1.2.1 - Method
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Interactive Audio Lesson
Listen to a student-teacher conversation explaining the topic in a relatable way.
Introduction to Partial Differential Equations (PDEs)
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Today, we will delve into Partial Differential Equations or PDEs. Does anyone know what a PDE is?
A PDE is an equation involving partial derivatives of a function!
Exactly! PDEs involve partial derivatives of multivariable functions. They often model various phenomena in physics and engineering. Can anyone name a field where PDEs might be used?
Fluid dynamics, right?
Great example! Now, let's move on to how we can actually form these PDEs from simpler equations. Remember, we can derive them by eliminating constants or functions.
Formation of PDEs by Eliminating Arbitrary Constants
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Let's explore how we can form a PDE by eliminating arbitrary constants. Who remembers what steps are taken?
We differentiate with respect to the independent variables first!
Correct! We differentiate partially and then substitute to eliminate the constants. We can use the example z=ax + by + c. Who would like to try this?
I can try! So, I differentiate to find p and q, right?
Yes! And what do you get for p and q?
p=a and q=b.
Exactly! And can you now express the PDE?
It simplifies to the Laplace equation, which equals zero!
Perfect! Let's recap that: We differentiated our function, substituted, and ultimately simplified to form a PDE.
Formation of PDEs by Eliminating Arbitrary Functions
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Now let’s look at how we can eliminate arbitrary functions to form PDEs. Who can give me an example of a function that includes arbitrary functions?
How about z=f(x²+y²)?
Excellent! What would our first step be?
We differentiate it to get p and q using the chain rule.
Exactly! After differentiating, we express those derivatives in terms of p and q. Can someone explain how we eliminate f′(u)?
We can divide the two equations!
Correct! This gives us the necessary relationship to eliminate f′(u) and obtain our PDE form.
Application of Formation Techniques
🔒 Unlock Audio Lesson
Sign up and enroll to listen to this audio lesson
Finally, let’s consider these methods in real-world scenarios. How might engineers use these techniques?
They might model heat distribution or fluid flow.
Right! These applications are vital for designing systems and predicting behaviors in various fields. Where else do you think PDEs might show up in our studies?
They could be used in mechanical vibrations and electrical engineering!
Exactly! Recognizing where to apply these theories helps develop a deeper understanding of both the PDEs and their practical implications.
Introduction & Overview
Read summaries of the section's main ideas at different levels of detail.
Quick Overview
Standard
The section covers the process of deriving partial differential equations through the elimination of arbitrary constants or functions from a given equation. It provides clarity on how to recognize and differentiate between the techniques applied in each case, enriched with examples for better understanding.
Detailed
Detailed Summary
Partial Differential Equations (PDEs) play a critical role in various scientific fields by encapsulating the relationship of multivariable functions. In this section, we focus on the methods of forming PDEs by eliminating arbitrary constants or functions.
The formation of a PDE typically involves two methods:
1. Eliminating Arbitrary Constants: By differentiating a function with respect to its independent variables, we can derive a PDE. This is illustrated through examples where functions containing constants are manipulated to find equations that satisfy specific physical conditions.
2. Eliminating Arbitrary Functions: This method uses the relationships involving arbitrary functions and requires differentiation and strategic manipulation to derive a PDE. Examples illustrate how to transform functions into their respective PDE forms.
Ultimately, mastering these techniques is pivotal for students and professionals in disciplines using PDEs since they form the basis for much more complex problem solving in areas like fluid dynamics, heat transfer, and electromagnetism.
Youtube Videos
Audio Book
Dive deep into the subject with an immersive audiobook experience.
Formation of PDEs by Eliminating Arbitrary Constants
Chapter 1 of 6
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
📘 Method:
If a function involves one or more arbitrary constants, we differentiate partially with respect to the independent variables and eliminate the constants.
Detailed Explanation
In this method, when we have an equation that includes arbitrary constants, the first step is to take partial derivatives of the function with respect to its independent variables. This helps us to identify and isolate the arbitrary constants. After differentiating, we set up relationships to express the derived variables (let's call them p and q) in terms of these constants. Following this, we substitute back into the original equation and try to eliminate the constant, eventually leading us to a partial differential equation (PDE).
