June 15, 2026 - Calculus 2 - Introduction to Differential Equations and Numerical Methods (Concise)
Verifying Solutions to Differential Equations
A differential equation involves a function and one or more of its derivatives.
To verify a possible solution, calculate the required derivatives and substitute them into the original equation.
Example: To check a solution for a second-order equation involving , , and , take two derivatives of the function (using rules like the chain rule for expressions such as ) and simplify the resulting expression to ensure it satisfies the given equality.
Ordering and Notation
Order: The order of a differential equation is determined by the highest order derivative present in the equation.
First order: Contains only the first derivative ().
Second order: Contains the second derivative ().
Third order: Contains the third derivative ().
High-Order Notation: For derivatives higher than the third order, numerical subscripts in parentheses are used (e.g., or ) to avoid excessive apostrophes and clarify the notation from powers like .
General and Particular Solutions
General Solution: Represents a family of solutions and typically includes an arbitrary constant . For example, for , the general solution is .
Particular Solution: A specific solution where the constant is determined based on a specific point the function passes through, such as .
Initial Value Problem (IVP): Refers to a differential equation accompanied by an initial condition (e.g., ). These conditions allow for finding the unique particular solution that models a specific situation, often starting at time .
Physics Applications
Differential equations model real-world behaviors by relating functions to their derivatives.
Kinematics:
Acceleration () is the derivative of velocity ().
Velocity () is the derivative of position ().
Example Case: A baseball with mass is thrown upward with an initial velocity of from a height of .
Acceleration due to gravity is .
. Using initial velocity , the particular solution is .
. Using initial position , the particular solution is .
Direction Fields and Equilibrium Solutions
Direction Field (Slope Field): A visual tool where arrows represent the slope of the tangent line () at various points in the plane. This provides a qualitative view of how solutions behave even if they cannot be solved analytically.
Equilibrium Solutions: These occur when the derivative is zero (). These solutions represent horizontal lines where the function value remains constant over time.
Stability: If tangent lines push toward an equilibrium solution, the function stabilizes; if they push away, it is unstable.
Numerical Methods: Euler's Method
Concept: Used when an anti-derivative is difficult or impossible to find. It employs linear approximation to estimate values of a function step-by-step.
Linearization Formula: .
Implementation:
Start at a known point .
Estimate the next point by moving a small step size () in the direction of the local slope.
Use the new point to rebuild a new linearization and repeat the process.
Accuracy: Smaller step sizes yield better approximations, but because each step is an estimation based on a previous estimation, errors can accumulate.
Questions & Discussion
Question regarding Order Notation: How do you distinguish a higher-order derivative from a power, such as vs. ? Response: Context is key in differential equations. Notationally, the use of parentheses around the exponent indicates a derivative. Additionally, taking a non-integer derivative (like a half-derivative) is not standard in this context.
Question regarding Equilibrium Solutions: Why is a vertical line like not considered a solution to the differential equation? Response: A vertical line does not pass the vertical line test and therefore cannot be considered a function . Differential equation solutions must be functions.
Question regarding Numerical Accuracy: If you use an estimation to make a further estimation, does it get more wrong? Response: Yes, it is an estimation of an estimation, meaning the error can drift further from the true curve the longer the process continues. This is why small steps are necessary for better results.