POISSON’S EQUATION
8. POISSON’S EQUATION
We are going to derive Poisson’s equation (1.2) for a simple problem whose answer we know in advance. Using our known solution, we shall be able to see a method of solving more difficult problems.
Recall from Chapter 6, Section 8, that the gravitational field is conservative, that is, curl F = 0, and there is a potential function V such that F = −∇V . If we consider the gravitational field at a point P due to a point mass m a distance r away, we have
where u is a unit vector along r toward P . It is straightforward to show that div F = 0 and V satisfies Laplace’s equation (Problem 1), that is,
Now suppose there are many masses m i at distances r i from P . The total potential at P is the sum of the potentials due to the individual m i , that is,
and the total gravitational field at P is the vector sum of the fields F i , that is,
F=−
∇ V i = −∇V.
Note that we are taking it for granted that none of the masses m i are at P , that is, that no r i is zero. Since
∇· F i
= −∇ 2 V i = 0,
Section 8 Poisson’s Equation 653
we have also
Instead of a number of masses m i , we can consider a continuous distribution of mass inside a volume τ (Figure 8.1). Let ρ be the mass density of the distribution; then the mass in an element dτ is ρ dτ . The gravita- tional potential at P due to this mass ρdτ is −(Gρ/r) dτ. Then the total gravitational po- tential at P due to the whole mass distribution is the triple integral over the volume τ :
As before, the contribution to V at P due to each bit of mass satisfies Laplace’s equation and therefore V satisfies Laplace’s equation. Also the total field F at P is the vector sum of the fields due to the elements of mass, and as before we have
Again note that we are implicitly assuming that none of the mass distribution the region τ .
Now let us investigate what happens if P is a point of τ . Can we find V from (8.3) and does V satisfy Laplace’s equation? Let S be a small sphere of radius a about P ; imagine all the mass removed from inside S (Figure 8.2). Then our previous dis- cussion holds at points inside S since these points are not in the mass distri- bution. If F ′ and V ′ are the new field and potential (with the matter inside
S removed), then ∇ · F ′ = −∇ 2 V ′ =0
at points inside S. Now restore the mass inside S; let F and V represent the field and potential due to the whole distri- bution and let F S and V S represent the field and potential due to just the mass inside S. Then F = F ′ +F S and at
Figure 8.2 points inside S
∇· F=∇·F ′ +∇·F S =∇·F S
since ∇ · F ′ = 0 inside S. By the divergence theorem (see Figure 8.2 and Chapter 6, Section 10)
volume of S
surface of S
If we let the radius a of S tend to zero, the density ρ of matter inside S tends to its value at P ; thus for small a, S contains a total mass M approximately equal to
654 Partial Differential Equations Chapter 13
3 πa ρ, where ρ is evaluated at P . The gravitational field at the surface of S due to this mass is of magnitude
Parts
» CONVERGENCE TESTS FOR SERIES OF POSITIVE TERMS; ABSOLUTE CONVERGENCE
» CONDITIONALLY CONVERGENT SERIES
