Learning objectives
What you will be able to explain
- Matrix functions and power series
- Vec-Kronecker identities
- Kronecker dimensions
- Kronecker algebra audit
- Vector norm formulas
- Matrix norm meanings
Section 01
Matrix functions and power series to Kronecker dimensions
01
Matrix functions and power series
Guided checkpoint
Let a scalar function have a convergent power series on the spectrum/domain of .
Source: Sec. 10.1, pp. 58-59
02
Vec-Kronecker identities
Guided checkpoint
Match expression to its vectorized form.
Source: Sec. 10.2, pp. 59-61
03
Kronecker dimensions
Guided checkpoint
If is and is , how many rows does have?
Source: Sec. 10.2, pp. 59-61
Section 02
Kronecker algebra audit to Matrix norm meanings
01
Kronecker algebra audit
Guided checkpoint
Assume compatible sizes and inverses.
Source: Sec. 10.2, pp. 59-61
02
Vector norm formulas
Guided checkpoint
Match norm to expression.
Source: Sec. 10.3, p. 61
03
Matrix norm meanings
Guided checkpoint
Match norm to characterization.
Source: Sec. 10.4, pp. 61-62
Section 03
Rank inequalities to Operator-level discipline
01
Rank inequalities
Guided checkpoint
Assume compatible matrices.
Source: Sec. 10.5, p. 62
02
Dirac delta sifting
Guided checkpoint
What does equal when the integration domain contains ?
Source: Sec. 10.6, pp. 62-63
03
Operator-level discipline
Guided checkpoint
Apply the final miscellaneous identities cautiously.
Source: Sec. 10.7, p. 63
Knowledge check
Turn understanding into recall.
The quiz now follows the same concepts in scored form. You can return to this lesson from the quiz whenever a gap appears.