Examples & Analogies
Think of it like a jigsaw puzzle where some pieces are missing (the arbitrary constants). By fitting the pieces (differentiating), you can find out which ones belong to the final image (the PDE). As you fit more pieces in, you start to see the complete picture emerge.
Example 1 - Step-by-step Process
Chapter 2 of 6
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
📌 Example 1:
Given:
z=ax+b y+c
where a,b,c are arbitrary constants.
Step 1: Differentiate partially with respect to x and y:
∂z ∂z
a, =b
∂x ∂ y
Let:
∂z ∂z
p= ,q=
∂x ∂ y
So:
p=a,q=b
Substitute into original equation:
z=px+q y+c⇒c=z−px−qy
Now eliminate c:
No constants left to eliminate further. Hence, the PDE is:
∂2z
z=px+q y+(z−px−qy)⇒This equation is too trivial; typically, we express it as: =0
∂x∂ y
Detailed Explanation
In Example 1, we start with a function z that contains the arbitrary constants a, b, and c. The first step is to differentiate z with respect to the variables x and y, resulting in derivatives that are equal to those constants. We then define p and q to simplify our notation. By substituting p and q back into the original equation, we express c in terms of z, leading to the removal of arbitrary constants. Ultimately, we derive a simple PDE, which is identified as trivial since it leads us to express it as equal to zero.
Examples & Analogies
Imagine you're cooking and have a recipe that includes some 'to taste' ingredients (the constants). By tasting and adjusting (differentiating), you can figure out how much of each ingredient you actually need to create a dish that satisfies your taste (the PDE). Once you find the right amounts, you realize that some ingredients aren't needed at all (the trivial PDE).
Example 2 - Dealing with Variables
Chapter 3 of 6
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
📌 Example 2:
Given:
z=a2 +x2 +y2
Differentiate:
∂z ∂z
=2x, =2 y
∂x ∂ y
Let:
p q
p=2x,q=2y⇒x= , y=
2 2
Substitute into original:
z=a2 +x2 +y2 =a2 +(
p)2 +(q)2
⇒a2 =z−
p2 +q2
2 2 4
Thus, the required PDE is:
p2 +q2
4 z=p2 +q2 +4a2⇒Eliminatea2:4z=p2 +q2 +4(z− )⇒Simplify to form the PDE
4
Detailed Explanation
In Example 2, we begin with a function z that includes arbitrary constants. Differentiating with respect to x and y gives us new variables p and q. After this, we substitute these variables back into the original equation. We aim to express the constants in terms of the quantities we have derived. By adjusting and rearranging the terms carefully, we eventually eliminate the constants to arrive at a second-order PDE representing the relationship between the variables of the system.
Examples & Analogies
Consider building a model of a structure where some elements are adjustable (the constants). By modifying the size and shape of parts (differentiating), you can determine the actual dimensions needed that will fit together perfectly (the PDE). Once you have this model, you can remove the flexible parts to get a solid understanding of the structure's final design.
Formation of PDEs by Eliminating Arbitrary Functions
Chapter 4 of 6
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
📘 Method:
If the function involves arbitrary functions, we differentiate and eliminate the function(s) using the given relationships.
Detailed Explanation
When working with functions that involve arbitrary functions instead of constants, we follow a similar approach. First, we take partial derivatives and establish relationships between the variables. Once we have these derivatives expressed in terms of the arbitrary functions, we can eliminate those functions using the relationships identified. This process helps us arrive at a PDE that reflects the dependent relationships of the variables involved.
Examples & Analogies
Imagine you’re solving a mystery with clues (the arbitrary functions). Each time you collect a clue (take a derivative), you establish how the clues relate to each other. By connecting the dots and removing the irrelevant hints (eliminating the functions), you unveil the actual story behind the mystery (arriving at the PDE).
