)^2=0\)

Based on the roots and their multiplicities, we may give the closed form as:

\(\displaystyle P_n=k_1+k_2n+k_3\cdot3^n\)

Using the initial values, we may write:

\(\displaystyle P_0=k_1+k_3=0\)

\(\displaystyle P_1=k_1+k_2+3k_3=3\)

\(\displaystyle P_2=k_1+2k_2+9k_3=15\)

Solving this system, we find:

\(\displaystyle k_1=-\frac{9}{4},\,k_2=-\frac{3}{2},\,k_3=\frac{9}{4}\)

Hence, we have:

\(\displaystyle P_n=-\frac{9}{4}-\frac{3}{2}n+\frac{9}{4}\cdot3^n=\frac{3^{n+2}-6n-9}{4}\)

Another way to solve the recurrence is to use the method of undetermined coefficients. We first solve the associated homogeneous recurrence:

\(\displaystyle P_{n}-3P_{n-1}=0\)

which has the characteristic equation:

\(\displaystyle r-3=0\)

Thus, a general solution to the homogeneous equation is:

\(\displaystyle h_{n}=c_13^n\)

Now, since the inhomogeneous term in the original recurrence is \(\displaystyle 3n\), we seek a particular solution of the form:

\(\displaystyle p_{n}=An+B\)

where the parameters $A$ and $B$ are to be determined. Substituting this expression for $P_n$ into the original recurrence, we obtain:

\(\displaystyle (An+B)-3(A(n-1)+B)=3n\)

\(\displaystyle An+B-3(An-A+B)=3n\)

\(\displaystyle An+B-3An+3A-3B=3n\)

\(\displaystyle -2An+(3A-2B)=3n+0\)

Equating coefficients, we find:

\(\displaystyle -2A=3\,\therefore\,A=-\frac{3}{2}\)

\(\displaystyle 3A-2B=0\,\therefore\,B=-\frac{9}{4}\)

And so we have:

\(\displaystyle p_{n}=-\frac{3}{2}n-\frac{9}{4}\)

Now, by the principle of superposition, we have:

\(\displaystyle P_n=h_n+p_n=c_13^n-\frac{3}{2}n-\frac{9}{4}\)

Now we may determine the parameter $c_1$ from the given initial value:

\(\displaystyle P_0=c_1-\frac{9}{4}=0\,\therefore\,c_1=\frac{9}{4}\)

And we now have the solution satisfying the recurrence as:

\(\displaystyle P_n=\frac{9}{4}3^n-\frac{3}{2}n-\frac{9}{4}=\frac{3^{n+2}-6n-9}{4}\)
 

1. What is VulcaBlack's Inhomogeneous Linear Recurrence Q&A?

VulcaBlack's Inhomogeneous Linear Recurrence Q&A is a mathematical model used to solve complex problems related to inhomogeneous linear recurrence equations. It is named after its creator, VulcaBlack, who developed the model in the early 21st century.

2. How does VulcaBlack's Inhomogeneous Linear Recurrence Q&A work?

VulcaBlack's Inhomogeneous Linear Recurrence Q&A works by breaking down a complex problem into smaller, more manageable parts. It then uses a series of equations and algorithms to solve each part and combine the solutions to find the overall solution.

3. What are the applications of VulcaBlack's Inhomogeneous Linear Recurrence Q&A?

VulcaBlack's Inhomogeneous Linear Recurrence Q&A has a wide range of applications in various fields, including mathematics, physics, engineering, and computer science. It is commonly used to solve problems related to growth and decay, population dynamics, finance, and signal processing.

4. What are the advantages of using VulcaBlack's Inhomogeneous Linear Recurrence Q&A?

One of the main advantages of VulcaBlack's Inhomogeneous Linear Recurrence Q&A is its ability to solve complex problems with high accuracy and efficiency. It also allows for the analysis of various scenarios and the prediction of future trends based on the given data.

5. Are there any limitations to VulcaBlack's Inhomogeneous Linear Recurrence Q&A?

While VulcaBlack's Inhomogeneous Linear Recurrence Q&A is a powerful tool, it does have some limitations. It may not be suitable for all types of problems, and it requires a certain level of mathematical knowledge to use effectively. Additionally, it relies heavily on the quality and accuracy of the data input.

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