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Today, we'll learn how to find the Complementary Function, or CF, from a non-homogeneous linear PDE. Can anyone explain what a complementary function is?
Is it the solution to the associated homogeneous PDE?
Exactly! The CF is the solution to the equation when the right side is zero. It's crucial because it forms part of our general solution. Remember, we denote the homogeneous part as L(z) = 0. Can someone give me an example of a PDE for which we would find a CF?
How about the wave equation, like L(z) = ∂²z/∂x² - ∂²z/∂y²?
Perfect! And from that equation, we can derive the CF by solving it. Let’s summarize: the CF is a part of the solution structure: General Solution = CF + PI. Any questions?
Next, let's talk about the Particular Integral, or PI. What role does the PI play in solving non-homogeneous PDEs?
I think it’s the specific solution to the non-homogeneous equation?
Correct! So, to find the PI, we often use the method of undetermined coefficients. Can anyone explain how we typically choose our form for the PI?
We generally look at the form of the non-homogeneous part, G(x, y), right? Like if it’s a polynomial, we assume a polynomial for the PI?
Exactly! Let’s take an example: if G is e^x cos(y), we would guess a solution of the form A e^x cos(y) + B e^x sin(y). Remember to substitute and match coefficients to solve for A and B. Any questions before we move to solving an actual PDE?
Let’s apply what we’ve learned to solve an example. We’ll start with: (D² - D'²)z = e^x cos(y). Who can summarize the first step for us?
We need to find the CF by solving the homogeneous part!
Right! The CF will be the general solution of the associated homogeneous equation. After we find that, what do we do next?
We find the Particular Integral using the method of undetermined coefficients!
Exactly! Now, assuming a form for PI like A e^x cos(y) + B e^x sin(y) allows us to substitute and match coefficients. Now, let’s solve for A and B together.
We’ll now work through another example: (D² + 2DD' + D'²)z = x²y. What’s the first step here?
We should first find the CF from the homogeneous equation.
Correct! And can someone remind me what our next step will be once we have the CF?
We’ll assume a form for the PI based on the right side, like z = Ax²y + Bxy + C.
Exactly! We’ll substitute that back into the PDE to determine the coefficients A, B, and C. Remember, practice is essential! Let’s summarize what we've learned today.
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The section discusses two specific examples, demonstrating step-by-step solutions to non-homogeneous PDEs. Each example illustrates the process of finding complementary functions (CF) and particular integrals (PI), highlighting their importance in constructing the general solution.
This section focuses on practical examples for solving non-homogeneous linear partial differential equations (PDEs). Non-homogeneous PDEs feature a non-zero function on their right-hand side, representing external forces or influences. Two examples are provided to illustrate the solution methodology clearly.
$$
\frac{\partial^2 z}{\partial x^2} - \frac{\partial^2 z}{\partial y^2} = e^{x} \cos(y)
$$
$$
(D^2 + 2DD' + D'^2)z = x^2y
$$
Each example highlights key methods employed to reach solutions, reinforcing the relevance of complementary functions and particular integrals in understanding non-homogeneous linear PDEs.
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🔸 Example 1:
Solve:
∂2 ∂2
( − )𝑧 = 𝑒𝑥cos𝑦
∂𝑥2 ∂𝑦2
Solution:
Let:
(𝐷2− 𝐷′2 )𝑧= 𝑒𝑥cos𝑦
• CF: Solve
(𝐷2−𝐷′2 )𝑧 = 0 → The CF is 𝑧 = 𝑓 (𝑥+ 𝑦)+𝑓 (𝑥− 𝑦)
1 2
• PI: Use inverse operator
1
PI= (𝑒𝑥cos𝑦)
𝐷2− 𝐷′2
Try solution of form: 𝐴𝑒𝑥cos𝑦 + 𝐵𝑒𝑥sin𝑦, plug into LHS, match terms to get PI.
