Chapter 3: Problem 25
The Wronskian formed from a solution set of the given differential equation has the specified value at \(t=1\). Determine \(W(t)\). \(t^{3} y^{\prime \prime \prime}+t^{2} y^{\prime \prime}-2 y=0, \quad t>0 ; \quad W(1)=3\)
Short Answer
Expert verified
Answer: W(1)=3.
Step by step solution
01
Find the general solution of the differential equation
To find the general solution, we first rewrite the given differential equation as a linear homogeneous equation:
\( t^{3}y''' + t^{2}y'' - 2y = 0 \).
Solving this differential equation analytically might be quite challenging, and it is not required to find the Wronskian.
We will instead express the general solution in terms of three linearly independent functions \(y_1(t), y_2(t),\) and \(y_3(t)\), which are solutions to the differential equation.
So, the general solution will be in the form:
\(y(t) = C_1y_1(t) + C_2y_2(t) + C_3y_3(t)\),
Where \(C_1, C_2,\) and \(C_3\) are constant coefficients.
02
Compute the Wronskian
The Wronskian is defined as the determinant of a matrix containing the solutions and their first two derivatives. In this case, the matrix is
$$
\begin{vmatrix}
y_1 & y_2 & y_3 \\
y_1' & y_2' & y_3' \\
y_1'' & y_2'' & y_3''
\end{vmatrix}
$$
Now, using the definition, the Wronskian \(W(t)\) is given by
$$
W(t) =
y_1(y_2'y_3'' - y_2''y_3') -
y_2(y_1'y_3'' - y_1''y_3') +
y_3(y_1'y_2'' - y_1''y_2')
$$
03
Determine \(W(t)\) when \(t=1\)
We know that \(W(1)=3\), so we need to determine the Wronskian at \(t=1\).
Plugging \(t=1\) into the expression for the Wronskian, we have:
$$
W(1) =
y_1(1)(y_2'(1)y_3''(1) - y_2''(1)y_3'(1)) -
y_2(1)(y_1'(1)y_3''(1) - y_1''(1)y_3'(1)) +
y_3(1)(y_1'(1)y_2''(1) - y_1''(1)y_2'(1))
$$
Given the information from the problem, we know \(W(1)=3\). If we had more information on the functions \(y_1(t), y_2(t),\) and \(y_3(t)\), we could possibly determine \(W(t)\) for all \(t\). However, we would need explicit expressions for these functions or their derivatives, which we do not have.
As a result, we can only determine \(W(t)\) at \(t = 1\), where \(W(1) = 3\).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Linear Homogeneous Equation
A linear homogeneous differential equation is an equation of the form \( a_n(t)y^{(n)} + a_{n-1}(t)y^{(n-1)} + \cdots + a_0(t)y = 0 \). It is called 'homogeneous' because the right side of the equation is zero, meaning there is no "forcing function" or "non-homogeneous term". All terms involve the unknown function \( y \) or its derivatives.
The given equation \( t^{3}y''' + t^{2}y'' - 2y = 0 \) is an example of such an equation where every term contains the dependent variable \( y \) or its derivatives, and there is a common multiplying factor, \( a_i(t) \), which is a function of \( t \). Here, the powers of \( t \) alter the behavior of the coefficients but still follow the homogeneous principle.
The given equation \( t^{3}y''' + t^{2}y'' - 2y = 0 \) is an example of such an equation where every term contains the dependent variable \( y \) or its derivatives, and there is a common multiplying factor, \( a_i(t) \), which is a function of \( t \). Here, the powers of \( t \) alter the behavior of the coefficients but still follow the homogeneous principle.
- The power of \( t \) in each of the terms indicates that the coefficients are variable rather than constant, which makes the equation potentially more complex to solve analytically.
- Solutions to such equations can often be expressed as a linear combination of solutions (independent functions), like \( y(t) = C_1y_1(t) + C_2y_2(t) + C_3y_3(t) \).
Linearly Independent Functions
In the context of differential equations, linearly independent functions are crucial for forming the general solution. Functions are linearly independent if no function can be expressed as a linear combination of the others.
For the equation \( t^{3}y''' + t^{2}y'' - 2y = 0 \), if we assume solutions \( y_1(t), y_2(t), \) and \( y_3(t) \), they must be linearly independent to form the general solution \( y(t) = C_1y_1(t) + C_2y_2(t) + C_3y_3(t) \).
For the equation \( t^{3}y''' + t^{2}y'' - 2y = 0 \), if we assume solutions \( y_1(t), y_2(t), \) and \( y_3(t) \), they must be linearly independent to form the general solution \( y(t) = C_1y_1(t) + C_2y_2(t) + C_3y_3(t) \).
- If these solutions were not linearly independent, we couldn’t write a full set of solutions for the equation.
- Linear independence can be verified by checking that the Wronskian determinant is not zero for some \( t \).
Determinant of a Matrix
A determinant is an algebraic expression that gives important information about a matrix. In the context of the Wronskian, it helps verify the linear independence of a system of functions.
The Wronskian for functions \( y_1, y_2, \) and \( y_3 \) is set up as a matrix whose rows are formed by the functions and their derivatives. In this specific exercise, the Wronskian matrix is:\[\begin{vmatrix}y_1 & y_2 & y_3 \y_1' & y_2' & y_3' \y_1'' & y_2'' & y_3''\end{vmatrix}\]
The Wronskian for functions \( y_1, y_2, \) and \( y_3 \) is set up as a matrix whose rows are formed by the functions and their derivatives. In this specific exercise, the Wronskian matrix is:\[\begin{vmatrix}y_1 & y_2 & y_3 \y_1' & y_2' & y_3' \y_1'' & y_2'' & y_3''\end{vmatrix}\]
- For a function set to be linearly independent, the determinant, called the Wronskian, should be non-zero at some point \( t \).
- Calculating the determinant involves multiplying terms using a specific pattern (similar to cross-multiplication but more complex for larger matrices) and helps us explore relationships between the solutions.