Chapter 5: Problem 3
Zeigen Sie: Die Funktionen $$ y_{1}(x)=\mathrm{e}^{2 x} \quad \text { und } \quad y_{2}(x)=x \cdot \mathrm{e}^{2 x} $$ bilden eine Fundamentalbasis der homogenen Differentialgleichung 2 . Ordnung \(y^{\prime \prime}-4 y^{\prime}+4 y=0\)
Short Answer
Expert verified
The functions \( y_1 = e^{2x} \) and \( y_2 = xe^{2x} \) form a fundamental set of solutions for the differential equation \( y'' - 4y' + 4y = 0 \).
Step by step solution
01
- Verify that the given functions are solutions
First, check whether each of the given functions satisfies the differential equation. Start with \(y_1(x) = e^{2x}\). Compute the first and second derivatives of \(y_1(x)\).
02
- Find the derivatives of y1
Compute the first derivative of \(y_1(x) = e^{2x}\): \[y_1'(x) = 2e^{2x}\]. Compute the second derivative: \[y_1''(x) = 4e^{2x}\]
03
- Check y1 in the differential equation
Plug \(y_1, y_1'\), and \(y_1''\) into the differential equation \(y'' - 4y' + 4y = 0\): \[4e^{2x} - 4(2e^{2x}) + 4e^{2x} = 0\]. Simplifying, we get \[4e^{2x} - 8e^{2x} + 4e^{2x} = 0\], which simplifies to \[0 = 0\]. Thus, \(y_1(x) = e^{2x}\) is a solution.
04
- Find the derivatives of y2
Next, check \(y_2(x) = x e^{2x}\). Compute the first derivative using the product rule: \[y_2'(x) = e^{2x} + 2xe^{2x}\]. Compute the second derivative: \[y_2''(x) = 2e^{2x} + 2(e^{2x} + 2xe^{2x}) = 4e^{2x} + 4xe^{2x}\].
05
- Check y2 in the differential equation
Plug \(y_2, y_2'\), and \(y_2''\) into the differential equation \(y'' - 4y' + 4y = 0\): \[ (4e^{2x} + 4xe^{2x}) - 4(e^{2x} + 2xe^{2x}) + 4xe^{2x} = 0 \]. Simplifying, \[ 4e^{2x} + 4xe^{2x} - 4e^{2x} - 8xe^{2x} + 4xe^{2x} = 0 \] further simplifies to \[0 = 0\]. Thus, \(y_2(x) = xe^{2x}\) is a solution.
06
- Verify Linear Independence
To form a fundamental set of solutions, the functions must be linearly independent. Use the Wronskian determinant: \[W(y_1, y_2) = \begin{vmatrix} y_1 & y_2 \ y_1' & y_2' \end{vmatrix} = \begin{vmatrix} e^{2x} & xe^{2x} \ 2e^{2x} & e^{2x} + 2xe^{2x} \end{vmatrix}\].
07
- Compute the Wronskian
Compute the determinant: \[W(y_1, y_2) = e^{2x}(e^{2x} + 2xe^{2x}) - xe^{2x}(2e^{2x}) = e^{4x} + 2xe^{4x} - 2xe^{4x}\]. Simplifying, we get \[W(y_1, y_2) = e^{4x}\]. Since \( W(y_1, y_2) eq 0 \), the functions are linearly independent.
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Fundamental Basis
In the context of differential equations, a **fundamental basis** refers to a set of solutions to a homogeneous differential equation that can be used to express any solution of the equation. For a second-order homogeneous linear differential equation, this means finding two solutions whose linear combinations represent the general solution.
For example, the functions \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\) can form a fundamental basis for the differential equation \(y'' - 4y' + 4y = 0\). The key lies in showing that both functions are valid solutions and are linearly independent.
This makes it possible to write any solution \(y(x)\) of this differential equation in the form:
\[ y(x) = c_1 y_1(x) + c_2 y_2(x) \]
where \(c_1\) and \(c_2\) are constants.
For example, the functions \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\) can form a fundamental basis for the differential equation \(y'' - 4y' + 4y = 0\). The key lies in showing that both functions are valid solutions and are linearly independent.
