When to use certain methods to differentiate

In summary, when solving differential equations, it is sometimes helpful to use series solutions and laplace transforms, but it is not always necessary. Additionally, when solving systems of differential equations, it is often helpful to be given initial conditions. When solving second order differential equations, it is sometimes useful to use eigenvalues and eigenvectors to find the general solution. However, it is never necessary to use the Laplace transform.
  • #1
drsmoothe2004
7
0
i have a final coming up on wednesday and my professor will post 8 different differential equations without telling us which method to use. i want to know (generally speaking of course) which method would work for certain types of second order differential equations. for instance, judicious guessing is used to solve inhomogeneous 2nd order linear differential equations and variation of parameters is used to solve non constant coefficient inhomogeneous 2nd order linear differential equations.

1. my question is when should i be using series solutions and laplace transform to solve differential equations?

2. when using laplace transform to solve equations, is it crucial to be given initial conditions as well?

3. when solving systems of differential equations using matrices and eigenvalues, how to i put a equation into the form of [tex]\dot{x}[/tex] = (matrix A) multiplied by vector x and when will i know when to use this method? i would have to be given 2 differential equations correct?

4. last question: can someone explain the idea of the heavyside function with a shift at f(t)(t-t0). i just don't quite get this whole shifting at f(t). and how to convert a piecewise function into the heavyside function?

examples of each would be excellent, and i just wanted to say thank you for taking the time to answer these questions. i find it in that many texts focus on what methods to use, but not enough focus on when to apply them.
 
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  • #2
1. Laplace transforms can only be used to solve linear equations with constant coefficients. Series solutions work for linear equations with variable coefficients.

2. Not necessarily. If you are not given y(a) or y'(a), leave them as unknown constants. After you have used Laplace transform to find the solution use whatever other conditions you are given to to determine those constants.

3. Are you thinking specifically of 2 by 2 matrices? n first order linear differential equations can be written as an n by n matrix equation with each row of the matrix corresponding to one equation. Also a single nth order linear differential equation can be written as system of n equations by introducing new variables for the first, second, ..., n-1 derivatives.

4. I don't know what you mean by "shift at f(t)(t- t0". H(t) is defined as the function that is 0 for t< 0 and 1 for [itex]0\le t[/itex]. H(t-t0[/sub]) is 0 for t< t0 and 1 for [itex]t0\le t[/itex].

To write a piecewise defined function as a sum of Heaviside functions, work from the left to the right. For example, suppose f(x) is defined to be [itex]x^2[/itex] for [itex]x\le 0[/itex], 1 for [itex]0< x\le 1[/itex], 2x for 1< x.

Since we want [itex]f(x)= x^2[/itex] for [itex]x\le 0[/itex] we start from that, without any Heaviside function. For 0< x, we want f(x)= 1. We can get that by just 1H(x) but if we just wrote [itex]f(x)= x^2+ H(x)[/itex] we would still have that "[itex]x^2[/itex]" so we have to subtract that off: [itex]f(x)= x^2+ (1- x^2)H(0)[/itex]. Now, for 1< x we want f(x)= 2x so we have to add 2xH(x-1). But, we still have to subtract off the "1" we just added: [itex]f(x)= x^2+ (1- x^2)H(x)+ (2x- 1)H(x-1)[/itex]. For each step, you have to subtract off the previous step.

Look what happens: if [itex]x\le 0[/itex] both H(x) and H(x-1) are 0 so [itex]f(x)= x^2[/itex]. If [itex]0< x\le 1[/itex] H(x)= 1 but H(x-1) is still 0: [itex]f(x)= x^2+ (1- x^2)= 1[/itex]. Finally, if [1< x both H(x) and H(x-1) are 1: [itex]f(x)= x^2+ (1- x^2)+ (2x- 1)= 2x[/itex].
 
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  • #3
when would it be wise to use eigenvalues and eigenvectors to solve differential equations?

i have a feeling for my exam, we will not be given a problem in matrix form such as

[tex]\dot{x}[/tex] = [1 2]
...[3 2] (2x2 matrix) multiplied by the vector x

but rather we will be given an equation such as 2y''-5y'+5=0

how does one know when to use laplace transform to solve such equations instead of solving for eigenvalues and eigenvectors to finding the general solution to the problem?
 
  • #4
It is never necessary to use the Laplace transform and I consider it a waste of time. You should be able to take a problem like 2y"- 5y'+ 5= 0, write down its characteristic equation by sight, solve thatm, and immediately write the general solution.
 
  • #5
so, just to clarify, there is no specific time to use eigenvalues or vectors to solve second order differential equations?
 

FAQ: When to use certain methods to differentiate

When should I use qualitative methods to differentiate?

Qualitative methods should be used when the research question involves exploring complex social phenomena, understanding the perspectives of individuals, or when there is limited existing knowledge on the topic. These methods are often used in the early stages of research to generate new ideas and hypotheses.

When is it appropriate to use quantitative methods to differentiate?

Quantitative methods are best suited for research questions that involve measuring and analyzing numerical data. These methods are often used to test hypotheses, identify patterns and relationships, and make statistical inferences.

How do I decide between using primary or secondary data for differentiation?

The decision between using primary or secondary data depends on the research question and the availability of data. Primary data is collected directly from the source, while secondary data is collected from existing sources. Primary data is typically more specific and tailored to the research question, but can be more time-consuming and costly to collect. Secondary data is readily available and can save time and resources, but may not be as specific to the research question.

Can I use a combination of methods to differentiate?

A combination of methods, known as mixed methods, can be used to differentiate in certain research projects. This approach involves using both qualitative and quantitative methods to gather and analyze data. It can provide a more comprehensive understanding of the research question and can help triangulate the findings.

How can I ensure the validity of my differentiation methods?

To ensure the validity of differentiation methods, it is important to carefully plan and design the research study. This includes clearly defining the research question, selecting appropriate methods, and using reliable and valid measures. It is also important to consider potential biases and limitations of the chosen methods and to use multiple methods to gather data for triangulation.

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