Differential Equations - IVP's With Step Functions (2024)

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Section 4.7 : IVP's With Step Functions

In this section we will use Laplace transforms to solve IVP’s which contain Heaviside functions in the forcing function. This is where Laplace transform really starts to come into its own as a solution method.

To work these problems we’ll just need to remember the following two formulas,

\[\begin{align*}\mathcal{L}\left\{ {{u_c}\left( t \right)f\left( {t - c} \right)} \right\} & = {{\bf{e}}^{ - c\,s}}F\left( s \right) & & {\mbox{where }}F\left( s \right) = \mathcal{L}\left\{ {f\left( t \right)} \right\}\\ {\mathcal{L}^{\, - 1}}\left\{ {{{\bf{e}}^{ - c\,s}}F\left( s \right)} \right\} & = {u_c}\left( t \right)f\left( {t - c} \right) & & {\mbox{where }}f\left( t \right) = {\mathcal{L}^{\, - 1}}\left\{ {F\left( s \right)} \right\}\end{align*}\]

In other words, we will always need to remember that in order to take the transform of a function that involves a Heaviside we’ve got to make sure the function has been properly shifted.

Let’s work an example.

Example 1 Solve the following IVP. \[y'' - y' + 5y = 4 + {u_2}\left( t \right){{\bf{e}}^{4 - 2t}},\hspace{0.25in}y\left( 0 \right) = 2\,\,\,\,\,\,\,\,y'\left( 0 \right) = - 1\]

Show Solution

First let’s rewrite the forcing function to make sure that it’s being shifted correctly and to identify the function that is actually being shifted.

\[y'' - y' + 5y = 4 + {u_2}\left( t \right){{\bf{e}}^{ - 2\left( {t - 2} \right)}}\]

So, it is being shifted correctly and the function that is being shifted is \({{\bf{e}}^{ - 2t}}\). Taking the Laplace transform of everything and plugging in the initial conditions gives,

\[\begin{align*}{s^2}Y\left( s \right) - sy\left( 0 \right) - y'\left( 0 \right) - \left( {sY\left( s \right) - y\left( 0 \right)} \right) + 5Y\left( s \right) & = \frac{4}{s} + \frac{{{{\bf{e}}^{ - 2s}}}}{{s + 2}}\\ \left( {{s^2} - s + 5} \right)Y\left( s \right) - 2s + 3 & = \frac{4}{s} + \frac{{{{\bf{e}}^{ - 2s}}}}{{s + 2}}\end{align*}\]

Now solve for \(Y(s)\).

\[\begin{align*}\left( {{s^2} - s + 5} \right)Y\left( s \right) & = \frac{4}{s} + \frac{{{{\bf{e}}^{ - 2s}}}}{{s + 2}} + 2s - 3\\ \left( {{s^2} - s + 5} \right)Y\left( s \right) & = \frac{{2{s^2} - 3s + 4}}{s} + \frac{{{{\bf{e}}^{ - 2s}}}}{{s + 2}}\\ Y\left( s \right) & = \frac{{2{s^2} - 3s + 4}}{{s\left( {{s^2} - s + 5} \right)}} + {{\bf{e}}^{ - 2s}}\frac{1}{{\left( {s + 2} \right)\left( {{s^2} - s + 5} \right)}}\\ Y\left( s \right) & = F\left( s \right) + {{\bf{e}}^{ - 2s}}G\left( s \right)\end{align*}\]

Notice that we combined a couple of terms to simplify things a little. Now we need to partial fraction \(F(s)\) and \(G(s)\). We’ll leave it to you to check the details of the partial fractions.

\[\begin{align*}F\left( s \right) & = \frac{{2{s^2} - 3s + 4}}{{s\left( {{s^2} - s + 5} \right)}} = \frac{1}{5}\left( {\frac{4}{s} + \frac{{6s - 11}}{{{s^2} - s + 5}}} \right)\\ G\left( s \right) & = \frac{1}{{\left( {s + 2} \right)\left( {{s^2} - s + 5} \right)}} = \frac{1}{{11}}\left( {\frac{1}{{s + 2}} - \frac{{s - 3}}{{{s^2} - s + 5}}} \right)\end{align*}\]

