Problem 6
Question
Let \(f\) and \(g\) be integrable on \([a, b]\) (a) Prove that \(\left|\int_{a}^{b} f \cdot g\right| \leq\left(\int_{a}^{b} f^{2}\right)^{\frac{1}{2}} \cdot\left(\int_{a}^{b} g^{2}\right)^{\frac{1}{2}} .\) Hint: Consider separately the cases \(0=\int_{a}^{b}(f-\lambda g)^{2}\) for some \(\lambda \in \mathbf{R}\) and \(0<\) \(\int_{a}^{b}(f-\lambda g)^{2}\) for all \(\lambda \in \mathbf{R}\). (b) If equality holds, must \(f=\lambda g\) for some \(\lambda \in \mathbf{R} ?\) What if \(f\) and \(g\) are continuous?
Step-by-Step Solution
Verified Answer
Proving \( \left| \int_{a}^{b} f g \right| \leq \left( \int_{a}^{b} f^{2} dx \right)^{\frac{1}{2}} \cdot \left( \int_{a}^{b} g^{2} dx \right)^{\frac{1}{2}} \) involves expanding a squared integral and solving the resulting quadratic inequality. If equality holds, then \( f = \lambda g \) almost everywhere, and if \( f \) and \( g \) are continuous, \( f = \lambda g \) for all \( x \) in \( [a, b] \).
1Step 1 - Squaring a Difference
Consider the integral \( \int_{a}^{b} (f - \lambda g)^{2} dx \) for some \( \lambda \) in \( \mathbf{R} \).
2Step 2 - Expanding the Square
Expand the square \( \int_{a}^{b} (f - \lambda g)^{2} dx \) to get \( \int_{a}^{b} (f^{2} - 2\lambda fg + \lambda^{2} g^{2}) dx \).
3Step 3 - Splitting the Integral
Split the expanded integral: \( \int_{a}^{b} f^{2} dx - 2\lambda \int_{a}^{b} fg dx + \lambda^{2} \int_{a}^{b} g^{2} dx \).
4Step 4 - Defining Notation
Define \( I = \int_{a}^{b} fg dx \). The integral becomes: \( \int_{a}^{b} f^{2} dx - 2\lambda I + \lambda^{2} \int_{a}^{b} g^{2} dx \).
5Step 5 - Setting Integral to Zero
Setting the integral to zero: \( \int_{a}^{b} f^{2} dx - 2\lambda I + \lambda^{2} \int_{a}^{b} g^{2} dx = 0 \).
6Step 6 - Solving Quadratic Equation
Consider it as a quadratic equation in \( \lambda \): \( A - 2\lambda I + \lambda^{2} B = 0 \), where \( A = \int_{a}^{b} f^{2} dx \) and \( B = \int_{a}^{b} g^{2} dx \).
7Step 7 - Solving for Lambda
For the discriminant \( \Delta \) of the quadratic equation to be non-negative: \( \Delta = 4I^{2} - 4AB \). Since the square of the integral must be zero or positive, set \( I^{2} \leq AB \).
8Step 8 - Taking the Square Root
Taking the square root of both sides: \( |I| \leq \sqrt{A} \cdot \sqrt{B} \). Substituting back the variables: \( \left| \int_{a}^{b} f g \right| \leq \left( \int_{a}^{b} f^{2} dx \right)^{\frac{1}{2}} \cdot \left( \int_{a}^{b} g^{2} dx \right)^{\frac{1}{2}} \).
9Step 9: Part b Step 1 - Equality Condition
If the equality holds, and since the discriminant must be zero, we have \( \int_{a}^{b} (f - \lambda g)^{2} = 0 \), implying \( f = \lambda g \) almost everywhere.
10Step 10: Part b Step 2 - Continuous Functions
If both \( f \) and \( g \) are continuous, then equality means \( f \) and \( g \) must be proportional everywhere in \( [a, b] \).