Example 3 - Using Relationships
Chapter 5 of 6
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
📌 Example 3:
Given:
z=f(x2 +y2)
Let:
u=x2 +y2,soz=f(u)
Differentiate:
∂z ∂u
=f′ (u)⋅ =f′ (u)⋅2x⇒p=2xf′ (u)
∂x ∂x
∂z
=f′ (u)⋅2y⇒q=2yf′ (u)
∂ y
Now, eliminate f′ (u):
Divide:
p q p q
=f′ (u), =f′ (u)⇒ = ⇒p y=qx
2x 2 y 2x 2 y
This is the required PDE.
Detailed Explanation
Example 3 takes a function defined by an arbitrary function f that depends on a combination of variables. After differentiating, we define new variables p and q based on those derivatives. The goal is to eliminate the function f itself. We can achieve this by relating p and q through the operations of division to express the arbitrary function in a different form. This leads us to derive a PDE that captures the relationship of the original function with respect to x and y.
Examples & Analogies
Think of this as trying to decode a secret language (the arbitrary function). You gather different clues (the derivatives) that help reveal how words relate to each other. By carefully piecing together these clues and recognizing the patterns, you can uncover the true message or meaning behind the language (the PDE).
Example 4 - Combining Functions
Chapter 6 of 6
🔒 Unlock Audio Chapter
Sign up and enroll to access the full audio experience
Chapter Content
📌 Example 4:
Given:
z=f(x+y)+g(x− y)
Let:
u=x+y,v=x− y⇒z=f(u)+g(v)
Differentiate:
∂z ∂z
=f′ (u)+g′ (v), =f′ (u)−g′ (v)
∂x ∂ y
Add and subtract:
p=f′ (u)+g′ (v),q=f′ (u)−g′ (v)
Add:
p+q
p+q=2f′ (u)⇒f′ (u)=
2
Subtract:
p−q
p−q=2g′ (v)⇒g′ (v)=
2
Now differentiate again and eliminate f and g to form a second-order PDE.
Detailed Explanation
In Example 4, we have a function z that is defined by two arbitrary functions f and g. We start by differentiating the function with respect to x and y. From this point, we can express the derivatives in terms of new variables p and q. By adding and subtracting these equations, we isolate the derivatives of f and g. This allows us to eliminate both f and g entirely through further differentiation, culminating in the creation of a second-order PDE that connects the relationships among the combined functions.
Examples & Analogies
Imagine you’re blending two recipes (the arbitrary functions). As you combine them, each recipe gives you a hint about the flavors (the derivatives). By tasting and adjusting the blend (differentiating), you can identify the dominant flavors (isolate f and g) and create a completely new dish (the PDE) that represents the best of both original recipes.
Key Concepts
-
Formation of PDEs: The process of deriving equations through elimination of constants or functions.
-
Eliminating Constants: A method that involves differentiating and removing constants to establish a PDE.
-
Eliminating Functions: A method focusing on using relationships of functions and their derivatives to achieve a PDE.
Examples & Applications
Example of a PDE: ∂²u/∂x² + ∂²u/∂y² = 0, known as Laplace's equation.
Formation example with constants: z=ax + by + c to derive z=px + qy, leading to Laplace's equation.
Memory Aids
Interactive tools to help you remember key concepts
Rhymes
When forming PDEs, you see, differentiate and substitute, that's the key!
Stories
Imagine a little function who wanted to grow. By differentiating its boundaries, it found ways to show. Constants once held it back, but with a clever twist, it shed them off and formed a PDE, no longer missed!
Memory Tools
To remember the steps: 'D-E-S' - Differentiate, Eliminate, Simplify.
Acronyms
M.A.D. - Method of Automatic Differentiation for forming PDEs.
Flash Cards
Glossary
- Partial Differential Equation (PDE)
An equation that contains partial derivatives of a multivariable function.
- Arbitrary Constants
Constants that can take any value and are eliminated in the formation of PDEs.
- Arbitrary Functions
Functions that are not specified and are used in the formation of PDEs.
Reference links
Supplementary resources to enhance your learning experience.