This makes it possible to write any solution \(y(x)\) of this differential equation in the form:
\[ y(x) = c_1 y_1(x) + c_2 y_2(x) \]
where \(c_1\) and \(c_2\) are constants.
Linear Independence
For a set of solutions to form a fundamental basis, the solutions must not only satisfy the differential equation but also be **linearly independent**.
**Linear independence** means that no solution in the set can be written as a linear combination of the others. Mathematically, for two functions \(y_1(x)\) and \(y_2(x)\), they are linearly independent if there are no constants \(c_1\) and \(c_2\), not both zero, such that:
\[ c_1 y_1(x) + c_2 y_2(x) = 0 \text{ for all } x \]
In our example problem, to prove the functions \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\) are linearly independent, we can use the Wronskian determinant.
**Linear independence** means that no solution in the set can be written as a linear combination of the others. Mathematically, for two functions \(y_1(x)\) and \(y_2(x)\), they are linearly independent if there are no constants \(c_1\) and \(c_2\), not both zero, such that:
\[ c_1 y_1(x) + c_2 y_2(x) = 0 \text{ for all } x \]
In our example problem, to prove the functions \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\) are linearly independent, we can use the Wronskian determinant.
Wronskian Determinant
The **Wronskian Determinant** provides a robust way to test if two functions are linearly independent. For two functions \(y_1(x)\) and \(y_2(x)\), the Wronskian determinant \(W(y_1, y_2)\) is given by:
\[ W(y_1, y_2) = \begin{vmatrix} y_1 & y_2 \ y_1' & y_2' \ \end{vmatrix} \]
In our example, we calculate \(W(y_1(x), y_2(x))\) as:
\[ W(y_1, y_2) = e^{2x}(e^{2x} + 2xe^{2x}) - xe^{2x}(2e^{2x}) = e^{4x} + 2xe^{4x} - 2xe^{4x}\]
Simplifying, we get:
\[ W(y_1, y_2) = e^{4x}\]
Since \( W(y_1, y_2) eq 0\), \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\) are linearly independent and thus form a fundamental basis.
\[ W(y_1, y_2) = \begin{vmatrix} y_1 & y_2 \ y_1' & y_2' \ \end{vmatrix} \]
In our example, we calculate \(W(y_1(x), y_2(x))\) as:
\[ W(y_1, y_2) = e^{2x}(e^{2x} + 2xe^{2x}) - xe^{2x}(2e^{2x}) = e^{4x} + 2xe^{4x} - 2xe^{4x}\]
Simplifying, we get:
\[ W(y_1, y_2) = e^{4x}\]
Since \( W(y_1, y_2) eq 0\), \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\) are linearly independent and thus form a fundamental basis.
Second Order Differential Equations
A **second-order differential equation** involves the second derivative of the unknown function. It can generally be written as:
\[ a(x)y'' + b(x)y' + c(x)y = 0 \]
where \(a(x), b(x),\) and \(c(x)\) are given functions of \(x\). For homogeneous linear differential equations, the coefficients are functions of the independent variable, and the equation equals zero.
In our solved example, the differential equation is:
\[ y'' - 4y' + 4y = 0 \]
To solve it, we found two solutions, \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\), and showed they are linearly independent to form the fundamental basis.
These steps ensure that any solution to the differential equation can be written as a combination of these two functions. Thus, the general solution to the equation is:
\[ y(x) = c_1 e^{2x} + c_2 xe^{2x} \]
with \(c_1\) and \(c_2\) as arbitrary constants.
\[ a(x)y'' + b(x)y' + c(x)y = 0 \]
where \(a(x), b(x),\) and \(c(x)\) are given functions of \(x\). For homogeneous linear differential equations, the coefficients are functions of the independent variable, and the equation equals zero.
In our solved example, the differential equation is:
\[ y'' - 4y' + 4y = 0 \]
To solve it, we found two solutions, \(y_1(x) = e^{2x}\) and \(y_2(x) = xe^{2x}\), and showed they are linearly independent to form the fundamental basis.
These steps ensure that any solution to the differential equation can be written as a combination of these two functions. Thus, the general solution to the equation is:
\[ y(x) = c_1 e^{2x} + c_2 xe^{2x} \]
with \(c_1\) and \(c_2\) as arbitrary constants.