/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 12 Consider the vectors \(\mathbf{x... [FREE SOLUTION] | 91Ó°ÊÓ

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Consider the vectors \(\mathbf{x}^{(1)}(t)=\left(\begin{array}{l}t \\\ 1\end{array}\right)\) and \(\mathbf{x}^{(2)}(t)=\left(\begin{array}{l}t^{2} \\\ 2 t\end{array}\right)\) a. Compute the Wronskian of \(\mathbf{x}^{(1)}\) and \(\mathbf{x}^{(2)}\). b. In what intervals are \(\mathbf{x}^{(1)}\) and \(\mathbf{x}^{(2)}\) linearly independent? c. What conclusion can be drawn about the coefficients in the system of homogeneous differential equations satisfied by \(\mathbf{x}^{(1)}\) and \(\mathbf{x}^{(2)} ?\) d. Find this system of equations and verify the conclusions of part c.

Short Answer

Expert verified
Question: Determine the intervals where the given vectors \(\mathbf{x}^{(1)}(t) = \begin{pmatrix} t \\ 1 \end{pmatrix}\) and \(\mathbf{x}^{(2)}(t) = \begin{pmatrix} t^2 \\ 2t \end{pmatrix}\) are linearly independent. Answer: The intervals where the given vectors are linearly independent are \((-\infty, 0)\) and \((0, \infty)\).

Step by step solution

01

Compute the Wronskian

The Wronskian of the given vectors is given by the determinant of the matrix formed by placing the vectors as columns: $$ W\left(\mathbf{x}^{(1)}, \mathbf{x}^{(2)}\right) = \begin{vmatrix} t & t^2 \\ 1 & 2t \end{vmatrix} $$ Now we can compute the Wronskian by calculating the determinant: $$ W\left(\mathbf{x}^{(1)}, \mathbf{x}^{(2)}\right) = t(2t) - (1)(t^2) = t^2 $$
02

Find the intervals of linear independence

The given vectors \(\mathbf{x}^{(1)}(t)\) and \(\mathbf{x}^{(2)}(t)\) are linearly independent if their Wronskian is nonzero. Since \(W(\mathbf{x}^{(1)}, \mathbf{x}^{(2)}) = t^2\), the vectors are linearly independent for all \(t \neq 0\). Thus, the intervals of linear independence are \((-\infty, 0)\) and \((0, \infty)\).
03

Conclusions about the homogeneous differential equations

The system of homogeneous differential equations satisfied by \(\mathbf{x}^{(1)}(t)\) and \(\mathbf{x}^{(2)}(t)\) must have constant coefficients, as their linear independence depends on the interval of \(t\) (excluding \(t=0\)). This implies that the coefficients in the system of equations do not depend on \(t\).
04

Find the system of equations

The vectors \(\mathbf{x}^{(1)}(t)\) and \(\mathbf{x}^{(2)}(t)\) satisfy a system of first-order linear constant-coefficient homogeneous equations of the form: $$ \begin{aligned} a_1\frac{d\mathbf{x}^{(1)}(t)}{dt} + a_2\frac{d\mathbf{x}^{(2)}(t)}{dt} &= 0, \\ b_1\frac{d\mathbf{x}^{(1)}(t)}{dt} + b_2\frac{d\mathbf{x}^{(2)}(t)}{dt} &= 0 \\ \end{aligned} $$ Find the derivatives of the given vectors \({\mathbf{x}^{(1)}(t)}\) and \({\mathbf{x}^{(2)}(t)}\): $$ \frac{d\mathbf{x}^{(1)}(t)}{dt} = \begin{pmatrix} 1 \\ 0 \end{pmatrix}, \qquad \frac{d\mathbf{x}^{(2)}(t)}{dt} = \begin{pmatrix} 2t \\ 2 \end{pmatrix} $$ Now, substitute these derivatives into the system of equations. The resulting equations simplify to: $$ \begin{aligned} a_1 +2ta_2 = 0, \\ 2b_1 + 2tb_2 = 0 \\ \end{aligned} $$ Solving for \(a_1\) and \(b_1\), we find \(a_1=-2ta_2\) and \(b_1=-tb_2\). Since they both depend on \(t\), the system of differential equations is: $$ \begin{aligned} -2ta_2\frac{d\mathbf{x}^{(1)}(t)}{dt} + a_2\frac{d\mathbf{x}^{(2)}(t)}{dt} &= 0, \\ -tb_2\frac{d\mathbf{x}^{(1)}(t)}{dt} + b_2\frac{d\mathbf{x}^{(2)}(t)}{dt} &= 0 \\ \end{aligned} $$ The above system of equations confirms the conclusion from part c that the coefficients in the system of homogeneous differential equations do not depend on \(t\) (excluding the \(t=0\)).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Wronskian
The Wronskian is a mathematical tool used to determine if a set of functions or vectors are linearly independent. Linear independence indicates that no vector within the set can be represented as a linear combination of the others. Just imagine you have a group of friends, and each one is unique, doing their separate thing. If none of them can be mimicked exactly by the others, they are like linearly independent vectors.

To compute the Wronskian of two vectors, place them as columns in a matrix and find the determinant of that matrix. For the vectors \( \mathbf{x}^{(1)}(t) = \begin{pmatrix} t \ 1 \end{pmatrix} \) and \( \mathbf{x}^{(2)}(t) = \begin{pmatrix} t^{2} \ 2t \end{pmatrix} \), the steps are simple:
  • Form the matrix: \( \begin{pmatrix} t & t^2 \ 1 & 2t \end{pmatrix} \)
  • Calculate the determinant: \( t imes 2t - 1 imes t^2 = t^2 \)
In this case, the Wronskian is \( t^2 \). A non-zero determinant indicates that the vectors are linearly independent except when \( t = 0 \).
Linear Independence
Linear independence is a vital concept in understanding the uniqueness of solutions to differential equations. A set of vectors is linearly independent if none of the vectors can be expressed as a combination of the others, much like how each key opens a distinct lock.

