Math Problem Statement

The temperature at a point is given by where is measured in and , , and in meters.

  1. Find the rate of change of the temperature at the point in the direction toward the point

Answer:

  1. In what direction does the temperature increase fastest at ? Answer:

  2. Find the maximum rate of increase at . Answer:

Solution

The problem you're tackling involves the gradient of the temperature function T(x,y,z)T(x, y, z). The gradient will help us find the rate of change in various directions and the direction of the maximum temperature increase.

Let's go through each part step by step:

1. Find the rate of change of the temperature at the point (2,1,2)(2, 1, 2) in the direction toward the point (3,3,3)(3, 3, 3)

The rate of change of temperature in a given direction is given by the directional derivative, which is calculated using the gradient of the temperature function and the unit vector in the direction of the point.

Steps:

  • Find the gradient of T(x,y,z)T(x, y, z): T(x,y,z)\nabla T(x, y, z).
  • Find the unit vector in the direction from (2,1,2)(2, 1, 2) to (3,3,3)(3, 3, 3).
  • Compute the directional derivative using the formula: DuT=T(x,y,z)uD_{\mathbf{u}} T = \nabla T(x, y, z) \cdot \mathbf{u} where u\mathbf{u} is the unit vector in the given direction.

2. In what direction does the temperature increase fastest at (2,1,2)(2, 1, 2)?

The direction of fastest temperature increase is always in the direction of the gradient vector, T(x,y,z)\nabla T(x, y, z), evaluated at the point (2,1,2)(2, 1, 2).

3. Find the maximum rate of increase at (2,1,2)(2, 1, 2)

The maximum rate of increase is the magnitude of the gradient at the point (2,1,2)(2, 1, 2), which is given by: Maximum rate of increase=T(2,1,2)\text{Maximum rate of increase} = |\nabla T(2, 1, 2)|

Could you please provide the temperature function T(x,y,z)T(x, y, z) so we can compute these values accurately?

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Math Problem Analysis

Mathematical Concepts

Multivariable Calculus
Gradient
Directional Derivatives
Rate of Change

Formulas

Directional Derivative: D_𝒖 T = ∇T(x, y, z) · 𝒖
Gradient: ∇T(x, y, z) = (∂T/∂x, ∂T/∂y, ∂T/∂z)
Maximum rate of increase: |∇T(x, y, z)|

Theorems

The gradient of a scalar field points in the direction of the steepest ascent.
The directional derivative formula gives the rate of change of a scalar function in a specific direction.

Suitable Grade Level

University Level - Multivariable Calculus