Key Concepts
IntegrationQuadratic EquationsProportional FunctionsContinuous Functions
Integration
Integration is a fundamental concept in calculus and is used to find the area under a curve. When we encounter exercises related to the Cauchy-Schwarz inequality, integration helps us evaluate the relationships between functions over an interval. In this exercise, we are given two functions, \( f \) and \( g \), that are defined on the interval \( [a, b] \). We need to integrate the product, squares, and differences of these functions to prove the inequality.
Specifically, we evaluated the integral of the square of the difference \( (f - \lambda g)^2 \), expanded and split it into separate integrals. Make sure to fully understand the integral properties handled in each step to derive the desired inequality effectively.
Specifically, we evaluated the integral of the square of the difference \( (f - \lambda g)^2 \), expanded and split it into separate integrals. Make sure to fully understand the integral properties handled in each step to derive the desired inequality effectively.
Quadratic Equations
Quadratic equations are equations of the form \( ax^2 + bx + c = 0 \). In the context of this exercise, once we expanded the integral of \( (f - \lambda g)^2 \), it resulted in a quadratic in \( \lambda \). We expressed this as \( A - 2\lambda I + \lambda^{2} B = 0 \) with \( A \) and \( B \) being the integrals of squared functions, and \( I \) as the integral of their product.
Solving the quadratic equation involved using the discriminant concept \((b^2 - 4ac)\) to figure out conditions for which this equation holds true or reaches zero. Here, setting the discriminant \( 4I^2 - 4AB \) to be non-negative enabled us to conclude that \( I^2 \leq AB \), leading to our desired result.
Solving the quadratic equation involved using the discriminant concept \((b^2 - 4ac)\) to figure out conditions for which this equation holds true or reaches zero. Here, setting the discriminant \( 4I^2 - 4AB \) to be non-negative enabled us to conclude that \( I^2 \leq AB \), leading to our desired result.
Proportional Functions
Proportional functions are functions that are scalar multiples of one another, represented as \( f = \lambda g \) where \( \lambda \) is a constant. In this problem, understanding proportional functions is crucial for part b of the exercise.
If the equality condition holds in Cauchy-Schwarz inequality, it means the discriminant is zero, i.e., \( \int_{a}^{b} (f - \lambda g)^2 = 0 \). Since the integral of a squared function can only be zero if the function itself is zero almost everywhere, it implies that \( f \) must be some constant multiple of \( g \).
This relationship becomes even more precise if \( f \) and \( g \) are continuous. In such cases, \( f \) and \( g \) must be proportional at every point in the interval \([a, b]\). This continuity ensures that the proportional relationship holds consistently across the domain.
If the equality condition holds in Cauchy-Schwarz inequality, it means the discriminant is zero, i.e., \( \int_{a}^{b} (f - \lambda g)^2 = 0 \). Since the integral of a squared function can only be zero if the function itself is zero almost everywhere, it implies that \( f \) must be some constant multiple of \( g \).
This relationship becomes even more precise if \( f \) and \( g \) are continuous. In such cases, \( f \) and \( g \) must be proportional at every point in the interval \([a, b]\). This continuity ensures that the proportional relationship holds consistently across the domain.
Continuous Functions
Continuous functions are functions that have no breaks, holes, or jumps in their domains. Mathematically, a function \( f \) is continuous at a point \( x = c \) if \( f(c) \) is defined and \( \lim\limits_{x \to c} f(x) = f(c) \). For this exercise, the continuous nature of \( f \) and \( g \) plays a significant role in proving the equality condition in part b.
When both \( f \) and \( g \) are continuous over \( [a, b] \), any relationship derived from the integral equations holds true across every point in that interval. This means if the Cauchy-Schwarz equality holds, \( f \) and \( g \) must be proportional everywhere within \( [a, b] \), rather than just almost everywhere. Thus, the continuity ensures a stronger, more definitive form of the result, making this concept key to understanding the precision of the equality condition.
When both \( f \) and \( g \) are continuous over \( [a, b] \), any relationship derived from the integral equations holds true across every point in that interval. This means if the Cauchy-Schwarz equality holds, \( f \) and \( g \) must be proportional everywhere within \( [a, b] \), rather than just almost everywhere. Thus, the continuity ensures a stronger, more definitive form of the result, making this concept key to understanding the precision of the equality condition.
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