Derivative of a quadratic form: Difference between revisions
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Focusing on the subexpression <math>(x_0 + h)^{\mathrm T}A(x_0 + h)</math>, since <math>A</math> is a matrix, it is a linear transformation, so we obtain <math>(x_0 + h)^{\mathrm T}(Ax_0 + Ah)</math>. Since the transpose of a sum is the sum of the transposes, we have <math>(x_0^{\mathrm T} + h^{\mathrm T})(Ax_0 + Ah)</math>. Now using linearity we have <math>x_0^{\mathrm T}Ax_0 + h^{\mathrm T} Ax_0 + x_0^{\mathrm T} Ah + h^{\mathrm T}Ah</math>. | Focusing on the subexpression <math>(x_0 + h)^{\mathrm T}A(x_0 + h)</math>, since <math>A</math> is a matrix, it is a linear transformation, so we obtain <math>(x_0 + h)^{\mathrm T}(Ax_0 + Ah)</math>. Since the transpose of a sum is the sum of the transposes, we have <math>(x_0^{\mathrm T} + h^{\mathrm T})(Ax_0 + Ah)</math>. Now using linearity we have <math>x_0^{\mathrm T}Ax_0 + h^{\mathrm T} Ax_0 + x_0^{\mathrm T} Ah + h^{\mathrm T}Ah</math>. | ||
Now the fraction is | |||
:<math>\frac{\|x_0^{\mathrm T}Ax_0 + h^{\mathrm T} Ax_0 + x_0^{\mathrm T} Ah + h^{\mathrm T}Ah - x_0^{\mathrm T}Ax_0 - L(h)\|}{\|h\|} = \frac{\|h^{\mathrm T} Ax_0 + x_0^{\mathrm T} Ah + h^{\mathrm T}Ah - L(h)\|}{\|h\|}</math> | |||
Focusing on <math>h^{\mathrm T} Ax_0</math>, it is a real number so <math>h^{\mathrm T} Ax_0 = (h^{\mathrm T} Ax_0)^{\mathrm T} = x_0^{\mathrm T}A^{\mathrm T}h</math>. | |||
==Using the chain rule== | ==Using the chain rule== | ||
Revision as of 23:02, 13 July 2018
Let be an by real-valued matrix, and let be defined by . On this page, we calculate the derivative of .
Understanding the problem
Straightforward method
Using the definition of the derivative
The derivative is the linear transformation such that:
Using our function, this is:
Defining , we have and
Focusing on the subexpression , since is a matrix, it is a linear transformation, so we obtain . Since the transpose of a sum is the sum of the transposes, we have . Now using linearity we have .
Now the fraction is
Focusing on , it is a real number so .