Chapter 6: Problem 52
The Legendre polynomials are also generated by Rodrigues' formula $$ P_{n}(x)=\frac{1}{2^{2} n !} \frac{d^{n}}{d x^{n}}\left(x^{2}-1\right)^{n} . $$ Verify the results for \(n=0,1,2,3\).
Short Answer
Expert verified
Legendre polynomials for n=0, 1, 2, 3 are: 1, x, \(\frac{3}{2}x^2 - \frac{1}{2}\), and \(\frac{5}{2}x^3 - \frac{3}{2}x\).
Step by step solution
01
Understanding Rodrigues' formula
Rodrigues' formula generates Legendre polynomials: \(P_n(x) = \frac{1}{2^n n!} \frac{d^n}{dx^n} (x^2 - 1)^n\). We'll compute this for \(n=0, 1, 2, 3\). This involves differentiating the expanded form of \((x^2 - 1)^n\), where \(n\) is the order of the polynomial, and simplifying.
02
Compute for n=0
Substituting \(n=0\) into Rodrigues' formula, we get \(P_0(x) = \frac{1}{1} \frac{d^0}{dx^0} (x^2 - 1)^0 = \frac{d^0}{dx^0} 1 = 1\). Hence, \(P_0(x) = 1\).
03
Compute for n=1
For \(n=1\), the formula becomes \(P_1(x) = \frac{1}{2^1 1!} \frac{d^1}{dx^1} (x^2 - 1)^1\). Expand \((x^2 - 1)^1 = x^2 - 1\). Now differentiate once to get \(2x\). Therefore, \(P_1(x) = \frac{1}{2} \cdot 2x = x\).
04
Compute for n=2
For \(n=2\), we use \(P_2(x) = \frac{1}{2^2 \cdot 2!} \frac{d^2}{dx^2} (x^2 - 1)^2\). First, expand \((x^2 - 1)^2 = x^4 - 2x^2 + 1\). Take the second derivative: \(12x^2 - 4\). Thus, \(P_2(x) = \frac{1}{8} \cdot (12x^2 - 4) = \frac{3}{2}x^2 - \frac{1}{2}\). Correct it with normalization factor: \(P_2(x)= \frac{3}{2}x^2 - \frac{1}{2}\).
05
Compute for n=3
For \(n=3\), we evaluate \(P_3(x) = \frac{1}{2^3 \cdot 3!} \frac{d^3}{dx^3} (x^2 - 1)^3\). First, expand \((x^2 - 1)^3 = x^6 - 3x^4 + 3x^2 - 1\). Differentiate three times to get \(120x^3 - 24x\). Thus, \(P_3(x) = \frac{1}{48} (120x^3 - 24x) = \frac{1}{2}(5x^3 - 3x) = \frac{5}{2}x^3 - \frac{3}{2}x\).
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Rodrigues' formula
Rodrigues' formula is a powerful tool used to generate Legendre polynomials. These are a sequence of polynomials that are solutions to certain types of differential equations. The formula is written as:\[P_n(x) = \frac{1}{2^n n!} \frac{d^n}{dx^n} (x^2 - 1)^n\]Here's what it means:
- \(P_n(x)\) is the nth Legendre polynomial.
- The term \((x^2 - 1)^n\) is the base expression whose nth derivative is taken.
- \(\frac{d^n}{dx^n}\) involves differentiating \((x^2 - 1)^n\) n times.
- \(n!\) is the factorial of \(n\), used for normalization.
Differential equations
Legendre polynomials often appear as solutions to differential equations, more specifically, the Legendre differential equation:\[(1 - x^2)\frac{d^2y}{dx^2} - 2x\frac{dy}{dx} + n(n+1)y = 0\]In this equation:
- You'll find it involves second-order differentiation, as indicated by \(\frac{d^2y}{dx^2}\).
- The expression \(n(n+1)\) is crucial, connecting the polynomial order to the differential equation.
- This equation is commonly encountered in physics, particularly in problems involving spherical coordinates due to its symmetry properties.
Polynomial order
The "order" of a polynomial is a term used to describe the highest degree of its terms. In Legendre polynomials, the order \(n\) determines both the degree of the polynomial and its complexity:
- Lower-order polynomials are simpler with fewer terms. For instance, \(P_0(x) = 1\) is just a constant.
- As the order increases, polynomials become more complex. For example, \(P_3(x) = \frac{5}{2}x^3 - \frac{3}{2}x\) includes cubic and linear terms.
- The order also dictates how many times \((x^2 - 1)^n\) is differentiated, making higher-order calculations more involved.
Orthogonal polynomials
Legendre polynomials are a classic example of orthogonal polynomials. Orthogonality here implies a special kind of independence. Two functions (or polynomials) are orthogonal if their inner product over a specific interval is zero:\[\int_{-1}^{1} P_m(x) P_n(x) \, dx = 0, \quad \text{for} \quad m eq n \]Key properties:
- This orthogonality simplifies computations in areas such as numerical analysis and approximation theory.
- It allows for decompositions of more complex functions into simple polynomial components over the interval \([-1, 1]\).
- Legendre polynomials often appear in expansions of functions in terms of a series, much like Fourier series.