3.3 Intermediate Value Theorem

3 min readjuly 22, 2024

The is a powerful tool in calculus, guaranteeing that continuous functions take on all values between their endpoints. It's like a bridge connecting the dots of a function, ensuring no gaps or jumps exist.

This theorem helps us prove the existence of solutions to equations and approximate roots. It's super useful in real-world applications, from finding equilibrium prices in economics to predicting object collisions in physics.

The Intermediate Value Theorem

Intermediate Value Theorem statement

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  • States if a function ff is continuous on a [a,b][a, b] and f(a)f(b)f(a) \neq f(b), then for any value yy between f(a)f(a) and f(b)f(b), there exists a value cc in the (a,b)(a, b) such that f(c)=yf(c) = y
  • Intuitively means a continuous function takes on all values between its endpoints without any gaps or jumps
  • Applies to real-valued functions that are continuous on a closed interval
  • Examples:
    • If a continuous function has values of -1 and 5 at the endpoints of [0,2][0, 2], it must also take on the values 0, 1, 2, 3, and 4 somewhere within the interval
    • The function f(x)=x3xf(x) = x^3 - x on the interval [1,1][-1, 1] satisfies the conditions of the IVT

Proving equation solutions

  • To prove an equation f(x)=yf(x) = y has a solution using the IVT:
    • Identify an interval [a,b][a, b] where the function ff is continuous
    • Verify that f(a)f(a) and f(b)f(b) lie on opposite sides of the target value yy
      • Either f(a)<y<f(b)f(a) < y < f(b) or f(b)<y<f(a)f(b) < y < f(a)
    • The IVT guarantees the existence of a value c(a,b)c \in (a, b) such that f(c)=yf(c) = y, proving the equation has at least one solution
  • Examples:
    • To show x3x1=0x^3 - x - 1 = 0 has a solution between 1 and 2, note f(1)=1<0f(1) = -1 < 0 and f(2)=5>0f(2) = 5 > 0
    • Proving sin(x)=0.5\sin(x) = 0.5 has a solution on [0,π][0, \pi] since sin(0)=0<0.5<1=sin(π/2)\sin(0) = 0 < 0.5 < 1 = \sin(\pi/2)

Root approximation with IVT

  • To approximate a root of a continuous function ff on an interval [a,b][a, b]:
    • Confirm f(a)f(a) and f(b)f(b) have opposite signs, ensuring the existence of a root by the IVT
    • Bisect the interval at the midpoint m=a+b2m = \frac{a + b}{2} and evaluate f(m)f(m)
      • If f(m)=0f(m) = 0, then mm is the exact root
      • If f(m)f(m) has the same sign as f(a)f(a), the root lies in the right half-interval [m,b][m, b]
      • If f(m)f(m) has the same sign as f(b)f(b), the root lies in the left half-interval [a,m][a, m]
    • Iteratively repeat the bisection process with the new, smaller interval until the desired precision is achieved
  • This method is known as the or
  • Examples:
    • Approximating a root of f(x)=x22f(x) = x^2 - 2 on [1,2][1, 2] since f(1)<0f(1) < 0 and f(2)>0f(2) > 0
    • Finding a solution to cos(x)=x\cos(x) = x on [0,1][0, 1] as cos(0)>0\cos(0) > 0 and cos(1)<1\cos(1) < 1

Applications of Intermediate Value Theorem

  • The IVT has numerous real-world applications in fields such as physics, engineering, and economics, where continuous functions model various phenomena
    • Proving the existence of solutions to equations describing physical systems
      • Demonstrating the existence of a time when a projectile reaches a specific height
      • Showing two objects must collide or meet at some point in time
    • Approximating zeros or roots of continuous functions representing physical quantities
      • Finding the equilibrium price that balances supply and demand in a market
      • Locating the neutral buoyancy depth of a submarine
  • Steps to solve application problems using the IVT:
    1. Recognize the continuous function ff and the target value yy in the context of the problem
    2. Establish a closed interval [a,b][a, b] where ff is continuous and f(a)f(a) and f(b)f(b) fall on opposite sides of yy
    3. Conclude the existence of a solution or approximate the solution using the bisection method
  • Examples:
    • A ball thrown upward must reach a height of 5 meters at some point if its initial height is 0 meters and its peak height is 10 meters
    • The temperature in a room must equal the thermostat setting at some point if the room starts cooler than the setting and later becomes warmer than the setting

Key Terms to Review (18)

