Calculating the Directional Derivative of T at (1,1,2)

In summary, the conversation discusses the calculation of the gradient of a function T(x,y,z) and its application in finding the directional derivative. It also introduces two functions, T1 and T2, and calculates their cross product to find the unit normal vector. Finally, it provides a formula for finding the directional derivative in terms of the unit normal vector and the given function.
  • #1
twoflower
368
0
[tex]
T(x,y,z) = x^2 - y^2 + z^2 + xz^2
[/tex]

[tex]
3x^2 - y^2 - z = 0
[/tex]

[tex]
2x^2 + 2y^2 - z^2 = 0
[/tex]

[tex]
\bigtriangledown T (x,y,z) = (2x + z^2, -2y, 2z(1+x))
[/tex]
[tex]
\bigtriangledown T (1,1,2) = 2(3, -1, 4)
[/tex]
[tex]
D_{\overrightarrow{v}}(1,1,2) = \bigtriangledown T(1,1,2).\overrightarrow{v} = 2(3v_1 - v_2 + 4v_3)
[/tex]
[tex]
T_1 = (6x, -2y, -1)
[/tex]
[tex]
T_2 = (4x, 4y, -2z)
[/tex]
[tex]
T_1 = (6, -2, -1)
[/tex]
[tex]
T_2 = (4, 4, -4)
[/tex]
[tex]
\overrightarrow{n} = T_1\ \mbox{x}\ T_2 = (12, 20, 32) = 4(3,5,8)
[/tex]
[tex]
||\overrightarrow{n}|| = 4\sqrt{9 + 25 + 64} = 28\sqrt{2}
[/tex]
[tex]
\frac{2.7.4}{28\sqrt{2}} (3.3 - 5 + 4.8) = 33\sqrt{2} \frac{°C}{s}
[/tex]
 
Last edited:
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  • #2
I don't know how to delete my thread, I was preparing the TeX graphics and in the meanwhile I already found the solution...please could someone delete it?

Thank you and sorry.
 

1. What is the directional derivative of T at (1,1,2)?

The directional derivative of T at (1,1,2) measures the rate of change of the function T in the direction of a specified vector at the point (1,1,2). It is denoted by ∇T and is calculated using the gradient of T at (1,1,2) and the specified direction vector.

2. How do you calculate the directional derivative of T at (1,1,2)?

To calculate the directional derivative of T at (1,1,2), you first need to find the gradient of T at (1,1,2). Then, dot product the gradient with the specified direction vector. The result will be the value of the directional derivative at (1,1,2).

3. What is the significance of the directional derivative of T at (1,1,2)?

The directional derivative of T at (1,1,2) is significant because it tells us the rate of change of the function T in a specific direction at the point (1,1,2). This can be useful in applications such as optimization and modeling.

4. Can the directional derivative of T at (1,1,2) be negative?

Yes, the directional derivative of T at (1,1,2) can be negative. This means that the function T is decreasing in the direction of the specified vector at the point (1,1,2).

5. How does the directional derivative of T at (1,1,2) relate to the partial derivatives of T?

The directional derivative of T at (1,1,2) is related to the partial derivatives of T through the gradient of T. The gradient is a vector that contains the partial derivatives of T with respect to each variable. The directional derivative can be calculated by taking the dot product of the gradient and the specified direction vector.

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