From a Function - 4.1.1 | 4. First-Order PDEs | Mathematics - iii (Differential Calculus) - Vol 2
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From a Function

4.1.1 - From a Function

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Introduction to First-Order PDEs

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Teacher
Teacher Instructor

Today, we will be discussing how we can form first-order Partial Differential Equations or PDEs. Can anyone tell me what a first-order PDE is?

Student 1
Student 1

A first-order PDE is an equation that involves first derivatives of a function, right?

Teacher
Teacher Instructor

Exactly! It involves the first derivatives. Now, these equations are crucial for modeling physical phenomena. Why do you think we need to form them from given functions?

Student 2
Student 2

Maybe to simplify the equations we have in physical situations?

Teacher
Teacher Instructor

Right! By eliminating arbitrary constants or functions from a function, we can simplify our problems. Let's dive into how these PDEs can be formed.

Differentiation and Elimination

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Teacher
Teacher Instructor

Let’s consider the function `z = ax + by + c`. If we differentiate with respect to `x` and `y`, what do we get?

Student 3
Student 3

We would find `∂z/∂x = a` and `∂z/∂y = b`.

Teacher
Teacher Instructor

Correct! We denote these derivatives as `p` and `q`. So now we have `p = a` and `q = b`. How do we proceed next?

Student 4
Student 4

We eliminate the constants to form the PDE, right?

Teacher
Teacher Instructor

Exactly! By eliminating `a`, `b`, and `c`, we convert our function into a PDE, which can be expressed as a relationship involving `z`, `p`, and `q`. Let's practice this together.

The Importance of the Example

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Teacher
Teacher Instructor

Now that we've established how to form a PDE, why do you think this method is important?

Student 1
Student 1

It helps in deriving equations that represent real-world phenomena, like heat flow or wave mechanics.

Teacher
Teacher Instructor

Fantastic! These methods lay the groundwork for solving more complex equations later on. Remember, understanding how to go from a function to a PDE is crucial for this.

Student 2
Student 2

So if we understand this process, we will find solving other types of PDEs like linear or non-linear easier?

Teacher
Teacher Instructor

Exactly! Each type of PDE can often be treated using specific methods derived from our fundamental understanding here. Great work, everyone!

Introduction & Overview

Read summaries of the section's main ideas at different levels of detail.

Quick Overview

This section explains how first-order Partial Differential Equations (PDEs) can be formed by eliminating arbitrary constants or functions from given functions.

Standard

The section details the formation of first-order PDEs through the example of a function with arbitrary constants. It describes the process of differentiation with respect to variables, and then explains how the constants can be eliminated to arrive at a PDE.

Detailed

Detailed Summary

This section focuses on the formation of first-order Partial Differential Equations (PDEs), which are significant in mathematical modeling across various fields such as physics and engineering. Specifically, it illustrates how one can derive a first-order PDE by eliminating arbitrary constants from a given function.

Key Concepts

  1. Definition of First-Order PDE: A first-order PDE contains only first derivatives of the dependent variable.
  2. Formation Method: To form a PDE from a function, one must differentiate the function concerning its independent variables and eliminate the arbitrary constants.

Example Explanation

The provided example involves a function defined as:

z = ax + by + c,
where a, b, and c are arbitrary constants. Applying partial differentiation leads to:

  • Partial derivative with respect to x: ∂z/∂x = a = p
  • Partial derivative with respect to y: ∂z/∂y = b = q

Through these steps, one can eliminate the constants a, b, and c to arrive at a PDE involving z, p, and q. This serves as the foundation for further investigations into both linear and non-linear first-order PDEs.

Youtube Videos

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

Audio Book

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Introduction to First-Order PDEs from a Function

Chapter 1 of 2

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Chapter Content

A first-order PDE can be obtained by eliminating arbitrary constants or arbitrary functions from a given function.

Detailed Explanation

A first-order Partial Differential Equation (PDE) is one where the highest order of derivative is one. To derive such an equation, we often start with a function that contains arbitrary constants or functions. By differentiating this function with respect to its independent variables and manipulating the results, we can eliminate the constants or functions to produce a first-order PDE. This process is essential as it allows us to understand the relationships between different variables within the context of the PDE.

Examples & Analogies

Think of a recipe that requires specific amounts of ingredients (the constants). If we want to create a general recipe for a dish, we could express the amounts as variables (like x and y) instead. By figuring out how many of each ingredient are needed without using specific measurements, we can develop a formula (the PDE) that describes the recipe in any situation.

Example of Eliminating Constants

Chapter 2 of 2

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Chapter Content

Example 1:
Let
z=ax+b y+c
Differentiate partially with respect to x and y:
∂z/∂x = a = p, ∂z/∂y = b = q
Eliminate constants a, b, and c to get a PDE.

Detailed Explanation

In the example provided, we start with a function that relates the dependent variable z to independent variables x and y, along with constants a, b, and c. We differentiate the function with respect to x and y, which gives us new expressions (p and q) for the partial derivatives. The key step is eliminating the constants (a, b, c) from these expressions to derive a relationship between the variables x, y, and z, ultimately leading us to our first-order PDE.

Examples & Analogies

Imagine if the function z is the height of a water fountain that changes based on the position (x, y) of the viewer. The constants represent specific characteristics of the fountain’s design (like height adjustments or water pressure). By observing how the height changes as you move around, we can derive a general rule about how to calculate the height at any position, effectively creating a formula that applies to all positions (the PDE).

Key Concepts

  • Definition of First-Order PDE: A first-order PDE contains only first derivatives of the dependent variable.

  • Formation Method: To form a PDE from a function, one must differentiate the function concerning its independent variables and eliminate the arbitrary constants.

  • Example Explanation

  • The provided example involves a function defined as:

  • z = ax + by + c,

  • where a, b, and c are arbitrary constants. Applying partial differentiation leads to:

  • Partial derivative with respect to x: ∂z/∂x = a = p

  • Partial derivative with respect to y: ∂z/∂y = b = q

  • Through these steps, one can eliminate the constants a, b, and c to arrive at a PDE involving z, p, and q. This serves as the foundation for further investigations into both linear and non-linear first-order PDEs.

Examples & Applications

Example of forming a PDE from the function z = ax + by + c, leading to the elimination of constants to create a relationship between z, p, and q.

Memory Aids

Interactive tools to help you remember key concepts

🎵

Rhymes

To form a PDE, differentiate and see, constants vanish with glee!

📖

Stories

Once a constant named 'c' wanted to play. It was part of a function, but went away as we differentiated. Only variables stayed - learning PDEs was the key!

🧠

Memory Tools

Remember 'D.E.': Differentiate, Eliminate to form a PDE.

🎯

Acronyms

PDE

**P**artial **D**erivatives **E**merged from functions.

Flash Cards

Glossary

Partial Differential Equation (PDE)

An equation involving partial derivatives of a function with respect to multiple independent variables.

FirstOrder PDE

A PDE where the highest derivative is of the first order.

Arbitrary Constants

Constants that can take various values, making functions flexible in modeling different scenarios.

Partial Derivative

The derivative of a function with respect to one variable while keeping other variables constant.

Reference links

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