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The inequality x(lambda - x)lt y(lambda ...

The inequality `x(lambda - x)lt y(lambda - y)AA x, y` with `x lt y lt 1` is always true if

A

`lambda le 2`

B

`lambda ge 2`

C

`lambda lt -1`

D

for no value of `lambda`

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To solve the inequality \( x(\lambda - x) < y(\lambda - y) \) given the conditions \( x < y < 1 \), we will follow these steps: ### Step 1: Rewrite the Inequality Start with the original inequality: \[ x(\lambda - x) < y(\lambda - y) \] This can be rewritten as: \[ x\lambda - x^2 < y\lambda - y^2 \] ### Step 2: Rearrange the Terms Rearranging gives us: \[ x\lambda - y\lambda < x^2 - y^2 \] Factoring both sides, we have: \[ \lambda(x - y) < x^2 - y^2 \] ### Step 3: Factor the Right Side The right side can be factored using the difference of squares: \[ x^2 - y^2 = (x - y)(x + y) \] Substituting this back into the inequality gives: \[ \lambda(x - y) < (x - y)(x + y) \] ### Step 4: Divide by \( (x - y) \) Since \( x < y \), we know \( x - y < 0 \). Thus, we can divide both sides by \( (x - y) \) and reverse the inequality: \[ \lambda > x + y \] ### Step 5: Consider the Range of \( x \) and \( y \) Given that \( x < y < 1 \), we know that both \( x \) and \( y \) are less than 1. Therefore, the maximum value of \( x + y \) occurs when both \( x \) and \( y \) approach 1. Hence, we can conclude: \[ x + y < 2 \] This implies: \[ \lambda > x + y \quad \text{and} \quad x + y < 2 \implies \lambda < 2 \] ### Step 6: Final Condition Combining the results, we find that for the inequality to hold true under the given conditions, we need: \[ \lambda < 2 \] ### Conclusion Thus, the inequality \( x(\lambda - x) < y(\lambda - y) \) is always true if: \[ \lambda < 2 \]

To solve the inequality \( x(\lambda - x) < y(\lambda - y) \) given the conditions \( x < y < 1 \), we will follow these steps: ### Step 1: Rewrite the Inequality Start with the original inequality: \[ x(\lambda - x) < y(\lambda - y) \] This can be rewritten as: ...
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