We now need to do the inverse transforms on each of these. We’ll start with \(F(s)\).

\[\begin{align*}F\left( s \right) & = \frac{1}{5}\left( {\frac{4}{s} + \frac{{6\left( {s - \frac{1}{2} + \frac{1}{2}} \right) - 11}}{{{{\left( {s - \frac{1}{2}} \right)}^2} + \frac{{19}}{4}}}} \right)\\ & = \frac{1}{5}\left( {\frac{4}{s} + \frac{{6\left( {s - \frac{1}{2}} \right)}}{{{{\left( {s - \frac{1}{2}} \right)}^2} + \frac{{19}}{4}}} - \frac{{8\frac{{\sqrt {19} }}{2}\frac{2}{{\sqrt {19} }}}}{{{{\left( {s - \frac{1}{2}} \right)}^2} + \frac{{19}}{4}}}} \right)\\ f\left( t \right) & = \frac{1}{5}\left( {4 + 6{{\bf{e}}^{\frac{t}{2}}}\cos \left( {\frac{{\sqrt {19} }}{2}t} \right) - \frac{{16}}{{\sqrt {19} }}{{\bf{e}}^{\frac{t}{2}}}\sin \left( {\frac{{\sqrt {19} }}{2}t} \right)} \right)\end{align*}\]

Now \(G(s)\).

\[\begin{align*}G\left( s \right) & = \frac{1}{{11}}\left( {\frac{1}{{s + 2}} - \frac{{s - \frac{1}{2} + \frac{1}{2} - 3}}{{{{\left( {s - \frac{1}{2}} \right)}^2} + \frac{{19}}{4}}}} \right)\\ & = \frac{1}{{11}}\left( {\frac{1}{{s + 2}} - \frac{{s - \frac{1}{2}}}{{{{\left( {s - \frac{1}{2}} \right)}^2} + \frac{{19}}{4}}} + \frac{{\frac{5}{2}\frac{{\sqrt {19} }}{{\sqrt {19} }}}}{{{{\left( {s - \frac{1}{2}} \right)}^2} + \frac{{19}}{4}}}} \right)\\ g\left( t \right) & = \frac{1}{{11}}\left( {{{\bf{e}}^{ - 2t}} - {{\bf{e}}^{\frac{t}{2}}}\cos \left( {\frac{{\sqrt {19} }}{2}t} \right) + \frac{5}{{\sqrt {19} }}{{\bf{e}}^{\frac{t}{2}}}\sin \left( {\frac{{\sqrt {19} }}{2}t} \right)} \right)\end{align*}\]

Okay, we can now get the solution to the differential equation. Starting with the transform we get,

\[\begin{align*}Y\left( s \right) & = F\left( s \right) + {{\bf{e}}^{ - 2s}}G\left( s \right)\\ y\left( t \right) & = f\left( t \right) + {u_2}\left( t \right)g\left( {t - 2} \right)\end{align*}\]

where \(f(t)\) and \(g(t)\) are the functions shown above.

There can be a fair amount of work involved in solving differential equations that involve Heaviside functions.

Let’s take a look at another example or two.

Example 2 Solve the following IVP. \[y'' - y' = \cos \left( {2t} \right) + \cos \left( {2t - 12} \right){u_6}\left( t \right)\quad \quad y\left( 0 \right) = - 4,\;y'\left( 0 \right) = 0\]

Show Solution

Let’s rewrite the differential equation so we can identify the function that is actually being shifted.

\[y'' - y' = \cos \left( {2t} \right) + \cos \left( {2\left( {t - 6} \right)} \right){u_6}\left( t \right)\]

