Chapter 10: Problem 25
\(y^{\prime \prime}=t y^{\prime}+y+1\), with \(y(0)=1\), and \(y^{\prime}(0)=0\).
Short Answer
Expert verified
Power series or iterative solution can solve the equation, starting with initial conditions.
Step by step solution
01
Identify the Type of Differential Equation
We are given a second-order linear differential equation with variable coefficients: \[ y'' = t y' + y + 1 \]where \( y(0) = 1 \) and \( y'(0) = 0 \). This is a non-homogeneous linear differential equation.
02
Substitute Known Values
Use the initial conditions to find specific solutions or verify any derived general solutions. Since we are dealing with variable coefficients, let's identify any possibilities for substitution.
03
Attempt Power Series Expansion
To solve this equation, assume a power series solution:\[ y(t) = \sum_{n=0}^{ } a_n t^n \]Then, differentiate it to find expressions for \( y' \) and \( y'' \) in terms of series.
04
Calculate Derivatives
Calculate the derivatives:\[ y'(t) = \sum_{n=1}^{ } n a_n t^{n-1} \]\[ y''(t) = \sum_{n=2}^{ } n(n-1) a_n t^{n-2} \]Substitute these into the given differential equation.
05
Substitute Derivatives into the Differential Equation
Substitute the power series expressions for \( y'' \), \( y' \), and \( y \) into:\[\sum_{n=2}^{ } n(n-1) a_n t^{n-2} = t \sum_{n=1}^{ } n a_n t^{n-1} + \sum_{n=0}^{ } a_n t^n + 1\]Align and simplify terms based on the coefficients of powers of \( t \).
06
Match Coefficients for Power Series
Equate the coefficients of like powers of \( t \) from both sides of the equation. This will generate a sequence of equations in terms of \( a_n \). Solve these iteratively using the initial conditions.
07
Solve for Unknown Coefficients
Substitute \( y(0)=1 \) and \( y'(0)=0 \) to determine specific coefficients (such as \( a_0 \) and \( a_1 \)). Use these to solve subsequent terms in the power series for \( y(t) \).
08
Construct the Solution
Using the determined coefficients, construct the explicit function for \( y(t) \). Verify it satisfies both the differential equation and initial conditions.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Power Series Expansion
A power series is a way of expressing a function as an infinite sum of terms calculated from its derivatives at a single point. When it comes to differential equations, a power series expansion is incredibly useful, especially when dealing with variable coefficients.
In our example, we assume the solution takes the form of a power series:
This step is crucial as it helps transform the differential equation into an algebraic equation related to the coefficients \(a_n\).
The primary goal here is to align series and solve for unknown coefficients by matching terms of the same power in \(t\). This method is a cornerstone for solving differential equations with variable coefficients.
In our example, we assume the solution takes the form of a power series:
- \[ y(t) = \sum_{n=0}^{\infty} a_n t^n \]
This step is crucial as it helps transform the differential equation into an algebraic equation related to the coefficients \(a_n\).
The primary goal here is to align series and solve for unknown coefficients by matching terms of the same power in \(t\). This method is a cornerstone for solving differential equations with variable coefficients.
Initial Conditions
Initial conditions are specific values used to find the particular solution to a differential equation. They specify the value of the function and its derivatives at a particular point, usually \(t=0\).
For our differential equation, we have:
Without initial conditions, the solution would remain in its most general form, containing arbitrary constants. With them, we tailor our solution to fit the particular scenario described by the original problem.
For our differential equation, we have:
- \( y(0) = 1 \)
- \( y'(0) = 0 \)
Without initial conditions, the solution would remain in its most general form, containing arbitrary constants. With them, we tailor our solution to fit the particular scenario described by the original problem.
Non-Homogeneous Linear Differential Equation
A differential equation is termed as non-homogeneous if it contains a term that does not depend on the function or its derivatives. In our case:
To solve it, one typically finds both the complementary solution to the homogeneous equation \(Ly = 0\) and a particular solution to the non-homogeneous part.
The complete solution is the sum of these two solutions.
In our problem, the presence of the variable \(t\) in the coefficients and the non-zero constant term requires a more advanced technique, such as a power series expansion, to find the particular solution.
- The equation \[ y'' = t y' + y + 1 \] has a constant \(+1\), making it non-homogeneous.
To solve it, one typically finds both the complementary solution to the homogeneous equation \(Ly = 0\) and a particular solution to the non-homogeneous part.
The complete solution is the sum of these two solutions.
In our problem, the presence of the variable \(t\) in the coefficients and the non-zero constant term requires a more advanced technique, such as a power series expansion, to find the particular solution.
Variable Coefficients
The coefficients of a differential equation are functions of the independent variable rather than constants. In our differential equation:
These complications often rule out straightforward solutions like the characteristic equation, which is used for constant coefficients.
The variable coefficients make this equation particularly interesting because it can describe more complex, real-world phenomena.
Dealing with variable coefficients requires techniques like substitution or, as we've explored, a power series approach. By expanding in a power series and matching coefficients for each power of \(t\), we can find solutions even in the presence of these varying coefficients.
- \( y'' = t y' + y + 1 \)
These complications often rule out straightforward solutions like the characteristic equation, which is used for constant coefficients.
The variable coefficients make this equation particularly interesting because it can describe more complex, real-world phenomena.
Dealing with variable coefficients requires techniques like substitution or, as we've explored, a power series approach. By expanding in a power series and matching coefficients for each power of \(t\), we can find solutions even in the presence of these varying coefficients.