`dsolve`

can handle several ordinary differential
equations in several variables, with or without initial conditions.

Solve the system of linear first-order differential equations

$$\begin{array}{l}\frac{df}{dt}=3f+4g,\\ \frac{dg}{dt}=-4f+3g.\end{array}$$

First, create the symbolic functions `f(t)`

and `g(t)`

,
and then declare the equations.

syms f(t) g(t) eqn1 = diff(f) == 3*f + 4*g; eqn2 = diff(g) == -4*f + 3*g;

Solve the system by using `dsolve`

. The `dsolve`

function
returns the solutions as elements of the structure `S`

.

S = dsolve(eqn1, eqn2)

S = g: [1x1 sym] f: [1x1 sym]

To return `f(t)`

and `g(t)`

,
access the elements of `S`

.

fSol(t) = S.f gSol(t) = S.g

fSol(t) = C2*cos(4*t)*exp(3*t) + C1*sin(4*t)*exp(3*t) gSol(t) = C1*cos(4*t)*exp(3*t) - C2*sin(4*t)*exp(3*t)

Alternatively, store `f(t)`

and `g(t)`

directly
by providing the output arguments as a vector.

[fSol(t) gSol(t)] = dsolve(eqn1, eqn2)

fSol(t) = C2*cos(4*t)*exp(3*t) + C1*sin(4*t)*exp(3*t) gSol(t) = C1*cos(4*t)*exp(3*t) - C2*sin(4*t)*exp(3*t)

Specifying initial conditions allows `dsolve`

to
find the values of constants.

Specify initial conditions `f(0) == 0`

and ```
g(0)
== 1
```

, and solve the equations. `dsolve`

replaces
the constants with their values.

c1 = f(0) == 0; c2 = g(0) == 1; [fSol(t) gSol(t)] = dsolve(eqn1, eqn2, c1, c2)

fSol(t) = sin(4*t)*exp(3*t) gSol(t) = cos(4*t)*exp(3*t)

Visualize the solutions by using `fplot`

.

fplot(fSol) hold on fplot(gSol) grid on legend('fSol','gSol','Location','best')

You can solve differential equations in matrix form by using `dsolve`

.

Consider the system of differential equations

$$\begin{array}{l}\frac{dx}{dt}=x+2y+1,\\ \frac{dy}{dt}=-x+y+t.\end{array}$$

The system can be represented in matrix form as

$$\left[\begin{array}{c}x\text{'}\\ y\text{'}\end{array}\right]=\left[\begin{array}{cc}1& 2\\ -1& 1\end{array}\right]\left[\begin{array}{c}x\\ y\end{array}\right]+\left[\begin{array}{c}1\\ t\end{array}\right].$$

Let

$$Y=\left[\begin{array}{c}x\\ y\end{array}\right],A=\left[\begin{array}{cc}1& 2\\ -1& 1\end{array}\right],B=\left[\begin{array}{c}1\\ t\end{array}\right].$$

The relation is now *Y*′ = *A**Y* + *B*.

Define these matrices and the matrix equation.

syms x(t) y(t) A = [1 2; -1 1]; B = [1; t]; Y = [x; y]; eqn = diff(Y) == A*Y + B

eqn(t) = diff(x(t), t) == x(t) + 2*y(t) + 1 diff(y(t), t) == t - x(t) + y(t)

Solve the matrix equation by using `dsolve`

.

[xSol(t) ySol(t)] = dsolve(eqn)

xSol(t) = 2^(1/2)*exp(t)*cos(2^(1/2)*t)*(C2 + (exp(-t)*(4*sin(2^(1/2)*t) +... 2^(1/2)*cos(2^(1/2)*t) + 6*t*sin(2^(1/2)*t) + 6*2^(1/2)*t*cos(2^(1/2)*t)))/18) +... 2^(1/2)*exp(t)*sin(2^(1/2)*t)*(C1 - (exp(-t)*(4*cos(2^(1/2)*t) -... 2^(1/2)*sin(2^(1/2)*t) + 6*t*cos(2^(1/2)*t) - 6*2^(1/2)*t*sin(2^(1/2)*t)))/18) ySol(t) = exp(t)*cos(2^(1/2)*t)*(C1 - (exp(-t)*(4*cos(2^(1/2)*t) -... 2^(1/2)*sin(2^(1/2)*t) + 6*t*cos(2^(1/2)*t) -... 6*2^(1/2)*t*sin(2^(1/2)*t)))/18) - exp(t)*sin(2^(1/2)*t)*(C2 +... (exp(-t)*(4*sin(2^(1/2)*t) + 2^(1/2)*cos(2^(1/2)*t) +... 6*t*sin(2^(1/2)*t) + 6*2^(1/2)*t*cos(2^(1/2)*t)))/18)

Simplify the solution by using `simplify`

.

xSol(t) = simplify(xSol(t)) ySol(t) = simplify(ySol(t))

xSol(t) = (2*t)/3 + 2^(1/2)*C2*exp(t)*cos(2^(1/2)*t) + 2^(1/2)*C1*exp(t)*sin(2^(1/2)*t) + 1/9 ySol(t) = C1*exp(t)*cos(2^(1/2)*t) - t/3 - C2*exp(t)*sin(2^(1/2)*t) - 2/9

To find the value of constants, specify initial conditions.
When specifying equations in matrix form, you must specify initial
conditions in matrix form too. Otherwise, `dsolve`

throws
an error.

Specify initial conditions `f(0) == 2`

and ```
g(0)
== -1
```

in matrix form, and solve the equations. `dsolve`

replaces
the constants with their values.

C = Y(0) == [2; -1]; [xSol(t) ySol(t)] = dsolve(eqn, C)

xSol(t) = (2*t)/3 + (17*exp(t)*cos(2^(1/2)*t))/9 - (7*2^(1/2)*exp(t)*sin(2^(1/2)*t))/9 + 1/9 ySol(t) = - t/3 - (7*exp(t)*cos(2^(1/2)*t))/9 - (17*2^(1/2)*exp(t)*sin(2^(1/2)*t))/18 - 2/9

Visualize the solutions by using `fplot`

.

clf fplot(ySol) hold on fplot(xSol) grid on legend('ySol','xSol','Location','best')

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