So, the function that is being shifted is \(\cos \left( {2t} \right)\) and it is being shifted correctly. Taking the Laplace transform of everything and plugging in the initial conditions gives,

\[\begin{align*}{s^2}Y\left( s \right) - sy\left( 0 \right) - y'\left( 0 \right) - \left( {sY\left( s \right) - y\left( 0 \right)} \right) & = \frac{s}{{{s^2} + 4}} + \frac{{s{{\bf{e}}^{ - 6s}}}}{{{s^2} + 4}}\\ \left( {{s^2} - s} \right)Y\left( s \right) + 4s - 4 & = \frac{s}{{{s^2} + 4}} + \frac{{s{{\bf{e}}^{ - 6s}}}}{{{s^2} + 4}}\end{align*}\]

Now solve for \(Y(s)\).

\[\begin{align*}\left( {{s^2} - s} \right)Y\left( s \right) & = \frac{{s + s{{\bf{e}}^{ - 6s}}}}{{{s^2} + 4}} - 4s + 4\\ Y\left( s \right) & = \frac{{s\left( {1 + {{\bf{e}}^{ - 6s}}} \right)}}{{s\left( {s - 1} \right)\left( {{s^2} + 4} \right)}} - 4\frac{{s - 1}}{{s\left( {s - 1} \right)}}\\ & = \frac{{1 + {{\bf{e}}^{ - 6s}}}}{{\left( {s - 1} \right)\left( {{s^2} + 4} \right)}} - \frac{4}{s}\\ Y\left( s \right) & = \left( {1 + {{\bf{e}}^{ - 6s}}} \right)F\left( s \right) - \frac{4}{s}\end{align*}\]

Notice that we combined the first two terms to simplify things a little. Also, there was some canceling going on in this one. Do not expect that to happen on a regular basis. We now need to partial fraction \(F(s)\). We’ll leave the details to you to check.

\[\begin{align*}F\left( s \right) & = \frac{1}{{\left( {s - 1} \right)\left( {{s^2} + 4} \right)}} = \frac{1}{5}\left( {\frac{1}{{s - 1}} - \frac{{s + 1}}{{{s^2} + 4}}} \right)\\ f\left( t \right) & = \frac{1}{5}\left( {{{\bf{e}}^t} - \cos \left( {2t} \right) - \frac{1}{2}\sin \left( {2t} \right)} \right)\end{align*}\]

Okay, we can now get the solution to the differential equation. Starting with the transform we get,

\[\begin{align*}Y\left( s \right) & = F\left( s \right) + F\left( s \right){{\bf{e}}^{ - 6s}} - \frac{4}{s}\\ y\left( t \right) & = f\left( t \right) + {u_6}\left( t \right)f\left( {t - 6} \right) - 4\end{align*}\]

where \(f(t)\) is given above.

Example 3 Solve the following IVP. \[y'' - 5y' - 14y = 9 + {u_3}\left( t \right) + 4\left( {t - 1} \right){u_1}\left( t \right)\quad \quad y\left( 0 \right) = 0,\;y'\left( 0 \right) = 10\]

Show Solution

Let’s take the Laplace transform of everything and note that in the third term we are shifting 4\(t\).

\[\begin{align*}{s^2}Y\left( s \right) - sy\left( 0 \right) - y'\left( 0 \right) - 5\left( {sY\left( s \right) - y\left( 0 \right)} \right) - 14Y\left( s \right) & = \frac{9}{s} + \frac{{{{\bf{e}}^{ - 3s}}}}{s} + 4\frac{{{{\bf{e}}^{ - s}}}}{{{s^2}}}\\ \left( {{s^2} - 5s - 14} \right)Y\left( s \right) - 10 & = \frac{{9 + {{\bf{e}}^{ - 3s}}}}{s} + 4\frac{{{{\bf{e}}^{ - s}}}}{{{s^2}}}\end{align*}\]

Now solve for \(Y(s)\).