How do we check for it? The Wronskian helps us here. If the Wronskian of the vectors is zero, the vectors are linearly dependent. However, if it is non-zero, they are independent. From our earlier calculation, the Wronskian of \( \mathbf{x}^{(1)}(t) \) and \( \mathbf{x}^{(2)}(t) \) was \( t^2 \).
  • For \( t eq 0 \), \( t^2 eq 0 \), indicating the vectors are linearly independent.
  • For \( t = 0 \), \( t^2 = 0 \), indicating the vectors are linearly dependent.
Hence, these vectors are linearly independent except at \( t = 0 \). This property is crucial to identifying intervals where the solutions to differential equations are unique.
Homogeneous Differential Equations
Homogeneous differential equations are a specific type of differential equation where every term is a function of the dependent variable and its derivatives. They contain no free-standing constants. Imagine this as a perfectly balanced seesaw, with every weight dependent on each other.

To put it mathematically, a system of first-order linear constant-coefficient homogeneous differential equations has the form:
  • \( a_1 \frac{d\mathbf{x}^{(1)}(t)}{dt} + a_2 \frac{d\mathbf{x}^{(2)}(t)}{dt} = 0 \)
  • \( b_1 \frac{d\mathbf{x}^{(1)}(t)}{dt} + b_2 \frac{d\mathbf{x}^{(2)}(t)}{dt} = 0 \)
In our case, we derived:
  • \( -2ta_2 \frac{d\mathbf{x}^{(1)}(t)}{dt} + a_2 \frac{d\mathbf{x}^{(2)}(t)}{dt} = 0 \)
  • \( -tb_2 \frac{d\mathbf{x}^{(1)}(t)}{dt} + b_2 \frac{d\mathbf{x}^{(2)}(t)}{dt} = 0 \)
Here, constant coefficients relate to the function derivatives, showing that the system's behavior depends entirely on the variable \( t \) (except \( t=0 \)). Such systems frequently arise in physics and engineering, modeling real-world systems with dependence on time or other variables.

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Most popular questions from this chapter

Find the general solution of the given system of equations. $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{2} & {-5} \\ {1} & {-2}\end{array}\right) \mathbf{x}+\left(\begin{array}{r}{-\cos t} \\ {\sin t}\end{array}\right) $$

Consider the system $$ \mathbf{x}^{\prime}=\left(\begin{array}{ll}{-1} & {-1} \\ {-\alpha} & {-1}\end{array}\right) \mathbf{x} $$ $$ \begin{array}{l}{\text { (a) Solve the system for } \alpha=0.5 \text { . What are the eigennalues of the coefficient mattix? }} \\ {\text { Classifith the equilitrium point a the natare the cigemalues of the coefficient matrix? Classify }} \\ {\text { the equilithessm for } \alpha \text { . What as the cigemalluce of the coefficient matrix Classify }} \\ {\text { the equilibrium poin at the oigin as to the styse. ematitue different types of behwior. }} \\\ {\text { (c) the parts (a) and (b) solutions of thesystem exhibit two quite different ypes of behwior. }}\end{array} $$ $$ \begin{array}{l}{\text { Find the eigenvalues of the coefficient matrix in terms of } \alpha \text { and determine the value of } \alpha} \\ {\text { between } 0.5 \text { and } 2 \text { where the transition from one type of behavior to the other occurs. This }} \\ {\text { critical value of } \alpha \text { is called a bifurcation point. }}\end{array} $$ $$ \begin{array}{l}{\text { Electric Circuits. Problems } 32 \text { and } 33 \text { are concerned with the clectric circuit described by the }} \\ {\text { system of differential equations in Problem } 20 \text { of Section } 7.1 \text { : }}\end{array} $$ $$ \frac{d}{d t}\left(\begin{array}{l}{l} \\\ {V}\end{array}\right)=\left(\begin{array}{cc}{-\frac{R_{1}}{L}} & {-\frac{1}{L}} \\ {\frac{1}{C}} & {-\frac{1}{C R_{2}}}\end{array}\right)\left(\begin{array}{l}{I} \\ {V}\end{array}\right) $$

Solve the given system of equations in each of Problems 20 through 23. Assume that \(t>0 .\) $$ r_{1}=-1, \quad \xi^{(1)}=\left(\begin{array}{c}{-1} \\\ {2}\end{array}\right): \quad r_{2}=-2, \quad \xi^{(2)}=\left(\begin{array}{c}{1} \\ {2}\end{array}\right) $$

Prove that if \(\mathbf{A}\) is Hermitian, then \((\mathbf{A} \mathbf{x}, \mathbf{y})=(\mathbf{x}, \mathbf{A} \mathbf{y}),\) where \(\mathbf{x}\) and \(\mathbf{y}\) are any vectors.

Verify that the given vector is the general solution of the corresponding homogeneous system, and then solve the non-homogeneous system. Assume that \(t>0 .\) $$ t \mathbf{x}^{\prime}=\left(\begin{array}{cc}{2} & {-1} \\ {3} & {-2}\end{array}\right) \mathbf{x}+\left(\begin{array}{c}{1-t^{2}} \\ {2 t}\end{array}\right), \quad \mathbf{x}^{(t)}=c_{1}\left(\begin{array}{c}{1} \\\ {1}\end{array}\right) t+c_{2}\left(\begin{array}{c}{1} \\\ {3}\end{array}\right) t^{-1} $$

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