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Tom's edits and typo corrections of demand-sy on Feb 17 morning
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in-work/quantecon_undergrad_notes_tom_3.md

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Let
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* $\Pi$ be an $n\times n$ matrix of XXXX,
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* $\Pi$ be an $n\times n$ matrix,
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* $c$ be an $n \times 1$ vector of consumptions of various goods,
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* $b$ be an $n \times 1$ vector of bliss points,
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* $e$ be an $n \times 1$ vector of endowments, and
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* $p$ be an $n\times 1$ vector of prices
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We assume that $\Pi$ has an inverse $\Pi^{-1}$ and that $\Pi^\top \Pi$ is a positive definite matrix.
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The matrix $\Pi$ describes a consumer's willingness to substitute one good for another, for each pair of
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good in the $n \times 1$ vector $c$.
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A consumer faces $p$ as a price taker and chooses $c$ to maximize the utility function
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$$
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p ^\top (c -e ) = 0
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$$ (eq:old2)
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We shall specify examples in which $\Pi$ and $b$ are such that it typically happens that
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$$
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\Pi b > > c
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$$ (eq:bversusc)
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so that utility function {eq}`eq:old2` tells us that the consumer has consumes of each good that he wants.
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Condition {eq}`eq:bversusc` will ultimately assure us that competitive equilibrium prices are all positive.
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## Digression: Marshallian and Hicksian Demand Curves
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**Remark:** We'll use budget constraint {eq}`eq:old2` in situations in which a consumers's endowment vector $e$ is his **only** source of income. But sometimes we'll instead assume that the consumer has other sources of income (positive or negative) and write his budget constraint as
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* For a Hicksian demand curve, hypothetical price vector changes produce changes in quantities determined that have only **substitution** effects
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* changes in the price vector leave the $p^e + W$ unaltered because we freeze $\mu$ and solve for $W$
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* changes in the price vector leave the $p^\top e + W$ unaltered because we freeze $\mu$ and solve for $W$
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Sometimes a Hicksian demand curve is called a **compensated** demand curve in order to emphasize that, to disarm the income (or wealth) effect associated with a price change, the consumer's wealth $W$ is adjusted.
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-.5 \mu^{-1}(\Pi c -b) ^\top (\Pi c -b ) -h c - .5 c^\top J c
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$$
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In this formulation, $\mu$ is a parameter that describes how the planner weights interests of outside suppliers and our representative consumer.
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The first-order condition with respect to $c$ is
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$$
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- \mu^{-1} \Pi^\top \Pi c + \mu^{-1}\Pi^\top b - h - .5 H c = 0
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- \mu^{-1} \Pi^\top \Pi c + \mu^{-1}\Pi^\top b - h - H c = 0
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$$
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which implies {eq}`eq:old5p`.
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* Gorman (everyone has some $\Pi$)
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* mongrel (heterogeneous $\Pi$)
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```python
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import numpy as np
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x =np.random.rand(100,1)
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```
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```python
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```

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