\[\begin{align*}\left( {{s^2} - 5s - 14} \right)Y\left( s \right) - 10 & = \frac{{9 + {{\bf{e}}^{ - 3s}}}}{s} + 4\frac{{{{\bf{e}}^{ - s}}}}{{{s^2}}}\\ Y\left( s \right) & = \frac{{9 + {{\bf{e}}^{ - 3s}}}}{{s\left( {s - 7} \right)\left( {s + 2} \right)}} + \frac{{4{{\bf{e}}^{ - s}}}}{{{s^2}\left( {s - 7} \right)\left( {s + 2} \right)}} + \frac{{10}}{{\left( {s - 7} \right)\left( {s + 2} \right)}}\\ Y\left( s \right) & = \left( {9 + {{\bf{e}}^{ - 3s}}} \right)F\left( s \right) + 4{{\bf{e}}^{ - s}}G\left( s \right) + H\left( s \right)\end{align*}\]

So, we have three functions that we’ll need to partial fraction for this problem. I’ll leave it to you to check the details.

\[\begin{align*}F\left( s \right) & = \frac{1}{{s\left( {s - 7} \right)\left( {s + 2} \right)}} = - \frac{1}{{14}}\frac{1}{s} + \frac{1}{{63}}\frac{1}{{s - 7}} + \frac{1}{{18}}\frac{1}{{s + 2}}\\ f\left( t \right) & = - \frac{1}{{14}} + \frac{1}{{63}}{{\bf{e}}^{7t}} + \frac{1}{{18}}{{\bf{e}}^{ - 2t}}\end{align*}\] \[\begin{align*}G\left( s \right) & = \frac{1}{{{s^2}\left( {s - 7} \right)\left( {s + 2} \right)}} = \frac{5}{{196}}\frac{1}{s} - \frac{1}{{14}}\frac{1}{{{s^2}}} + \frac{1}{{441}}\frac{1}{{s - 7}} - \frac{1}{{36}}\frac{1}{{s + 2}}\\ g\left( t \right) & = \frac{5}{{196}} - \frac{1}{{14}}t + \frac{1}{{441}}{{\bf{e}}^{7t}} - \frac{1}{{36}}{{\bf{e}}^{ - 2t}}\end{align*}\] \[\begin{align*}H\left( s \right) & = \frac{{10}}{{\left( {s - 7} \right)\left( {s + 2} \right)}} = \frac{{10}}{9}\frac{1}{{s - 7}} - \frac{{10}}{9}\frac{1}{{s + 2}}\\ h\left( t \right) & = \frac{{10}}{9}{{\bf{e}}^{7t}} - \frac{{10}}{9}{{\bf{e}}^{ - 2t}}\end{align*}\]

Okay, we can now get the solution to the differential equation. Starting with the transform we get,

\[\begin{align*}Y\left( s \right) & = 9F\left( s \right) + {{\bf{e}}^{ - 3s}}F\left( s \right) + 4{{\bf{e}}^{ - s}}G\left( s \right) + H\left( s \right)\\ y\left( t \right) & = 9f\left( t \right) + {u_3}\left( t \right)f\left( {t - 3} \right) + 4{u_1}\left( t \right)g\left( {t - 1} \right) + h\left( t \right)\end{align*}\]

where \(f(t)\), \(g(t)\) and \(h(t)\) are given above.

Let’s work one more example.

Example 4 Solve the following IVP. \[y'' + 3y' + 2y = g\left( t \right),\hspace{0.25in}y\left( 0 \right) = 0\,\,\,\,\,\,\,\,y'\left( 0 \right) = - 2\]

where,

\[g\left( t \right) = \left\{ {\begin{array}{*{20}{l}}2&{\hspace{0.25in}t < 6}\\t&{\hspace{0.25in}6 \le t < 10}\\4&{\hspace{0.25in}t \ge 10}\end{array}} \right.\]

Show Solution

The first step is to get \(g(t)\) written in terms of Heaviside functions so that we can take the transform.

\[g\left( t \right) = 2 + \left( {t - 2} \right){u_6}\left( t \right) + \left( {4 - t} \right){u_{10}}\left( t \right)\]

