19.3 Applications of antiderivatives

3 min readjuly 22, 2024

Antiderivatives are powerful tools for understanding motion and solving differential equations. They let us find position from velocity, velocity from acceleration, and calculate distances traveled. This process is like working backwards from the rate of change to the original function.

Separable differential equations take this idea further, using antiderivatives to solve complex problems. By separating variables and integrating both sides, we can find solutions to equations that describe real-world phenomena. It's like unscrambling a puzzle to reveal the underlying relationships.

Antiderivatives and Their Applications

Position from velocity function

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  • Antiderivatives determine position functions from given velocity functions
    • Velocity v(t)v(t) measures rate of change of position with respect to time
    • Position s(t)s(t) is the of velocity
  • Integrate with respect to time to find position function
    • s(t)=v(t)dts(t) = \int v(t) dt
    • Constant of integration [C](https://www.fiveableKeyTerm:c)[C](https://www.fiveableKeyTerm:c) represents initial position at time t=0t=0
  • Example: Given v(t)=3t2+2tv(t) = 3t^2 + 2t, position function is s(t)=(3t2+2t)dt=t3+t2+Cs(t) = \int (3t^2 + 2t) dt = t^3 + t^2 + C
    • If initial position is known (e.g., s(0)=1s(0) = 1), solve for CC to determine specific position function

Velocity from acceleration function

  • Antiderivatives find velocity functions from given acceleration functions
    • Acceleration a(t)a(t) measures rate of change of velocity with respect to time
    • Velocity v(t)v(t) is the antiderivative of acceleration
  • Integrate with respect to time to find velocity function
    • v(t)=a(t)dtv(t) = \int a(t) dt
    • Constant of integration CC represents initial velocity at time t=0t=0
  • Example: Given a(t)=6t+2a(t) = 6t + 2, velocity function is v(t)=(6t+2)dt=3t2+2t+Cv(t) = \int (6t + 2) dt = 3t^2 + 2t + C
    • If initial velocity is known (e.g., v(0)=5v(0) = 5), solve for CC to determine specific velocity function

Applications of antiderivatives in motion

  • Antiderivatives calculate , , and
    • Distance is total path length traveled regardless of direction
    • Displacement is shortest distance between start and end points
    • Total distance traveled sums absolute values of distances in each direction
  • Find distance by integrating absolute value of velocity function over time interval
    • Distance=t1t2v(t)dt\text{Distance} = \int_{t_1}^{t_2} |v(t)| dt
    • Example: 023tdt=6\int_0^2 |3t| dt = 6 units of distance traveled from t=0t=0 to t=2t=2
  • Find displacement by evaluating position function at start and end times and subtracting
    • Displacement=s(t2)s(t1)\text{Displacement} = s(t_2) - s(t_1)
    • Example: If s(t)=t2+1s(t) = t^2 + 1, displacement from t=1t=1 to t=4t=4 is s(4)s(1)=15s(4) - s(1) = 15
  • Find total distance traveled by splitting time interval into subintervals where velocity doesn't change sign
    • Calculate distances in each subinterval and add together
    • Example: If v(t)=t2v(t) = t-2 from t=0t=0 to t=4t=4, split into [0,2][0,2] and [2,4][2,4], find distances, and add

Solving separable differential equations

  • Separable differential equations are solved using antiderivatives
    • has form dydx=f(x)g(y)\frac{dy}{dx} = f(x)g(y)
    • Variables can be separated with xx terms on one side and yy terms on other
  • Steps to solve separable differential equation:
    1. Separate variables by moving xx terms to one side and yy terms to other side
    2. Integrate both sides of equation with respect to their variables
    3. Solve for yy as function of xx using constant of integration CC
  • Example: Solve differential equation dydx=xy\frac{dy}{dx} = xy
    1. Separate variables: dyy=xdx\frac{dy}{y} = x dx
    2. Integrate both sides: dyy=xdx\int \frac{dy}{y} = \int x dx gives lny=12x2+C\ln |y| = \frac{1}{2}x^2 + C
    3. Solve for yy: y=±e12x2+Cy = \pm e^{\frac{1}{2}x^2 + C} (note the ±\pm from absolute value)

