Parametric curves add a new dimension to calculus, allowing us to describe complex shapes and motions. By expressing x and y coordinates in terms of a parameter t, we can analyze curves that loop back on themselves or have multiple y-values for a single x.

This section builds on our calculus knowledge, applying it to parametric equations. We'll learn to find derivatives, calculate arc lengths, and determine areas under curves using these new tools. It's a powerful way to tackle problems traditional functions can't handle.

Derivatives of Parametric Curves

Finding Derivatives of Parametric Equations

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  • Parametric equations define xx and yy coordinates in terms of a parameter tt
    • x=f(t)x = f(t) and y=g(t)y = g(t)
  • To find dydx\frac{dy}{dx}, treat tt as the independent variable and differentiate xx and yy with respect to tt
    • dxdt=fโ€ฒ(t)\frac{dx}{dt} = f'(t) and dydt=gโ€ฒ(t)\frac{dy}{dt} = g'(t)
  • Divide dydt\frac{dy}{dt} by dxdt\frac{dx}{dt} to obtain dydx\frac{dy}{dx}
    • dydx=dydtdxdt=gโ€ฒ(t)fโ€ฒ(t)\frac{dy}{dx} = \frac{\frac{dy}{dt}}{\frac{dx}{dt}} = \frac{g'(t)}{f'(t)}
  • Example: Given x=t2+1x = t^2 + 1 and y=t3โˆ’ty = t^3 - t, find dydx\frac{dy}{dx}
    • dxdt=2t\frac{dx}{dt} = 2t and dydt=3t2โˆ’1\frac{dy}{dt} = 3t^2 - 1
    • dydx=3t2โˆ’12t\frac{dy}{dx} = \frac{3t^2 - 1}{2t}

Applying the Chain Rule to Parametric Equations

  • The chain rule is used when finding derivatives of composite functions
  • In parametric equations, xx and yy are both functions of tt, so the chain rule is needed
  • To find d2ydx2\frac{d^2y}{dx^2}, differentiate dydx\frac{dy}{dx} with respect to tt and divide by dxdt\frac{dx}{dt}
    • d2ydx2=ddt(dydx)dxdt\frac{d^2y}{dx^2} = \frac{\frac{d}{dt}(\frac{dy}{dx})}{\frac{dx}{dt}}
  • Example: Given x=cosโกtx = \cos t and y=sinโกty = \sin t, find d2ydx2\frac{d^2y}{dx^2}
    • dxdt=โˆ’sinโกt\frac{dx}{dt} = -\sin t and dydt=cosโกt\frac{dy}{dt} = \cos t
    • dydx=cosโกtโˆ’sinโกt=โˆ’cotโกt\frac{dy}{dx} = \frac{\cos t}{-\sin t} = -\cot t
    • ddt(dydx)=ddt(โˆ’cotโกt)=cscโก2t\frac{d}{dt}(\frac{dy}{dx}) = \frac{d}{dt}(-\cot t) = \csc^2 t
    • d2ydx2=cscโก2tโˆ’sinโกt=โˆ’cscโกtcotโกt\frac{d^2y}{dx^2} = \frac{\csc^2 t}{-\sin t} = -\csc t \cot t

Finding Tangent Lines to Parametric Curves

  • The tangent line to a curve at a point is the line that passes through the point with the same slope as the curve at that point
  • To find the tangent line to a parametric curve at a given point, find the slope using dydx\frac{dy}{dx} and substitute the point's coordinates into the point-slope form of a line
    • Slope m=dydxm = \frac{dy}{dx} at the given point
    • Tangent line equation: yโˆ’y1=m(xโˆ’x1)y - y_1 = m(x - x_1)
  • Example: Find the tangent line to the curve x=t2โˆ’1x = t^2 - 1, y=t3+2ty = t^3 + 2t at the point where t=1t = 1
    • When t=1t = 1, x=0x = 0 and y=3y = 3, so the point is (0,3)(0, 3)
    • dxdt=2t\frac{dx}{dt} = 2t and dydt=3t2+2\frac{dy}{dt} = 3t^2 + 2
    • dydx=3t2+22t\frac{dy}{dx} = \frac{3t^2 + 2}{2t}, and when t=1t = 1, dydx=52\frac{dy}{dx} = \frac{5}{2}
    • Tangent line equation: yโˆ’3=52(xโˆ’0)y - 3 = \frac{5}{2}(x - 0) or y=52x+3y = \frac{5}{2}x + 3