Now, while this is \(g(t)\) written in terms of Heaviside functions it is not yet in proper form for us to take the transform. Remember that each function must be shifted by a proper amount. So, getting things set up for the proper shifts gives us,

\[\begin{align*}g\left( t \right) & = 2 + \left( {t - 6 + 6 - 2} \right){u_6}\left( t \right) + \left( {4 - \left( {t - 10 + 10} \right)} \right){u_{10}}\left( t \right)\\ g\left( t \right) & = 2 + \left( {t - 6 + 4} \right){u_6}\left( t \right) + \left( { - 6 - \left( {t - 10} \right)} \right){u_{10}}\left( t \right)\end{align*}\]

So, for the first Heaviside it looks like \(f\left( t \right) = t + 4\) is the function that is being shifted and for the second Heaviside it looks like \(f\left( t \right) = - 6 - t\) is being shifted.

Now take the Laplace transform of everything and plug in the initial conditions.

\[\begin{align*}{s^2}Y\left( s \right) - sy\left( 0 \right) - y'\left( 0 \right) + 3\left( {sY\left( s \right) - y\left( 0 \right)} \right) + 2Y\left( s \right) & = \frac{2}{s} + {{\bf{e}}^{ - 6s}}\left( {\frac{1}{{{s^2}}} + \frac{4}{s}} \right) - {{\bf{e}}^{ - 10s}}\left( {\frac{1}{{{s^2}}} + \frac{6}{s}} \right)\\ \left( {{s^2} + 3s + 2} \right)Y\left( s \right) + 2 & = \frac{2}{s} + {{\bf{e}}^{ - 6s}}\left( {\frac{1}{{{s^2}}} + \frac{4}{s}} \right) - {{\bf{e}}^{ - 10s}}\left( {\frac{1}{{{s^2}}} + \frac{6}{s}} \right)\end{align*}\]

Solve for \(Y(s)\).

\[\begin{align*}\left( {{s^2} + 3s + 2} \right)Y\left( s \right) & = \frac{2}{s} + {{\bf{e}}^{ - 6s}}\left( {\frac{1}{{{s^2}}} + \frac{4}{s}} \right) - {{\bf{e}}^{ - 10s}}\left( {\frac{1}{{{s^2}}} + \frac{6}{s}} \right) - 2\\ \left( {{s^2} + 3s + 2} \right)Y\left( s \right) & = \frac{{2 + 4{{\bf{e}}^{ - 6s}} - 6{{\bf{e}}^{ - 10s}}}}{s} + \frac{{{{\bf{e}}^{ - 6s}} - {{\bf{e}}^{ - 10s}}}}{{{s^2}}} - 2\\ Y\left( s \right) & = \frac{{2 + 4{{\bf{e}}^{ - 6s}} - 6{{\bf{e}}^{ - 10s}}}}{{s\left( {s + 1} \right)\left( {s + 2} \right)}} + \frac{{{{\bf{e}}^{ - 6s}} - {{\bf{e}}^{ - 10s}}}}{{{s^2}\left( {s + 1} \right)\left( {s + 2} \right)}} - \frac{2}{{\left( {s + 1} \right)\left( {s + 2} \right)}}\\ & \\ Y\left( s \right) & = \left( {2 + 4{{\bf{e}}^{ - 6s}} - 6{{\bf{e}}^{ - 10s}}} \right)F\left( s \right) + \left( {{{\bf{e}}^{ - 6s}} - {{\bf{e}}^{ - 10s}}} \right)G\left( s \right) - H\left( s \right)\end{align*}\]

Now, in the solving process we simplified things into as few terms as possible. Even doing this, it looks like we’ll still need to do three partial fractions.

