What are the extrema and saddle points of #f(x)=2x^2 lnx#?
The domain of definition of:
Evaluate the first and second derivatives of the function:
The critical points are the solutions of:
In this point:
so the critical point is a local minimum.
The saddle points are the solutions of:
graph{2x^2lnx [-0.2943, 0.9557, -0.4625, 0.1625]}
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To find the extrema and saddle points of ( f(x) = 2x^2 \ln(x) ), we first need to find its critical points by setting the derivative equal to zero and solving for ( x ). Then, we'll use the second derivative test to determine the nature of these critical points.
The first derivative of ( f(x) ) with respect to ( x ) is:
[ f'(x) = 4x \ln(x) + \frac{2x}{x} = 4x \ln(x) + 2 ]
Setting ( f'(x) = 0 ), we get:
[ 4x \ln(x) + 2 = 0 ]
[ 4x \ln(x) = -2 ]
[ \ln(x) = -\frac{1}{2} ]
[ x = e^{-\frac{1}{2}} ]
Now, let's find the second derivative of ( f(x) ) to use the second derivative test:
[ f''(x) = 4 \ln(x) + 4x \times \frac{1}{x} = 4 \ln(x) + 4 ]
At ( x = e^{-\frac{1}{2}} ), ( f''(x) ) is:
[ f''(e^{-\frac{1}{2}}) = 4 \ln(e^{-\frac{1}{2}}) + 4 = 4 \times (-\frac{1}{2}) + 4 = -2 + 4 = 2 ]
Since ( f''(e^{-\frac{1}{2}}) > 0 ), the function has a local minimum at ( x = e^{-\frac{1}{2}} ). Hence, ( (e^{-\frac{1}{2}}, f(e^{-\frac{1}{2}})) ) is the point of minimum.
There are no other critical points, so there are no additional extrema or saddle points for this function.
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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.
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