Binary Search: Binary search is an efficient algorithm for finding a target value within a sorted array or list. It works by repeatedly dividing the search interval in half, eliminating half of the elements from consideration in each step until the target value is found or the interval is empty. This method is closely related to concepts of continuity and change, which can be analyzed using principles like the Intermediate Value Theorem.
Bisection Method: The bisection method is a numerical technique used to find roots of a continuous function by repeatedly dividing an interval in half and selecting the subinterval where the function changes sign. This method is grounded in the Intermediate Value Theorem, which asserts that if a continuous function takes on opposite signs at two points, there is at least one root in that interval. The bisection method systematically narrows down the possible location of the root until it is approximated to a desired level of accuracy.
Boundedness: Boundedness refers to the property of a function where its output values remain confined within a specific range, meaning that there exists a real number that serves as both an upper and a lower limit for those values. This concept is crucial when discussing the behavior of functions, particularly in relation to continuity, limits, and optimization, as it helps determine whether functions exhibit certain characteristics over given intervals.
Closed Interval: A closed interval is a range of numbers that includes both its endpoints, denoted as $$[a, b]$$, where $$a$$ and $$b$$ are the minimum and maximum values respectively. This concept is crucial when discussing properties of continuous functions, as well as theorems that depend on the behavior of functions within specified limits. A closed interval ensures that both the starting point and the ending point are included in any calculations or conclusions drawn from the analysis of a function over that interval.
Continuity: Continuity in mathematics refers to a property of a function where it does not have any breaks, jumps, or holes over its domain. A function is continuous at a point if the limit of the function as it approaches that point equals the function's value at that point. This concept is crucial because it ensures that the behavior of functions can be analyzed smoothly, impacting several important mathematical principles and theorems.
Finding a root: Finding a root refers to the process of determining the values of a variable for which a given function equals zero. This concept is crucial in understanding the behavior of functions, as roots indicate where the graph of the function intersects the x-axis. Roots play an essential role in various mathematical applications, particularly when using methods such as the Intermediate Value Theorem to guarantee the existence of these roots within specific intervals.
Function Must Be Continuous: A function must be continuous if it does not have any breaks, jumps, or holes in its graph. Continuity ensures that small changes in the input result in small changes in the output, which is essential for applying certain mathematical theorems and principles. This property is particularly important because it guarantees that a function can take on every value between two points in its domain, making it a critical aspect of understanding limits and behavior of functions.
Graph of a Continuous Function: The graph of a continuous function is a visual representation of a function where there are no breaks, jumps, or holes in the curve. This means that for every point on the graph, small changes in the input (x-values) will lead to small changes in the output (y-values), indicating that the function behaves predictably across its entire domain. This characteristic is crucial for understanding concepts like limits and the Intermediate Value Theorem, which rely on the continuity of functions to establish properties about their behavior over intervals.
Horizontal Line Test: The horizontal line test is a method used to determine if a function is one-to-one, which means that each output corresponds to exactly one input. If any horizontal line intersects the graph of the function more than once, the function fails the test and is not one-to-one. This concept is crucial in understanding how functions behave, especially when discussing inverse functions and their properties.
Intermediate Value Theorem: The Intermediate Value Theorem states that for any continuous function defined on a closed interval, if the function takes on two values at the endpoints of the interval, it must also take on every value between those two values at some point within that interval. This concept is fundamentally tied to the properties of continuous functions and the definition of continuity, illustrating how these ideas interact in real analysis.
Intermediate Values: Intermediate values refer to the concept that within a continuous function, if it takes on two values at two points, it must also take on every value between those two points. This idea is foundational in understanding how functions behave and is closely related to the Intermediate Value Theorem, which guarantees that for any value between the outputs of a continuous function, there exists an input that produces that output.
Monotonicity: Monotonicity refers to the behavior of a function in terms of whether it consistently increases or decreases over a certain interval. If a function is monotonic increasing, it means that as the input values grow larger, the output values either stay the same or increase. Conversely, if a function is monotonic decreasing, the output values either stay the same or decrease as the input values grow. Understanding monotonicity is crucial for determining the existence of solutions and behaviors of functions, especially when applying key concepts like the Intermediate Value Theorem.
Open Interval: An open interval is a set of real numbers that includes all numbers between two endpoints, but does not include the endpoints themselves. This concept is crucial in understanding properties of continuous functions and the Intermediate Value Theorem, as it allows for the analysis of values within a range without being confined to the endpoints, leading to insights about behavior and continuity in mathematical functions.
Polynomial Functions: Polynomial functions are mathematical expressions that represent relationships involving variables raised to whole number powers, where the coefficients can be real or complex numbers. They are continuous and smooth across their domain, making them crucial in calculus for understanding derivatives, integrals, and behavior of functions.
Proving Existence of Solutions: Proving existence of solutions involves demonstrating that a solution to a given mathematical problem, such as an equation or a system of equations, actually exists under specified conditions. This concept is crucial in calculus and analysis, particularly when determining if functions cross certain values or meet specific criteria, allowing us to confirm that solutions are not only theoretical but can also be found in practice.
Rational Functions: Rational functions are functions that can be expressed as the ratio of two polynomials, typically written in the form $$R(x) = \frac{P(x)}{Q(x)}$$ where $$P(x)$$ and $$Q(x)$$ are polynomials and $$Q(x) \neq 0$$. These functions are important because they can exhibit unique behaviors such as asymptotes, discontinuities, and varying end behavior. Understanding rational functions helps in analyzing their limits, differentiating them, and applying the Intermediate Value Theorem effectively.
Root-Finding Techniques: Root-finding techniques are mathematical methods used to determine the values of variables that make a given function equal to zero. These techniques are essential for solving equations in various fields, as they help identify the points where a function intersects the x-axis. By leveraging properties like continuity and differentiability, these methods allow for systematic exploration of functions to find their roots, which can be real or complex.
Values at Endpoints: Values at endpoints refer to the function values calculated at the boundaries of a given interval. These values are crucial for understanding the behavior of a function within that interval, especially when identifying maximum and minimum points. Evaluating a function at its endpoints can provide insights into whether the overall behavior of the function is increasing or decreasing across the interval.
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