We’ll leave the details of the partial fractioning to you to verify. The partial fraction form and inverse transform of each of these are.

\[\begin{align*}F\left( s \right) & = \frac{1}{{s\left( {s + 1} \right)\left( {s + 2} \right)}} = \frac{{\frac{1}{2}}}{s} - \frac{1}{{s + 1}} + \frac{{\frac{1}{2}}}{{s + 2}}\\ f\left( t \right) & = \frac{1}{2} - {{\bf{e}}^{ - t}} + \frac{1}{2}{{\bf{e}}^{ - 2t}}\end{align*}\] \[\begin{align*}G\left( s \right) & = \frac{1}{{{s^2}\left( {s + 1} \right)\left( {s + 2} \right)}} = - \frac{{\frac{3}{4}}}{s} + \frac{{\frac{1}{2}}}{{{s^2}}} + \frac{1}{{s + 1}} - \frac{{\frac{1}{4}}}{{s + 2}}\\ g\left( t \right) & = - \frac{3}{4} + \frac{1}{2}t + {{\bf{e}}^{ - t}} - \frac{1}{4}{{\bf{e}}^{ - 2t}}\end{align*}\] \[\begin{align*}H\left( s \right) & = \frac{2}{{\left( {s + 1} \right)\left( {s + 2} \right)}} = \frac{2}{{s + 1}} - \frac{2}{{s + 2}}\\ h\left( t \right) & = 2{{\bf{e}}^{ - t}} - 2{{\bf{e}}^{ - 2t}}\end{align*}\]

Putting this all back together is going to be a little messy. First rewrite the transform a little to make the inverse transform process possible.

\[Y\left( s \right) = 2F\left( s \right) + {{\bf{e}}^{ - 6s}}\left( {4F\left( s \right) + G\left( s \right)} \right) - {{\bf{e}}^{ - 10s}}\left( {6F\left( s \right) + G\left( s \right)} \right) - H\left( s \right)\]

Now, taking the inverse transform of all the pieces gives us the final solution to the IVP.

\[y\left( t \right) = 2f\left( t \right) - h\left( t \right) + {u_6}\left( t \right)\left( {4f\left( {t - 6} \right) + g\left( {t - 6} \right)} \right) - {u_{10}}\left( t \right)\left( {6f\left( {t - 10} \right) + g\left( {t - 10} \right)} \right)\]

where \(f(t)\), \(g(t)\), and \(h(t)\) are defined above.

So, the answer to this example is a little messy to write down, but overall the work here wasn’t too terribly bad.

Before proceeding with the next section let’s see how we would have had to solve this IVP if we hadn’t had Laplace transforms. To solve this IVP we would have had to solve three separate IVP’s. One for each portion of \(g(t)\). Here is a list of the IVP’s that we would have had to solve.

  1. \(0 < t < 6\) \[y'' + 3y' + 2y = 2,\hspace{0.25in}y\left( 0 \right) = 0\,\,\,\,\,\,\,\,y'\left( 0 \right) = - 2\]

    The solution to this IVP, with some work, can be made to look like,

    \[{y_1}\left( t \right) = 2f\left( t \right) - h\left( t \right)\]
  2. \(6 \le t < 10\) \[y'' + 3y' + 2y = t,\hspace{0.25in}y\left( 6 \right) = {y_1}\left( 6 \right)\,\,\,\,\,\,\,\,y'\left( 6 \right) = {y'_1}\left( 6 \right)\]

    where, \(y_{1}(t)\) is the solution to the first IVP. The solution to this IVP, with some work, can be made to look like,

    \[{y_2}\left( t \right) = 2f\left( t \right) - h\left( t \right) + 4f\left( {t - 6} \right) + g\left( {t - 6} \right)\]
  3. \(t \ge 10\) \[y'' + 3y' + 2y = 4,\hspace{0.25in}y\left( {10} \right) = {y_2}\left( {10} \right)\,\,\,\,\,\,\,\,y'\left( {10} \right) = {y'_2}\left( {10} \right)\]

    where, \(y_{2}(t)\) is the solution to the second IVP. The solution to this IVP, with some work, can be made to look like,

    \[{y_3}\left( t \right) = 2f\left( t \right) - h\left( t \right) + 4f\left( {t - 6} \right) + g\left( {t - 6} \right) - 6f\left( {t - 10} \right) - g\left( {t - 10} \right)\]

There is a considerable amount of work required to solve all three of these and in each of these the forcing function is not that complicated. Using Laplace transforms saved us a fair amount of work.

