Difference between revisions of "Conservative Vector Fields"
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+ | ===Path Independence=== | ||
+ | If a vector field '''F''' is the gradient of a scalar field ''G'' (i.e. if '''F''' is conservative), that is, | ||
+ | |||
+ | :<math>\mathbf{F} = \nabla G ,</math> | ||
+ | |||
+ | then by the multivariable chain rule, the derivative of the composition of ''G'' and '''r'''(''t'') is | ||
+ | |||
+ | :<math>\frac{dG(\mathbf{r}(t))}{dt} = \nabla G(\mathbf{r}(t)) \cdot \mathbf{r}'(t) = \mathbf{F}(\mathbf{r}(t)) \cdot \mathbf{r}'(t)</math> | ||
+ | |||
+ | which happens to be the integrand for the line integral of '''F''' on '''r'''(''t''). It follows, given a path ''C '', that | ||
+ | |||
+ | :<math>\int_C \mathbf{F}(\mathbf{r})\cdot\,d\mathbf{r} = \int_a^b \mathbf{F}(\mathbf{r}(t))\cdot\mathbf{r}'(t)\,dt = \int_a^b \frac{dG(\mathbf{r}(t))}{dt}\,dt = G(\mathbf{r}(b)) - G(\mathbf{r}(a)).</math> | ||
+ | |||
+ | In other words, the integral of '''F''' over ''C'' depends solely on the values of ''G'' at the points '''r'''(''b'') and '''r'''(''a''), and is thus independent of the path between them. For this reason, a line integral of a conservative vector field is called ''path independent''. | ||
+ | |||
=== Stokes' Theorem === | === Stokes' Theorem === | ||
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<math>\int_{\mathbf{q} \in C_3} \mathbf{F}(\mathbf{q}) \cdot d\mathbf{q} = 0</math> <math>\implies \int_{\mathbf{q} \in C_1} \mathbf{F}(\mathbf{q}) \cdot d\mathbf{q} = \int_{\mathbf{q} \in C_2} \mathbf{F}(\mathbf{q}) \cdot d\mathbf{q}</math> | <math>\int_{\mathbf{q} \in C_3} \mathbf{F}(\mathbf{q}) \cdot d\mathbf{q} = 0</math> <math>\implies \int_{\mathbf{q} \in C_1} \mathbf{F}(\mathbf{q}) \cdot d\mathbf{q} = \int_{\mathbf{q} \in C_2} \mathbf{F}(\mathbf{q}) \cdot d\mathbf{q}</math> | ||
+ | ===Scalar Potential=== | ||
+ | If '''F''' is a conservative vector field (also called ''irrotational'', ''curl-free'', or ''potential''), and its components have continuous partial derivatives, the '''potential''' of '''F''' with respect to a reference point <math>\mathbf r_0</math> is defined in terms of the line integral: | ||
+ | |||
+ | :<math>V(\mathbf r) = -\int_C \mathbf{F}(\mathbf{r})\cdot\,d\mathbf{r} = -\int_a^b \mathbf{F}(\mathbf{r}(t))\cdot\mathbf{r}'(t)\,dt,</math> | ||
+ | |||
+ | where ''C'' is a parametrized path from <math>\mathbf r_0</math> to <math>\mathbf r,</math> | ||
+ | |||
+ | : <math>\mathbf{r}(t), a\leq t\leq b, \mathbf{r}(a)=\mathbf{r_0}, \mathbf{r}(b)=\mathbf{r}.</math> | ||
+ | |||
+ | The fact that the line integral depends on the path ''C'' only through its terminal points <math>\mathbf r_0</math> and <math>\mathbf r</math> is, in essence, the '''path independence property''' of a conservative vector field. The fundamental theorem of line integrals implies that if ''V'' is defined in this way, then <math> \mathbf{F}= -\nabla V,</math> so that ''V'' is a scalar potential of the conservative vector field '''F'''. Scalar potential is not determined by the vector field alone: indeed, the gradient of a function is unaffected if a constant is added to it. If ''V'' is defined in terms of the line integral, the ambiguity of ''V'' reflects the freedom in the choice of the reference point <math>\mathbf r_0.</math> | ||
==Resources== | ==Resources== | ||
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* [https://www.youtube.com/watch?v=xVhHow_usMQ The Fundamental Theorem for Line Integrals] Video by Patrick JMT | * [https://www.youtube.com/watch?v=xVhHow_usMQ The Fundamental Theorem for Line Integrals] Video by Patrick JMT | ||
* [https://www.youtube.com/watch?v=hT3YSXQaUHQ Potential Function of a Conservative Vector Field to Evaluate a Line Integral] Video by Krista King | * [https://www.youtube.com/watch?v=hT3YSXQaUHQ Potential Function of a Conservative Vector Field to Evaluate a Line Integral] Video by Krista King | ||
+ | |||
+ | ==Licensing== | ||
+ | Content obtained and/or adapted from: | ||
+ | * [https://en.wikibooks.org/wiki/Calculus/Vector_calculus#Volume,_path,_and_surface_integrals Vector calculus, Wikibooks: Calculus] under a CC BY-SA license | ||
+ | * [https://en.wikipedia.org/wiki/Scalar_potential Scalar potential, Wikipedia] under a CC BY-SA license |
Latest revision as of 08:15, 3 November 2021
Contents
Path Independence
If a vector field F is the gradient of a scalar field G (i.e. if F is conservative), that is,
then by the multivariable chain rule, the derivative of the composition of G and r(t) is
which happens to be the integrand for the line integral of F on r(t). It follows, given a path C , that
In other words, the integral of F over C depends solely on the values of G at the points r(b) and r(a), and is thus independent of the path between them. For this reason, a line integral of a conservative vector field is called path independent.