• General Solution: CF + PI
In this example, we need to solve a non-homogeneous partial differential equation (PDE). We start with the equation represented in operator form. The first step is to find the complementary function (CF) by solving the associated homogeneous equation. This gives us a general solution in terms of arbitrary functions of certain combinations of variables, which signifies the solution to the homogeneous case. After determining the CF, we need to find the particular integral (PI), which provides a specific solution that addresses the non-homogeneous part of the equation. To do this, we assume a particular form based on the right-hand side function, substitute it into the equation, and adjust the coefficients to match terms, allowing us to solve for the specific solution. Lastly, the overall solution to our PDE is a combination of both CF and PI.
Imagine you're studying the temperature in a metal rod with an external heat source at one end. The heat distribution can be modeled by a non-homogeneous PDE where the heat source influences the temperature profile. Finding the general temperature distribution involves calculating what the temperature would be without any heat source (CF) and then adding the effect of the external heat source (PI) to get the full temperature distribution throughout the rod.
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🔸 Example 2:
Solve:
(𝐷2+ 2𝐷𝐷′ + 𝐷′2 )𝑧 = 𝑥2𝑦
This is a linear PDE with polynomial RHS.
• CF: Solve homogeneous part.
• PI: Assume form 𝑧 = 𝐴𝑥2𝑦 +𝐵𝑥𝑦+ 𝐶 and determine coefficients.
In this example, we're dealing with another non-homogeneous PDE where the right-hand side is a polynomial function. The process is quite similar to the first example. Initially, we determine the complementary function by solving the homogeneous part of the PDE. Once we find the CF, we proceed to find a particular integral (PI) by assuming a specific form of the general solution based on the polynomial nature of the non-homogeneous term. We set our assumed solution with undetermined coefficients and then substitute it back into the original equation to find the values of these coefficients that make the equation hold true.
Think of a scenario where you're modeling the height of water in a tank that is being filled at a constant rate and also draining due to a leak. The presence of the tank's water height is influenced by both the incoming flow and the draining. Here, the polynomial term represents the steady addition of water (like 𝑥²𝑦) against balancing factors, similar to how we add and adjust coefficients in our assumed solution to get the accurate height of water across time.
Learn essential terms and foundational ideas that form the basis of the topic.
Key Concepts
Non-Homogeneous Linear PDE: Represents real-world phenomena influenced by external forces.
Complementary Function (CF): Integral component obtained from the homogeneous equation.
Particular Integral (PI): A tailored solution for the specific form of the non-homogeneous PDE.
Operator Method: Simplifies solving linear PDEs using operator notation.
Method of Undetermined Coefficients: A strategic approach to estimate specific solutions.
See how the concepts apply in real-world scenarios to understand their practical implications.
Example 1: Solve ∂²z/∂x² - ∂²z/∂y² = e^x cos(y) by finding CF and PI.
Example 2: Solve (D² + 2DD' + D'²)z = x²y by determining the coefficients in the assumed solution.
Use mnemonics, acronyms, or visual cues to help remember key information more easily.
For PDEs that aren't homogeneous, find CF first, and let it flow, then PI's step will start to show!
Imagine a detective, solving a case of mysterious equations, first examining the clues—the CF. Then, with new evidence, they find the killer, the PI!
Remember: 'C' for Complementary is 'C' for Constants; focus on CF, then delve into PI.
Review key concepts with flashcards.
Review the Definitions for terms.
Term: NonHomogeneous Linear PDE
Definition:
A linear partial differential equation with a non-zero function on the right-hand side, representing external influences.
Term: Complementary Function (CF)
Definition:
The general solution of the associated homogeneous PDE.
Term: Particular Integral (PI)
Definition:
A specific solution to the non-homogeneous PDE.
Term: Operator Method
Definition:
A technique used to solve PDEs with constant coefficients through operator notation.
Term: Method of Undetermined Coefficients
Definition:
A method where a particular form is assumed for the solution, simplifying the determination of unknown coefficients.
Term: Variation of Parameters
Definition:
A generalized method for solving PDEs, particularly complex ones, using integrating factors.