Differential Equations - IVP's With Step Functions (2024)

FAQs

What is the IVP of a differential equation? ›

In multivariable calculus, an initial value problem (IVP) is an ordinary differential equation together with an initial condition which specifies the value of the unknown function at a given point in the domain. Modeling a system in physics or other sciences frequently amounts to solving an initial value problem.

What is the equation for a stepwise function? ›

The equation for the basic form of a step function is f ( x ) = ⌊ x ⌋ . In many cases, the brackets around the x represent the greatest integer function or floor function. The greatest integer function is a function that results in the integer part of the given real number.

What is the derivative of a step function? ›

Derivative of Step Function

The function works for all the levels except for the case of t =0. Hence the derivative of the step function becomes zero for all values of t. However, it becomes infinite when t = 0. In the unit step function, its derivative is known as an impulse function.

What is the application of Heaviside function? ›

The Heaviside function is often used in combination with the level-set function of a geometric object. By substituting the level-set function. (2.32), a mapping H:Φ → {0,1} is obtained to compress the level-set function into a characteristic function H(Φ), as shown in Fig. 2.14.

What is an example of an IVP? ›

y + y + y = f(t) y(a) = α y(b) = β t ∈[a, b], where we have both right and left hand boundary conditions on y. One simple example of an IVP would be a differential equation modeling the path of a ball thrown in the air where the initial position (y(a)) and final position (y(b)). cos t - 9y1 ] .

What is an example of a step function equation? ›

Another very simple example of a step function is the heaviside step function, which is also known as the unit step function and is used in engineering and in the study of electric currents. This function, denoted by H, is a function defined as follows: If x < 0, then H(x) = 0. If x = 0, then H(x) = 1/2.

What is the general formula for a step function? ›

A function f: R → R is called a step or greatest integer function if y = f(x) = [x] for x ∈ R.

How do you tell if a step function is a function? ›

In mathematics, a function on the real numbers is called a step function if it can be written as a finite linear combination of indicator functions of intervals. Informally speaking, a step function is a piecewise constant function having only finitely many pieces.

What is the rule for step functions? ›

It is useful here to define the integer component of a number. The integer part of a number, denoted [x], is the unique integer such that [x]≤x<[x]+1. [ x ] ≤ x < [ x ] + 1.

Can a step function be differentiable? ›

Step functions and delta functions are not differentiable in the usual sense, but they do have what we call generalized derivatives. In fact, as a generalized derivative we have u (t) = δ(t).

Is step function even or odd? ›

If the 'step ' graph is symmetric w.r the y axis it is an even function. If it is symmetric w.r.t the origin it is odd.

What is the integral of a step function? ›

For a step function we define the integral to be ∫baf(x)dx=N∑i=1f(xi−1)(xi−xi−1).

What is the difference between step function and delta function? ›

The delta function is the formal equivalent of the derivative of the step (or Heaviside) function. The step function H(t-t') when multiplied by a smooth function f(t) cuts off all values of f for t < t'.

What is IVP and BVP in differential equations? ›

We can solve the system of four first order ordinary differential equations (10.17) to (10.20) as an initial value problem (IVP), where all four boundary conditions are given at one point, or as a boundary value problem (BVP), where four boundary conditions are specified at two distinct points.

What is the integrating factor of the given differential equation? ›

Integrating factor is defined as the function which is selected in order to solve the given differential equation. It is most commonly used in ordinary linear differential equations of the first order. Where P(x) (the function of x) is a multiple of y and μ denotes integrating factor.

What is the initial value system of a differential equation? ›

In differential equations, initial value problem is often abbreviated IVP. An IVP is a differential equation together with a place for a solution to start, called the initial value. IVPs are often written y ′ = f ( x , y ) y ( a ) = b where is the point the solution must go through.

What is the exact differential equation integrating factor? ›

Exact Differential Equation Integrating Factor

If the differential equation P (x, y) dx + Q (x, y) dy = 0 is not exact, it is possible to make it exact by multiplying using a relevant factor u(x, y) which is known as integrating factor for the given differential equation.

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