Linear Algebra Matrix Limits/Stochastic Process

In summary: ZywgQSBkaWFwZXIgbGluZXIgaXMgcGxhY2VkIGluIGVjaG8gZGlhcGVyIHdvcnJhbiBieSBhIGJhYnkgd29ybiBieSBhIGJhYnkgd29ybiBieSBhIGJhYnkgd29ybiBieSBhIGJhYnkgd29ybiB3aXRoIGEgYmFieSBsZW5lciB3b3JsZCBieSBhIGJhYnkgZG9vc3BhciBhbmQgcm
  • #1
lutheranian
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Homework Statement



A diaper liner is placed in each diaper worn by a baby. If, after a diaper change, the liner is soiled, then it is discarded and replaced by a new liner. Otherwise, the liner is washed with the diapers and reused, except that each liner is discarded and replaced after its third use (even if it has never been soiled). The probability that the baby will soil any diaper liner is one third. If there are only new diaper liners at first, eventually what proportions of the diaper liners being used will be new, once used, and twice used? Hint: Assume that a diaper liner ready for use is in one of the three states: new, once used, or twice used. After its use, it then transforms into one of the three states described

Homework Equations




If A is a transition matrix and v is the initial state vector and

lim Am = L as m -->[itex]\infty[/itex] then eventual state is Lv

The Attempt at a Solution



I set up the transition matrix with the first column/row corresponding to new liners, the second to once-used, and the third to twice-used, resulting in the following:

A= (1/3, 1/3, 1| 2/3, 0, 0 | 0, 2/3, 0)

The initial vector is v= (1, 0, 0)

I tried finding the limit of Am as m --> [itex]\infty[/itex] using wolframalpha (which is allowed because the homework problems have messy numbers) but the computation times out every time.
 
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  • #2
You can get the limiting state-probabilities by setting up and solving a linear system of 3 equations in 3 unknowns. Using the standard convention (with the ROWS summing to 1---not the columns, as you have chosen), the limiting (row) vector, u, satisfies u = u.A and sum u(j) = 1. Omit one of the three equations u(j) = sum_{k} u(k)*A(k,j), j=1,2,3, and replace it by the normalizing condition sum u = 1.

RGV
 
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1. What is a matrix in linear algebra?

A matrix in linear algebra is a rectangular array of numbers or symbols arranged in rows and columns. It is used to represent linear transformations and systems of linear equations.

2. What are the basic operations on matrices?

The basic operations on matrices include addition, subtraction, and multiplication. Addition and subtraction are performed by adding or subtracting corresponding elements in the matrices. Multiplication involves multiplying the entries of one matrix by the entries of another matrix in a specific way.

3. What is the determinant of a matrix?

The determinant of a matrix is a scalar value that can be calculated from the entries of a square matrix. It is used to determine if a matrix is invertible and to solve systems of linear equations.

4. What is a stochastic process?

A stochastic process is a collection of random variables that evolve over time. It is used to model random phenomena in various fields such as physics, economics, and biology.

5. How are matrix limits used in linear algebra?

Matrix limits are used in linear algebra to study the behavior of a sequence of matrices as the number of rows and columns increases without bound. This can help determine the convergence or divergence of a sequence of matrices.

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