Key Terms to Review (24)

: The symbol ∫ represents the integral in calculus, which is a fundamental concept that allows us to find the area under a curve. Integrals are closely related to antiderivatives, as they can be thought of as the reverse process of differentiation. When we calculate an integral, we are essentially summing up infinitely small pieces to determine the total accumulation of a quantity, such as area, volume, or even displacement.
Acceleration function: The acceleration function is a mathematical representation that describes the rate of change of velocity with respect to time. In the context of motion, it is the second derivative of the position function, or the first derivative of the velocity function, indicating how quickly an object is speeding up or slowing down.
Accumulated Change: Accumulated change refers to the total amount of change that has occurred over a specified interval, often represented mathematically by the integral of a function. This concept helps in understanding how a quantity increases or decreases over time, allowing for the analysis of dynamic systems and their behaviors. It connects deeply with the notion of antiderivatives, as finding the accumulated change of a function often involves determining its antiderivative and evaluating it at the boundaries of the interval.
Antiderivative: An antiderivative is a function whose derivative gives back the original function. It represents the process of reversing differentiation, allowing us to find the original function from its rate of change. This concept is central to understanding the relationship between differentiation and integration, which plays a vital role in various mathematical applications.
Area under a curve: The area under a curve refers to the total region enclosed between the curve of a function and the x-axis, which can be calculated using integration. This concept is crucial for understanding how functions behave over an interval and is foundational in connecting the geometric representation of a function with its analytical properties. By calculating the area under a curve, you can derive useful information about the function, such as total accumulated quantities and average values.
C: 'c' typically represents the constant of integration in the context of antiderivatives. When finding the antiderivative of a function, it is important to include this constant because the process of differentiation removes any constant value. This constant can represent an infinite number of functions that differ only by a vertical shift on the graph, highlighting the importance of understanding that multiple functions can yield the same derivative.
Continuous Function: A continuous function is a function where small changes in the input lead to small changes in the output, meaning there are no breaks, jumps, or holes in the graph. This property is crucial for understanding various concepts in calculus, including limits, derivatives, and integrals, as it allows for the application of many fundamental theorems and methods without interruptions.
Definite Integral Application: Definite integral application refers to the process of utilizing definite integrals to solve real-world problems, such as calculating areas under curves, total accumulated quantities, and net changes over intervals. This concept connects the idea of accumulation with the geometry of functions, providing insights into various applications across different fields like physics, economics, and engineering.
Differentiable function: A differentiable function is one that has a defined derivative at every point in its domain, indicating that it is smooth and continuous without any abrupt changes or breaks. This concept is vital as it relates to the behavior of functions, allowing us to analyze their rates of change and apply various calculus principles.
Displacement: Displacement is defined as the change in position of an object, typically measured as the difference between the initial and final positions. In calculus, displacement is crucial as it connects the concepts of velocity and acceleration through the use of antiderivatives. Understanding displacement allows for the analysis of motion over time and is integral to interpreting the behavior of moving objects.
Distance: Distance is a measure of how far apart two points are in a given space, often quantified in units such as meters or miles. In the context of motion, distance can represent the total path traveled by an object, regardless of direction. This concept is crucial for understanding the relationship between position, velocity, and acceleration when analyzing movement over time.
Exponential function: An exponential function is a mathematical function of the form $$f(x) = a imes b^{x}$$, where 'a' is a constant, 'b' is a positive real number known as the base, and 'x' is the exponent. Exponential functions are characterized by their rapid growth or decay, depending on whether the base is greater than or less than one. These functions are crucial in various mathematical contexts, often appearing in problems involving growth, decay, and initial value conditions.
Fundamental theorem of calculus: The fundamental theorem of calculus establishes the connection between differentiation and integration, showing that they are essentially inverse processes. This theorem consists of two parts: the first part guarantees that if a function is continuous on a closed interval, then its definite integral can be computed using its antiderivative. The second part states that the derivative of the integral of a function is equal to the original function. This fundamental concept links the concepts of derivatives and antiderivatives together, playing a crucial role in understanding how these processes relate to one another.
