Math Problem Statement
Suppose that the temperature at a point (π₯,π¦,π§) in space is given by π(π₯,π¦,π§)= 80/ 1+π₯^2+2π¦^2+3π§^2 , where π is measured in degree Celsius and π₯,π¦,π§ meters. In which direction does the temperature increases fastest at the point (1,1,β2)? What is the maximum rate of increase?
Solution
To determine the direction in which the temperature increases the fastest at the point and find the maximum rate of increase, we need to compute the gradient of the temperature function at that point.
Given:
Step 1: Calculate the Gradient of
The gradient of , denoted by , gives the direction of the fastest increase of the function, and its magnitude gives the maximum rate of increase.
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Compute partial derivatives with respect to , , and .
Let's rewrite as: Using the chain rule, we get:
So, the gradient is:
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Evaluate at the point .
Substitute , , and into :
Thus, Simplifying, , so:
Step 2: Determine the Direction and Magnitude of the Maximum Rate of Increase
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Direction of the fastest temperature increase: This is given by the direction of the gradient vector .
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Maximum rate of increase: This is the magnitude of : Calculating each term: Converting to and to :
Thus:
- Direction of fastest increase: .
- Maximum rate of increase: degrees Celsius per meter.
Would you like more details or explanations for specific steps?
Further Questions
- How would the gradient change if the function had additional parameters?
- How does the rate of change vary if we move in a direction perpendicular to the gradient?
- What does the temperature function tell us about the nature of temperature variation in space?
- How would the result differ if the point of evaluation were changed?
- Can we determine the rate of temperature change along a specific direction (not the gradient)?
Tip
The gradient of a scalar field points in the direction of the maximum rate of increase of the function at any given point.
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Math Problem Analysis
Mathematical Concepts
Calculus
Gradient
Partial Derivatives
Vector Calculus
Formulas
Gradient formula: βT = (βT/βx, βT/βy, βT/βz)
Magnitude of vector formula: |βT| = β((βT/βx)^2 + (βT/βy)^2 + (βT/βz)^2)
Theorems
Gradient Theorem for Directional Derivatives
Suitable Grade Level
College-level Calculus
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