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In differential calculus, related rates problems involve finding a rate at which a quantity changes by relating that quantity to other quantities whose rates of change are known. The rate of change is usually with respect to time. Because science and engineering often relate quantities to each other, the methods of related rates have broad applications in these fields. Differentiation with respect to time or one of the other variables requires application of the chain rule,[1] since most problems involve several variables.

Fundamentally, if a function is defined such that , then the derivative of the function can be taken with respect to another variable. We assume is a function of , i.e. . Then , so

Written in Leibniz notation, this is:

Thus, if it is known how changes with respect to , then we can determine how changes with respect to and vice versa. We can extend this application of the chain rule with the sum, difference, product and quotient rules of calculus, etc.

For example, if then

Procedure

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The most common way to approach related rates problems is the following:[2]

  1. Identify the known variables, including rates of change and the rate of change that is to be found. (Drawing a picture or representation of the problem can help to keep everything in order)
  2. Construct an equation relating the quantities whose rates of change are known to the quantity whose rate of change is to be found.
  3. Differentiate both sides of the equation with respect to time (or other rate of change). Often, the chain rule is employed at this step.
  4. Substitute the known rates of change and the known quantities into the equation.
  5. Solve for the wanted rate of change.

Errors in this procedure are often caused by plugging in the known values for the variables before (rather than after) finding the derivative with respect to time. Doing so will yield an incorrect result, since if those values are substituted for the variables before differentiation, those variables will become constants; and when the equation is differentiated, zeroes appear in places of all variables for which the values were plugged in.

The "four corner" approach to solving related rates problems. Knowing the relationship between position A and position B, differentiate to find the relationship between rate A and rate B.

Example

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A 10-meter ladder is leaning against the wall of a building, and the base of the ladder is sliding away from the building at a rate of 3 meters per second. How fast is the top of the ladder sliding down the wall when the base of the ladder is 6 meters from the wall?

The distance between the base of the ladder and the wall, x, and the height of the ladder on the wall, y, represent the sides of a right triangle with the ladder as the hypotenuse, h. The objective is to find dy/dt, the rate of change of y with respect to time, t, when h, x and dx/dt, the rate of change of x, are known.

Step 1:

Step 2: From the Pythagorean theorem, the equation

describes the relationship between x, y and h, for a right triangle. Differentiating both sides of this equation with respect to time, t, yields

Step 3: When solved for the wanted rate of change, dy/dt, gives us

Step 4 & 5: Using the variables from step 1 gives us:

Solving for y using the Pythagorean Theorem gives:

Plugging in 8 for the equation:

It is generally assumed that negative values represent the downward direction. In doing such, the top of the ladder is sliding down the wall at a rate of 9/4 meters per second.

Physics examples

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Because one physical quantity often depends on another, which, in turn depends on others, such as time, related-rates methods have broad applications in Physics. This section presents an example of related rates kinematics and electromagnetic induction.

Relative kinematics of two vehicles

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One vehicle is headed North and currently located at (0,3); the other vehicle is headed West and currently located at (4,0). The chain rule can be used to find whether they are getting closer or further apart.

For example, one can consider the kinematics problem where one vehicle is heading West toward an intersection at 80 miles per hour while another is heading North away from the intersection at 60 miles per hour. One can ask whether the vehicles are getting closer or further apart and at what rate at the moment when the North bound vehicle is 3 miles North of the intersection and the West bound vehicle is 4 miles East of the intersection.

Big idea: use chain rule to compute rate of change of distance between two vehicles.

Plan:

  1. Choose coordinate system
  2. Identify variables
  3. Draw picture
  4. Big idea: use chain rule to compute rate of change of distance between two vehicles
  5. Express c in terms of x and y via Pythagorean theorem
  6. Express dc/dt using chain rule in terms of dx/dt and dy/dt
  7. Substitute in x, y, dx/dt, dy/dt
  8. Simplify.

Choose coordinate system: Let the y-axis point North and the x-axis point East.

Identify variables: Define y(t) to be the distance of the vehicle heading North from the origin and x(t) to be the distance of the vehicle heading West from the origin.

Express c in terms of x and y via the Pythagorean theorem:

Express dc/dt using chain rule in terms of dx/dt and dy/dt:

Apply derivative operator to entire function
Square root is outside function; Sum of squares is inside function
Distribute differentiation operator
Apply chain rule to x(t) and y(t)}
Simplify.

Substitute in x = 4 mi, y = 3 mi, dx/dt = −80 mi/hr, dy/dt = 60 mi/hr and simplify

Consequently, the two vehicles are getting closer together at a rate of 28 mi/hr.

Electromagnetic induction of conducting loop spinning in magnetic field

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The magnetic flux through a loop of area A whose normal is at an angle θ to a magnetic field of strength B is

Faraday's law of electromagnetic induction states that the induced electromotive force is the negative rate of change of magnetic flux through a conducting loop.

