First Order Derivatives
Forward Difference
$\frac{\delta u}{\delta x} = \frac{u_{i+1} - u_{i}}{\Delta x} + O(\Delta x)$
Derivation :
$u_{i+1}=u_{i} + \left .\frac{\Delta x}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + \left .\frac{(\Delta x)^2}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} + \left .\frac{(\Delta x)^3}{3 !} \frac{\delta ^3u}{\delta x ^3} \right \vert _{i} +O((\Delta x)^4) $
$\implies \frac{u_{i+1}-u_{i}}{\Delta x} = \left .\frac{1}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + \left .\frac{\Delta x}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} + \left .\frac{(\Delta x)^2}{3 !} \frac{\delta ^3u}{\delta x ^3} \right \vert _{i} +O((\Delta x)^3) $
$\implies \frac{u_{i+1}-u_{i}}{\Delta x} = \left .\frac{1}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + O((\Delta x)) $
Derivation :
$u_{i+1}=u_{i} + \left .\frac{\Delta x}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + \left .\frac{(\Delta x)^2}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} + \left .\frac{(\Delta x)^3}{3 !} \frac{\delta ^3u}{\delta x ^3} \right \vert _{i} +O((\Delta x)^4) $
$\implies \frac{u_{i+1}-u_{i}}{\Delta x} = \left .\frac{1}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + \left .\frac{\Delta x}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} + \left .\frac{(\Delta x)^2}{3 !} \frac{\delta ^3u}{\delta x ^3} \right \vert _{i} +O((\Delta x)^3) $
$\implies \frac{u_{i+1}-u_{i}}{\Delta x} = \left .\frac{1}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + O((\Delta x)) $
Backward Difference
$\frac{\delta u}{\delta x} = \frac{u_{i} - u_{i-1}}{\Delta x} + O(\Delta x)$
Derivation :
Derivation :
$u_{i-1}=u_{i} - \left .\frac{\Delta x}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + \left .\frac{(\Delta x)^2}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} - \left .\frac{(\Delta x)^3}{3 !} \frac{\delta ^3u}{\delta x ^3} \right \vert _{i} +O((\Delta x)^4) $
$\implies \frac{u_{i}-u_{i-1}}{\Delta x} = \left .\frac{1}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + O((\Delta x)) $
$\implies \frac{u_{i}-u_{i-1}}{\Delta x} = \left .\frac{1}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + O((\Delta x)) $
Central Difference
$\frac{\delta u}{\delta x} = \frac{u_{i+1} - u_{i-1}}{ 2\Delta x } + O((\Delta x)^2)$
Derivation :
Derivation :
$-u_{i+1}+u_{i} + \left .\frac{\Delta x}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + \left .\frac{(\Delta x)^2}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} + \left .\frac{(\Delta x)^3}{3 !} \frac{\delta ^3u}{\delta x ^3} \right \vert _{i} +O((\Delta x)^4) =0 -(1) $
$-u_{i-1}+u_{i} - \left .\frac{\Delta x}{1 !} \frac{\delta u}{\delta x} \right \vert _{i} + \left .\frac{(\Delta x)^2}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} - \left .\frac{(\Delta x)^3}{3 !} \frac{\delta ^3u}{\delta x ^3} \right \vert _{i} +O((\Delta x)^4) =0-(2)$
$(\alpha eqn_1 +\beta eqn_2) = ..... + 0*\left .\frac{(\Delta x)^2}{2 !} \frac{\delta ^2u}{\delta x ^2} \right \vert _{i} +O((\Delta x)^3) =0 -(3)$
Solving for $\alpha,\beta $ substituting in equation 3 , rearranging we get the above result.
Similarly using the above method, we can obtain higher order accuracies for forward, backward difference schemes as well.
Second Order Derivatives
Forward Difference
$\frac{\delta^2 u}{\delta x^2} = \frac{u_{i+2}-2u_{i+1} + u_{i}}{ \Delta x ^2} + O((\Delta x))$
Central Difference
$\frac{\delta^2 u}{\delta x^2} = \frac{u_{i}-2u_{i-1} + u_{i-2}}{ \Delta x ^2} + O((\Delta x))$
Central Difference
$\frac{\delta^2 u}{\delta x^2} = \frac{u_{i}-2u_{i-1} + u_{i-2}}{ \Delta x ^2} + O((\Delta x))$
$\frac{\delta^2 u}{\delta x^2} = \frac{u_{i+1}-2u_{i} + u_{i-1}}{ \Delta x ^2} + O((\Delta x)^2)$
Note : Derive the above equations for your own practice.
Other methods of derivation
There are many methods using which the above schemes can be derived . One is that of the polynomial method , the other one is discussed for a simple case below :
$$\frac{\delta ^n f}{\delta x ^n} = \frac{\delta ^{n-1} }{\delta x ^{n-1}} \left (\frac{\delta f}{\delta x }\right ) $$
Hence for a second order derivative (using forward difference) we get
$$\frac{\delta ^2 f}{\delta x ^2} = \frac{\delta }{\delta x } \left (\frac{f_{i+1} - f_{i}}{\Delta x} \right ) $$
$$\frac{\delta ^2 f}{\delta x ^2} = \left (\frac{\delta f_{i+1} }{\delta x}-\frac{\delta f_{i} }{\delta x}\right )\frac{1}{\Delta x} $$
$$\frac{\delta ^2 f}{\delta x ^2} = \left (\frac{ f_{i+1} -f_{i+1} }{\Delta x}-\frac{ f_{i+1} - f_{i} }{\Delta x}\right )\frac{1}{\Delta x} $$
$$\frac{\delta ^2 f}{\delta x ^2} = \left (\frac{ f_{i+1} - 2f_{i+1} +f_{i} }{\Delta x ^2} \right )$$
Polynomial method
Let there be a polynomial $f(x) = ax^2+bx+c$ .
$\frac{\delta f}{\delta x} = 2ax+b -(1)$
$\frac{\delta ^2 f}{\delta x ^2} = 2a -(2)$
Let at $x =0 ,f(x) = f_{i},x = \Delta x ,f(x) = f_{i+1} ,x =2 \Delta x ,f(x) = f_{i+2} $.
Now solve for $a , b,c$ in terms of $f_{i},f_{i+1},f_{i+2},\Delta x$
Substituting $a , b$ back in equation 1, 2 will give you the appropriate derivatives.
Try the above calculations for practice.
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