Difference between revisions of "Partial Derivatives and Integrals"

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(Created page with "===Partial Derivatives of Functions from Rn to Rm=== <p>One of the core concepts of multivariable calculus involves the various differentiations of functions from <span class=...")
 
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<p>One of the core concepts of multivariable calculus involves the various differentiations of functions from <span class="math-inline"><math>\mathbb{R}^n</math></span> to <span class="math-inline"><math>\mathbb{R}^m</math></span>. We begin by defining the concept of a partial derivative of such functions.</p>
 
<p>One of the core concepts of multivariable calculus involves the various differentiations of functions from <span class="math-inline"><math>\mathbb{R}^n</math></span> to <span class="math-inline"><math>\mathbb{R}^m</math></span>. We begin by defining the concept of a partial derivative of such functions.</p>
 
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<td><strong>Definition:</strong> Let <span class="math-inline"><math>S \subseteq \mathbb{R}^n</math></span> be open, <span class="math-inline"><math>\mathbf{c} \in S</math></span>, and <span class="math-inline"><math>\mathbf{f} : S \to \mathbb{R}^m</math></span>. Denote <span class="math-inline"><math>\mathbf{e}_k = (0, 0, ..., 0, \underbrace{1}_{k^{\mathrm{th}} \: coordinate}, 0, ..., 0) \in \mathbb{R}^n</math></span> for each <span class="math-inline"><math>k \in \{ 1, 2, ..., n \}</math></span>, i.e., <span class="math-inline"><math>\mathbf{e}_k</math></span> is the unit vector in the direction of the <span class="math-inline"><math>k^{\mathrm{th}}</math></span> coordinate axis. Then the <strong>Partial Derivative of <span class="math-inline"><math>\mathbf{f}</math></span> at <span class="math-inline"><math>\mathbf{c}</math></span> with Respect to the <span class="math-inline"><math>k^{\mathrm{th}}</math></span> Variable</strong> is defined as <span class="math-inline"><math>\displaystyle{D_k \mathbf{f} (\mathbf{c}) = \lim_{h \to 0} \frac{\mathbf{f} (\mathbf{c} + h\mathbf{e}_k) - \mathbf{f}(\mathbf{c})}{h}}</math></span> provided that this limit exists.</td>
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<td><strong>Definition:</strong> Let <span class="math-inline"><math>S \subseteq \mathbb{R}^n</math></span> be open, <span class="math-inline"><math>\mathbf{c} \in S</math></span>, and <span class="math-inline"><math>\mathbf{f} : S \to \mathbb{R}^m</math></span>. Denote <span class="math-inline"><math>\mathbf{e}_k = (0, 0, ..., 0, \underbrace{1}_{k^{\mathrm{th}} \; coordinate}, 0, ..., 0) \in \mathbb{R}^n</math></span> for each <span class="math-inline"><math>k \in \{ 1, 2, ..., n \}</math></span>, i.e., <span class="math-inline"><math>\mathbf{e}_k</math></span> is the unit vector in the direction of the <span class="math-inline"><math>k^{\mathrm{th}}</math></span> coordinate axis. Then the <strong>Partial Derivative of <span class="math-inline"><math>\mathbf{f}</math></span> at <span class="math-inline"><math>\mathbf{c}</math></span> with Respect to the <span class="math-inline"><math>k^{\mathrm{th}}</math></span> Variable</strong> is defined as <span class="math-inline"><math>\displaystyle{D_k \mathbf{f} (\mathbf{c}) = \lim_{h \to 0} \frac{\mathbf{f} (\mathbf{c} + h\mathbf{e}_k) - \mathbf{f}(\mathbf{c})}{h}}</math></span> provided that this limit exists.</td>
 
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<p>Suppose that <span class="math-inline"><math>S \subseteq \mathbb{R}^n</math></span> is open, <span class="math-inline"><math>\mathbf{c} \in S</math></span>, and <span class="math-inline"><math>f : S \to \mathbb{R}</math></span>. Then the partial derivative of <span class="math-inline"><math>f</math></span> at <span class="math-inline"><math>\mathbf{c}</math></span> with respect to the <span class="math-inline"><math>k^{\mathrm{th}}</math></span> variable is:</p>
 
<p>Suppose that <span class="math-inline"><math>S \subseteq \mathbb{R}^n</math></span> is open, <span class="math-inline"><math>\mathbf{c} \in S</math></span>, and <span class="math-inline"><math>f : S \to \mathbb{R}</math></span>. Then the partial derivative of <span class="math-inline"><math>f</math></span> at <span class="math-inline"><math>\mathbf{c}</math></span> with respect to the <span class="math-inline"><math>k^{\mathrm{th}}</math></span> variable is:</p>

Revision as of 12:17, 10 November 2021

Partial Derivatives of Functions from Rn to Rm

One of the core concepts of multivariable calculus involves the various differentiations of functions from to . We begin by defining the concept of a partial derivative of such functions.

Definition: Let be open, , and . Denote for each , i.e., is the unit vector in the direction of the coordinate axis. Then the Partial Derivative of at with Respect to the Variable is defined as provided that this limit exists.

Suppose that is open, , and . Then the partial derivative of at with respect to the variable is:

For example, consider the function defined by:

Then the partial derivative of with respect to the variable at the point is:

We can also easily calculate the partial derivatives and . So the definition of a partial derivative for is somewhat justified since the case when yields the definition of the partial derivative for a multivariable real-valued function.

Furthermore, suppose that and that . Then where for each are single-variable real-valued functions. The partial derivative of with respect to the first variable (the only variable, or simply just the derivative) at is:

For example, consider the function defined by:

Then the derivative of is:

And the derivative of at is:

Once again, the definition is justified since when we have that the definition reduces down to the special case of differentiating a single variable vector-valued function.

Now let's look at a more complicated example of computing a partial derivative. Let be defined by:

Then the partial derivative of at with respect to the first variable is:

So the partial derivative of with respect to the first variable at say is .