If the loop area A and magnetic field B are held constant, but the loop is rotated so that the angle θ is a known function of time, the rate of change of θ can be related to the rate of change of (and therefore the electromotive force) by taking the time derivative of the flux relation

If for example, the loop is rotating at a constant angular velocity ω, so that θ = ωt, then

References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia
Related rates is a fundamental topic in that addresses problems where multiple quantities are interconnected through an and change over time, allowing the rate of change of one quantity to be determined from the known rates of the others using differentiation. These problems model real-world scenarios involving dynamic systems, such as the expansion of a or the sliding of a against a , where variables like , , or evolve simultaneously. The method for solving related rates problems relies on the chain rule and implicit differentiation with respect to time, treating all variables as functions of time t. To proceed, one first identifies the given rates (e.g., dV/dt for volume change) and the desired rate (e.g., dr/dt for radius change), then establishes a geometric or algebraic relationship between the variables, such as V = (4/3)πr³ for a . Differentiating this equation implicitly yields expressions linking the derivatives, after which known values are substituted at a specific instant to solve for the unknown rate. Common pitfalls include substituting numerical values before differentiation, which can lead to errors in handling the time-dependent relationships. Applications of related rates extend beyond basic to physics and contexts, such as fluid flow in conical tanks or electrical circuits with changing resistances. For instance, in a conical tank scenario, the rate at which rises can be found given the inflow rate, accounting for the tank's varying cross-section. This technique underscores the power of derivatives in analyzing interconnected rates, forming a bridge between and applied modeling.

Fundamentals

Definition and Core Concept

Related rates problems in calculus involve scenarios where two or more quantities change over time and are interconnected through an equation that relates the variables themselves. Each quantity is expressed as a function of time tt, and the rates of change are the derivatives of these quantities with respect to tt, such as dxdt\frac{dx}{dt} for a variable x(t)x(t). These rates are interdependent because the underlying equation imposes a constraint on how the variables evolve together. The core concept centers on differentiating the constraint with respect to time to reveal the relationships among the rates. Suppose variables xx, yy, and zz are related by an f(x,y,z)=0f(x, y, z) = 0, where each depends on time tt. Then, the with respect to tt yields: dfdt=fxdxdt+fydydt+fzdzdt=0.\frac{df}{dt} = \frac{\partial f}{\partial x} \frac{dx}{dt} + \frac{\partial f}{\partial y} \frac{dy}{dt} + \frac{\partial f}{\partial z} \frac{dz}{dt} = 0. This equation demonstrates how the rates dxdt\frac{dx}{dt}, dydt\frac{dy}{dt}, and dzdt\frac{dz}{dt} are linked through the partial derivatives of the original function ff. By applying this differentiation, one rate can be isolated and expressed in terms of the others, illustrating the "related" nature of the changes. The approach builds on the chain rule as a foundational tool from single-variable . The origins of related rates trace back to 17th-century applications of by and to problems involving motion and .

Prerequisites in Calculus

In single-variable calculus, the of a function x(t)x(t) with respect to time tt, denoted dxdt\frac{dx}{dt}, represents the instantaneous rate of change of xx at a specific point, obtained as the limit of the rate of change over an infinitesimally small interval. This concept extends to physical interpretations, such as as the rate of change of position. The chain rule provides a method for differentiating composite functions, stating that if y=f(g(t))y = f(g(t)), then dydt=f(g(t))g(t)\frac{dy}{dt} = f'(g(t)) \cdot g'(t), where the derivative of the outer function is evaluated at the inner function and multiplied by the derivative of the inner function. For instance, if position s(t)=t2s(t) = t^2, then velocity v(t)=dsdt=2tv(t) = \frac{ds}{dt} = 2t, illustrating how the chain rule composes rates in sequences like acceleration from velocity. Implicit differentiation applies the chain rule to equations not explicitly solved for one variable, differentiating both sides with respect to an independent variable while treating dependent variables as functions of it. For the equation x2+y2=r2x^2 + y^2 = r^2, differentiating yields 2xdxdt+2ydydt=02x \frac{dx}{dt} + 2y \frac{dy}{dt} = 0, relating the rates dxdt\frac{dx}{dt} and dydt\frac{dy}{dt}. In , partial derivatives measure the rate of change of a function with respect to one variable while holding others constant; for f(x,y)f(x, y), fx\frac{\partial f}{\partial x} treats yy as fixed and computes the as in single-variable calculus. This isolates individual influences in functions of multiple variables. Consistency of units is essential when working with rates, ensuring that derivatives like dxdt\frac{dx}{dt} have dimensions matching the physical context, such as length per time for , to maintain dimensional homogeneity across equations.

