Method - 1.2.1 | 1. Formation of Partial Differential Equations | Mathematics - iii (Differential Calculus) - Vol 2
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Interactive Audio Lesson

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Introduction to Partial Differential Equations (PDEs)

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0:00
Teacher
Teacher

Today, we will delve into Partial Differential Equations or PDEs. Does anyone know what a PDE is?

Student 1
Student 1

A PDE is an equation involving partial derivatives of a function!

Teacher
Teacher

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?

Student 2
Student 2

Fluid dynamics, right?

Teacher
Teacher

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

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0:00
Teacher
Teacher

Let's explore how we can form a PDE by eliminating arbitrary constants. Who remembers what steps are taken?

Student 3
Student 3

We differentiate with respect to the independent variables first!

Teacher
Teacher

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?

Student 4
Student 4

I can try! So, I differentiate to find p and q, right?

Teacher
Teacher

Yes! And what do you get for p and q?

Student 4
Student 4

p=a and q=b.

Teacher
Teacher

Exactly! And can you now express the PDE?

Student 4
Student 4

It simplifies to the Laplace equation, which equals zero!

Teacher
Teacher

Perfect! Let's recap that: We differentiated our function, substituted, and ultimately simplified to form a PDE.

Formation of PDEs by Eliminating Arbitrary Functions

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0:00
Teacher
Teacher

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?

Student 1
Student 1

How about z=f(xΒ²+yΒ²)?

Teacher
Teacher

Excellent! What would our first step be?

Student 2
Student 2

We differentiate it to get p and q using the chain rule.

Teacher
Teacher

Exactly! After differentiating, we express those derivatives in terms of p and q. Can someone explain how we eliminate fβ€²(u)?

Student 3
Student 3

We can divide the two equations!

Teacher
Teacher

Correct! This gives us the necessary relationship to eliminate fβ€²(u) and obtain our PDE form.

Application of Formation Techniques

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0:00
Teacher
Teacher

Finally, let’s consider these methods in real-world scenarios. How might engineers use these techniques?

Student 4
Student 4

They might model heat distribution or fluid flow.

Teacher
Teacher

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?

Student 1
Student 1

They could be used in mechanical vibrations and electrical engineering!

Teacher
Teacher

Exactly! Recognizing where to apply these theories helps develop a deeper understanding of both the PDEs and their practical implications.

Introduction & Overview

Read a summary of the section's main ideas. Choose from Basic, Medium, or Detailed.

Quick Overview

This section explains the formation of partial differential equations (PDEs) by eliminating arbitrary constants and functions.

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

But what is a partial differential equation?  | DE2
But what is a partial differential equation? | DE2

Audio Book

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Formation of PDEs by Eliminating Arbitrary Constants

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πŸ“˜ 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

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πŸ“Œ 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:
βˆ‚z βˆ‚z
a, =b
βˆ‚x βˆ‚ y
Let:
βˆ‚z βˆ‚z
p= ,q=
βˆ‚x βˆ‚ y
So:
p=a,q=b
Substitute into original equation:
z=px+q y+cβ‡’c=zβˆ’pxβˆ’qy
Now eliminate c:
No constants left to eliminate further. Hence, the PDE is:
βˆ‚2z
z=px+q y+(zβˆ’pxβˆ’qy)β‡’This equation is too trivial; typically, we express it as: =0
βˆ‚xβˆ‚ 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

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πŸ“Œ Example 2:
Given:
z=a2 +x2 +y2
Differentiate:
βˆ‚z βˆ‚z
=2x, =2 y
βˆ‚x βˆ‚ y
Let:
p q
p=2x,q=2y⇒x= , y=
2 2
Substitute into original:
z=a2 +x2 +y2 =a2 +(
p)2 +(q)2
β‡’a2 =zβˆ’
p2 +q2
2 2 4
Thus, the required PDE is:
p2 +q2
4 z=p2 +q2 +4a2β‡’Eliminatea2:4z=p2 +q2 +4(zβˆ’ )β‡’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

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πŸ“˜ 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

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πŸ“Œ Example 3:
Given:
z=f(x2 +y2)
Let:
u=x2 +y2,soz=f(u)
Differentiate:
βˆ‚z βˆ‚u
=f′ (u)⋅ =f′ (u)⋅2x⇒p=2xf′ (u)
βˆ‚x βˆ‚x
βˆ‚z
=f′ (u)⋅2y⇒q=2yf′ (u)
βˆ‚ y
Now, eliminate fβ€² (u):
Divide:
p q p q
=fβ€² (u), =fβ€² (u)β‡’ = β‡’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

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πŸ“Œ Example 4:
Given:
z=f(x+y)+g(xβˆ’ y)
Let:
u=x+y,v=xβˆ’ yβ‡’z=f(u)+g(v)
Differentiate:
βˆ‚z βˆ‚z
=fβ€² (u)+gβ€² (v), =fβ€² (u)βˆ’gβ€² (v)
βˆ‚x βˆ‚ y
Add and subtract:
p=fβ€² (u)+gβ€² (v),q=fβ€² (u)βˆ’gβ€² (v)
Add:
p+q
p+q=2fβ€² (u)β‡’fβ€² (u)=
2
Subtract:
pβˆ’q
pβˆ’q=2gβ€² (v)β‡’gβ€² (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.

Definitions & Key Concepts

Learn essential terms and foundational ideas that form the basis of the topic.

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 & Real-Life Applications

See how the concepts apply in real-world scenarios to understand their practical implications.

Examples

  • Example of a PDE: βˆ‚Β²u/βˆ‚xΒ² + βˆ‚Β²u/βˆ‚yΒ² = 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

Use mnemonics, acronyms, or visual cues to help remember key information more easily.

🎡 Rhymes Time

  • When forming PDEs, you see, differentiate and substitute, that's the key!

πŸ“– Fascinating 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!

🧠 Other Memory Gems

  • To remember the steps: 'D-E-S' - Differentiate, Eliminate, Simplify.

🎯 Super Acronyms

M.A.D. - Method of Automatic Differentiation for forming PDEs.

Flash Cards

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Glossary of Terms

Review the Definitions for terms.

  • Term: Partial Differential Equation (PDE)

    Definition:

    An equation that contains partial derivatives of a multivariable function.

  • Term: Arbitrary Constants

    Definition:

    Constants that can take any value and are eliminated in the formation of PDEs.

  • Term: Arbitrary Functions

    Definition:

    Functions that are not specified and are used in the formation of PDEs.