Why ODE Linear? Initial Value Problem Explanation

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In summary, the conversation discusses initial value problems for ordinary differential equations, where a function is sought after to satisfy a given differential equation and initial value. In the special case of linear ODEs, the function is linear in both y and its derivatives, regardless of the constant term present in the equation.
  • #1
evinda
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Hello! (Wave)

I am looking at initial value problems for ordinary differential equations.Let $a,b, \ a<b, \ f: [a,b] \times \mathbb{R} \to \mathbb{R}$ function and $y_0 \in \mathbb{R}$.We are looking for a $y: [a,b] \to \mathbb{R}$ such that$$(1)\left\{\begin{matrix}
y'(t)=f(t,y(t))\\
y(a)=y_0
\end{matrix}\right.$$Each function $y \in C^{1}[a,b]$ that satisfies the differential equation of $(1)$ and the initial value $y(a)=y_0$ is called solution of the initial value problem $(1)$.Special caseLet $f$ be a polynomial of degree $1$ as for $y$. Then the corresponding ODE is called linear, and the problem $(1)$ is written as:$$(2)\left\{\begin{matrix}
y'(t)=p(t)y(t)+q(t), a \leq t \leq b\\
y(a)=y_0
\end{matrix}\right.$$It holds that $deg_y q(t)< deg_y y(t)=1 \Rightarrow q(y)=\text{ constant }$, right?

But, if so then why is in this case the ODE linear? (Thinking)
 
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  • #2
evinda said:
...
It holds that $deg_y q(t)< deg_y y(t)=1 \Rightarrow q(y)=\text{ constant }$, right?

But, if so then why is in this case the ODE linear? (Thinking)
No. It is true that
degy q(t)< degy y(t)
But if
q(t) = et2
the degy q(t) = 0 which is less than 1.

Also the linearity of the ODE has nothing to do with q. If the exponent for y and all of the derivative in the ODE [y, y', y'', y''', ...] are 1, then the ODE is called linear. That is, it is linear in y and its derivatives.
 
  • #3
John Harris said:
No. It is true that
degy q(t)< degy y(t)
But if
q(t) = et2
the degy q(t) = 0 which is less than 1.

Also the linearity of the ODE has nothing to do with q. If the exponent for y and all of the derivative in the ODE [y, y', y'', y''', ...] are 1, then the ODE is called linear. That is, it is linear in y and its derivatives.

Nice! Thank you! (Smile)
 

Related to Why ODE Linear? Initial Value Problem Explanation

1. What is an ODE Linear Initial Value Problem?

An ODE (Ordinary Differential Equation) Linear Initial Value Problem is a type of mathematical problem that involves finding a function that satisfies a given differential equation, along with an initial condition. The initial condition specifies the value of the function at a particular point in the domain.

2. Why is it important to study ODE Linear Initial Value Problems?

ODE Linear Initial Value Problems have numerous applications in fields such as physics, engineering, and economics. They are used to model real-world phenomena and make predictions about their behavior. Understanding these problems is crucial for solving complex mathematical models and making accurate predictions.

3. What makes an ODE Linear?

An ODE is considered linear if it can be written in the form of a linear combination of the dependent variable and its derivatives. This means that the dependent variable and its derivatives appear only to the first power, and there are no products or compositions of these terms.

4. Can you explain the steps involved in solving an ODE Linear Initial Value Problem?

To solve an ODE Linear Initial Value Problem, you first need to identify the type of equation and its order. Then, you can use various techniques such as separation of variables, integrating factors, or substitution to find the general solution. Next, use the initial condition to determine the particular solution. Finally, check your solution by plugging it back into the original equation.

5. Are there any software or tools available for solving ODE Linear Initial Value Problems?

Yes, there are several software and tools available for solving ODE Linear Initial Value Problems, such as MATLAB, Wolfram Alpha, and Maple. These tools use advanced algorithms and numerical methods to find solutions to complex ODEs and provide accurate results. However, it is essential to have a solid understanding of the problem and the mathematical concepts involved before using these tools.

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