Problem 18
Question
If \(f: R \rightarrow R\) satisfies \(f(x+y)=f(x)+f(y)\), for all \(x\), \(y \in R\) and \(f(1)=7\), then \(\sum_{r=1}^{n} f(r)\) is (a) \(\frac{7 n(n+1)}{2}\) (b) \(\frac{7 n}{2}\) (c) \(\frac{7(n+1)}{2}\) (d) \(7 n+(n+1)\)
Step-by-Step Solution
Verified Answer
Option (a): \(\frac{7n(n+1)}{2}\).
1Step 1: Understanding Function Property
We are given the functional equation \( f(x+y) = f(x) + f(y) \). This is known as Cauchy's functional equation. The given solution for \( f(1) = 7 \) can be used to find \( f(n) \) for any integer.
2Step 2: Determine Function Form for Integers
Since \( f(1) = 7 \) and the equation holds additively, we can deduce that \( f(n) = n \cdot f(1) = 7n \) for all integers \( n \) by induction or by recognizing the homogeneity of linear functions.
3Step 3: Setup the Summation
We want to find \( \sum_{r=1}^{n} f(r) \). Knowing that \( f(r) = 7r \), this becomes \( \sum_{r=1}^{n} 7r \).
4Step 4: Simplify the Summation
Factor out the constant: \( 7\sum_{r=1}^{n} r \). Recognize that \( \sum_{r=1}^{n} r \) is the formula for the sum of the first \( n \) integers, which is \( \frac{n(n+1)}{2} \).
5Step 5: Calculate Final Expression
Substitute back: \( 7 \cdot \frac{n(n+1)}{2} = \frac{7n(n+1)}{2} \). This represents the value of the summation.
Key Concepts
Additive FunctionsHomogeneity of Linear FunctionsSummation of Integers
Additive Functions
Additive functions are a special class of functions characterized by the property that the function value of a sum is equal to the sum of the function values: \(f(x+y) = f(x) + f(y)\). This property is a central feature of Cauchy's functional equation. When a function satisfies this equation, it's said to be 'additive'.
For an additive function, it's important to realize that the property holds for all real numbers. This means that the output of the function conserves how inputs are added or subtracted. It's like the function respects the arithmetic operations we do between input numbers. In our exercise case, knowing that \(f(1)=7\) allows us to derive all values of \(f(n)\) using the additive property. Since \(f(n)\) is systematically built by adding \(f(1)\) repeatedly, \(f(n)\) simplifies to \(7n\). This realization is critical in fully utilizing the nature of additive functions.
For an additive function, it's important to realize that the property holds for all real numbers. This means that the output of the function conserves how inputs are added or subtracted. It's like the function respects the arithmetic operations we do between input numbers. In our exercise case, knowing that \(f(1)=7\) allows us to derive all values of \(f(n)\) using the additive property. Since \(f(n)\) is systematically built by adding \(f(1)\) repeatedly, \(f(n)\) simplifies to \(7n\). This realization is critical in fully utilizing the nature of additive functions.
Homogeneity of Linear Functions
The homogeneity of linear functions means that for any scalar multiple, the output of a function can simply be the scalar times the image of the function. In the context of our exercise, after recognizing that \(f(x)\) follows the additive rule, we can claim it adheres to homogeneity of a linear function.
This means if \( f(1) = 7 \), then \( f(n) \) for any integer \( n \) would be \( f(n) = n \cdot f(1) = 7n \). This is a key insight that stems from the homogeneity principle. Here, the constant \(7\) is a scalar multiplier that adjusts \( n \), maintaining the linearity—the straight proportionality of the function. This understanding simplifies our function evaluation processes across various inputs.
This means if \( f(1) = 7 \), then \( f(n) \) for any integer \( n \) would be \( f(n) = n \cdot f(1) = 7n \). This is a key insight that stems from the homogeneity principle. Here, the constant \(7\) is a scalar multiplier that adjusts \( n \), maintaining the linearity—the straight proportionality of the function. This understanding simplifies our function evaluation processes across various inputs.
Summation of Integers
The summation of integers is a concept frequently encountered in mathematics, where we aim to find the total sum of a sequence of numbers. A common formula used for this is the sum of the first \( n \) natural numbers, given by \( \sum_{r=1}^{n}r = \frac{n(n+1)}{2} \).
In the original problem, we used this summation concept to find \( \sum_{r=1}^{n} f(r) \), knowing that \( f(r) = 7r \). We factored out the constant \(7\) and applied the formula for the sum of the first \( n \) integers, leading us to \( 7 \times \frac{n(n+1)}{2} \). This result, \( \frac{7n(n+1)}{2} \), elegantly utilizes both the linear nature of the function \(f\) and the classical summation of natural numbers. Recognizing this formula is crucial as it effectively summarizes the sum of outputs from an additive function across a specified range.
In the original problem, we used this summation concept to find \( \sum_{r=1}^{n} f(r) \), knowing that \( f(r) = 7r \). We factored out the constant \(7\) and applied the formula for the sum of the first \( n \) integers, leading us to \( 7 \times \frac{n(n+1)}{2} \). This result, \( \frac{7n(n+1)}{2} \), elegantly utilizes both the linear nature of the function \(f\) and the classical summation of natural numbers. Recognizing this formula is crucial as it effectively summarizes the sum of outputs from an additive function across a specified range.
Other exercises in this chapter
Problem 14
Let \(f(n)=\left[\frac{1}{3}+\frac{3 n}{100}\right] n\), where \([\mathrm{n}]\) denotes the greatest integer less than or equal to \(n\). Then \(\sum_{n=1}^{56}
View solution Problem 17
The graph of the function \(y=f(x)\) is symmetrical about the line \(x=2\), then \(\quad\) [2004] (a) \(f(x)=-f(-x)\) (b) \(f(2+x)=f(2-x)\) (c) \(f(x)=f(-x)\) (
View solution Problem 12
If \(f(x)=\log _{e}\left(\frac{1-x}{1+x}\right),|x|
View solution