Gottfried Wilhelm Leibniz: Gottfried Wilhelm Leibniz was a German mathematician and philosopher, best known for co-developing calculus independently of Isaac Newton. His work laid the foundations for many concepts in mathematics, including the notation used for derivatives and integrals. Leibniz's contributions are significant in understanding inverse functions and the applications of antiderivatives, linking his theories to essential principles in calculus.
Indefinite integral: An indefinite integral is a function that represents the antiderivative of a given function, essentially reversing the process of differentiation. It is expressed using the integral sign and includes a constant of integration, usually denoted as '+ C', to account for the fact that there are infinitely many antiderivatives differing only by a constant. This concept is crucial for understanding how to find original functions from their rates of change, connecting directly to essential mathematical operations.
Initial Value Problem: An initial value problem is a type of differential equation that includes specified values at a given point, known as initial conditions. This setup allows for the determination of a unique solution to the differential equation by using these initial conditions to solve for constants of integration that arise when finding antiderivatives. In the context of applications, initial value problems are crucial for modeling real-world scenarios where a starting condition is necessary to predict future behavior.
Integration by Parts: Integration by parts is a technique used to integrate products of functions by transforming the integral of a product into simpler integrals. This method is based on the product rule for differentiation and helps to break down complicated integrals into manageable parts, making it easier to find antiderivatives. It involves choosing one function to differentiate and another to integrate, leading to an application that can simplify the overall calculation of antiderivatives.
Isaac Newton: Isaac Newton was a mathematician, physicist, and astronomer, widely recognized as one of the most influential scientists of all time. He made groundbreaking contributions to the fields of calculus and mechanics, particularly through his formulation of the laws of motion and universal gravitation, which laid the foundation for classical physics. His work is crucial for understanding concepts like rates of change and the behavior of objects under forces, which relate directly to various mathematical principles.
Mean Value Theorem for Integrals: The Mean Value Theorem for Integrals states that if a function is continuous on the closed interval [a, b], then there exists at least one point c in the interval such that the integral of the function from a to b equals the product of the length of the interval and the value of the function at that point. This theorem connects the average value of a function over an interval to its integral, allowing for practical applications in various scenarios, particularly when working with antiderivatives.
Polynomial function: A polynomial function is a mathematical expression consisting of variables raised to whole number powers and coefficients, combined using addition, subtraction, and multiplication. These functions can take various forms, such as linear, quadratic, cubic, or higher degree polynomials, and they play a crucial role in calculus for understanding shapes of graphs and behaviors of functions. Their properties are foundational for concepts such as differentiation, critical points, and integral applications.
Separable differential equation: A separable differential equation is a type of ordinary differential equation that can be expressed in the form $$ rac{dy}{dx} = g(y)h(x)$$, allowing the variables to be separated into two sides of the equation. This separation enables the integration of both sides independently, making it easier to find solutions. By isolating the variables, one can apply antiderivatives to solve for the unknown function, which is essential in various applications involving rates of change and accumulation.
Substitution Method: The substitution method is a technique used to find antiderivatives by substituting a new variable for a function of the original variable. This method simplifies the process of integration, particularly when dealing with composite functions. By transforming a complicated integral into a simpler one, it allows for easier calculations and understanding of the underlying relationships within functions.
Total Distance Traveled: Total distance traveled refers to the overall length of the path taken by an object, regardless of its direction or displacement. This concept is essential when analyzing motion and is particularly relevant when calculating the area under a curve represented by a function, such as velocity over time, which can be obtained through antiderivatives.
Velocity function: The velocity function describes the rate of change of an object's position with respect to time, essentially representing how fast the object is moving and in which direction. This function is critical in understanding motion and can be derived from the position function using the process of differentiation. In applications, it helps analyze movement in various contexts, allowing for calculations such as displacement and average velocity over a given interval.
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