Podcast
Questions and Answers
What is the gradient ∇𝜙 of the temperature distribution 𝜙 at the point (1, -2, -1)?
What is the gradient ∇𝜙 of the temperature distribution 𝜙 at the point (1, -2, -1)?
∇𝜙 = (6, -12, 4)
What are the divergence and curl of the vector field 𝑽 = (𝒙𝒚𝒛)𝒊 + (𝟑𝒙𝟐 𝒚)𝒋 + (𝒙𝒛𝟐 − 𝒚𝟐 𝒛)𝒌 at the point (2, -1, 1)?
What are the divergence and curl of the vector field 𝑽 = (𝒙𝒚𝒛)𝒊 + (𝟑𝒙𝟐 𝒚)𝒋 + (𝒙𝒛𝟐 − 𝒚𝟐 𝒛)𝒌 at the point (2, -1, 1)?
Divergence = 6, Curl = (0, 0, 0)
What is the relation between 𝑢 = 𝑥 + 𝑦 and 𝑣 = 𝑥/𝑦?
What is the relation between 𝑢 = 𝑥 + 𝑦 and 𝑣 = 𝑥/𝑦?
𝑣 = 𝑢/𝑦
How do you estimate the value of the function 𝑓(𝑥, 𝑦) = 𝑦𝑥 when 𝑥 = 1.03 and 𝑦 = 1.02 using Taylor series?
How do you estimate the value of the function 𝑓(𝑥, 𝑦) = 𝑦𝑥 when 𝑥 = 1.03 and 𝑦 = 1.02 using Taylor series?
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If 𝑓(𝑐𝑥 − 𝑎𝑧, 𝑐𝑦 − 𝑏𝑧) = 0, what is the relation between 𝑎, 𝑏, and 𝑐?
If 𝑓(𝑐𝑥 − 𝑎𝑧, 𝑐𝑦 − 𝑏𝑧) = 0, what is the relation between 𝑎, 𝑏, and 𝑐?
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Show that if 𝑢 = 𝑥³ + 𝑦³ + 𝑧³ + 3𝑥𝑦𝑧, then ∂𝑢/∂𝑥 + ∂𝑢/∂𝑦 + ∂𝑢/∂𝑧 = 3𝑢.
Show that if 𝑢 = 𝑥³ + 𝑦³ + 𝑧³ + 3𝑥𝑦𝑧, then ∂𝑢/∂𝑥 + ∂𝑢/∂𝑦 + ∂𝑢/∂𝑧 = 3𝑢.
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Verify that 𝑢 = tan^(-1)((𝑥 − 𝑦)) is a homogeneous function.
Verify that 𝑢 = tan^(-1)((𝑥 − 𝑦)) is a homogeneous function.
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Evaluate ∂𝑢/∂𝑥 + 𝑦 ∂𝑢/∂𝑦 for 𝑢 = tan^(-1)((𝑥 − 𝑦)).
Evaluate ∂𝑢/∂𝑥 + 𝑦 ∂𝑢/∂𝑦 for 𝑢 = tan^(-1)((𝑥 − 𝑦)).
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Evaluate 𝑥² + 𝑦² + 𝑧 ∂²𝑢/∂𝑥∂𝑦 + ∂²𝑢/∂𝑦∂𝑧 for 𝑢 = tan^(-1)((𝑥 − 𝑦)).
Evaluate 𝑥² + 𝑦² + 𝑧 ∂²𝑢/∂𝑥∂𝑦 + ∂²𝑢/∂𝑦∂𝑧 for 𝑢 = tan^(-1)((𝑥 − 𝑦)).
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Study Notes
Differential Calculus Overview
- Analyze temperature distribution within a composite material using the equation ( \phi = 3x^2y - y^3z^2 ).
- Gradient ( \nabla \phi ) indicates the direction and rate of fastest increase of the temperature function.
Evaluating Gradient
- Calculate ( \nabla \phi ) at the point (1, -2, -1) for the temperature distribution equation.
Vector Calculus
- Given the vector ( \vec{V} = (xyz) \hat{i} + (3x^2y) \hat{j} + (xz^2 - y^2z) \hat{k} ).
- Evaluate both divergence and curl of ( \vec{V} ) at the point (2, -1, 1) to analyze vector field properties.
Dependency of Variables
- Establish the relationship between ( u = x + y ) and ( v = \frac{x - y}{x} ).
- Demonstrate that ( u ) and ( v ) are dependent via their functional representation.
Taylor Series Expansion
- Model function ( f(x, y) = yx ) to relate rate of growth ( x ) and scaling factor ( y ).
- Use Taylor series expansion up to second-degree terms around the point (1, 1) for approximation when ( x = 1.03 ) and ( y = 1.02 ).
Homogeneous Functions
- Given ( f(cx - az, cy - bz) = 0 ), prove ( a + b = c ) using the chain rule in multivariable calculus.
Partial Derivation Equality
- Show ( \frac{\partial u}{\partial x} + \frac{\partial u}{\partial y} + \frac{\partial u}{\partial z} = 3u \cdot \frac{\partial u}{\partial x} \cdot \frac{\partial u}{\partial y} \cdot \frac{\partial u}{\partial z} ) where ( u = x^3 + y^3 + z^3 + 3xyz ).
Verification of Homogeneity
- For ( u = \tan^{-1} \left( \frac{x - y}{2} \right) ), confirm ( u ) is a homogeneous function.
- Evaluate ( \frac{\partial u}{\partial x} + y \cdot \frac{\partial u}{\partial y} ) and ( 2 \frac{\partial^2 u}{\partial x^2} + 2 \frac{\partial^2 u}{\partial y^2} + z \cdot \frac{\partial u}{\partial z}^2 ) for properties of partial derivatives.
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Description
This quiz covers key concepts in differential calculus, focusing on temperature distribution, gradient evaluations, vector calculus properties, and variable dependencies. Additionally, it explores Taylor series expansions in relation to growth rates and scaling factors. Test your understanding through practical problem-solving questions.