Problem-Solving Approach

General Procedure

The general procedure for solving related rates problems provides a structured approach to determine how the rates of change of related quantities vary with time, typically using implicit differentiation as the core differentiation method. This method applies to scenarios where multiple variables are interconnected through an , and their time derivatives must be related. The process emphasizes evaluating relationships at a specific instant to capture instantaneous rates, rather than deriving general functional forms that hold for all times. To begin, identify the known and unknown quantities along with their associated rates of change with respect to time tt. For instance, given the rate dxdt\frac{dx}{dt} for one variable, the goal might be to find dydt\frac{dy}{dt} for another. Assign symbols to all relevant variables, which are functions of time, and note any provided numerical values or rates at the particular moment in question. Next, formulate an equation that relates the variables at the specific instant, often derived from geometric constraints, physical laws, or other contextual relationships, such as the for right triangles. This equation captures the instantaneous connection without incorporating time explicitly at this stage. Sketching a can aid visualization, helping to clarify spatial or conceptual relationships and ensure all variables are accounted for. Then, differentiate both sides of the equation with respect to time tt, applying the chain rule to each term involving a variable that depends on tt. This step produces a new linking the original variables to their time derivatives, such as dxdt\frac{dx}{dt} and dydt\frac{dy}{dt}. Substitute the known values for the variables and their rates at the given instant into the differentiated . Finally, solve the resulting algebraically for the unknown rate. This evaluation at a precise time ensures the solution reflects the rates at that moment, avoiding complications from evolving relationships over extended periods.

Implicit Differentiation Technique

In related rates problems, variables are often connected through a constraint that implicitly defines one variable as a function of the others and time, such as g(x,y,t)=0g(x, y, t) = 0. To derive the relationships between their rates of change, implicit differentiation is applied by differentiating both sides of the with respect to time tt, treating all as functions of tt. This yields gxdxdt+gydydt+gt=0\frac{\partial g}{\partial x} \frac{dx}{dt} + \frac{\partial g}{\partial y} \frac{dy}{dt} + \frac{\partial g}{\partial t} = 0, where the partial derivatives account for the chain rule applied to each term. If the constraint equation has no explicit dependence on time tt, the term gt\frac{\partial g}{\partial t} simplifies to zero, reducing the equation to gxdxdt+gydydt=0\frac{\partial g}{\partial x} \frac{dx}{dt} + \frac{\partial g}{\partial y} \frac{dy}{dt} = 0. This form highlights how the rates dxdt\frac{dx}{dt} and dydt\frac{dy}{dt} are interrelated through the geometry or physics of the constraint. For instance, consider the equation x2+y2=25x^2 + y^2 = 25, which represents a of 5. Differentiating implicitly with respect to tt gives 2xdxdt+2ydydt=02x \frac{dx}{dt} + 2y \frac{dy}{dt} = 0, which can be solved for dydt=xydxdt\frac{dy}{dt} = -\frac{x}{y} \frac{dx}{dt}, showing that the rate of change of yy is proportional to that of xx but opposite in direction./02%3A_The_Derivative/2.12%3A_Implicit_Differentiation_and_Related_Rates) This technique is equivalent to applying the to the , where ddtg(x(t),y(t),t)=0\frac{d}{dt} g(x(t), y(t), t) = 0, ensuring the constraint holds at every instant. Common errors in this process include neglecting the when differentiating composite terms, such as treating x2x^2 as having $2xwithoutmultiplyingbywithout multiplying by\frac{dx}{dt},orincorrectlyhandlingconstantsbydifferentiatingthemwithrespectto, or incorrectly handling constants by differentiating them with respect to t$. These mistakes can lead to incorrect rate relationships, emphasizing the need to systematically apply the multivariable .

Basic Examples

Sliding Ladder Scenario

The sliding ladder scenario serves as a foundational example of related rates in , demonstrating how the rates of change of interconnected geometric quantities can be analyzed using implicit differentiation. In this problem, a 10-foot leans against a vertical wall, with its base on the horizontal ground, forming a . The bottom of the is pulled away from the wall at a constant rate of 2 feet per second, and the task is to find the rate at which the top of the slides down the wall when the base is 6 feet from the wall. This setup highlights the constraint imposed by the 's fixed length, which relates the horizontal (base) and vertical (height) over time. Let xx represent the horizontal distance from the wall to the base of the ladder, and yy the vertical distance from the ground to the top of the ladder. The Pythagorean theorem provides the governing equation: x2+y2=102=100.x^2 + y^2 = 10^2 = 100. Differentiating both sides implicitly with respect to time tt (in seconds) gives: 2xdxdt+2ydydt=0,2x \frac{dx}{dt} + 2y \frac{dy}{dt} = 0, which simplifies to: xdxdt+ydydt=0.x \frac{dx}{dt} + y \frac{dy}{dt} = 0. At the moment when x=6x = 6 feet, y=10062=64=8y = \sqrt{100 - 6^2} = \sqrt{64} = 8
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