Arc Length and Area

Calculating Arc Length of Parametric Curves

  • is the distance along a curve between two points
  • For a parametric curve defined by x=f(t)x = f(t) and y=g(t)y = g(t) on the interval [a,b][a, b], the arc length is given by the integral:
    • L=โˆซab(dxdt)2+(dydt)2dtL = \int_a^b \sqrt{\left(\frac{dx}{dt}\right)^2 + \left(\frac{dy}{dt}\right)^2} dt
  • To find the arc length, differentiate xx and yy with respect to tt, square and add the results, take the square root, and integrate with respect to tt
  • Example: Find the arc length of the curve x=cosโกtx = \cos t, y=sinโกty = \sin t for 0โ‰คtโ‰คฯ€20 \leq t \leq \frac{\pi}{2}
    • dxdt=โˆ’sinโกt\frac{dx}{dt} = -\sin t and dydt=cosโกt\frac{dy}{dt} = \cos t
    • L=โˆซ0ฯ€2(โˆ’sinโกt)2+(cosโกt)2dt=โˆซ0ฯ€2sinโก2t+cosโก2tdt=โˆซ0ฯ€21dt=ฯ€2L = \int_0^{\frac{\pi}{2}} \sqrt{(-\sin t)^2 + (\cos t)^2} dt = \int_0^{\frac{\pi}{2}} \sqrt{\sin^2 t + \cos^2 t} dt = \int_0^{\frac{\pi}{2}} 1 dt = \frac{\pi}{2}

Finding Area Under Parametric Curves

  • To find the , integrate yy with respect to xx using the formula:
    • A=โˆซabydxdtdtA = \int_a^b y \frac{dx}{dt} dt
  • Substitute the parametric equations for xx and yy, and integrate with respect to tt
  • Example: Find the area under the curve x=t2x = t^2, y=ty = t for 0โ‰คtโ‰ค10 \leq t \leq 1
    • dxdt=2t\frac{dx}{dt} = 2t
    • A=โˆซ01tโ‹…2tdt=2โˆซ01t2dt=2[t33]01=23A = \int_0^1 t \cdot 2t dt = 2 \int_0^1 t^2 dt = 2 \left[\frac{t^3}{3}\right]_0^1 = \frac{2}{3}

Higher Order Derivatives

Finding Second Derivatives in Parametric Form

  • The second derivative of yy with respect to xx, denoted d2ydx2\frac{d^2y}{dx^2}, measures the rate of change of the slope of a curve
  • To find d2ydx2\frac{d^2y}{dx^2} for a parametric curve, differentiate dydx\frac{dy}{dx} with respect to tt and divide by dxdt\frac{dx}{dt}
    • d2ydx2=ddt(dydx)dxdt\frac{d^2y}{dx^2} = \frac{\frac{d}{dt}(\frac{dy}{dx})}{\frac{dx}{dt}}
  • First, find dydx\frac{dy}{dx} by dividing dydt\frac{dy}{dt} by dxdt\frac{dx}{dt}
  • Then, differentiate dydx\frac{dy}{dx} with respect to tt to get ddt(dydx)\frac{d}{dt}(\frac{dy}{dx})
  • Finally, divide ddt(dydx)\frac{d}{dt}(\frac{dy}{dx}) by dxdt\frac{dx}{dt} to obtain d2ydx2\frac{d^2y}{dx^2}
  • Example: Given x=etx = e^t and y=e2ty = e^{2t}, find d2ydx2\frac{d^2y}{dx^2}
    • dxdt=et\frac{dx}{dt} = e^t and dydt=2e2t\frac{dy}{dt} = 2e^{2t}
    • dydx=2e2tet=2et\frac{dy}{dx} = \frac{2e^{2t}}{e^t} = 2e^t
    • ddt(dydx)=ddt(2et)=2et\frac{d}{dt}(\frac{dy}{dx}) = \frac{d}{dt}(2e^t) = 2e^t
    • d2ydx2=2etet=2\frac{d^2y}{dx^2} = \frac{2e^t}{e^t} = 2

Key Terms to Review (15)

