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In Problems \(1-6\), write the linear system in matrix form. $$ \begin{aligned} &\frac{d x}{d t}=3 x-5 y \\ &\frac{d y}{d t}=4 x+8 y \end{aligned} $$

Short Answer

Expert verified
The matrix form is \( \frac{d\vec{X}}{dt} = \begin{bmatrix} 3 & -5 \\ 4 & 8 \end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} \).

Step by step solution

01

Identify the Coefficients

Examine the given system of differential equations: \( \frac{dx}{dt} = 3x - 5y \) and \( \frac{dy}{dt} = 4x + 8y \). The coefficients here are used for writing the matrix: 3 and -5 for the first equation, and 4 and 8 for the second equation.
02

Write the Coefficient Matrix

Place the coefficients of \( x \) and \( y \) from each equation into a matrix. This forms the coefficient matrix \( A \): \[A = \begin{bmatrix} 3 & -5 \ 4 & 8 \end{bmatrix}.\]
03

Define the Variables Vector

The variables \( x \) and \( y \) form a column vector represented as \(\vec{X} = \begin{bmatrix} x \ y \end{bmatrix}.\)
04

Write the Derivative Vector

The derivatives of \( x \) and \( y \) with respect to \( t \) are put into a vector: \[ \frac{d\vec{X}}{dt} = \begin{bmatrix} \frac{dx}{dt} \ \frac{dy}{dt} \end{bmatrix}. \]
05

Combine into Matrix Form

Combine the coefficient matrix, the variables vector, and the derivative vector to write the system in matrix form: \[ \frac{d\vec{X}}{dt} = A\vec{X}, \]where \[ \frac{d\vec{X}}{dt} = \begin{bmatrix} \frac{dx}{dt} \ \frac{dy}{dt} \end{bmatrix}, \quad A = \begin{bmatrix} 3 & -5 \ 4 & 8 \end{bmatrix}, \quad \vec{X} = \begin{bmatrix} x \ y \end{bmatrix}. \]

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Key Concepts

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

Matrix Form
In linear algebra, expressing a system of equations in matrix form is both powerful and efficient. Essentially, matrix form is a way to represent a system of equations using matrices. Let's explore how it simplifies complex equations:
  • Matrix Representation: Instead of handling multiple separate equations, you can combine them into one concise format.
  • Organized Structure: Every element in a matrix represents a specific part of your equation, bringing order to potentially chaotic data.
  • Facilitates Solutions: By using advanced linear algebra techniques, solving becomes more straightforward.
In the context of differential equations, moving to matrix form is the first step in applying methods like eigenvalue-eigenvector analysis, which is essential for finding solutions. Thus, understanding how to convert a system into matrix form is crucial for both clarity and solving these equations effectively.
System of Differential Equations
A system of differential equations involves multiple equations that are related and need to be solved together. These systems appear often in real-world applications:
  • Dynamic Systems: They describe how variables change over time, such as in physics, engineering, and biology.
  • Interconnected Variables: Each equation in the system can depend on multiple variables, demonstrating intricacies within systems.
  • Unified Approach: Solving these involves using all the equations at once rather than separately.
Consider the example system given:- The rate of change of the variable \( x \) depends not only on \( x \) itself but also on \( y \), and vice versa.- This interdependence requires developing techniques that can solve these coupled equations simultaneously.Systems of differential equations often result in insights into how each variable influences the others, providing a complete picture of the modeled phenomena.
Coefficient Matrix
The coefficient matrix is a compact way to store the coefficients from the system of equations. Think of it as a summary that’s easy to use when manipulating equations algebraically:
  • Matrix Elements: Each number in the matrix corresponds to a coefficient from the equations, aligning with each variable.
  • Matrix Size: The dimension of the coefficient matrix corresponds to the number of equations and variables in the system.
  • Simplified Calculations: Having all coefficients in one place makes it easier to perform linear algebra operations.
For the example given, the coefficient matrix is \[A = \begin{bmatrix} 3 & -5 \ 4 & 8 \end{bmatrix}\]- Each row of the matrix represents an equation.- Each column matches a variable (\(x\) or \(y\)).Utilizing the coefficient matrix in linear algebra allows for various manipulations and solutions methods such as finding determinants, calculating inverses, and performing Gaussian elimination. Ultimately, it is a vital tool for systematically and efficiently handling systems of equations.

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