If xy = 4225 where x, y are natural numbers, then what is the minimum value of x + y ?
130
The problem asks for the minimum value of the sum \(x + y\) given that \(x\) and \(y\) are natural numbers (positive integers) and their product \(xy\) is equal to 4225.
To find the minimum value of \(x + y\), we need to consider the pairs of natural numbers \(x\) and \(y\) whose product is 4225. These pairs are essentially the factor pairs of 4225.
When the product of two positive numbers is fixed, their sum is smallest when the numbers are as close to each other as possible. If the numbers can be equal, the minimum sum occurs when they are equal. If they cannot be equal, the minimum sum occurs when they are the pair of factors closest to the square root of the product.
In this case, the product is 4225. Let's find the square root of 4225: \[ \sqrt{4225} \] We can find this by prime factorization.
Let's break down 4225 into its prime factors:
So, the prime factorization of 4225 is \(5 \times 5 \times 13 \times 13 = 5^2 \times 13^2\).
The square root of 4225 is \(\sqrt{5^2 \times 13^2} = \sqrt{(5 \times 13)^2} = 5 \times 13 = 65\).
Since \(\sqrt{4225} = 65\), the minimum value of \(x + y\) will occur when \(x\) and \(y\) are equal to 65, provided that 65 is a natural number, which it is. And \(65 \times 65 = 4225\).
Let's list the pairs of natural numbers \(x\) and \(y\) such that \(xy = 4225\) and calculate their sums \(x + y\). The factors of \(4225 = 5^2 \times 13^2\) are \(5^a \times 13^b\) where \(0 \le a \le 2\) and \(0 \le b \le 2\).
| \(x\) | \(y\) | \(x + y\) |
|---|---|---|
| \(1\) | \(4225\) | \(1 + 4225 = 4226\) |
| \(5\) | \(845\) | \(5 + 845 = 850\) |
| \(13\) | \(325\) | \(13 + 325 = 338\) |
| \(25\) | \(169\) | \(25 + 169 = 194\) |
| \(65\) | \(65\) | \(65 + 65 = 130\) |
(Note: Other pairs like (169, 25), (325, 13), etc., will just be the reverse, giving the same sum).
Comparing the sums calculated: 4226, 850, 338, 194, and 130.
The minimum value among these sums is 130. This occurs when \(x = 65\) and \(y = 65\).
This confirms the principle that for a fixed product, the sum of two positive numbers is minimized when the numbers are equal or as close to each other as possible. Since \(4225 = 65 \times 65\), \(x=65\) and \(y=65\) is a valid pair of natural numbers satisfying \(xy = 4225\), and it gives the minimum sum.
The minimum value of \(x + y\) when \(xy = 4225\) and \(x, y\) are natural numbers is 130.
| Concept | Description |
|---|---|
| Natural Numbers | Positive integers (1, 2, 3, ...). |
| Factors | Numbers that divide evenly into another number. For \(xy=N\), \(x\) and \(y\) are factors of \(N\). |
| Prime Factorization | Expressing a number as a product of its prime factors. Essential for finding all factors. |
| Minimizing Sum for Fixed Product | For a fixed product of two positive numbers, their sum is minimized when the numbers are equal or closest to each other. |
| Square Root and Factors | The square root of a number \(N\) helps find the pair of factors \(x, y\) of \(N\) that are closest to each other. |
The relationship between the sum and product of numbers is a fundamental concept in mathematics, often explored using inequalities. For two positive numbers \(x\) and \(y\), the Arithmetic Mean (AM) is \(\frac{x+y}{2}\) and the Geometric Mean (GM) is \(\sqrt{xy}\).
The AM-GM inequality states that for non-negative numbers, the Arithmetic Mean is always greater than or equal to the Geometric Mean: \[ \frac{x+y}{2} \ge \sqrt{xy} \] Equality holds if and only if \(x = y\).
If the product \(xy\) is fixed at \(P\), the inequality becomes: \[ \frac{x+y}{2} \ge \sqrt{P} \] \[ x+y \ge 2\sqrt{P} \]
This inequality shows that the minimum value of \(x + y\) is \(2\sqrt{P}\), and this minimum is achieved when \(x = y = \sqrt{P}\).
In our problem, \(P = 4225\). The minimum sum is \(2\sqrt{4225} = 2 \times 65 = 130\). This minimum is achieved when \(x = y = \sqrt{4225} = 65\). Since 65 is a natural number, this minimum value is attainable for natural numbers \(x\) and \(y\).
Understanding this relationship helps solve problems involving optimizing sums or products of numbers under certain conditions.
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