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may end up with data corruption. Permitting multiple oplock requests on readonly shares can result in significant performance improvement due to local client file caching. fake oplocks = <yes, no> Problems can occur if the data are accessed via non-Samba controlled interfaces. The Samba client holding the oplock isn't aware of access by the non-Samba application. Support for oplocks can be turned off for specific files by specifying one or more filematching patterns as values to the veto oplocks files parameter. veto oplocks files = /*.mbx/ You can also turn off oplock support in Windows 9x and Windows NT by modifying the system registry. This isn't a recommended procedure, because disabling all oplock support may adversely affect some Windows applications. If you choose to disable oplocks on the client side, refer to the Samba distribution document FileCaching.txt. A registry update file is also available in the Samba distribution for Windows 9x and Windows NT, Win9x-CacheHandling.reg, and NT4-Locking.reg. Another method of dealing with the unknown client access problem is facilitated by kernel-level oplocks supported under some UNIX implementations. When another process, like NFS, touches a file that has been oplocked by Samba, the lock is broken or downgraded per the specified oplock options. kernel oplocks = <yes, no> Byte-range locking within a file can be enabled/disabled with the ole locking compatibility parameter. Samba implements byte-range locking by invoking the fcntl() system call. fcntl() tracks location range using a 32 bit signed integer. Windows OLE2 clients use the 32nd bit of the range value as a semphore that may cause range value problems for some UNIX and NFS systems. ole locking compatibility = <yes, no>

these difference equations may be solved by induction to yield the following recurrence formula for A k ( z ) :

which is called the step-up recucrion. The recursion is initialized by setting A o ( z ) = 1. This recurrence formula also defines a recurrence relation for the coefficients a k ( i )of A k ( z ) ,which is

SIGNALS AND SYSTEMS The output of this system at time n is the product of the values of the input x ( n ) at times n - 1, . . . , n Therefore, because the output depends only on past values of the input signal, the system is causal.

( f ) This system is not causal, which may be seen easily if we rewrite the system definition as follows:

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Therefore, the input must be known for all n 5 0 to determine the output at time n . For example, to find y ( - 5 ) we must know x(O), x ( - I), x(-2), . . .. Thus, the system is noncausal.

DOS and Windows clients don't support cross-file linking similar to UNIX symbolic links. Samba allows clients to follow UNIX symbolic links by enabling the follow links parameter. Symbolic link targets that reside outside a share's directory tree can be accessed from a client by enabling the wide links parameter. follow symlinks = <yes, no>

Determine which of the following systems are stable:

(b) y ( n ) = ex(")/ x ( n - 1)

The pro t-maximizing or best level of output for the monopolist is the output at which MR = MC. Price is then read off the demand curve. Depending on the level of AC at this output, the monopolist can have profits, break even, or minimize the short-run total losses. Example 14.1 From Table 14.1, the monopolist maximizes total pro ts at $3.75 when it produces and sells 2.5 units of output at the price of $5.50. At this output, MR = MC = $3. As long as MR > MC, the monopolist will expand output and sales because doing so adds more to TR than to TC (and pro ts Table 14.1

(a) Let x(n) be any bounded input with Ix(n)l c M .Then it follows that the output, y ( n ) = x2(n),may be bounded by I ~ ( n ) = lx(n)12 < M 2 l Therefore, this system is stable,

(b) This system is clearly not stable. For example, note that the response of the system to a unit sample x ( n ) = S(n) is infinite for all values of n except n = 1.

At times when a share becomes too popular for existing server resources, you can limit the number of concurrent connections with the max connections parameter. This feature might also be useful for checking concurrent accesses due to licensing restrictions:

(d) This system corresponds to a digital integrator and is unstable. Consider, for example, the step response of the system. With x ( n ) = u ( n ) we have, for n 2 0 ,

This system may be shown to be stable by using the following inequality:

Specifically, if x ( n ) is bounded, Ix(n)l < M ,

( f ) This system is not stable. This may be seen by considering the bounded input x(n) = cos(nrr/l). Specifically, note that the output of the system at time n = 0 is

which is unbounded. Alternatively, because the input-output relation is one of convolution, this is a linear shift-invariant system with a unit sample response

- 159 -

Determine which of the following systems are invertible:

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