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Find the particular solution of the system ′ = 4 − 3, ′ = 6 − 7 that satisfies the initial conditions x(0) = 2, y(0) = −1.

User DCO
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To find the particular solution of the system
\displaystyle\sf x' = 4x - 3y and
\displaystyle\sf y' = 6x - 7y that satisfies the initial conditions
\displaystyle\sf x(0) = 2 and
\displaystyle\sf y(0) = -1, we can use the method of solving a system of linear differential equations.

Let's first find the general solution of the system by solving the differential equations. We can rewrite the system in matrix form as follows:


\displaystyle\sf \begin{bmatrix} x' \\ y' \end{bmatrix} = \begin{bmatrix} 4 & -3 \\ 6 & -7 \end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix}.

The coefficient matrix
\displaystyle\sf A is
\displaystyle\sf \begin{bmatrix} 4 & -3 \\ 6 & -7 \end{bmatrix}, and the vector
\displaystyle\sf X is
\displaystyle\sf \begin{bmatrix} x \\ y \end{bmatrix}.

To find the general solution, we need to find the eigenvalues and eigenvectors of matrix
\displaystyle\sf A.

By solving
\displaystyle\sf \det(A-\lambda I) = 0, where
\displaystyle\sf \lambda is the eigenvalue and
\displaystyle\sf I is the identity matrix, we can find the eigenvalues.

Solving
\displaystyle\sf \det(A-\lambda I) = \det\left(\begin{bmatrix} 4 & -3 \\ 6 & -7 \end{bmatrix} - \begin{bmatrix} \lambda & 0 \\ 0 & \lambda \end{bmatrix}\right) = 0, we get
\displaystyle\sf \lambda^(2) - (-3-6)\lambda + (4\cdot -7 - 3\cdot 6) = \lambda^(2) + 9\lambda - 54 = 0.

Solving the quadratic equation, we find
\displaystyle\sf \lambda = -12 and
\displaystyle\sf \lambda = 3.

Next, we find the corresponding eigenvectors by solving
\displaystyle\sf (A-\lambda I)X = 0 for each eigenvalue.

For
\displaystyle\sf \lambda = -12, we have
\displaystyle\sf (A-(-12)I)X = \begin{bmatrix} 16 & -3 \\ 6 & 5 \end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} = 0. By solving this system of equations, we find
\displaystyle\sf X_(1) = \begin{bmatrix} 3 \\ 2 \end{bmatrix}.

For
\displaystyle\sf \lambda = 3, we have
\displaystyle\sf (A-(3)I)X = \begin{bmatrix} 1 & -3 \\ 6 & -10 \end{bmatrix} \begin{bmatrix} x \\ y \end{bmatrix} = 0. By solving this system of equations, we find
\displaystyle\sf X_(2) = \begin{bmatrix} 1 \\ 2 \end{bmatrix}.

The general solution of the system is given by
\displaystyle\sf X = c_(1)e^(-12t)X_(1) + c_(2)e^(3t)X_(2), where
\displaystyle\sf c_(1) and
\displaystyle\sf c_(2) are constants, and
\displaystyle\sf X_(1) and
\displaystyle\sf X_(2) are the eigenvectors corresponding to the eigenvalues -12 and 3, respectively.

To find the particular solution that satisfies the initial conditions
\displaystyle\sf x(0) = 2 and
\displaystyle\sf y(0) = -1, we substitute these values into the general solution and solve for the constants
\displaystyle\sf c_(1) and
\displaystyle\sf c_(2).

Substituting
\displaystyle\sf t = 0,
\displaystyle\sf x(0) = 2, and
\displaystyle\sf y(0) = -1 into the general solution, we have:


\displaystyle\sf 2 = c_(1)e^(-12\cdot 0)(3) + c_(2)e^(3\cdot 0)(1),


\displaystyle\sf -1 = c_(1)e^(-12\cdot 0)(2) + c_(2)e^(3\cdot 0)(2).

Simplifying these equations, we get:


\displaystyle\sf 2 = 3c_(1) + c_(2),


\displaystyle\sf -1 = 2c_(1) + 2c_(2).

Solving this system of equations, we find
\displaystyle\sf c_(1) = (1)/(5) and
\displaystyle\sf c_(2) = (7)/(5).

Therefore, the particular solution of the system that satisfies the initial conditions is:


\displaystyle\sf X = (1)/(5)e^(-12t)\begin{bmatrix} 3 \\ 2 \end{bmatrix} + (7)/(5)e^(3t)\begin{bmatrix} 1 \\ 2 \end{bmatrix}.

User Gezel
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