Arc Length: Arc length is the measure of the distance along a curve between two points. It is an important concept that helps to quantify the length of curves represented in different forms, such as parametric equations and vector-valued functions, allowing for the analysis of motion and path in various contexts.
Area under a parametric curve: The area under a parametric curve is the region enclosed between the curve defined by parametric equations and the horizontal axis over a specified interval. This area can be calculated using integration techniques that consider the relationship between the parameters and the Cartesian coordinates, often requiring the use of derivatives to express the area in terms of the parameter.
Computer graphics: Computer graphics refers to the creation, manipulation, and representation of visual images and animations through the use of computers. This technology is essential in various fields, including video games, simulations, and design. By employing mathematical concepts such as parametric equations, computer graphics allows for the accurate modeling and rendering of curves and surfaces, making visual representations more realistic and immersive.
Curvature: Curvature is a measure of how sharply a curve deviates from being a straight line. It reflects the bending of a curve at any given point and is crucial for understanding the geometric properties of curves and surfaces. Curvature helps in analyzing the behavior of parametric curves and determining arc lengths, which are fundamental concepts in calculus.
Derivative of a parametric function: The derivative of a parametric function represents the rate of change of a curve defined by parametric equations with respect to its parameter, usually denoted as 't'. This derivative is essential for understanding the slope of the tangent line to the curve at any point, and it connects to other important concepts like velocity and acceleration in the context of motion along a path.
Fundamental Theorem of Calculus for Parametric Curves: The Fundamental Theorem of Calculus for Parametric Curves connects the concepts of differentiation and integration for curves defined parametrically. It states that if a curve is described by parametric equations, the definite integral of a function along that curve can be computed using the components of the parametric equations, effectively linking the area under the curve to the evaluation of the integral at the endpoints of the parameter interval.
Green's Theorem in the Plane: Green's Theorem in the Plane states that for a positively oriented, simple closed curve C and a region D it encloses, the line integral around C can be related to a double integral over the area D. Specifically, it expresses that the circulation around the curve is equal to the sum of the curl of a vector field over the region, providing a powerful connection between line integrals and double integrals.
Implicit Differentiation: Implicit differentiation is a technique used to find the derivative of a function defined implicitly, meaning the function is not expressed explicitly as $y = f(x)$. This method allows us to differentiate both sides of an equation involving both $x$ and $y$ with respect to $x$, treating $y$ as a function of $x$ and applying the chain rule when necessary. It's particularly useful when functions are intertwined or when it's difficult to isolate $y$.
Modeling motion: Modeling motion involves using mathematical equations and concepts to describe the movement of objects through space and time. This includes understanding how parameters such as position, velocity, and acceleration change over time, often represented through parametric equations that allow for more complex trajectories than traditional Cartesian coordinates can provide.
Parameterization: Parameterization is the process of expressing a curve or surface using one or more parameters, allowing us to describe geometric objects in a more flexible way. This method breaks down complex shapes into simpler components, often using equations that define each coordinate as a function of a variable, typically denoted as 't'. It plays a crucial role in the representation of curves in a plane or space and is foundational for calculus applications involving motion and area calculations.
Parametric Equations of a Curve: Parametric equations of a curve define the coordinates of points on the curve using one or more parameters. Instead of expressing y directly as a function of x, parametric equations use variables like t to express both x and y coordinates, allowing for greater flexibility in representing complex curves, including circles, ellipses, and spirals.
Relationship between Parametric and Cartesian Equations: The relationship between parametric and Cartesian equations involves understanding how a set of equations that describe a curve in terms of parameters can be transformed into an equation in a coordinate system. Parametric equations express the coordinates of points on a curve as functions of one or more variables, while Cartesian equations relate these coordinates directly in terms of each other. This relationship is crucial for analyzing the behavior of curves, including their slopes, tangents, and integrals.
Speed of a particle: The speed of a particle is defined as the magnitude of its velocity, which represents how fast the particle is moving regardless of its direction. In the context of parametric curves, the speed can be computed using the derivatives of the parametric equations that describe the particle's motion in space. This connects to concepts such as distance traveled and time, allowing for a deeper understanding of a particle's movement along a given path.
Tangent Vector: A tangent vector is a vector that touches a curve at a single point and indicates the direction in which the curve is moving at that point. This vector is essential in understanding the behavior of curves described by parametric equations and vector-valued functions, helping to determine rates of change, arc lengths, and curvature of paths in space.
Tracing a curve: Tracing a curve involves plotting points in the coordinate plane that represent the path described by a set of parametric equations. This process helps visualize the relationship between the variables and understand the shape and behavior of the curve. By analyzing the parametric equations, one can determine key features such as intercepts, turning points, and asymptotic behavior.
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