Stokes' Theorem
Stokes' Theorem is effectively a generalization of Green's theorem to 3 dimensions, and the "curl" is a generalization of the quantity to 3 dimensions. An arbitrary oriented surface can be articulated into a family of infinitesimal surfaces, some parallel to the xy-plane, others parallel to the zx-plane, and the remainder parallel to the yz-plane. Let denote an arbitrary vector field.
Let be a surface that is parallel to the yz-plane with counter-clockwise oriented boundary . Green's theorem gives:
is positive if the normal direction to points in the positive x direction and is negative if otherwise. If the normal direction to points in the negative x direction, then is oriented clockwise instead of counter-clockwise in the yz-plane.
Repeating this argument for being parallel to the zx-plane and xy-plane respectively gives:
and
Treating as an ensemble of infinitesimal surfaces parallel to the yz-plane, zx-plane, or xy-plane gives:
This is Stokes' theorem, and is the "curl" of which generalizes the "circulation density" to 3 dimensions.
The direction of at is effectively an "axis of rotation" around which the counterclockwise circulation density in a plane whose normal is parallel to is . Out of all planes that pass through , the plane whose normal is parallel to has the largest counterclockwise circulation density at which is .
An arbitrary vector field that is differentiable everywhere is considered to be "irrotational" or "conservative" if everywhere, or equivalently that for all continuous closed curves
Conservative vector fields
A vector field for which at all points is an "conservative" vector field. can also be referred to as being "irrotational" since the gain around any closed curve is always 0.
A key property of a conservative vector field is that the gain of along a continuous curve is purely a function of the curve's end points. If and are two continuous curves which share the same starting point and end point , then . In other words, the gain is purely a function of and . This property can be derived from Stokes' theorem as follows:
Invert the orientation of to get and combine and to get a continuous closed curve , linking the curves together at the endpoints and . Let denote a surface for which is the counterclockwise oriented boundary.
Stokes' theorem states that . The gain around is the gain along minus the gain along : . Therefore:
Scalar Potential
If F is a conservative vector field (also called irrotational, curl-free, or potential), and its components have continuous partial derivatives, the potential of F with respect to a reference point is defined in terms of the line integral:
where C is a parametrized path from to
The fact that the line integral depends on the path C only through its terminal points and is, in essence, the path independence property of a conservative vector field. The fundamental theorem of line integrals implies that if V is defined in this way, then so that V is a scalar potential of the conservative vector field F. Scalar potential is not determined by the vector field alone: indeed, the gradient of a function is unaffected if a constant is added to it. If V is defined in terms of the line integral, the ambiguity of V reflects the freedom in the choice of the reference point
Resources
- Vector Calculus, Wikibooks: Calculus
Conservative Vector Fields
- Conservative Vector Fields Video by James Sousa, Math is Power 4U
- Conservative Vector Fields - The Definition and a Few Remarks Video by Patrick JMT
- Showing a Vector Field on R^2 is Conservative Video by Patrick JMT
Finding a Potential Function of a Conservative Vector Field
- Determining the Potential Function of a Conservative Vector Field Video by James Sousa, Math is Power 4U
- Finding a Potential for a Conservative Vector Field Video by Patrick JMT
- Finding a Potential for a Conservative Vector Field Ex 2 Video by Patrick JMT
- Potential Function of a Conservative Vector Field Video by Krista King
- Potential Function of a Conservative Vector Field in 3D Video by Krista King
The Fundamental Theorem of Line Integrals
- The Fundamental Theorem of Line Integrals Part 1 Video by James Sousa, Math is Power 4U
- The Fundamental Theorem of Line Integrals Part 2 Video by James Sousa, Math is Power 4U
- The Fundamental Theorem of Line Integrals on a Closed Path Video by James Sousa, Math is Power 4U
- Ex 1: Fundamental Theorem of Line Integrals in the Plane Video by James Sousa, Math is Power 4U
- Ex 2: Fundamental Theorem of Line Integrals in the Plane Video by James Sousa, Math is Power 4U
- Ex 3: Fundamental Theorem of Line Integrals in the Plane Video by James Sousa, Math is Power 4U
- Ex 4: Fundamental Theorem of Line Integrals in Space Video by James Sousa, Math is Power 4U
- The Fundamental Theorem for Line Integrals Video by Patrick JMT
- Potential Function of a Conservative Vector Field to Evaluate a Line Integral Video by Krista King
Licensing
Content obtained and/or adapted from:
- Vector calculus, Wikibooks: Calculus under a CC BY-SA license
- Scalar potential, Wikipedia under a CC BY-SA license