» POWER SERIES; INTERVAL OF CONVERGENCE
» EXPANDING FUNCTIONS IN POWER SERIES
» TECHNIQUES FOR OBTAINING POWER SERIES EXPANSIONS
» ACCURACY OF SERIES APPROXIMATIONS
» COMPLEX POWER SERIES; DISK OF CONVERGENCE
» ELEMENTARY FUNCTIONS OF COMPLEX NUMBERS
» POWERS AND ROOTS OF COMPLEX NUMBERS
» THE EXPONENTIAL AND TRIGONOMETRIC FUNCTIONS
» LINEAR COMBINATIONS, LINEAR FUNCTIONS, LINEAR OPERATORS
» LINEAR DEPENDENCE AND INDEPENDENCE
» SPECIAL MATRICES AND FORMULAS
» EIGENVALUES AND EIGENVECTORS; DIAGONALIZING MATRICES
» APPLICATIONS OF DIAGONALIZATION
» A BRIEF INTRODUCTION TO GROUPS
» POWER SERIES IN TWO VARIABLES
» APPROXIMATIONS USING DIFFERENTIALS
» CHAIN RULE OR DIFFERENTIATING A FUNCTION OF A FUNCTION
» APPLICATION OF PARTIAL DIFFERENTIATION TO MAXIMUM AND MINIMUM PROBLEMS
» MAXIMUM AND MINIMUM PROBLEMS WITH CONSTRAINTS; LAGRANGE MULTIPLIERS
» ENDPOINT OR BOUNDARY POINT PROBLEMS
» DIFFERENTIATION OF INTEGRALS; LEIBNIZ’ RULE
» APPLICATIONS OF INTEGRATION; SINGLE AND MULTIPLE INTEGRALS
» CHANGE OF VARIABLES IN INTEGRALS; JACOBIANS
» APPLICATIONS OF VECTOR MULTIPLICATION
» DIRECTIONAL DERIVATIVE; GRADIENT
» SOME OTHER EXPRESSIONS INVOLVING ∇
» GREEN’S THEOREM IN THE PLANE
» THE DIVERGENCE AND THE DIVERGENCE THEOREM
» THE CURL AND STOKES’ THEOREM
» SIMPLE HARMONIC MOTION AND WAVE MOTION; PERIODIC FUNCTIONS
» APPLICATIONS OF FOURIER SERIES
» COMPLEX FORM OF FOURIER SERIES
» LINEAR FIRST-ORDER EQUATIONS
» OTHER METHODS FOR FIRST-ORDER EQUATIONS
» SECOND-ORDER LINEAR EQUATIONS WITH CONSTANT COEFFICIENTS AND ZERO RIGHT-HAND SIDE
» SECOND-ORDER LINEAR EQUATIONS WITH CONSTANT COEFFICIENTS AND RIGHT-HAND SIDE NOT ZERO
» OTHER SECOND-ORDER EQUATIONS
» SOLUTION OF DIFFERENTIAL EQUATIONS BY LAPLACE TRANSFORMS
» A BRIEF INTRODUCTION TO GREEN FUNCTIONS
» THE BRACHISTOCHRONE PROBLEM; CYCLOIDS
» SEVERAL DEPENDENT VARIABLES; LAGRANGE’S EQUATIONS
» TENSOR NOTATION AND OPERATIONS
» KRONECKER DELTA AND LEVI-CIVITA SYMBOL
» PSEUDOVECTORS AND PSEUDOTENSORS
» VECTOR OPERATORS IN ORTHOGONAL CURVILINEAR COORDINATES
» ELLIPTIC INTEGRALS AND FUNCTIONS
» GENERATING FUNCTION FOR LEGENDRE POLYNOMIALS
» COMPLETE SETS OF ORTHOGONAL FUNCTIONS
» NORMALIZATION OF THE LEGENDRE POLYNOMIALS
» THE ASSOCIATED LEGENDRE FUNCTIONS
» GENERALIZED POWER SERIES OR THE METHOD OF FROBENIUS
» THE SECOND SOLUTION OF BESSEL’S EQUATION
» OTHER KINDS OF BESSEL FUNCTIONS
» ORTHOGONALITY OF BESSEL FUNCTIONS
» SERIES SOLUTIONS; FUCHS’S THEOREM
» HERMITE FUNCTIONS; LAGUERRE FUNCTIONS; LADDER OPERATORS
» LAPLACE’S EQUATION; STEADY-STATE TEMPERATURE IN A RECTANGULAR PLATE
» THE DIFFUSION OR HEAT FLOW EQUATION; THE SCHR ¨ODINGER EQUATION
» THE WAVE EQUATION; THE VIBRATING STRING
» STEADY-STATE TEMPERATURE IN A CYLINDER
» VIBRATION OF A CIRCULAR MEMBRANE
» STEADY-STATE TEMPERATURE IN A SPHERE
» INTEGRAL TRANSFORM SOLUTIONS OF PARTIAL DIFFERENTIAL EQUATIONS
» EVALUATION OF DEFINITE INTEGRALS BY USE OF THE RESIDUE THEOREM
» THE POINT AT INFINITY; RESIDUES AT INFINITY
» SOME APPLICATIONS OF CONFORMAL MAPPING
» THE NORMAL OR GAUSSIAN DISTRIBUTION
» STATISTICS AND EXPERIMENTAL MEASUREMENTS
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