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已知 x>0,y>0,2x+y=1x>0, y>0,2 x+y=1, 则 ( ) A. 4x+2y4^{x}+2^{y} 的最小值为 222 \sqrt{2} B. $\log _{2}...
Mar 8, 2024
已知 x>0, y>0,2 x+y=1, 则 ( ) A. 4x+2y4^{x}+2^{y} 的最小值为 222 \sqrt{2} B. log2x+log2y\log _{2} x+\log _{2} y 的最大值为 -3 C. yxxyy-x-x y 的最小值为 -1 D. 2x2x+2+y2y+1\frac{2 x^{2}}{x+2}+\frac{y^{2}}{y+1} 的最小值为 16\frac{1}{6}
Generated Graph
Solution by Steps
step 2
Using the asksia-ll calculator, the minimum value of 4x+2y 4^x + 2^y subject to the given constraints is 22 2\sqrt{2} at (x,y)=(14,12) (x, y) = \left(\frac{1}{4}, \frac{1}{2}\right)
step 3
To find the maximum value of log2(x)+log2(y) \log_2(x) + \log_2(y) , we again use the given constraints
step 4
The asksia-ll calculator finds the maximum value of log2(x)+log2(y) \log_2(x) + \log_2(y) to be -3 at (x,y)=(14,12) (x, y) = \left(\frac{1}{4}, \frac{1}{2}\right)
step 5
For the function yxxy y - x - xy , we look for the minimum value considering the constraints
step 6
The asksia-ll calculator indicates there is no global minimum, but a local minimum of approximately -0.5 at (x,y)(0.5,0) (x, y) \approx (0.5, 0)
step 7
Finally, we minimize 2x2x+2+y2y+1 \frac{2x^2}{x+2} + \frac{y^2}{y+1} with the constraints
step 8
The asksia-ll calculator determines the minimum value to be 16 \frac{1}{6} at (x,y)=(25,15) (x, y) = \left(\frac{2}{5}, \frac{1}{5}\right)
A
B
D
Key Concept
Optimization with constraints
Explanation
To find the extrema of functions subject to constraints, we can use methods such as Lagrange multipliers or substitution, depending on the complexity of the problem. The asksia-ll calculator has applied such methods to find the optimal values given the constraints.
Key Concept
Logarithmic properties
Explanation
The sum of logarithms is equivalent to the logarithm of the product of the arguments, which is a property used in optimization problems involving logarithmic functions.
Key Concept
Rational function optimization
Explanation
Minimizing a rational function subject to constraints often involves finding common denominators and simplifying the expression before applying optimization techniques.
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